Kurikulum S3 ITS

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FAKULTAS TEKNOLOGI INDUSTRI

FACULTY Of INDUSTRIAL TECHNOLOGY

Program Studi Department

PROGRAM PASCASARJANA TEKNIK ELEKTRO DEPARTEMENT Of ELECTRICAL ENGINEERING

Jenjang Pendidikan Programme

DOKTOR DOCTOR

Kompetensi

Lulusan

Menguasai pendekatan teori, konsep, dan paradigma yang sesuai dengan bidang keilmuan masing-masing dalam bidang teknik elektro.

Mampu memanfaatkan pengetahuan dan keterampilan dalam bidang keahlian masing-masing untuk memecahakan persoalan yang kompleks dan multidisplin dengan pendekatan ilmiah.

Berperan dalam komunitas ilmiah berskala internasional.

Graduate

Competence

Mastering theoritical, conceptual, and paradigm approaches in electrical engineering fields.

Have capability to ulitize knowledge and skill to solve complex and multidiciplinary problems using scientific approaches.

Have role in international scientific communities.

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STRUKTUR KURIKULUM PROGRAM DOKTORAL 2009-2014

No. Kode MK Code

Nama Mata Kuliah (MK) Course Title

sks Credits

SEMESTER I

1 Mata Kuliah 1

Course 1

3

2 Mata Kuliah 2

Course 2

3

3 TE.093001 Pra-Riset

Pre-Research

2

Jumlah sks/Total of credits 8

SEMESTER II

1 Mata Kuliah 3

Course 3

3

2 Mata Kuliah 4

Course 4

3

3 TE.093081 Riset 1 Research 1

2

4 TE.093071 Seminar 1 Seminar 1

1


SEMESTER III


5


1


SEMESTER IV


5


1


SEMESTER V


5


1


SEMESTER VI

1 TE.093099 Penulisan Disertasi Dissertation Writing

4

2 TE.093098

Seminar Disertasi Dissertation Seminar

1


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Bidang Electric Drive

No. Kode MK Code


sks Credits

1 TE.093101 Kendali Motor Listrik Lanjut

Advanced Electrical Motor Control

3

2 TE.093102 Elektronika Daya dan Kendali

Power Electronics and Control

3

3 TE.093103 Teknologi Kendali Motor Listrik Berbasis Kecerdasan

Buatan

Electric Motor Control Technology Based on AI

3

4 TE.093104 Rekayasa dan Pengkondisian Energi Terbarukan

Engineering and Conditioning of Renewable Energy

3

5 TE.093105 Sistem Konverter Pada Transmisi Distribusi

Converter System of Transmission and Distribution

3

6 TE093106 Sistem Kendali Kualitas Daya Listrik

Control System of Electric Power Quality

3

7 TE093107 Penggunaan dan Pemilihan Mesin Listrik Lanjut

Selection and Application of Electrical Machines

3


Bidang Power System

No. Kode MK Code


sks Credits

1 TE.093201 Kestabilan Sistem Tenaga Listrik

Power System Stability

3

2 TE.093202 Kualitas Kelistrikan Distribusi

Power Qualty on Distribution System

3

3 TE.093203 Sistem Tenaga Listrik Skala Besar

Large Scale Electric Power System

3

4 TE.093204 Strategi Kendali Hibrid Cerdas Sistem Tenaga Listrik

Intelligent Hybrid Control Strategies on Power System

3

5 TE.093205 Koordinasi Kendali dan Proteksi Pada Pembangkit Sistem

Tenaga Listrik

Power Plant Control and Protection Coordination

3

6 TE.093206 Gejala Peralihan Pada Sistem Tenaga Listrik

Transient at Electric Power System

3

7 TE.093207 Kendali Terdistribusi untuk Sistem Kelistrikan Interkoneksi

Distributed Control for Interconnected Power System

3

8 TE.093208 Pemodelan Dinamika Sistem Tenaga Listrik

Power System Dynamics Modeling

3

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9 TE.093209 Kendali Daya pada Saluran Interkoneksi

Power Tie Line Control

3

10 TE.093210 Pemodelan dan Kendali Beban

Load Modeling and Control

3

11 TE.093211 Optimasi Cerdas, Keandalan dan Perencanaan

Intelligent Optimization, Reliability, and Planning

3

12 TE.093212 Koordinasi Multikontroller

Coordination of Multi Controllers

3


Bidang Intelligent System

No. Kode MK Code


sks Credits

1 TE.093301 Dinamika Tak Linier dan Chaotic

Non linear dynamics and Chaotic

3

2 TE.093302 Machine Learning I

Machine Learning I

3

3 TE.093303 Machine Learning II

Machine Learning II

3


Bidang Multimedia Communication

No. Kode MK Code


sks Credits

1 TE.093401 Deteksi dan Estimasi

Detection and Estimation

3

2 TE.093402 Sistem Komunikasi Digital Lanjut

Advanced Digital Communication System

3

3 TE.093403 Pengolahan Sinyal Multimedia Lanjut

Advanced Multimedia Signal Processing

3

4 TE.093404 Optimisasi untuk Sistem Komunikasi Optimization for Communication System

3

5 TE.093405 Sistem Komunikasi Nirkabel Multi - Antena Optical Communication System

3

6 TE.093406 Pengolahan Sinyal Statistik & Adaptif Statistic Signal Processing and Adaptive

3

7 TE.093407 Jaringan Komunikasi Nirkabel Wireless Communication Network

3


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Bidang Applied Electronics

No. Kode MK Code


sks Credits

1 TE.093501 Rancangan Sistem Elektronika

Electronics System Design

3

2 TE.093502 Elektronika Industri Lanjut

Advanced Industrial Electronics

3

3 TE.093503 Robotika dan Kecerdasan Buatan

Robotics and AI

3

4 TE093504 Teknologi Sensor

Sensor Technology

3

5 TE093505 Perencanaan Trayektori Untuk Mesin Otomatis dan Robot

Trajectory Planning for Automatic Machine and Robot

3

6 TE093506 Manufaktur Terintegrasi Berbasis Komputer

Computer Intergrated Manufacture

3


Bidang Biomedical Engineering

No. Kode MK Code


sks Credits

1 TE.093601 Teknologi Biomedika Lanjut

Advanced Biomedical Technology

3

2 TE.093602 Teknik Klinika

Clinical Engineering

3

3 TE.093603 Analisa dan Pemodelan Sinyal Biologis

Biological Signal Analysis and Modeling

3

4 TE.093604 Rekayasa Rehabilitasi

Rehabilitation Engineering

3

5 TE.093605 Biomekanika Gerakan Manusia

Biomechanics of Human Movements

3

6 TE.093606 Sistem Cerdas dalam Rekayasa Biomedika

Intelligent System in Biomedical Engineering

3

7 TE.093610 Topik Khusus BME Lanjut

Selected Topic on Advanced Biomedical Engineering

3

8 TE.093611 Analisa dan Rekonstruksi Sinyal Suara Untuk Apliksi

Biomedika

Speech Signal Analysis and Reconstruction FOR

BIOMEDICAL APPLICATION

3


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Bidang Control Engineering

No. Kode MK Code


sks Credits

1 TE.093702 Sistem Pengaturan Aljabar dan Geometri Geometric and

Algebraic Control Systems

3

2 TE.093703 Identifikasi Sistem dan Penapisan optimal Optimal Filtering andSystems Identificfation

3

3 TE.093704 Esensi Ruang Vektor dan Aplikasinya

Essential of Vector Space and Its Application

3

4 TE.093705 Sistem Pengaturan Berjaringan

Networked Control Systems

3

5 TE.093706 Optimisasi Matematika dalam Sistem Pengaturan Cerdas

Mathematical Optimization in Intelligent Control Systems

3


Bidang Computer Engineering

No. Kode MK Code


sks Credits

1 TE.093801 Arsitektur Komputer Lanjut

Advanced Computer Architecture

3

2 TE.093802 Data Mining

Data Mining

3

3 TE.093803 Komputasi Bergerak

Mobile Computing

3


Bidang Game Technology

No. Kode MK Code


sks Credits

1 TE.093811 Teori Permainan

Game Theory

3

2 TE.093812 Arsitektur Unit Pengolah Grafis

Graphical Processing Unit Architecture

3

3 TE.093813 Lingkungan Maya Permainan

Game Virtual Environment

3

4 TE.093814 Antarmuka Permainan

Game User Interface

3


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Bidang Telematics

No. Kode MK Code


sks Credits

1 TE.093901 Komputasi Grid

Grid Computing

3

2 TE.093902 Sistem Biometrika

Biometric System

3

3 TE.093903 Jaringan Komunikasi Multimedia

Multimedia Communication Network

3

4 TE.093904 Sistem Komunikasi Nirkabel Pita Lebar

Broadband Wireless Communication System

3

5 TE.093905 Topik Khusus Telematika

Selected Topics in Telematics

3


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SILABUS KURIKULUM/COURSE SYLLABUS

Bidang Electric Drive

MATA KULIAH/

COURSE TITLE

TE - 093101: Kendali Motor Listrik Lanjut

TE - 093101: Advanced Electrical Motor Control

Sks /Credits: 3

TUJUAN PEMBELAJARAN/

LEARNING OBJECTIVES

Mempelajari dan Memahami konsep dasar Kendali Motor listrik.

Mempelajari dan memahami analisis Kendali Motor listrik yang meliputi motor listrik beserta karakteristiknya, bagaimana kontrolnya, dan memahami konverter daya sebagai catu daya motor listrik.

KOMPETENSI/

COMPETENCY

Mahasiswa memahami dan mampu memahami konsep Kendali Motor Listrik.

Mahasiswa memahami, menghitung dan menganalisis motor listrik yang mendapatkan catu daya dari konverter daya, dan cara melakukan kontrolnya.

POKOK BAHASAN/

SUBJECTS

Konsep Kendali Motor Listrik: Komponen Kendali Motor

Listrik, Persyaratan dari adjustable speed drive, Macam-

macam Kendali Motor Listrik, Kendali Motor Listrik dc

dan ac, Trend dari Kendali Motor Listrik.

Karakteristik Motor elektrik sebagai penggerak:

Modeling Motor Elektrik, Karakteristik Motor dc,

Karakteristik Motor Induksi tiga-fasa, Karakteristik

Motor Sinkron, Braking motor elektrik, Starting motor

elektrik.

Dinamika Motor elektrik sebagai penggerak dalam

Kendali Motor Listrik: Klasifikasi Kendali Motor Listrik,

Elemen dasar Kendali Motor Listrik, Kondisi Dinamik dari

Kendali Motor Listrik, Stabilitas dalam Kendali Motor

Listrik.

Konverter sebagai catu aya motor elektrik dalam Kendali

Motor Listrik: Konsep Koverter Daya, Phase controlled

line commutated converter, Chopper, Inverter,

Cycloconverter, AC Voltage Controller.

Kontrol motor elektrik dalam Kendali Motor Listrik:

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Induction Motor Drives, Sysnchronous Motor Drives, DC

Motor Drives.

Rating dan Heating dan Selktion motor elektrik dalam

Kendali Motor Listrik: Persyaratan Motor elektrik untuk

Kendali Motor Listrik, Power losses dan heating dalam

motor elektrik, Classes of duty cycle dan selection motor

elektrik dalam Kendali Motor Listrik.

Kontrol Teknik dalam Kendali Motor Listrik: Fitur dasar

dari Kendali Motor Listrik, Diagram Blok dari Kendali

Motor Listrik, Signal Flow Graph, Transfer function,

Transient response dari closed loop dalam Kendali

Motor Listrik, Stability dari controlled Kendali Motor

Listrik, Cmpensation dan Controllers dalam Kendali

Motor Listrik.

PUSTAKA UTAMA/MAIN

REFERENCES

Soebagio, Pengemudian Elektrik, Diktat Kuliah jurusan Teknik Elektro, FTI-ITS, 2009.

G. K. Dubey, Power Semiconductor Control Drives, Prentice Hall Int. & Co., London, Sidney, Toronto, Mexico, New Delhi, Tokyo, Singapore, Rio Publising Co.de Jenairo, New Jersey, 1989.

V. Subrahmayam, Electric Drives, Tata Mc Graw Hill Publishing Co. & Ltd., New Delhi, 1994.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

S.K. Sen, Electrical Machinery Khanna Publishers, New Delhi,1993.

B.S. Guru & H.R. Hizirỏglu, Electric Machinery and Transformers Harcourt Brace Javanovich, Publishers, Technology Publications, San Diego, New York, Chicago, Austin, Washington DC, London, Tokyo, Toronto, 1988.

J. Chapman, Electric Machinery Fundamentals, McGraw-Hill, Inc., New York,St. Louis, San Fransisco, Auckland, Bogotá, Caracas, Hamburg, Lisbon, London, Madrid, Mexico, Milan, Montreal, New Delhi, Paris, San Juan, Sǎo Paolo, Singapore, Sydney, Tokyo, Toronto, 1991.

PRASYARAT/PREREQUISITE Rangkaian Listrik, Medan Elektromagnetik, Sistem Elektro-Mekanik, Mesin Sinkron Lanjut.

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MATA KULIAH/

COURSE TITLE

TE - 093102: Elektronika Daya dan Kendali

TE - 093102: Power Electronics and Control

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa dapat mereview lingkup sistem yang berbasis elektronika daya.

Mahasiswa dapat memahami karakteristik, menganalisis, memodelkan, dan mengembangkan sistem pengkonversian energi baik open loop maupun closed loop.

Mahasiswa dapat memahami dan mengembangkan sistem elektronika daya untuk berbagai aplikasi misalnya untuk power supply, pengatur kecepatan motor, perbaikan kualitas daya, Flexible AC Transmission Systems (FACTS).

Students are able to review the power electronic based systems.

Students are able to understand the characteristics, to analyze, to model and to develop energy conversion systems, including the open loop and the closed loop.

Students are able to understand and develop power electronic system for any applications, such as power supply system, variable speed drive, power quality improvement, Flexible AC Tranmission Systems (FACTS).

KOMPETENSI/

COMPETENCY

Mahasiswa dapat menjelaskan lingkup sistem yang berbasis saklar semikonduktor.

Mahasiswa dapat mengidentifikasi, menganalisis, memodelkan, dan mengembangkan sistem yang berkaitan dengan pengkonversi energi baik open loop maupun closed loop.

Mahasiswa dapat memahami dan mengembangkan sistem berbasis elektronika daya yang berlandaskan kaidah atau standard terkait.

Mahasiswa mampu menjelaskan ide dalam bentuk penulisan dan lisan.

Students are able to explain the semiconductor switch based systems.

Students are able to identify, analyze, model, and develop energy conversion systems, open loop and closed loop.

Students are understand and develop power electronic

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systems based on available standards.

Students are able to explain ideas in written and oral presentation.

POKOK BAHASAN/

SUBJECTS

Sistem operasi saklar semikonduktor: lingkup, aplikasi dan elektronika daya lanjut; Contoh peralatan uninterruptible power supply (UPS); Parameter utama pada saklar mekanis, elektro-mekanis dan semikonduktor; Prinsip kerja dan karakteristik diode, thyristor dan transistor

Konsep Harmonisa dalam sistem tenaga: gelombang cacat, deret Fourier, penyebab harmonisa, efek harmonisa, standard harmonisa, konsep daya pada gelombang cacat: P, Q, pf

Sistem Terintegrasi: blok diagram sistem, sistem open loop, sistem closed loop, error compensator: analog, software based, artificial intelligent

Teknik Kendali: kestabilan sistem dan metode tuning kompensator: trial error, ziegler nichols, analisis small signal, diagram bode, pole, zero

Aplikasi konverter DC-to-DC: karakteristik konverter buck, boost, dan buck-boost

Aplikasi konverter AC-to-AC: pengontrolan mode phase delay dengan beban resistif, induktif; pengontrolan mode integral cycle; cyclo-converter

Aplikasi konverter AC-to-DC: sistem 1 fasa, sistem 3 fasa

Aplikasi konverter DC-to-AC: sistem 1 fasa, sistem 3 fasa basic concept and semiconductor switches, concept and principles of harmonic distortion, dc-dc converter, ac-dc converter, dc-ac converter, ac-c converter, closed loop systems, error compensator, system integration, application example: uniterruptible power suppy, variable speed drive

PUSTAKA UTAMA/MAIN

REFERENCES

MH. Rashid. Power Electronics, John Wiley and Son publishing Company, 2003

Phillip T Krein, Element of Power Electronics, Oxford University Press.

Topik-topik pada Jurnal ilmiah international

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Jurnal ilmiah

PRASYARAT/PREREQUISITE -

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MATA KULIAH/

COURSE TITLE

TE - 093103: Teknologi Kendali Motor Listrik Berbasis

Kecerdasan Buatan

TE - 093103: Electric Motor Control Technology Based on

AI

Sks /Credits: 3


LEARNING OBJECTIVES

Able to implement the concept & structure of the biological inspired computation to the drive system, can solve, examines & analyse the principle of the biological inspired computation that is used to the electric drive system.

KOMPETENSI/

COMPETENCY

Able to develope & implement the package software of the biological inspired computation to solve the problems in the field of electric drive through a simulation.

POKOK BAHASAN/

SUBJECTS

Overview on soft computing, fundamental concepts of parameter estimation and adaptive control using soft computing, fundamental concepts in modeling and control schemes used in advanced AC drives systems based on soft

computing.

PUSTAKA UTAMA/MAIN

REFERENCES

Transc on Industrial Application, Power Electronic,

Electronic Industry, IEEE journal.

Neural Networks, INNS Journal.

Transc on Neural Networks, Fuzzy Logic, Evolutionary

Algorithm, System Man & Cybernetic (part A,B and C),

IEEE Journal.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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MATA KULIAH/

COURSE TITLE

TE - 093104: Rekayasa dan Pengkondisian Energi

Terbarukan

TE – 093104: Engineering and Conditioning of

Renewable Energy

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa dapat memahami dan menganalisis konsep pengkonversian tenaga listrik dari sumber energi terbarukan terutama tenaga surya, angin, air.

Mahasiswa dapat memahami dan menganalisis cara kerja dan karakteristik komponen utama sistem pembangkit listrik dengan energi terbarukan: sistem penyimpan energi, sistem pengontrolan stand-alone, hybrid dan terintegrasi dengan jala-jala.

Mahasiswa dapat memahami metode mengoperasikan daya maksimum secara mekanik, elektrik, dan berbasis kecerdasan buatan.

Mahasiswa memahami sistem kelistrikan dengan energi terbarukan secara lengkap dan analisis ekonomi.

Students are able to understand and analyze the concept of electrical energy conversion on renewable energy, especially solar, wind and hydro.

Students are able to understand and analyze principles and characteritics of main components of power generation using renewable energy: storage system, stand alone control system, hybrid and grid interconnection.

Students are able to understand the operation method of maximum power with manual, electric, nd artificial intelligent based.

Students are able to understand a comprehensive power system with renewable energy sources, including the economic analysis.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat menjelaskan prinsip kerja dan karakteristik sumber energi terbarukan, terutama photovoltaic, tenaga angin, tenaga air.

Mahasiswa dapat mengidentifikasi, menganalisis dan mendesain pembangkit listrik dengan sumber energi terbarukan: stand-alone, hybrid, terintegrasi dengan jala-jala.

Mahasiswa dapat memahami metode untuk mengoperasikan sumber energi terbarukan pada daya

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maksimum secara mekanik, elektrik, dan berbasis kecerdasan buatan.

Mahasiswa dapat menguasai konsep dan mengembangkan suatu sistem kelistrikan dengan sumber energi terbarukan beserta analisis ekonomi.


Students are able to explain the operation principles and characteristics of renewable energy especially photovoltaic, wind power, hydro power.

Students are able to identify, analyze, and design power generation system with renewable energy.

Students are able to understand the method to operate renewable energy sources at the peak power by mechanical, electrical and artificial intelligent based.

Students are able to develop a power system using renewable energy sources including the economic analysis.

POKOK BAHASAN/

SUBJECTS

Konsep dasar energi dan lingkungan: review dan proyeksi kebutuhan- pemenuhan energi dunia, nasional; Pemakaian dan potensi sumber energi fosil dan terbarukan; Global warming dan efek terhadap lingkungan; Energy policy dunia; Pengelolaan Energi Nasional.

Karakteristik energi surya dan photovoltaic: review cahaya matahari sebagai sumber energi, kerapatan energi, insolasi relatif terhadap pergerakan matahari, karakteristik sel photovoltaic, daya maksimum.

Karakteristik tenaga angin dan turbin angin : review energi kinetik, karakteristik energi angin, kerapatan energi angin, karakteristik turbin angin, konsep dasar desain turbin angin.

Karakteristik tenaga air dan turbin air: review energi potensial, karakteristik tenaga air, karakteristik turbin air, konsep dasar desain turbin air.

Sistem pembangkit listrik dengan energi terbarukan: peruntukan dan karakteristik sistem pembangkit listrik dengan energi terbarukan: rumah tunggal, komunitas, peralatan komunikasi; jenis stand-alone, hybrid; interkoneksi dengan jala-jala; konsep dan desain sistem.

Sistem penyimpan energi: jenis-jenis sistem penyimpan energi, jenis battery, karakteristik battery, metode charging battery.

Sistem pengkondisian daya; maximum power point tracker untuk photovoltaic, angin dan air: sistem

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mekanik, elektronik analog, elektronik berbasis software.

Sistem Pengaman dan Kontrol: Sistem pengaman utama: overcurrent, short circuit, overcharged-discharged; Sistem kontrol analog, berbasis software, berbasis kecerdasan buatan untuk battery charged-discharged, dispatch strategy, optimisasi .

Studi kelayakan dan analisis ekonomi: potensi sumber energi terbarukan, potensi sosial, rencana sistem kelistrikan, rencana manajemen pengelolaan; Metode Present Value untuk analisis Simple Payback Period, Internal Rate of Return.

Basic concept of energy and environment, characteristics of photovoltaic, characteristics of wind power and turbines, characteristics of hydropower and turbines, small scale power system, storage system, power conditioning systems, protection system and control, feasibility study and economic analysis.

PUSTAKA UTAMA/MAIN

REFERENCES

John F Walker, Nicholas jenkins, Wind Energy, John Wiley and Sons, England.

SR. Wenham, MA. Green, ME. Watt, Applied Photovoltaic, national Library of Australia.

E. Paul DeGarmo, William G Sullivan, James A Bontadelli, Engineering Economy, Mc Millan Publishing Co, 8th edition.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Ned Mohan, Underland, Robbins. Power Electronics, converters, applications, and design, John Wiley and Sons, USA, second edition.


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Bidang Power System

MATA KULIAH/

COURSE TITLE

TE - 093201: Kestabilan Sistem Tenaga Listrik

TE - 093201: Power System Stability

Sks /Credits: 3


LEARNING OBJECTIVES

Memberi pengayaan pada mahasiswa Strata-3 untuk melakukan evaluasi, mendiskripsikan ulang, dan mengungkapkan ide-ide lojik secara lisan dan tertulis pada kestabilan sistem tenaga listrik secara luas. To give enrichment for Ph D students in evaluation, and

description to explore the idea logically the stability on

power system.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat melakukan evaluasi peran kestabilan pada penyelesaian permasalahan sistem tenaga listrik.

Mahasiswa dapat mendiskripsikan parameter dan variabel yang mempengaruhi kestabilan sistem tenaga listrik.

Mahasiswa dapat mengungkapkan argumentasi dan mengembangkan pengaruh kestabilan pada desain sistem tenaga listrik.

The student can evaluate of the power system stability.

The student can describe the power system stability.

The student can explore arguments and develop the idea to design the parameter to improve power system stability.

POKOK BAHASAN/

SUBJECTS

Mengungkap ulang paper-paper dari Journal International (IEE, IEEE, Elsevier Journal) yang bertopik tentang kestabilan sistem tenaga listrik untuk dapat melakukan redesain dan mengevaluasi kembali.

PUSTAKA UTAMA/MAIN

REFERENCES

Imam Robandi, Desain Sistem Tenaga Modern: Fuzzy Logic, Optimization, Genetic Algorithm, ANDI Publisher, 2006.

A.A. Fouad and Vijay Vittal, Power System Transient Stability Analysis, Using the Transient Energy Function Method, Prentice Hall, Englewood Cliffs, New Jersey, 1992.

P.M. Anderson and A.A. Fouad, Power System Control and Stability, The Iowa State University Press, 1977.

Prabha Kundur, Power System Stability and Control,

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McGraw-Hill, Inc., 1994.

M.A. Pai, Power System Stability, North-Holland Publishing Company, 1981.

K.R. Padiyar, Power System Dynamics, John Wiley & Sons Ltd, Interlaine Publishing Ltd. 1996.

Marija Ilic, et.al.,Dynamics and Control of Large Electric Power Systems, John Wiley & Sons, Inc., 2000.

Agelidis et.al, Electronic Control in Electrical Power Systems (Power Engineering Series), IEEE, 2002.

Journal IEE, IEEE, dan Elsevier Journal.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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MATA KULIAH/

COURSE TITLE

TE - 093202: Kualitas Kelistrikan Distribusi

TE - 093202: Power Qualty on Distribution System

Sks /Credits: 3


LEARNING OBJECTIVES

Memahami identifikasi dan solusi masalah Kualitas Daya

Listrik pada sistem distribusi tenaga listrik.

To have an understanding of Power Quality Identification

and Solution in electric power distribution systems.

KOMPETENSI/

COMPETENCY

Mahasiswa memiliki kemampuan dalam melakukan identifikasi dan solusi masalah Kualitas Daya Listrik, dan penerapannya pada sistem distribusi tenaga listrik. To have a skill of Power Quality identification and solution, and its application in electric power distribution systems.

POKOK BAHASAN/

SUBJECTS

Definisi Kualitas Daya Listrik; Kompensasi Daya Reaktif;

Aliran Daya dan Pengendalian Rugi-rugi Jaringan; Penurunan

Tegangan sesaat dan Pemadaman; Tegangan Lebih

peralihan; Variasi Tegangan dengan Durasi Lama;

Harmonisa; Pengawatan dan Pentanahan.

Terms and Definitions; Reactive Power compensation; Power

Flow and Network Loss management; Voltage Sag and

Interruptions; Transient Overvoltages; Long Duration

Voltage Variations; Harmonics; Wiring and Grounding.

PUSTAKA UTAMA/MAIN

REFERENCES

W. Mielcczarski / G.J. Anders / M.F. Conlon / W.B. Lawrence /H. Khalsa / G. Michalik, Quality of Electricity Supply & Management of Network Losses, Puma Press, 1997.

Roger C. Dugan / Mark F.McGranagan / H. Wayne Beaty, Electrical Power Systems Quality, McGraw Hill, 1996.

Wilson E. Kazibwe / Musoke H. Sendaula, Electric Power Quality Control Techniques, Van Nostrand Reinhold, 1993.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Artikel dari jurnal ilmiah : IEEE Trans. On Power Systems, IEEE Trans. On Power Delivery, dan lain-lain.


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COURSE TITLE

TE - 093203: Sistem Tenaga Listrik Skala Besar

TE - 093203: Large Scale Electric Power System

Sks /Credits: 3


LEARNING OBJECTIVES

Analisis dan Desain Kontroler untuk Dinamika Sistem Tenaga

Listrik Skala Besar.

Stability Analysis and Controller Design of Large Scale

Power Systems.

KOMPETENSI/

COMPETENCY

Mahasiswa memahami persoalan-persoalan kestabilan dalam sistem skala besar.

Mahasiswa mampu memodelkan sistem skala besar untuk studikestabilan.

Mahasiswa dapat menerapkan metode-metode analisis stabilitas untuk menganalisis sistem tenaga listrik skala besar.

Mahasiswa dapat mendesain dan mengkoordinasikan multi kontroler untuk memperbaiki kestabilan sistem skala besar.

Understanding the stability of Large Scale Power Systems.

Able to model Large Scale Power Systems for Stability Analysis.

Able to implement stability method to analysis Large Scale Power Systems Stability.

Able to design and coordinate multi controller to enhance Large Scale Power Systems Stability.

POKOK BAHASAN/

SUBJECTS

Dasar-dasar kestabilan multi mesin : Pengenalan secara umum definisi dan jenis-jenis gangguan dan kestabilan dalam sistem tenaga listrik skala besar.

Kestabilan transient multimesin : Pemodelan generator, jaringan, beban dan divais FACTS, persamaan keseimbangan daya multi mesin, penyederhanaan ke sistem mesin tunggal, kurva daya multi mesin, analisis kestabilan dengan kriteria sama luas.

Kestabilan Dinamik multimesin: Membahas prinsip prinsip kestabilan dinamik, model generator, FACTS, governor, AGC, eksitasi, AVR, PSS, jaringan, beban dan pengaruhnya, terhadap kestabilan dinamik, persamaan kestabilan dinamik, analisis kestabilan multi frekuensi, osilasi mekanik local dan inter-area.

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Kestabilan Tegangan dalam skala luas: dasar-dasar kestabilan tegangan, teori sensitivitas, limit transfer daya jaringan, kurva nose, voltage collapse.

Desain controller : Dasar-dasar desain kontroler, desain dan koordinasi multi kontroler, teori multi agent, aplikasi artificial intelligence, aplikasi SCADA, sekilas sinkrophasor.

Basics of multi machine stability: General introduction to the type of fault and stability at large scale power systems.

Transient stability of multi machine : Model of generator, network, load and FACTS device, multi machine power equation, method to determine equivalent single machine system, power curve of multi machine, Stability analysis using equal area criterion.

Dynamic stability of multi machine : The principle of dynamic stability, model of generator, FACTS, governor, AGC, excitation, AVR, PSS, network, load and their influence to the dynamic stability, multi frequency stability analysis, mechanic local and inter-area oscillation.

Voltage Stability at Large Power Systems: Basics of Voltage Stability, sensitivity theory, network power transfer limit, nose curve, voltage collapse.

Controller Design : Basics of Controller Design, Design and Coordination of Multiple Controller, multi agent theory, artificial intelligence implementation, SCADA application, sinchrophasor.

PUSTAKA UTAMA/MAIN

REFERENCES

P.M. Anderson, A.A. Fouad Power System Control and Stability .

Prabha Kundur, Power System Control and Stability.

Kimbark, Power System Stability.

Glenn W. Stagg, Ahmed H. El-Abiad, Computer Methods in Power System Analysis, McGraw Hill.

K. R. Padiyar, Power System Dynamics Stability and Control, John Wiley & Sons, 1995.

Jan Marchowski, et.al.,Power System Dynamics and Stability, John Wiley & Sons, 1997.

Bonar panjaitan, Teknologi Sistem Pengendalian Tenaga Listrik Berbasis SCADA, Prenhallindo, 1999.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

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PRASYARAT/PREREQUISITE Analisis Sistem Tenaga I dan II (S-1)

Power System Analysis (S-1)

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MATA KULIAH/

COURSE TITLE

TE – 093204 : Strategi Kendali Hibrid Cerdas Sistem Tenaga Listrik

TE – 093204 : Intelligent Hybrid Control Strategies

on Power System

Sks /Credits: 3

TUJUAN

PEMBELAJARAN/

LEARNING

OBJECTIVES

Memberi pengayaan pada mahasiswa Strata-3 untuk dapat melakukan sintesis dan evaluasi tingkat lanjut, mendiskripsikan ulang, dan mengungkapkan ide-ide lojik secara lisan dan tertulis pada aplikasi Kontrol Hibrid Cerdas. To give enrichment for Ph D students in advanced evaluation, and description to explore the idea logically on Intelligent Hybrid Control application for power system.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat melakukan evaluasi peran Kontrol Hibrid pada penyelesaian permasalahan sistem tenaga listrik.

Mahasiswa dapat mendiskripsikan parameter dan variabel Kontrol Hibrid tingkat lanjut pada penyelesaian permasalahan sistem tenaga listrik yang kompleks.

Mahasiswa dapat mengungkapkan argumentasi dan mengembangkan ide desain Kontrol Hibrid pada penyelesaian permasalahan sistem tenaga listrik.

The student can evaluate hybrid control of the power system model.

The student can describe the power system hybrid control components.

The student can explore arguments and develop the idea to design the hybrid controllers in the power system.

POKOK BAHASAN/

SUBJECTS

Mengungkap ulang paper-paper dari Journal International (IEE, IEEE, Elsevier Journal) yang bertopik tentang Kontrol Hibrid yang meliputi control optimal, genetic algorithm, neural network, fuzzy logic, kontrol cerdas yang lain untuk dilakukan redesain dan dievaluasi kembali.

PUSTAKA UTAMA/

REFERENCES



PUSTAKA

PENUNJANG

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COURSE TITLE

TE - 093205: Koordinasi Kendali dan Proteksi Pada

Pembangkit Sistem Tenaga Listrik

TE - 093205: Power Plant Control and Protection

Coordination

Sks /Credits: 3


LEARNING OBJECTIVES

Mampu mengkoordinasikan peralatan kendali dan proteksi

pada Generator.

Able to coordinate generator control and protection device .

KOMPETENSI/

COMPETENCY

Mahasiswa memahami operasi generator.

Mahasiswa memahami keamanan operasi generator.

Mahasiswa memahami dasar-dasar proteksi generator.

Mahasiswa memahami dasar-dasar kendali generator .

Mahasiswa mampu mengkoordinasikan peralatan proteksi dan kendali generator.

Understanding Generator Secure Operation.

Understanding Generator Protection Concept.

Understanding Generator Control Concept.

Able to coordinate generator control and protection device .

POKOK BAHASAN/

SUBJECTS

Dasar-dasar operasi generator : Operasi tanpa beban, operasi berbeban, speed-droop, operasi paralel, jenis-jenis kontroler pada generator, operasi pada kondisi tak normal.

Keamanan operasi generator : Kurva kapabilitas, batas stator, batas rotor, batas turbin, batas kestabilan dinamik.

Dasar-dasar proteksi generator : proteksi diferensial, proteksi arus lebih, proteksi internalfault, proteksi hubung singkat ke tanah, proteksi under/over voltage, proteksi under/over frekuensi, proteksi reverse flow, proteksi out of step.

Dasar-dasar kendali generator : pengaturan tegangan, pengaturan frekuensi, power system stabilizer, AVR, eksitasi, kinerja governor/AGC, kontrol pelepasan beban.

Koordinasi peralatan proteksi dan kendali generator: koordinasi AVR limitter dengan batas rotor, koordinasi overcurrent dengan batas stator, koordinasi relai out of step dengan under excitation limiter (UEL) dan limit

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kestabilan steady state.

Basics of Generator Secure Operation: normal operation, speed-droop, parallel operation, generator controller type, upnormal operation, capability curve, stator limit, rotor limit, turbine limit, dynamic stability limit.

Basics of Generator Protection: differensial Protection, overcurrent Protection, internal fault Protection, ground fault Protection, under/over voltage Protection, under/over frequency Protection, reverse flow Protection, out of step Protection.

Basics of generator control: voltage regulation, frequency control, power system stabilizer, AVR, excitation, governor/AGC, load shedding control.

Generator protection and control coordination: AVR limitter and rotor limit coordination, overcurrent and stator limit coordination, relay out of step and under excitation limiter (UEL) coordination and steady state stability limit.

PUSTAKA UTAMA/MAIN

REFERENCES

P.M. Anderson, A.A. Fouad Power System Control and Stability.

Prabha Kundur, Power System Control and Stability.

Kimbark, Power System Stability.

Glenn W. Stagg, Ahmed H. El-Abiad, Computer Methods in Power System Analysis, McGraw Hill.

K. R. Padiyar, Power System Dynamics Stability and Control, John Wiley & Sons, 1995.

Jan Marchowski, et.al.,Power System Dynamics and Stability, John Wiley & Sons, 1997.

Bonar panjaitan, Teknologi Sistem Pengendalian Tenaga Listrik Berbasis SCADA, Prenhallindo, 1999.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

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PRASYARAT/PREREQUISITE Analisis Sistem Tenaga I dan II (S-1)

Power System Analysis (S-1)

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COURSE TITLE

TE - 093206: Gejala Peralihan Pada Sistem Tenaga Listrik

TE - 093206: Transient at Electric Power System

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami fenomena gejala peralihan yang terjadi pada sistem tenaga listrik dan mengurangi pengaruh gejala transient terhadap sistem tenaga listrik. Students have knowledge about electrical transient phenomena in power system .

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menjelaskan dan memahami gejala peralihan pada sistem tenaga listrik.

Mahasiswa mampu menjelaskan dan memahami cara-cara mengurangi pengaruh gejala peralihan pada sistem tenaga listrik.

Students can explain and understand transient phenomena in power system.

Students can explain and understand the way to minimize effect of transient in power sytem.

POKOK BAHASAN/

SUBJECTS

Paparan tentang gejala peralihan

Gejala peralihan kontak sederhana

Peredam

Gejala peralihan kontak abnormal

Gejala peralihan pada rangkaian tiga fasa

Overview of transient phenomena

Simple switching transient

Damping

Abnormal switching transient

Transient in three phase Circuits

Gelombang berjalan pada jalur transmisi

Pemodelan gejala peralihan

Petir

Insulation coordination

Sistem pengaman dan peralatan peredam gejala peralihan tegangan lebih

Traveling waves on transmission lines

Transient Modeling

Lightning

Insulation coordination

Protection of System and equipment against transient overvoltage

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PUSTAKA UTAMA/MAIN

REFERENCES

Allan Greenwood, Electrical Transients in Power Systems, 2nd edition,, John wiley and Sons, Inc, 1991.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Khalil Denno,High Voltage Engineering in Power Systems, CRC Press. Inc, 1991.


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MATA KULIAH/

COURSE TITLE

TE - 093207: Kendali Terdistribusi untuk Sistem

Kelistrikan Interkoneksi

TE - 093207: Distributed Control for Interconnected

Power System

Sks /Credits: 3


LEARNING OBJECTIVES

Memberi pengayaan pada mahasiswa Strata-3 untuk melakukan evaluasi tingkat lanjut, mendiskripsikan ulang, dan mengungkapkan ide-ide lojik secara lisan dan tertulis pada aplikasi Kontrol Terdistribusi pada sistem tenaga listrik. To give enrichment for Ph D students in advanced evaluation and description to explore the idea logical in the distributed electrical power control system.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat melakukan evaluasi tingkat lanjut peran Kontrol Terdistribusi pada penyelesaian permasalahan sistem tenaga listrik.

Mahasiswa dapat mendiskripsikan parameter dan variabel Kontrol Terdistribusi pada penyelesaian permasalahan sistem tenaga listrik.

Mahasiswa dapat mengungkapkan argumentasi dan mengembangkan ide desain Kontrol Terdistribusi pada penyelesaian permasalahan sistem tenaga listrik yang kompleks.

The student can evaluate distributed control of the power system model.

The student can describe the distributed control of power system.

The student can explore arguments and develop the idea to design the distributed control in the power system.

POKOK BAHASAN/

SUBJECTS

Mengungkap ulang paper-paper dari Journal International (IEE, IEEE, Elsevier Journal) yang bertopik tentang aplikasi Kontrol Terdistribusi pada sistem tenaga listrik untuk dilakukan redesain dan dievaluasi kembali.

PUSTAKA UTAMA/MAIN

REFERENCES



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PENUNJANG/OPTIONAL

REFERENCES

PRASYARAT/PREREQUISITE - -

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COURSE TITLE

TE - 093208: Pemodelan Dinamika Sistem Tenaga Listrik

TE - 093208: Power System Dynamics Modeling

Sks /Credits: 3


LEARNING OBJECTIVES

Memberi bekal pada mahasiswa untuk dapat melakukan pemodelan sebagai bekal awal untuk melakukan sintesis, mendiskripsikan ulang, dan mengungkapkan ide-ide lojik secara lisan dan tertulis pada peran sistem kendali pada sistem sistem tenaga listrik. To give to the students to model the power system in dynamics approach to do syntheses, re-description, and to explore logically the idea in power system control.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat melakukan sintesis dan evaluasi peran sistem kontrol pada sistem tenaga listrik.

Mahasiswa dapat mendiskripsikan komponen sistem kontrol dari sistem pembangkit sampai ke beban.

Mahasiswa dapat mengungkapkan argumentasi dan mengembangkan ide desain kontroler yang digunakan pada sistem tenaga listrik.

The student can do the syntheses and evaluation of the power system control.

The student can do the description for the power system components.

The student can do the exploring arguments and develop the idea to design the controllers in the power system.

POKOK BAHASAN/

SUBJECTS

Introduksi dibahas secara singkat tentang latar belakang dan permasalahan sistem tenaga.

Matriks khusus meliputi penyelesaian matriks yang berhubungan dengan penyelesaian permasalahan rekayasa kontrol.

State space meliputi pemodelan state space dari bentuk rangkaian elektronika, pemodelan state space dari persamaan diferensial, persamaan state space dalam bentuk Kanonik Jordan, pembentukan matriks transformasi P, mengubah persamaan state state space menjadi persamaan diferensial, dan penyelesaian persamaan state space.

Kontrolabiliti, observabiliti, dan stabiliti dibahas tentang 3 syarat utama yang harus dimiliki oleh sebuah sistem sebelum dilakukan pengaturan yaitu kontrolabiliti,

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observabiliti, dan stabiliti.

Dasar-dasar kestabilan dibahas tentang dasar-dasar kestabilan sistem tenaga listrik yang meliputi dasar-dasar persamaan daya, pemodelan SMIB (Single Machine Infinite Bus), ekuilibrium, dan kestabilan kondisi mantap (steady state).

Model linear SMIB dibahas tentang pemodelan linear dari sistem tenaga listrik SMIB dalam bentuk persamaan matematika yang meliputi persamaan tegangan, persamaan torque elektrika, dan persamaan mesin sinkron.

Konstanta K1 sampai K6 dibahas tentang cara untuk menghitung konstanta K1 sampai dengan K6 melalui penguasaan phasor sistem SMIB.

Sistem kontrol eksitasi dibahas tentang jenis-jenis eksitasi, pemodelan eksitasi dalam diagram blok dan dalam pemodelan linear, dan kontribusi pemodelan eksitasi ke dalam sistem SMIB.

Power System Stabilizer menjelaskan materi PSS (Power System Stabilizer) yang bekerja sama dengan sistem eksitasi untuk menjaga kestabilan sistem tenaga listrik dan pemodelan PSS.

Load Frequency Control dibahas tentang pengaturan frekuensi yang meliputi pengaturan daya aktif, perilaku governor, dan Automatic Generation Control (AGC) pada sistem tenaga listrik. Pemodelan pengaturan frekuensi sistem tenaga dilakukan dengan pendekatan model linear.

Kontrol Daya Reaktif dibahas tentang pengaturan daya reaktif. Produksi daya reaktif yang tidak diinginkan oleh sistem dikendalikan untuk mencapai nilai minimal melalui pengaturan parameter dan variabel sistem.

Osilasi Torsional dibahas mengenai karakteristik dan pemodelan dari suatu sistem poros generator turbin dan beragam permasalahan yang terkait dengan osilasi torsional.

Multimesin dibahas tentang pengenalan sistem multimesin dengan berbagai variabel dan parameter yang terbentuk dalam rangkaian linear.

Introduction

Matrices

State Space

Controlability, stability, and observability

The Basics for Stability

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Singlemachine infinite Bus (SMIB)

SMIB Parameter

Excitation Control

Power System Stabilizer

Load Frequency Control

Reactive Power Control

Multimachine system

PUSTAKA UTAMA/MAIN

REFERENCES

Imam Robandi, Modern Power Control: Design and Solution, 2008.

P.M. Anderson and A.A. Fouad, Power System Control and Stability, The Iowa State University Press, 1977.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Prabha Kundur, Power System Stability and Control, McGraw-Hill, Inc., 1994.

M.A. Pai, Power System Stability, North-Holland Publishing Company, 1981.

K.R. Padiyar, Power System Dynamics, John Wiley & Sons Ltd, Interlaine Publishing Ltd. 1996.

Marija Ilic, et.al., Dynamics and Control of Large Electric Power Systems, John Wiley & Sons, Inc., 2000.

Agelidis et.al, Electronic Control in Electrical Power Systems (Power Engineering Series), IEEE, 2002.


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MATA KULIAH/

COURSE TITLE

TE - 093209: Kendali Daya pada Saluran Interkoneksi

TE - 093209: Power Tie Line Control

Sks /Credits: 3


LEARNING OBJECTIVES

Memberi pengayaan pada mahasiswa Strata-3 untuk melakukan evaluasi, mendiskripsikan ulang, dan mengungkapkan ide-ide lojik secara lisan dan tertulis pada aplikasi kontrol pada sistem interkoneksi tenaga listrik. To give enrichment for Ph D students in evaluation, and description to explore the idea logically on control application for tie-line power system.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat melakukan evaluasi peran kontrol pada penyelesaian permasalahan interkoneksi sistem tenaga listrik.

Mahasiswa dapat mendiskripsikan parameter dan variabel kontrol pada penyelesaian permasalahan interkoneksi sistem tenaga listrik.

Mahasiswa dapat mengungkapkan argumentasi dan mengembangkan ide desain kontrol pada penyelesaian permasalahan sistem interkoneksi tenaga listrik.

The student can evaluate of the power system control.

The student can describe the power system control.

The student can explore arguments and develop the idea to design the controllers in the power system control.

POKOK BAHASAN/

SUBJECTS

Mengungkap ulang paper-paper dari Journal International (IEE, IEEE, Elsevier Journal) yang bertopik tentang kontrol pada sistem interkoneksi tenaga listrik untuk dilakukan redesain dan dievaluasi kembali.

PUSTAKA UTAMA/MAIN

REFERENCES


Journal IEE, IEEE, dan Elsevier Journal

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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COURSE TITLE

TE - 093210: Pemodelan dan Kendali Beban

TE - 093210: Load Modeling and Control

Sks /Credits: 3


LEARNING OBJECTIVES

Memberi pengayaan pada mahasiswa Strata-3 untuk melakukan evaluasi, mendiskripsikan ulang, dan mengungkapkan ide-ide lojik secara lisan dan tertulis pada pemodelan dan pengaturan beban pada sistem tenaga listrik. To give enrichment for Ph D students in advanced evaluation, and description to explore the idea logically on load modelling and control for power system.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat melakukan evaluasi peran kontrol dan pemodelan beban pada penyelesaian permasalahan sistem tenaga listrik.

Mahasiswa dapat mendiskripsikan parameter dan variabel kontrol pada penyelesaian permasalahan beban sistem tenaga listrik.

Mahasiswa dapat mengungkapkan argumentasi dan mengembangkan ide desain kontrol pada penyelesaian permasalahan beban sistem tenaga listrik.

The student can evaluate of the power system control.

The student can describe the load modelling and control on power system control.

The student can explore arguments and develop the idea to design load modelling and control on the power system control.

POKOK BAHASAN/

SUBJECTS

Mengungkap ulang paper-paper dari Journal International (IEE, IEEE, Elsevier Journal) yang bertopik tentang pemodelan dan kontrol beban pada sistem tenaga listrik untuk dilakukan redesain dan dievaluasi kembali.

PUSTAKA UTAMA/MAIN

REFERENCES



PUSTAKA

PENUNJANG/OPTIONAL

-

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REFERENCES


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MATA KULIAH/

COURSE TITLE

TE - 093211: Optimasi Cerdas, Keandalan dan

Perencanaan

TE - 093211: Intelligent Optimization, Reliability, and

Planning

Sks /Credits: 3


LEARNING OBJECTIVES

Memberi pengayaan pada mahasiswa Strata-3 untuk melakukan evaluasi lanjut, mendiskripsikan ulang, dan mengungkapkan ide-ide lojik secara lisan dan tertulis pada Optimisasi Cerdas, Keandalan, dan Perencanaan pada sistem tenaga listrik. To give capabilities for Ph D students in advanced evaluation, and description to explore the idea logically on Intelligent Optimization, Reliability, and Planning for power system.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat melakukan evaluasi peran optimisasi, reliabiliti, dan perencenanaan pada penyelesaian permasalahan sistem tenaga listrik.

Mahasiswa dapat mendiskripsikan parameter dan variabel optimisasi, reliabiliti, dan perencenanaan pada penyelesaian permasalahan sistem tenaga listrik.

Mahasiswa dapat mengungkapkan argumentasi dan mengembangkan ide desain optimisasi, reliabiliti, dan perencenanaan pada penyelesaian permasalahan sistem tenaga listrik.

The student can evaluate Intelligent Optimization, Reliability, and Planning of the power system control.

The student can describe Intelligent Optimization, Reliability, and Planning of power system control.

The student can explore arguments and develop the idea to design Intelligent Optimization, Reliability, and Planning on the power system control.

POKOK BAHASAN/

SUBJECTS

Mengungkap ulang paper-paper dari Journal International (IEE, IEEE, Elsevier Journal) yang bertopik tentang optimisasi, reliabiliti, dan perencenanaan pada sistem tenaga listrik untuk dilakukan redesain dan dievaluasi kembali.

PUSTAKA UTAMA/MAIN Imam Robandi, Desain Sistem Tenaga Modern: Fuzzy Logic, Optimization, Genetic Algorithm, ANDI Publisher,

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REFERENCES 2006.


PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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MATA KULIAH/

COURSE TITLE

TE - 093212: Koordinasi Multikontroller

TE - 093212: Coordination of Multi Controllers

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mereview lingkup sistem peningkatan efisiensi pada sistem transmisi distribusi melalui perbaikan faktor daya, pengaturan aliran daya aktif-reaktif, menjaga kesetimbangan sistem.

Mahasiswa dapat memahami karakteristik, menganalisis, memodelkan, dan mengembangkan sistem untuk pengkondisian daya pada sistem transmisi dan distribusi.

Mahasiswa dapat memahami dan mengembangkan sistem elektronika daya untuk aplikasi pengkondisian daya listrik termasuk: pengatur kecepatan motor, Flexible AC Transmission Systems (FACTS): static VAR compensator, TCR, TCSC, Statcom, UPFC.

Students can review the field of efficiency improvement in transmission and distribution systems by increasing the power factor, controlling the active-reactive power, keeping the system balanced.

Students can understand the characteristics, analyze, model and develop the power conditioning systems for transmission and distribution.

Students are able to understand and develop power electronic based power conditioning systems including variable speed drive, FACTS devices: static VAR compensator, TCR, TCSC, Statcom, UPFC.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat menjelaskan lingkup sistem yang berbasis saklar semikonduktor.

Mahasiswa dapat mengidentifikasi, menganalisis, memodelkan, dan mengembangkan sistem yang berkaitan dengan pengkondisian daya listrik untuk sistem transmisi dan distribusi.

Mahasiswa dapat memahami dan mengembangkan sistem pengkondisian daya listrik berbasis elektronika daya yang berlandaskan kaidah atau standard terkait.


Students are able to explain power electronic based systems for transmission and distribution.

Students are able to indentify, analyze, model and

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develop systems relating with power conditioning for transmission and distribution network.

Students are able to understand and develop power conditioning systems based on power electronic and existing standards.


POKOK BAHASAN/

SUBJECTS

Overview transmission and distribution kualitas tenaga listrik: lingkup, aplikasi dan konsep dasar elektronika daya; beserta aplikasi

Flexible AC Transmission Systems (FACTS): aplikasi konverter sebagai unified power flow controller

Faktor Daya: definisi, standard, penyebab, efek, capacitor bank, multi capacitor bank

TCR, TCSC: prinsip kerja, metode kontrol, pemodelan dan simulasi,

Statcom: prinsip kerja, metode kontrol, pemodelan dan simulasi

Unified Power Flow Controller (UPFC): prinsip kerja, metode kontrol, pemodelan dan simulasi

Sistem uninterruptible power supply: konfigurasi, ups off-line, on-line dan interactive, battery bank

Sistem Variable Speed Drive (VSD): aplikasi konverter sebagai pengatur kecepatan (VSD) untuk motor dc, motor ac asinkron

Overview of transmission and distribution networks, efficiency improvement methods, power factor correction principles and control methods, power flow arrangement and control methods, variable speed drive systems principles, types and control methods

PUSTAKA UTAMA/MAIN

REFERENCES

Math HJ Bollen, Understanding power quality problems, voltage sags and interrruptions, IEEE press series in Power Engineering, 2000.

Ned Mohan, Underland, Robbins. Power Electronics converters, applications, and design, John Wiley and Sons publishing Co, second edition.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

MH. Rashid. Power Electronics, John Wiley and Son publishing Company, 2003.

PRASYARAT/PREREQUISITE Elektronika Daya Lanjut

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MATA KULIAH/

COURSE TITLE

TE – 093213 : Sistem Kendali Kualitas Tenaga Listrik

TE – 093213 : Control System of Power System Quality

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mereview lingkup kualitas tenaga listrik.

Mahasiswa dapat memahami sistem yang berbasis elektronika daya .

Mahasiswa dapat memahami karakteristik, menganalisis, memodelkan, dan mengembangkan sistem untuk pengkondisian kualitas tenaga listrik.

Mahasiswa dapat memahami dan mengembangkan sistem elektronika daya untuk aplikasi pengkondisian kualitas tenaga listrik termasuk: filter pasif, filter aktif, UPS, DVR.

Students can review the field of power quality.

Students can understand the characteristics, analyze, model and develop the power quality conditioning systems.

Students are able to understand and develop power electronic based power quality conditioning systems including filter passive, filter active, uninterruptible power supply, dynamic voltage restorer.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat menjelaskan lingkup kualitas daya listrik.

Mahasiswa dapat mengidentifikasi, menganalisis, memodelkan, dan mengembangkan sistem yang berkaitan dengan pengkondisian kualitas tenaga listrik .

Mahasiswa dapat memahami dan mengembangkan sistem pengkondisian kualitas tenaga listrik berbasis elektronika daya yang berlandaskan kaidah atau standard terkait.


Students are able to explain the field of power quality.

Students are able to indentify, analyze, model and develop systems relating with power quality conditioning.

Students are able to understand and develop power quality conditioning systems based on power electronic and existing standards.

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POKOK BAHASAN/

SUBJECTS

Overview kualitas tenaga listrik: lingkup, aplikasi dan konsep dasar elektronika daya; beserta aplikasi

Harmonisa: gelombang cacat, deret Fourier, penyebab harmonisa, efek harmonisa, standard harmonisa, konsep daya pada gelombang cacat: P, Q, pf, filter pasif

Tegangan Kedip: definisi tegangan kedip, standard, penyebab, efek

Tegangan Hilang dan pemadaman: definisi, standard, penyebab, efek,

Faktor Daya: definisi, standard, penyebab, efek, capacitor bank, multi capacitor bank

Fiter passive: single tuned, damped filter,

Filter Active: prinsip kerja, jenis-jenis, filter hybrid

Sistem uninterruptible power supply: konfigurasi, ups off-line, on-line dan interactive, battery bank

Sistem Dynamic Voltage Restorer (DVR): transformasi abc-dq,

Overview of power quality, harmonic distortion, concept

of power in a distorted condition, voltage sags, voltage

outages, voltage interruptions, passive filter, active

power filter, hybrid filter, dynamic voltage restorer,

uninterruptible power supply

PUSTAKA UTAMA/MAIN

REFERENCES

Math HJ Bollen, Understanding power quality problems, voltage sags and interrruptions, IEEE press series in Power Engineering, 2000.

Ned Mohan, Underland, Robbins. Power Electronics converters, applications, and design, John Wiley and Sons publishing Co, second edition.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

MH. Rashid. Power Electronics, John Wiley and Son publishing Company, 2003.

PRASYARAT/PREREQUISITE Elektronika Daya Lanjut

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Bidang Intelligent System

MATA KULIAH/

COURSE TITLE

TE – 093301 : Dinamika Tak Linier dan Chaotic

TE – 093301 : Non linear dynamics and Chaotic

Sks /Credits: 3


LEARNING OBJECTIVES

Able to implement the concept & structure of some dynamic & chaotic model, can solve, examines & analyse the mathematical principle chaotic that is used in their specific subject.

KOMPETENSI/

COMPETENCY

Able to develope & implement the mathematical model of nonlinearndynamic & chaotic to solve specific problems in their fields through a simulation.

POKOK BAHASAN/

SUBJECTS

overview of what chaos and nonlinear dynamics

chaotic dynamics

bifurcations

computation of global bifurcations

many routes to chaos, control of chaos

analysis and classification of low-dimensional effects

and also methods for reducing high-dimensional and

non-standard dynamical systems

PUSTAKA UTAMA/MAIN

REFERENCES

K. T. Alligood, T. D. Sauer, and J. A. Yorke, CHAOS — An Introduction to Dynamical Systems, Springer, 1996.

Yu. A. Kuznetsov, Springer, Elements of Applied

Bifurcation Theory", (2nd Ed) 1998.

Steven H. Strogatz, Nonlinear Dynamics and Chaos with Applications to Physics, Biology, Chemistry and Engineering, Perseus Books Publishing, First paperback printing, 2000.

Chaos, Solitons and Fractals, Elsevier Journal.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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MATA KULIAH/

COURSE TITLE

TE – 093302 : Machine Learning I

TE – 093302 : Machine Learning I

Sks /Credits: 3


LEARNING OBJECTIVES

Able to implement the concept & structure of some learning algorithm, can solve, examines & analyse the mathematical principle learning computation that is used in their specific subject.

KOMPETENSI/

COMPETENCY

Able to develope & implement the mathematical model of learning computation to solve specific problems in their fields through a simulation.

POKOK BAHASAN/

SUBJECTS

Overview on soft computing, Computational learning theory,

probably approximately correct (PAC) learning, Translating

decision trees into rules. Heuristic rule induction using

separate and conquer and information gain, Bayesian

network, deep belief networks, searching algorithm, greedy,

decision tree, supervised & unsupervised learning theory,

SVM & kernel, Bayesian learning.

PUSTAKA UTAMA/MAIN

REFERENCES

-

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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MATA KULIAH/

COURSE TITLE

TE – 093303 : Machine Learning II

TE – 093303 : Machine Learning II

Sks /Credits: 3


LEARNING OBJECTIVES

Able to implement the concept & structure of some learning algorithm, can solve, examines & analyse the mathematical principle learning computation that is used in their specific subject.

KOMPETENSI/

COMPETENCY

Able to develope & implement the mathematical model of learning computation to solve specific problems in their fields through a simulation.

POKOK BAHASAN/

SUBJECTS

K-means, expectation maximization, PCA and other

dimensionality reduction methods, Hidden Markov Models,

history-based representations, predictive models,

Reinforcement learning, language learning, part-of-speech

tagging, and information extraction. Conditional random

fields (CRF's). Probabilistic context-free grammars (PCFG).

Parsing and learning with PCFGs. Lexicalized PCFGs.

PUSTAKA UTAMA/MAIN

REFERENCES

C.M Bishop, Pattern Recognition & Machine Learning,

Springer, 2006.

T.Hasti, R Tibshirani & J Friedman, The Elements of

Statistical Learning 2nd

edition, Springer, 2009.

Neural Networks, INNS Journal.

Transc on Neural Networks, Fuzzy Logic, Evolutionary Algorithm, System Man & Cybernetic (part A,B and C), IEEE Journal.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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Bidang Multimedia Communication

MATA KULIAH/

COURSE TITLE

TE – 093401 : Deteksi dan Estimasi

TE – 093401 : Detection and Estimation

Sks /Credits: 3


LEARNING OBJECTIVES

Mempelajari berbagai teknik deteksi dan estimasi yang optimal untuk pengolahan sinyal statistik. To study various optimal detection and estimation techniques in statistical signal processing.

KOMPETENSI/

COMPETENCY

Mahasiswa diharapkan mampu:

Memformulasikan permasalahan deteksi dalam konteks uji hipotesa statistik biner atau M-ary dengan berbagai pendekatan.

Memformulasikan permasalahan estimasi parameter suatu sinyal secara statistik, baik yang deterministik (tak acak) atau acak dengan berbagai pendekatan.

Menganalisa unjuk kerja berbagai teknik deteksi dan estimasi.

The students are expected to able:

To formulate statistically detection problems through binary or M-ary hypothesis testing using various approach.

To formulate statistically parameter (deterministic or random)) estimation problem with various approach.

To analyze performance of various detection and estimation techniques.

POKOK BAHASAN/

SUBJECTS

Uji hipotesa biner dan M-ary: uji Bayesian, statistik cukup, karakteristik operasi penerima, uji Neyman-Pearson, uji hipotes minimax

Uji dengan pengamatan berulang: unjuk kerja asimtotik dari LRT, uji hipotesa Bayesian berurut

Teori estimasi parameter: estimasi Bayesian, estimasi kuadrat terkecil linier, estimasi parameter bukan acak, estimasi ML, batas bawah Cramér-Rao, estimator MVUE

Uji hipotesa komposit

Deteksi kokoh

Deteksi sinyal yang diketahui pada derau Gaussian

Deteksi sinyal dengan parameter yang tak diketahui

Deteksi dan estimasi terdistribusi

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Binary and M-ary hypothesis testing: Bayesian binary hypothesis testing, sufficient statistics, receiving operating characteristics, Neyman-Pearson test, minimax hypothesis testing

Tests with repeated observations: asymptotic performance of LRT, Bayesian sequential hypothesis testing

Parameter estimation theory: Bayesian estimation, linear least-squares estimation, estimation of non random parameters, maximum likelihood (ML) estimation, Cramér-Rao lower bound, minimum variance unbiased estimators (MVUE)

Composite hypothesis testing: uniformly most powerful tests, invariant test, generalized LRT

Robust detection: measures of model proximity, robust hypothesis testing, asymptotic robustness

Detection on known signals in Gaussian noise: binary detection of known signals in white and colored Gaussian noise, noise whitening receiver

Detection of signals with unknown parameters: detection of signals with unknown phase, detection of signals with unknown amplitude

Distributed estimation and detection

PUSTAKA UTAMA/MAIN

REFERENCES

Bernard C. Levy, Principles of Signal Detection and Parameter Estimation, Springer, 2008.

Steven Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, 1998.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Todd K. Moon & Wynn C. Stirling, Mathematical Methods and Algorithms for Signal Processing, Prentice Hall, 1999.

Artikel-artikel dari jurnal ilmiah: IEEE Transaction on Signal Processing IEEE Transaction on Communications


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MATA KULIAH/

COURSE TITLE

TE – 093402 : Sistem Komunikasi Digital Lanjut

TE – 093402 : Advanced Digital Communication System

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami teori dan teknik komunikasi digital melalui kanal dengan pita frekuensi terbatas.

Mahasiswa memahami teori dan teknik komunikasi digital melalui kanal yang berubah terhadap waktu.

Mahasiswa memahami teori dan teknik komunikasi digital pada jaringan dengan pengguna jamak.

Student comprehends theories and techniques of digital communication through band-limited channels.

Student comprehends theories and techniques of digital communication through time-varying channels.

Student comprehends theories and techniques of digital communication in multi-user environment.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu mendesain dan menganalisis kinerja sistem komunikasi digital pada kanal dengan pita frekuensi terbatas.

Mahasiswa mampu mendesain dan menganalisis kinerja sistem komunikasi digital pada kanal yang berubah terhadap waktu.

Mahasiswa mampu mendesain dan menganalisis kinerja sistem komunikasi digital pada jaringan dengan pengguna jamak.

Mahasiswa mampu melakukan critical review terhadap permasalahan komunikasi digital nirkabel dan bergerak dengan pengguna jamak.

Student is skilled in designing and analyzing digital communication systems through band-limited channels.

Student is skilled in designing and analyzing digital communication systems through time-varying channels.

Student is skilled in designing and analyzing digital communication systems in multi-user environment.

Student is skilled in writing a critical review of problems in wireless and mobile communication systems with multiple users.

POKOK BAHASAN/

SUBJECTS

Review sistem komunikasi digital melalui kanal AWGN.

Pemodelan kanal pita terbatas, pembentukan pulsa anti ISI, MLSE dan Algoritma Viterbi, ekualisasi.

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Pemodelan kanal fading, kinerja BER pada kanal fading, teknik diversity, penerima Rake, spread spectrum, ekualisasi adaptif, modulasi adaptif.

Interferensi pada komunikasi dengan pengguna jamak, pemodelan interferensi, teknik akses jamak, deteksi pengguna jamak.

Review of digital communications through AWGN channels.

Modelling of band-limited channels, anti-ISI pulse shaping, MLSE and Viterbi Algorithm, equalization.

Modelling of fading channels, BER performance in fading channels, diversity techniques, Rake receivers, spread spectrum, adaptive equalization, adaptive modulation.

Interference in multi-user communications, modelling of interference, multiple access schemes, multi-user detection.

PUSTAKA UTAMA/MAIN

REFERENCES

J. G. Proakis and M Salehi, Digital Communications, 5th ed., McGraw-Hill, 2008.

D. Tse and P. Viswanath, Fundamentals of Wireless Communications, Cambridge, 2005.

A. Goldsmith, Wireless Communications, Cambridge, 2005.

S. Haykin and M. Moher, Modern Wireless Communications, Pearson, 2005.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

IEEE journals and magazines.

PRASYARAT/PREREQUISITE

Mahasiswa memahami teori dan teknik komunikasi digital melalui kanal dengan pita frekuensi terbatas.

Mahasiswa memahami teori dan teknik komunikasi digital melalui kanal yang berubah terhadap waktu.

Mahasiswa memahami teori dan teknik komunikasi digital pada jaringan dengan pengguna jamak.

Student comprehends theories and techniques of digital communication through band-limited channels.

Student comprehends theories and techniques of digital communication through time-varying channels.

Student comprehends theories and techniques of digital communication in multi-user environment.

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MATA KULIAH/

COURSE TITLE

TE – 093403 : Pengolahan Sinyal Multimedia Lanjut

TE – 093403 : Advanced Multimedia Signal Processing

Sks /Credits: 3


LEARNING OBJECTIVES

Untuk mempelajari secara mendalam berbagai permasalahan mutakhir dalam pengolahan dan komunikasi sinyal multimedia, serta teknik-teknik berkaitan yang diusulkan. To study in depth recent problems in multimedia signal processing and communication and corresponding proposed techniques.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu memahami permasalahan mutakhir dalam pengolahan dan komunikasi sinyal multimedia, serta mampu menganalisa implementasi dan unjuk kerja teknik-teknik yang diusulkan. The students are able to understand recent technical problems in mltimedia signal processing and communications, and are also able to analyze the implementation and performance of the proposed solutions.

POKOK BAHASAN/

SUBJECTS

Topik bahasan disesuaikan dengan perkembangan, sebagai contoh:

Konversi media dan transcoding

Presentasi content pada sistem multimedia

Lingkungan multimodal dan multimedia

Analisa dan sintesa content multimedia

Teknik-teknik pengkodean dan transmisi yang tahan kesalahan

Pengkodean video scalable

Keamanan pada pengkodean dan pengiriman multimedia

Addressed topics vary from year to year and concern recent development, such as:

Media conversion and transcoding

Content presentation in multimedia system

Multimodal and multimedia environment

Multimedia content analysis and synthesis

Error resilient coding and transmission techniques

Scalable video coding

Security in multimedia coding and transmission

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PUSTAKA UTAMA/MAIN

REFERENCES

Ahmet Kondoz, ed., Visual Media: Coding and Transmission, Wiley, 2009.

Al Bovik, ed., The Essential Guide to Video Processing, Academic Press, 2009.

Hamid Aghajan & Andrea Cavallaro, Multi-Camera Networks: Principles and Applications, Academic Press, 2009.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Artikel-artikel dari jurnal ilmiah: IEEE Transaction on Multimedia IEEE Transaction on Image Processing

PRASYARAT/PREREQUISITE Pengolahan Sinyal Multimedia Multimedia Signal Processing

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MATA KULIAH/

COURSE TITLE

TE – 093404 : Optimisasi untuk Sistem Komunikasi

TE – 093404 : Optimization for Communication System

Sks /Credits: 3


LEARNING OBJECTIVES

Mempelajari berbagai teknik optimisasi, terutama untuk penerapan pada system dan jaringan komunikasi. To study various optimization techniques, notably for application in communication system and network.

KOMPETENSI/

COMPETENCY

Mahasiswa diharapkan mampu:

Memahami sifat-sifat himpunan konveks dan fungsi konveks beserta formulasinya

Menyelesaikan permasalahan optimisasi dengan menerapkan teknik-teknik optimisasi konveks

Mengimplementasikan berbagai algoritma untuk optimisasi konveks dan menganalisa unjuk kerja masing-masing algoritma

The students are expected to be able:

To understand the characteristics of convex sets and funtions, and their formulations

To solve various optimizations problems by using convex optimization techniques

Implement various algorithms for convex optimization and analyze their performance

POKOK BAHASAN/

SUBJECTS

Himpunan-himpunan konveks

Fungsi-fungsi konveks

Permasalahan optimisasi konveks

Dualitas

Pendekatan dan fitting

Permasalahan geometrik: proyeksi

Minimisasi tanpa kendala

Minimisasi dengan kendala kesamaan

Diskusi dan simulasi dari berbagai permasalahan

optimisasi dalam sistem dan jaringan komunikasi

Convex sets

Convex functions

Convex optimization problems

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Duality

Approximation and fitting

Geometric problems

Unconstrained minimization

Equality constrained minimization

Discussion and simulation of various topics of optimization in communication systems & networks

PUSTAKA UTAMA/MAIN

REFERENCES

Stephen Boyd & Lieven Vandenberghe, Convex

Optimization, Cambridge University Press, 2004.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Artikel-artikel dari jurnal ilmiah: IEEE Transaction on Signal Processing IEEE Transaction on Communications IEEE J. on Selected Areas in Communications


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Bidang Applied Electronics

MATA KULIAH/

COURSE TITLE

TE – 093501 : Rancangan Sistem Elektronika

TE – 093501 : Electronics System Design

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mampu memahami dan menganalisa suatu

rangkaian atau sistim elektronika baik analog maupun

digital.

Students are able to understand and analyze the system of

electronic circuits including analog and digital circuits.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menganalisa dan merencanakan rangkaian analog dan digital.

Mahasiswa terampil melakukan eksperimen pada rangkaian terprogram.

Students are able to analyze and design analog and digital circuits.

Students are able to conduct the experiments on programmable device.

POKOK BAHASAN/

SUBJECTS

Analisa dan sintesa rangkaian dasar transistor, analisa dan

sintesa rangkaian Op-Amp, sintesa rangkaian Analog to

Digital Converter dan Digital to Analog Converter, sintesa

rangkaian pada Field Programmable Analog Array (FPAA)

dan sintesa rangkaian pada Field Programmable Gate Array

(FPGA)

PUSTAKA UTAMA/MAIN

REFERENCES

Robert Boylestad and Louis Nashelsky, Electronic Devices and Circuit Theory, Prentice-Hall, 2006.

Programmable Logic Design, Xilinx, 2006.

Kevin Shahill, VHDL for Programmable Logic, Addison Wesley, 1996.

Artikel terpilih dari proseding dan jurnal divais dan rangkaian elektronika.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Xilinx Synthesis Technology (XST) User Guide, Xilinx, 2000 .

AN10E40 Field Programmable Analog Array, Anadigm, 2000.

Tony R Kuphaldt, Lessons in Electric Circuits, 2007.


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MATA KULIAH/

COURSE TITLE

TE – 093502 : Elektronika Industri Lanjut

TE – 093502 : Advanced Industrial Electronics

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami kemajuan terkini dalam bidang

rekayasa elektronika industri.

Students are able to understand the latest progress in the

field of industrial electronic engineering.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menganalisa dan merancang rekayasa

elektronika di bidang industri.

Students are able to analyze and design the implementation of electrical engineering in the industrial fields.

POKOK BAHASAN/

SUBJECTS

Rekayasa smart sensor dan aktuator yang digunakan di

industri, sistim kontrol cerdas, robotic & vision, drive

control, telemetri dan power electronics.

Smart sensors and actuators technology used in the industrial fields, intelligent control systems, Robotic & vision, drive control, telemetry and power electronics.

PUSTAKA UTAMA/MAIN

REFERENCES

Artikel terpilih dari proseding dan jurnal: IEEE Transactions

on Industrial Electronics, Sensors & Actuators, Robotic &

Autonomous System, European Symposium on Artificial

Neural Networks, Journal on Applied Signal Processing,

Science Direct dan lainnya.

Selected articles from journals and proceedings: IEEE transactions on Industrial Electronics, Sensors & Actuators, Robotic & Autonomous Systems, European Symposium on Artificial Neural Networks, Journal on Applied Signal Processing, Science Direct and others.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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MATA KULIAH/

COURSE TITLE

TE – 093503 : Robotika dan Kecerdasan Buatan

TE – 093503 : Robotics and AI

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mampu memahami sistem robotika dan

kecerdasan buatan.

Giving knowledge to the students in order to understand the

robotics and AI (Artificial Intelligent) system.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menganalisa sistem robotika dan kecerdasan buatan.

Mahasiswa mampu merancang sistem robotika dan kecerdasan buatan.

Students are able to analyze the robotics and AI (Artificial Intelligent) system.

Students are able to design the robotics and AI (Artificial Intelligent) system.

POKOK BAHASAN/

SUBJECTS

From Tele-operation To Autonomy

The Hierarchical Paradigm

Biological Foundations of the Reactive Paradigm

The Reactive Paradigm; Designing a Reactive

Implementation

Common Sensing Techniques for Reactive Robots

The Hybrid Deliberative/Reactive Paradigm; Multi-

agents

Topological Path Planning; Metric Path Planning

Localization and Map Making.

PUSTAKA UTAMA/MAIN

REFERENCES

Robin R. Murphy, Introduction to AI Robotics, MIT Press, 2000.

Gerhard Weiss, Multi-Agent Systems: A Modern Approach to Distributed Modern Approach to Artificial Intelligence, MIT Press, 1999.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

IEEE Transactions on Robotics and Automation


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Bidang Biomedical Engineering

MATA KULIAH/

COURSE TITLE

TE – 093601 : Teknologi Biomedika Lanjut

TE – 093601 : Advanced Biomedical Technology

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami perkembangan teknologi terkini

bidang-bidang disiplin teknologi biomedika.

To have an understanding of recent development of

technologies for biomedical fields.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menelaah perkembangan teknologi terkini dalam bidang biomedika.

Mahasiswa mampu mencari permasalahan ilmiah yang penting dalam bidang teknologi biomedika dan terampil mencari solusinya melalui rancangan riset.

To have a skill for assessing recent technologies for biomedical fields.

To have a skill for finding a significant scientific problem in the field of biomedical engineering, and for finding a solution by means of a research plan.

POKOK BAHASAN/

SUBJECTS

Advanced biomedical instrumentation

biomedical imaging techniques

biological neural system analysis and modeling

genetic and tissue engineering

physiological modeling and control

recovery alternative and emerging biomedical

technologies

medical informatics

selected advanced topics form journal papers.

PUSTAKA UTAMA/MAIN

REFERENCES

J Bronzino (Ed), Biomedical Engineering Handbook, IEEE Press.

RB Northrop, Introduction to Dynamic Modeling of Neuro-sensory Systems, CRC Press, 2001.

IEEE Trans Biomedical Engineering.

J Moore and G Zouridakis, Biomedical Technology and Devices Handbook, CRC Press, 2004.

J Tan (Ed), E-Health Care Information System, Jossey-Bass, 2005.

PUSTAKA Artikel terpilih dari jurnal-jurnal biomechanics, applied

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REFERENCES

physiogy, dll.

Selected articles from journals: biomechanics, applied physiology, etc.


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MATA KULIAH/

COURSE TITLE

TE – 093602 : Teknik Klinika

TE – 093602 : Clinical Engineering

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami integrasi disiplin engineering dan

biomedicine dalam aplikasi klinis untuk perawatan

kesehatan.

To have an understanding of integration of engineering

discipline and biomedicine discipline in clinical engineering

for pasien healthcare.

KOMPETENSI/

COMPETENCY

Mahasiswa memahami manajemen teknologi untuk pasien healthcare system.

Mahasiswa memahami aplikasi teknologi informasi dalam pelayanan klinis di lapangan.

Mahasiswa memahami etika clinical engineer

To have an understanding of management technology for healthcare system.

To have and understanding of application of information technology in clinical services.

To have an understanding of ethics of clinical engineer

POKOK BAHASAN/

SUBJECTS

Clinical engineering disciplines, scopes, ethics; Healthcare

technologies management program, Healthcare

technologies for lifelong disease management system;

Multihospital healthcare technology management system;

Medical information technology convergence: impact on

clinical engineering.

PUSTAKA UTAMA/MAIN

REFERENCES

Handbook of BME, IEEE Trans IT for BME, Ann of BME, IEEE

Trans BME.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

IEEE EMBS Magazine.


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MATA KULIAH/

COURSE TITLE

TE – 093603 : Analisa dan Pemodelan Sinyal Biologis

TE – 093603 : Biological Signal Analysis and Modeling

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami teknik pemrosesan dan pemodelan

sinyal biologi dan mampu menerapkan sistem pemrosesan

sinyal lanjut dalam praktek.

To have an understanding of processing and modeling

techniques of biological signals and to have a skill for

applying the processing system practically.

KOMPETENSI/

COMPETENCY

Mahasiswa memahami dan mampu menelaah permasalahan pemerosesan sinyal biologis.

Mahasiswa mampu memanfaatkan matematical tool dan pendekatan eksperimental untuk melakukan pemodelan sinyal untuk kepentingan disain sistem pemrosesan sinyal biologis dan pemahaman sistem fisiologis tertentu.

To have a skill for assessing problems in biological signal processing.

To have a skill to use mathematical tools and experimental approach for modeling biological signals with purposes of processing system design, and understanding of a certain physiological system.

POKOK BAHASAN/

SUBJECTS

Phisioligical basis of biological signal

Biological signals: origin, generation, and evaluation

Stationary-nonstationary signals analysis

Time-domain analyisis and modeling of biological signal

Time-frequency analysis

Advanced nonlinear biosignal analysis and modeling

Selected topics from journal papers

PUSTAKA UTAMA/MAIN

REFERENCES

J Bronzino (Ed), Biomedical Engineering Handbook, IEEE Press, 1998.

Metin Akay (Ed), Biomedical Signal Detection, IEEE Press.

JL Semlow, Biosignal and Biomedical Image Processing, Marcell Dekker Inc., 2004.

Metin Akay (Ed), Nonlinear Biomedical Signal Processing, Vol. I & II, IEE Press, 2000.

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PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Artikel terpilih dari jurnal-jurnal IEEE Trans BME, IEEE Trans Neural Networks, IEEE Trans Signal Processing, applied physiogy, dll. Selected articles from: IEE Trans BME, IEEE Trans Neural Networks, IEEE Trans Signal Processing, applied physiology, etc.


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MATA KULIAH/

COURSE TITLE

TE – 093604 : Rekayasa Rehabilitasi

TE – 093604 : Rehabilitation Engineering

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami perencanaan sistem, dan teknik-

teknik dalam rekaysa rehabilitasi.

To have an understanding of system design and techniques

in rehabilitation engineering.

KOMPETENSI/

COMPETENCY

Mahasiswa memamhi konsep rekayasa rehabilitasi yang meliputi rehabitasi sistem sensoris, motoris, dan gangguan komunikasi.

Mahasiswa memahami teknik-teknik yang diguanakan dalam rekayasa rehabilitasi.

To have an understanding of concepts of rehabilitation engineering involves of sensor system, motor system and communication disorder rehabilitation.

To have an understanding of techniques that utilized in rehabilitation engineering.

POKOK BAHASAN/

SUBJECTS

Concepts of rehabilitation

Rehabilitation as a science and technology

Sensory rehabilitation

Motor rehabilaltion

Communication disorder rehabilitation

Appropriate rehabilitation technology

Orthopedic prosthesis and orthotics in rehabilitation

Wheeled mobility system

External powered and controlled orthotics and

prosthetics, assesments of selected topics from journal

papers.

PUSTAKA UTAMA/MAIN

REFERENCES


Mark L Latash, Neurophysiological basis of movement, Human Kinetics, USA, 1998.

Roger M Enoka, Neuromechanics of human movement, Human Kinetics, USA, 3rd Ed, 2002.

IEEE Trans Neural System and Rehabilitation Engineering.

PUSTAKA Artikel terpilih dari jurnal-jurnal IEEE Trans BME,

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REFERENCES

biomechanics, applied physiogy, dll. Selected journal articles from IEEE Trans BME, biomechanics, applied physiology, etc.


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MATA KULIAH/

COURSE TITLE

TE – 093605 : Biomekanika Gerakan Manusia

TE – 093605 : Biomechanics of Human Movements

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mampu mengembagkam sistem analisa

biomekanika gerakan manusia.

To have a skill of development of a human movement

analysis system.

KOMPETENSI/

COMPETENCY

Mahasiswa memahami aspek fisiologis dan biomekanika gerakan manusia.

Mahamiswa mampu memanfaatkan mathematical tool untuk analisa gerakan manusia.

Mampu mengemabnagkan sistem analisa performansi geralan manusia.

To have an understanding of physiological and biomechanical aspects of human movements.

To have a skill to use mathematical tool for human movement analysis.

To have a skill for development of a system for human performance analysis.

POKOK BAHASAN/

SUBJECTS

Skeletal muscle, muscle contraction and control, memory,

adaptation, force-motion relation, motor system,

adaptability of motor system, gait measurement, gait

analysis: normal and pathological, selected topics.

PUSTAKA UTAMA/MAIN

REFERENCES

Mark L Latash, Neurophysiological basis of movement, Human Kinetics, USA, 1998.

Roger M Enoka, Neuromechanics of human movement, Human Kinetics, USA, 3rd Ed, 2002.

Journal Biomechanics.

Journal Applied Phisiology.

Journal Gait and Posture.

J Perry, Gait Analysis, Slack, 1992.

M W Whittle, Gait Analysis: an introduction, Butterwoth-Heinemann, 2002.

M D Gabiner (Ed), Current issues in biomechanics, Human Kinetics Publisher, 1993.

PUSTAKA

PENUNJANG/OPTIONAL

Artikel terpilih dari jurnal-jurnal biomechanics, applied physiogy, dll. Selected journal articles from IEEE Trans BME.

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REFERENCES


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MATA KULIAH/

COURSE TITLE

TE – 093606 : Sistem Cerdas dalam Rekayasa Biomedika

TE – 093606 : Intelligent System in Biomedical

Engineering

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami dan terampil mengembangkan

sistem cerdas dalam aplikasi bidang rekayasa biomedika.

To have an understanding of conceptual ascepts of utilizing

intelligent system in bme, and to have a skill in development

an intelligent system for biomedical engineering

applications.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu memanfaatkan mathematical tool untuk pre-processing dari suatu permasalahan rekayasa biomedika yang akan diselesasikan dengan sistem cerdas.

Mahasiswa memamhi konsep, rancangan, dan realisasi sistem cerdas (ANN, Fuzzy system, Genetic Computing) untuk aplikasi pada permasalahan rekayasa biomedika.

To have a skill of using mathematical tool for pre-processing of a certain probelm in BME solved using an intelligent system approach.

To have an understanding of concepts, design, and a skill for realization of intelligent (ANN, Fuzzy system, and Genetic Computing) for BME.

POKOK BAHASAN/

SUBJECTS

Review of intelligent system: concepts and computational

system realization, cerdas (ANN, Fuzzy system, Genetic

Computing), intelligent biosignal and bioimage analysis,

intellignet control for biomedical system, intelligent system

for human performance analysis, selected topics.

PUSTAKA UTAMA/MAIN

REFERENCES


IEEETrans Biomedical Engineering.

IEEE Trans Neural System and Rehabilitation Engineering.

IEEE Trans Neural Networks.

Metin Akay (Ed), Nonlinear Biomedical Signal Processing, Vol. I & II, IEE Press, 2000.

Fredric M Hum, Ivica Kostanic, Principles of neurocomputing for science & engineering, McGraw-

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Hill Inc., 2001

JSR Jang, CT Tsun, E. Mizutani, Neuro-fuzzy and soft computing, Prentice Hall Inc., 1997.

NK Bose and P. Liang, Neural network fundamental, McGraw Hill, 1996.

David B Fogel, Evolutionary Computation, IEEE Press.

Hua Li, M Gupta (Eds), Fuzzy logic and intelligent systems, Kluwer AcPress, 1995.

R Begg, et. al., Neural Networks in Health Care, IDEA Group Publishing, 2006.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Artikel terpilih dari jurnal-jurnal biomechanics, applied physiogy, dll. selected journal articles from biomechanics, applied

physiology, etc.


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MATA KULIAH/

COURSE TITLE

TE – 093607 : Topik Khusus BME Lanjut

TE – 093607 : Selected Topic on Advanced Biomedical

Engineering

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami kemajuan terkini riest dan teknologi

lanjut pada bidang biomedika.

To have an understanding in current progress of advanced

researches and application of technologies in biomemdical

engineering fields.

KOMPETENSI/

COMPETENCY

Mahasiswa memahami kemajuan terkini aplikasi teknologi

lanjut bidang biomedika yang meliputi advanced biomedical

signal processing, advanced soft computing techniques for

BME application, advanced technolgy for medical

rehabilitation, advanced biomedical imaging.

To have an understanding of current progress of advanced

technology for biomedical fields, inculing advanced signal

processing techniques for detection and diagnosis

application in patient healtcare system, advanced soft

computing techniques for BME application, advanced

technolgy for medical therapy, rehabilitation, prosthetic and

artificial organs, and advanced biomedical imaging.

POKOK BAHASAN/

SUBJECTS

Disesuaikan dengan topik yang dikeluarkan dan referensi

yang dipilih.

Selected topics in current progress of advanced biomedical

engineering fields

PUSTAKA UTAMA/MAIN

REFERENCES

Artikel terpilih dari jurnal-jurnal Ann of BME, IEEE Trans

BME, IEEE Trans Rehabl Eng, IEEE Trans IT for BME, dan lain-

lain.

Selected scientific articles from Ann of BME, IEEE Trans BME,

IEEE Trans Rehabl Eng, IEEE Trans IT for BME, etc.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Artikel terpilih dari jurnal-jurnal biomechanics, applied physiogy, IEEE EMBS Magazine. Selected scientific articles from biomechanics, applied physiogy, IEEE EMBS Magazine

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Bidang Control Engineering

MATA KULIAH/

COURSE TITLE

TE – 093702 : Sistem Pengaturan Aljabar dan Geometri

TE – 093702 : Geometric and Algebraic Control

Systems

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mampu menganalisis sistem pengaturan dengan

pendekatan geometri dan aljabar

Students are able to use geometric and algebraic

approaches to analyse control systems.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menggunakan pendekatan geometri dalam menganalisa dan merancang sistem pengaturan.

Mahasiswa mampu menggunakan pendekatan aljabar dalam menganalisa dan merancang sistem pengaturan.

Mahasiswa mampu memahami kesamaan kedua pendekatan tersebut.

Students are able to use geometric approach to analyze and synthesize a control system.

Students are able to use algebraic approach to analyzeand synthesize a control system.

Students are able to understand the similarity between the two approaches.

POKOK BAHASAN/

SUBJECTS

Pemahaman sistem aljabar dan geometri dalam sistem pengaturan.

Pendekatan geometri untuk analisa sistem pengaturan.

Pendekatan geometri untuk sintesis sistem pengaturan.

Pendekatan aljabar dalam sistem pengaturan.

Sistem Pengaturan Robust dalam perspective geometri dan aljabar.

Understanding algebraic and geometric systems concept in control systems.

Using geometric approach in control system analysis.

Using geometric approach in control system synthesis.

Algebraic approach in control systems.

Robust controllers in goemetri and algebra perspectives.

Communication systems for process control.

PUSTAKA UTAMA/ MAIN V. Jurdjevic, Geometric Control Theory, Cambridge

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REFERENCES University Press, London, 1997.

G. Basile and G. Marco, Controlled and Conditioned Invariants in Linear Control Systems, eBook, 1992.

R.F. Skelton, et al. A Unified Algebraic Approach to Linear Control System, Taylor and Francis, 1998.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-

PRASYARAT/PREREQUISITE - Linear Systems Theory

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MATA KULIAH/

COURSE TITLE

TE – 093703: Identifikasi Sistem dan Penapisan Optimal

TE – 093703 : Systems Identification and Optimal

filtering

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mampu mengidentifikasi persamaan sistem dan

merancang tapis optimal.

Students are able to identify systems equations and design

an optimal filter.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu mengidentifikasi persamaan sistem.

Mahasiswa mampu menentukan kebutuhan tapis.

Mahasiswa mampu merancang tapis yang optimal untuk suatu aplikasi.

Students are able to identify systems equations.

Student are able to define filter requirements.

Students are able to design an optimal filter for a certain application.

POKOK BAHASAN/

SUBJECTS

Vektor acak

Sistem Linear dengan input acak

Teknik identifikasi sistem

Teknik Penapisan

Optimasi Penapisan

Random vectors

Linear system with random inputs

Systems identification techniques

Filtering techniques

Optimum filter design

PUSTAKA UTAMA/MAIN

REFERENCES

D.G. Manolakis, et al. Statistical and Adaptive Signal Processing, McGraw Hill, Singapore, 2005.

BDO Anderson et al, Optimum Filtering, Prentice Hall, New jersey, 2000.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-

PRASYARAT/PREREQUISITE Stochastic Processes, Control signal Processing

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MATA KULIAH/

COURSE TITLE

TE – 093704: Esensi Ruang Vektor dan Aplikasinya

TE – 093704 : Essential of Vector Space and Its

Application

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mampu menganalisis sifat-sifat dari model sistem dinamik linier time invariant, model state space linear. Students could analysis the characteristic of linear, time-invariant models of dynamical systems, the state-space linear model.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menjelaskan dan memahami pemodelan sistem linear dalam bentuk state space.

Mahasiswa dapat memahami aplikasi dari aljabar linear dan persamaan diferensial.

Students could understand, explain and analysis linear system modeling in the state space representation.

Students can implement the application of linear algebra and differential equation.

POKOK BAHASAN/

SUBJECTS

Paparan tentang model linear dalam bentuk state space

Sifat-sifat sistem dan modelnya

Penyelesaian persamaan state-space diskrit

Penyelesaian persamaan state-space kontinu

Metode transformasi model kontinu

Metode transformasi model diskrit

Penulisan persamaan state space

Matrik atas Lapangan

Ruang Vektor

Transformasi Similar

Kestabilan

Minimalisasi dengan transformasi similar

Pole dan Zero

Description of linear model in the state space representation

System Characteristic and Modeling

Discrete State Space Equation Solution

Continue State Space Equation Solution

Continue Model Transformation Method

Discrete Model Transformation Method

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State Space Equation Representation

Matrix Over Field

Vector Space

Similar Transformation

Stability

Minimization by Similar Transformation

Pole and Zero

PUSTAKA UTAMA/MAIN

REFERENCES

J Dwight Aplevich, The Essential of Linear State-Spacer Systems, John wiley and Sons, Inc, 1999.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

C.T. Chen,Introduction To Linear System Theory, Holt, Rinehart and Winston, Inc., 1970.


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MATA KULIAH/

COURSE TITLE

TE – 093705 : Sistem Pengaturan Berjaringan

TE – 093705 : Networked Control Systems

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mampu menganalisa sistem pengaturan

berjaringan dan mampu mendisain kontroler untuk sistem

pengaturan berjaringan.

Students are able to analyze and design a suitable

networked control systemsfor a certain application.

KOMPETENSI/

COMPETENCY

Mahasiswa mengenali kebutuhan sistem pengaturan berjaringan dan komponen-komponen yang diperlukan beserta cara kerjanya.

Mahasiswa mampu menganalisa sistem pengaturan berjaringan.

Mahasiswa mampu mendisain sistem pengaturan berjaringan.

Students recognize the requirements for networked control systems and components that are required to construct the system and their functions.

Students are able to analyze a networked control system.

Students are able to design a networked control systems.

POKOK BAHASAN/

SUBJECTS

Pengertian pengaturan terdesentralisasi dan pengaturan berjaringan

Model jaringtan dan teori graph

Elemen-elemen sistem pengaturan berjaringan dan fungsinya

Persamaan konsensus dan pengaturan formasi

Kestabilan sistem pengaturan berjaringan

Networked and decentralized control

Network model and graph theory

Elements of networked control systems and their functions

Consensus equation and Formation control

Stability of networked control systems

PUSTAKA UTAMA/MAIN

REFERENCES

Fei-Yu Wang and Derong Liu, Networked Control Systems, Theory and Applications, Springer, London, 2008

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D.H. Varsakelis and W.S. Levine, Handbook of Networked and Embedded Control Systems, Birkhauser, Boston, 2005.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-

PRASYARAT/PREREQUISITE Real Time Control Systems, Linear Control Systems

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MATA KULIAH/

COURSE TITLE

TE – 093706 : Optimisasi Matematika dalam Sistem

Pengaturan Cerdas

TE – 093706 : Mathematical Optimization in

Intelligent Control Systems

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mampu menggunakan pendekatan optimisasi

matematika dalam menganalisa dan merancang sistem

pengaturan cerdas.

KOMPETENSI/

COMPETENCY

Mahasiswa memahami permasalahan sistem pengaturan cerdas yang membutuhkan optimisasi dan memodelkannya

Mahasiswa memahami teknik-teknik optimisasi matematika dalam pengaturan cerdas

Mahasiswa mampu mengunakan teknik optimasi dalam merancang sistem pengaturan cerdas

Students are able to understand problems in intellgent control systems that needs mathematical optimization techniques and its modelling

Students are able to understand mathematical optimization techniques in intellegent control systems

Students are able to use optimization techniques in intellegent control systems design

POKOK BAHASAN/

SUBJECTS

Pendekatan vektor state dalam permodelan sistem cerdas

Permodelan matematika optimisasi untuk penentuan parameter sistem cerdas

Beberapa teknik penyelesaian permasalah optimisasi

Pemanfaatan teknik optimasi dalam panalaan parameter sistem pengaturan cerdas

Perancangan sistem pengaturan cerdas dengan optimisasi parameter

Vector state approach in intelligent systems modelling

Mathematical optimization modeling for determining intelligent systems parameters

Techniques for solving optimization problems

Using optimization techniques in parameters tuning

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Optimization parameter in Intelligent control systems design

PUSTAKA UTAMA/ MAIN

REFERENCES

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

-


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Bidang Computer Engineering

MATA KULIAH/

COURSE TITLE

TE – 093801: Arsitektur Komputer Lanjut

TE – 093801 : Advanced Computer Architecture

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa mengetahui dan bisa menjelaskan filosofi desain

arsitektur processor dan mulai dari konsep processor umum

sampai ke processor khusus seperti processor multimedia.

Provide the knowledge of the introduction and background

of the philosophy of advance computer architectures. These

include the architecture design of a processors for common

processor or multimedia processordesain arsitektur

processor dan mulai dari konsep processor umum sampai ke

processor khusus seperti processor multimedia.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menjelaskan konsep lanjut desain arsitektur komputer yang umum maupun khusus.

Mahasiswa mampu melakukan simulasi dari aplikasi processor di atas.

Student would understand the advance concepts of computer architectures for common or multimedia processors.

Student could simulates some applications for common and multimedia processors using FPGA board .

POKOK BAHASAN/

SUBJECTS

Konsep arsitektur processor umum

Konsep arsitektur processor multimedia

FPGA multimedia

Compiler multimedia

Firmware multimedia processor

Concepts of common processors architectures

Concepts of multimedia processors architectures

FPGA multimedia

Compiler multimedia

Firmware multimedia processor

PUSTAKA UTAMA/MAIN

REFERENCES

Computer Architecture: A Quantitative Approach, 4th Edition by John L. Hennessy and David A. Patterson Sep 27, 2006).

Computer Organization and Design, Fourth Edition,

http://www.amazon.com/Computer-Architecture-Quantitative-Approach-4th/dp/0123704901/ref=sr_1_1?ie=UTF8&s=books&qid=1257202717&sr=1-1

http://www.amazon.com/Computer-Architecture-Quantitative-Approach-4th/dp/0123704901/ref=sr_1_1?ie=UTF8&s=books&qid=1257202717&sr=1-1

http://www.amazon.com/Computer-Organization-Design-Fourth-Architecture/dp/0123744938/ref=sr_1_3?ie=UTF8&s=books&qid=1257202717&sr=1-3

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Fourth Edition: The Hardware/Software Interface (The Morgan Kaufmann Series in Computer Architecture and Design) by David A. Patterson and John L. Hennessy Nov 10, 2008.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

IEEE Transaction on Multimedia

IEEE Transaction on Circuits and Systems

IEICE Journal on Fundamentals


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COURSE TITLE

TE – 093802: Data Mining

TE – 093802 : Data Mining

Sks /Credits: 3


LEARNING OBJECTIVES

Memberikan pengetahuan tentang lingkup dan latar

belakang penambangan data dan jenis data yang bisa

ditambang. Disamping itu memberikan pemahaman

tentang pola data yang bisa ditambang seperti pola

kerap, asosiasi dan korelasi, klasifikasi, prediksi,

klastering, dan pola pada berbagai aplikasi seperti data

stream, data sekuen, data WEB.

Memberikan pemahaman paper tentang data mining

pada berbagai bidang, dan pemahaman cara membuat

paper review.

Give knowledge about the scope and background of data

mining, and data type to be mined. Also give an

understanding about data pattern such as frequent

pattern, association rules and correlation, classification,

prediction, clustering, and other patter such as stream

data, sequence data, and WEB data.

It is also give an understanding in reading papers about

data mining application in many fields, and know the

way to write a review paper.

KOMPETENSI/

COMPETENCY

Mahasiswa mengetahui lingkup dan latar belakang penambangan data, jenis data dan pola data yang bisa ditambang.

Mahasiswa mengetahui prosedur yang dilakukan untuk persiapan data seperti pembersihan data, integrasi data, transformasi data dan reduksi data.

Mahasiswa mengetahui peran datawarehouse dan teknologi OLAP dalam penambangan data.

Mahasiswa mengetahui pola umum seperti summarization, pola kerap, dan pola dari data stream, time series, data sekuen, data spasial, data multimedia, data teks, data WEB.

Mahasiswa memahami teknik penambangan pola asosiasi dan korelasi

Mahasiswa memahami teknik klasifikasi untuk

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penambangan data seperti decision trees (classification tree & regression tree), analisis diskriminan, k-Nearest Neighbor, dan neural network.

Mahasiswa memahami teknik prediksi untuk penambangan data seperti loss functions, model linear dan non-linear.

Mahasiswa memahami metode klastering untuk penambangan data seperti partitional, hirarki, diskriminatif dan generatif, serta kohonen network.

Mahasiswa mampu menjelaskan aplikasi data mining pada berbagai bidang.

Mahasiswa bisa memahami paper- paper terbaru tentang data mining dan mampu membuat paper review.

Student knows the scope of data, data type and data pattern to be mined.

Student knows the procedures for data preparation, data cleaning, data integration, data transformation and data reduction.

Student knows the roles of datawarehouse and OLAP technology.

Student knows general pattern such as summarization, frequent pattern, pattern of data stream such as time series, sequence data, spatial data, multimedia data, text data, and WEB data.

Student understands technique of association rules.

Student understand classification techniques such as decision trees (classification tree & regression tree), discriminate analysis, k-Nearest Neighbor, and neural network.

Student understands prediction technique such as loss functions, model linear and non-linear.

Student understands clustering method such as partitioning, hierarchy, discriminative and generative, and kohonen network.

Student can explain data mining application in many fields.

Student can understand recent papers about data mining and know the way to write a review paper.

POKOK BAHASAN/

SUBJECTS

Lingkup dan latar belakang penambangan data dan jenis data yang bisa ditambang.

Berbagai teknik dalam penambangan data yang mencakup asosiasi dan korelasi, klasifikasi, prediksi, klastering, dan teknik untuk mendapatkan pola kerap, serta teknik untuk mendapatkan pola pada berbagai

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aplikasi seperti data stream, data sekuen, data WEB.

Scope and backgroung of data mining.

Type of the mined data.

data mining techniques: association rules, correlation, classification, prediction, clustering, frequent pattern.

data mining techniques for stream data such as such as time series, sequence data, spatial data, multimedia data, text data, and WEB data.

PUSTAKA UTAMA/MAIN

REFERENCES

Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, Second Edition, 2006.

Ian H.Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, Second Edition, 2005.

Nong Ye, The handbook of data mining, Lawrence Erlbaum Associates, Inc., 2003.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Buku dan paper- paper terkait dengan Data Mining.

Other books and papers related to Data Mining.


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MATA KULIAH/

COURSE TITLE

TE – 093803: Komputasi Bergerak

TE – 093803 : Mobile Computing

Sks /Credits: 3


LEARNING OBJECTIVES

Memberikan pemahaman tentang perkembangan teknologi komputasi bergerak dan aplikasinya. Memberikan pemahaman terhadap paper- paper komputasi bergerak, dan pemahaman cara membuat paper review. Give an understanding about the development of mobile

computing technology and its application. It is also give an

understanding in reading papers about mobile computing

and application in many fields, and know the way to write a

review paper.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menjelaskan konsep dasar komputasi bergerak .

Mahasiswa mampu melakukan simulasi komputasi bergerak dalam aplikasi nyata.

Mahasiswa bisa memahami paper- paper terbaru tentang komputasi bergerak dan mampu membuat sebuah paper review.

Student can explain the basic concept of mobile computing.

Student can do simulation of mobile computing in real application

Student can understand recent papers about mobile computing and know the way to write a review paper.

POKOK BAHASAN/

SUBJECTS

Review OSI layer

Cellular Communication

Wireless LAN

Wireless Ad-hoc Network

Mobile IP & TCP

Wireless TCP

Geometric Routing

Mobile Software Tools: J2ME & Brew

Mobile Application: m-commerce

PUSTAKA UTAMA/MAIN Soraya Kouadri Mostefaoui, Advances in Ubiquitous

Computing: Future Paradigms and Directions, IGI PUblIshInG, New York, 2008.

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REFERENCES J. Schiller, Mobile Communications, Addison Wesley, 2002.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

802.11 Wireless LAN, IEEE, www.ieee.org

Mobile IP, RFC 2002, RFC 334, www.ietf.org

TCP over wireless, RFC 3150, RFC 3155, RFC 3449

Mobile Ad hoc networks, RFC 2501

Buku dan paper- paper terkait dengan komputasi bergerak (mobile computing).


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Bidang Game Technology

MATA KULIAH/

COURSE TITLE

TE – 093811: Teori Permainan

TE – 093811 : Game Theory

Sks /Credits: 3


LEARNING OBJECTIVES

Memberikan pengetahuan tentang lingkup dan latar

belakang Teori dalam Teknologi Permainan (game

Technology) yang meliputi aspek lingku ngan maya (Virtual

environment), antarmuka permainan, skenario permainan,

disain permainan (game design), Kecerdasan buatan dalam

permainan sampai ke aspek pedagogik permainan .

Provide the knowledge of the introduction and background

of the Theory of inside Game Technology. These are Virtual

Environment, Gane User Interface , game Scenarios, Game

Design, Game AI and Game Pedagogy.

KOMPETENSI/

COMPETENCY

Mahasiswa mengetahui lingkup dan latar belakang teori permainan beserta aspek pendukungnya.

Mahasiswa mengetahui prosedur yang dilakukan untuk persiapan sebuah pernacangan permainan meliputi yang meliputi tujuan pembelajaran.

Mahasiswa mengetahui peran dari lingkungan maya dan antarmuka permainan .

Mahasiswa mengetahui begaimana menerapkan kecerdasan buatan sebagai jantung dari sebuah permainan.

Mahasiswa memahami teknik perancangan suatu permainan .

Mahasiswa bisa memodelkan suatu teori permainan untuk tujuan tertentu seperti permainan serius dan permainan pedaogik.

Student would understand the components of Game Theory .

Student would understand the procedure for game design which lead to its learning objective.

Student would comprehence the immersive aspek for virtual environment inside a game.

Student would comprehence and gain the knowledge for implementing AI inside a game.

Student would understand the techniques for game

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design.

Student would study for modelling the game theory for specific purposes like serious games or pedagogy games.

POKOK BAHASAN/

SUBJECTS

Lingkup dan latar belakang teori permainan

Antar muka permainan

Perancangan permainan

Lingkungan maya permainan

Kecerdasan buatan sebagai skenario game

Agen cerdas permainan

Introduction and background of game theory

Game User Interface

Game Design.

Virtual Environment

AI in Game Scenarios

Intelligent agents in game

PUSTAKA UTAMA/MAIN

REFERENCES

How Computer Games Help Children Learn by David Williamson Shaffer and James Paul Gee Jan 22, 2008).

Artificial Intelligence for Games (The Morgan Kaufmann Series in Interactive 3D Technology) by Ian Millington Jun 21, 2006.

The Game Maker's Apprentice: Game Development for Beginners (Technology in Action) by Jacob Habgood, Mark Overmars, and Phil Wilson (Paperback - Jun 26, 2006).

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

IEEE Transaction on Intelligence sciences in Game Technology

PRASYARAT/PREREQUISITE

Multimedia

Jaringan Komputer

Multimedia

Computer Network

http://www.amazon.com/Computer-Games-Help-Children-Learn/dp/0230602525/ref=sr_1_2?ie=UTF8&s=books&qid=1257202578&sr=1-2

http://www.amazon.com/Artificial-Intelligence-Kaufmann-Interactive-Technology/dp/0124977820/ref=sr_1_3?ie=UTF8&s=books&qid=1257202578&sr=1-3

http://www.amazon.com/Artificial-Intelligence-Kaufmann-Interactive-Technology/dp/0124977820/ref=sr_1_3?ie=UTF8&s=books&qid=1257202578&sr=1-3

http://www.amazon.com/Game-Makers-Apprentice-Development-Technology/dp/1590596153/ref=sr_1_4?ie=UTF8&s=books&qid=1257202578&sr=1-4

http://www.amazon.com/Game-Makers-Apprentice-Development-Technology/dp/1590596153/ref=sr_1_4?ie=UTF8&s=books&qid=1257202578&sr=1-4

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MATA KULIAH/

COURSE TITLE

TE – 093812: Arsitektur Unit Pengolah Grafis

TE – 093812 : Graphical Processing Unit Architecture

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memiliki pengetahuan dasar pemrograman GPU dan memperkenalkan pola pikir algoritmis dalam penyusunan program GPU yang terstruktur. Student would gain the knowledge of GPU programming basic design in an algorithms way and programming structures for GPU .

KOMPETENSI/

COMPETENCY

Mahasiswa dapat menyusun program GPU dengan pola pikir yang terstruktur dan efektif. Student could design the GPU program in a structure and effective manner .

POKOK BAHASAN/

SUBJECTS

Jenis data dan pengertiannya dalam GPU

Pengertian pengolahan data shading GPU

Algoritma dalam GPU programming

GRID menggunakan GPU

The manner and data structure in GPU

Data Shading processing in GPU

Algorithm in GPU programming

GRID on GPU

PUSTAKA UTAMA/MAIN

REFERENCES

GPU Gems 3 by Hubert Nguyen - Aug 12, 2007.

Multigrid Methods on GPUs by Peter Thoman Paperback

- April 24, 2008.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Physically Based Simulation on GPU - Theoretical

Background and Implementation Details for Building a

Particle Based Physics Simulation Using Programmable

Graphics Hardware by Benjamin Rauscher April 4, 2008.


http://www.amazon.com/GPU-Gems-3-Hubert-Nguyen/dp/0321515269/ref=sr_1_1?ie=UTF8&s=books&qid=1257206802&sr=1-1

http://www.amazon.com/Multigrid-Methods-GPUs-Peter-Thoman/dp/3836499703/ref=sr_1_2?ie=UTF8&s=books&qid=1257206802&sr=1-2

http://www.amazon.com/Physically-Based-Simulation-GPU-Implementation/dp/3836490730/ref=sr_1_4?ie=UTF8&s=books&qid=1257206802&sr=1-4




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MATA KULIAH/

COURSE TITLE

TE – 093813: Lingkungan Maya Permainan

TE – 093813 : Game Virtual Environment

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memiliki pengetahuan dasar tentang lingkunan maya permainan dan memperkenalkan pola pikir dari lingkungan maya permainan bersereta struktur nya. Student would gain the knowledge if game virtual environment and its phylosophy in a struture manner.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat memahami lingkungan maya permainan seperti virtual reality, augmented Reality, immersive environment dan ke cerdasan buatan yang mendukungnya. Student would learn about Virutal Environment components and its concepts such as Virtual Reality , augmented Reality, immersive environment and the artificial intelligence behind the virtual environment.

POKOK BAHASAN/

SUBJECTS

lingkungan maya permainan dan perkembangannya

Virtual reality

Augmented Reality

Lingkungan Imersif permainan

MPEG 21 untuk pengembangan lingkungan maya

permainan

Introduction and the development of Virtual

environment

Virtual reality

Augmented Reality

Lingkungan Imersif permainan

MPEG 21 for implementing virtual environment for

game

PUSTAKA UTAMA/MAIN

REFERENCES

VMware vSphere and Virtual Infrastructure Security:

Securing the Virtual Environment by Edward L. Haletky

Jul 2, 2009.

Cases on Collaboration in Virtual Learning

Environments: Processes and Interactions by Donna

Russell Oct 20, 2009

PUSTAKA

PENUNJANG/OPTIONAL

Avatars at Work and Play: Collaboration and Interaction

in Shared Virtual Environments (Computer Supported





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REFERENCES Cooperative Work) by Ralph Schroeder and Ann-Sofie

Axelsson Hardcover - Mar 16, 2006.

The PSI Handbook of Virtual Environments for Training

and Education: Developments for the Military and

Beyond (Technology, Psychology, and Health) by Dylan

Schmorrow, Joseph Cohn, and Denise Nicholson Nov

30, 2008.

PRASYARAT/PREREQUISITE Algoritma dan Pemrograman Komputer



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COURSE TITLE

TE – 093814: Antarmuka Permainan

TE – 093814 : Game User Interface

Sks /Credits: 3


LEARNING OBJECTIVES

Memberikan pemahaman tentang konsep untuk mendesain sebuah antarmuka permainan, penggunaan komponen yang tepat, dan keseimbangan komposisi dan fungsi komponen- komponen tersebut. Disamping itu juga memberikan pemahaman tools yang bisa digunakan untuk pengembangan antarmuka permainan.

Memberikan pemahaman paper tentang antarmuka permainan dan pemahaman cara membuat paper review.

Give an understanding about the concept for designing a

game user interface, using appropriate components, and

balancing user interface components and its functions.

To give also an understanding about the tools for

designing game user interface.

Give an understanding in reading papers about game

user interface and know the way to write a review

paper.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menjelaskan konsep dan teknik-teknik analisa, disain dan pengujian pada rekayasa permainan.

Mahasiswa mampu melakukan simulasi konsep tersebut pada aplikasi yang sebenarnya .

Mahasiswa mengetahui tentang konsep untuk mendesain sebuah antarmuka permainan.

Mahasiswa mengetahui penggunaan komponen antarmuka yang tepat.

Mahasiswa mengetahui keseimbangan komposisi dan fungsi komponen- komponen tersebut.

Mahasiswa mengetahui tools yang bisa digunakan untuk pengembangan antarmuka permainan.

Mahasiswa bisa memahami paper- paper terbaru tentang data mining dan mampu membuat paper review.

Student has knowledge about the concept to design user interface.

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Student knows how to use user interface components.

Student knows how to balance the composition and functions of components.

Student knows how to use tools to design user interface.

Student can understand recent papers about game user interface and know the way to write a review paper.

POKOK BAHASAN/

SUBJECTS

Planning Menu Flow

Basic Design Principles

Console

Button States

Focal Point

Using Text

Tools

Using Animation

Icons

Creating an Interactive Mock-Up

PUSTAKA UTAMA/MAIN

REFERENCES

Brent Fox, Game Interface Design, Thompson Course Technology, 2005.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Buku dan paper- paper terkait dengan antarmuka permainan.

Other books and papers related to Data Mining.


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Bidang Telematics

MATA KULIAH/

COURSE TITLE

TE – 093901: Komputasi Grid

TE – 093901 : Grid Computing

Sks /Credits: 3


LEARNING OBJECTIVES

Memberikan pemahaman tentang arsitektur GRID, sistem

manajemen sumber daya pada GRID, dan juga bagaimana

web semantik disebarkan dalam sistem GRID untuk

menghasilkan keamanan dan ketersediaan pada GRID.

Memberikan pemahaman paper tentang komputasi GRID

pada berbagai bidang, dan paper- paper terbaru tentang

GRID, serta pemahaman cara membuat paper review

tentang GRID.

Give an understanding about GRID architecture, GRID

resource management, and also how the semantic web is

being deployed in Grid system to provide the security and

reliability of the GRID. It is also give an understanding in

reading papers about GRID application in many fields, and

know the way to write a review paper.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menjelaskan arsitektur dasar dan fitur-fitur GRID berdasarkan standar OGSA, dan standar terbaru GRID.

Mahasiswa mampu menjelaskan bagaimana sistem manajemen sumber daya diterapan pada sistem GRID untuk mendukung unjuk kerja dan keamanan pada GRID.

Mahasiswa mampu menjelaskan aplikasi komputasi GRID pada berbagai bidang.

Mahasiswa bisa memahami paper- paper terbaru tentang GRID dan mampu membuat paper review tentang GRID.

Student can explain the basic architecture and features of Grid based on OGSA standardization.

Student can explain how the resources management system is applied in Grid system to support the performance and security in Grid.

Student can explain GRID computing application in many fields.

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Student can understand recent papers about GRID computing and know the way to write a review paper.

POKOK BAHASAN/

SUBJECTS

Arsitektur dasar sistem GRID

Beberapa konsep dan aplikasi dalam komputasi terdistribusi

Globus toolkit dan layanan web pada sistem GRID

Web semantik pada sistem GRID

Konsep keamanan dan unjuk kerja pada sistem GRID

Basic architecture of Grid System

Some concepts of application in distributed computing

Globus toolkit and web service in grid system

Web Semantic grid system

Concepts of security and performance in grid system

PUSTAKA UTAMA/MAIN

REFERENCES

Maozhen Li and Mark Baker, The GRID core technology,

Brunel Univ, UK, Portsmouth Univ, USA, John Wiley & Sons,

2005

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Buku dan paper- paper terkait dengan GRID.

Other books and papers related to GRID.


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MATA KULIAH/

COURSE TITLE

TE – 093902: Sistem Biometrika

TE – 093902 : Biometric System

Sks /Credits: 3


LEARNING OBJECTIVES

Memberikan pemahaman kepada mahasiswa tentang system biometrika baik dalam system yang menggunakan single ataupun multi modal juga proses kegagalan dalam mendidentifikasi kasus dan bagaimana cara memecahkannya menggunakan ROC curve. Memberikan pemahaman paper tentang aplikasi biometrika, dan paper- paper terbaru tentang biometrika, serta pemahaman cara membuat paper review tentang biometrika. Give an understanding to students about single modal and

multi modal biometric system and failure process in

identification and how to solve it using ROC curve. Give an

understanding in reading recent papers about biometric,

and an understanding in writing a review paper.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu menjelaskan cara-cara perancangan system biometrika baik single maupun multi modal.

Mahasiswa mampu menjelaskan proses kegagalan pada identifikasi system biometrika dan bagaimana cara mengurangi kegagalan tsb.

Mahasiswa mampu menjelaskan tentang modaliti, masukan dan teknik yang digunakan dalam sistem biometrika.

Mahasiswa bisa memahami paper- paper terbaru tentang biometrika dan mampu membuat paper review tentang biometrika.

Students can explain the design methods of single modal and multi modal biometric system.

Students can explain failure process in identification of biomeotric system and how to reduce it.

Students can explain about modality, data input, and techniques used in biometric system.

Students can understand recent papers about biometrics and able to write a review paper.

POKOK BAHASAN/

SUBJECTS

Fenomena biometrika

Pengidentifikasian single ataupun multi model biomterika, untuk pengenalan.

Kegagalan pada sisitem identifikasi biometrika dan

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penanggulangannya

Pengaturan ROC curve

Sistem Biometrika menggunakan ROC curve

Phenomenons of biometrics.

Single modal and multi modal biometric identification for recognition.

Failures in biometric identification and how to solve them.

ROC curve.

Biometric system using ROC curve.

PUSTAKA UTAMA/MAIN

REFERENCES

Anil K. Jain, Patrick Flynn, Arun A. Ross, Handbook of Biometrics, Springer Verlag 2005.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Buku dan paper- paper terkait dengan Sistem Biometrika.

Other books and papers related to biometrics systems.


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MATA KULIAH/

COURSE TITLE

TE – 093903: Jaringan Komunikasi Multimedia

TE – 093903: Multimedia Communication Network

Sks /Credits: 3


LEARNING OBJECTIVES

Mempelajari berbagai permasalahan pada transmisi dan

distribusi sinyal-sinyal multimedia pada jaringan dan teknik-

teknik pengolahan dan pengkodean yang berkaitan.

To study various problems encountered in transmission and distribution of multimedia signals over network and related signal processing techniques and coding.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu memahami dan menyelesaikan

permasalahan pada komunikasi dan distribusi sinyal-sinyal

multimedia pada jaringan sebagai berikut:

Teknik-teknik pengkodean citra, video dan audio digital

untuk distribusi pada jaringan

Karakterisasi saluran transmisi dan jaringan serta

pengaruhnya terhadap pengiriman sinyal multimedia

Teknik-teknik untuk mengatasi kesalahan pada

transmisi, kehilangan paket dan pengaruh fluktuasi

pada trafik di jaringan

The students will understand and be able to solve various problems in communication and distribution of multimedia signals over network, as follows:

Coding techniques of image, video and audio for network distribution

Characterisation of transmission media and network and its relation to multimedia signal transmission

[Techniques to counter error in transmission, packet loss and effects of traffic fluctuation in network]

POKOK BAHASAN/

SUBJECTS

Teknik-teknik pengkodean yg tahan terhadap kesalahan:

slice structured coding, flexible MB ordering, scalability,

data partitioning, flexible reference frame concept.

Resynchronisation dan teknik-teknik penyembunyian

kesalahan: spatial, temporal & hybrid error concealment.

Arsitektur adaptasi: berbasis pengirim, klien, proxy dan

server. End-to-end delay, waktu reaksi dan latensi.

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Kompleksitas. Rate control dan transcoding. Mode-mode

scalability: temporal, spatial, SNR dan hybrid. MPEG-4 FGS.

Motion compensated wavelet video coding. Model

kehilangan paket pada kanal dengan memory. Streaming

pada Internet. Panjang burst ; heavy tails ; underflow, round

trip delay ; jitter ; packet reordering. Transmisi paket

dengan prioritas : packet erasure; layered MDC ; CRC+RCPC;

proteksi kesalahan : interleaving & product code. Rantai

Markov untuk model kanal nirkabel; panjang memory;

Model-model QoS: IntServ dan DiffServ. Bandwidth

management, channel quality monitoring; delay

differentiation. Middleware adaptation service. Arsitektur,

protocol dan format file. Model buffering dan leaky bucket.

CBR dan VBR. Compund streams. Pengkodean sumber,

pengkodean kanal dan laju kedatangan. Multicast

addressing, struktur multicast router; hubungan dengan

protokol lapis lain; IGMP. Routing pada mode flood-&-

prune. Link state routing dan MOSPF. Interdomain multicast

routing. Prinsip-prinsip multicast; macam-macam protokol:

DVMRP, PIM, MOSPF, IP multicast dan keterbatasannya.

Multicasting hirarkis: HDVMRP, LGC, HIP, QHMRP. Video

streaming pada jaringan P2P. Transmisi paket video dan

retransmisi. Sender-driven prioritization; distortion-

oriented; scheduler evaluation. Contoh-contoh

eksperimental: CoDiO P2P

Teknik-teknik transmisi video digital: terrestrial, cable,

satelit dan jaringan IP. Desain jaringan dan coverage.

Coding techniques for error resilience: slice structured coding, flexible MB ordering, scalability; data partitioning; flexible reference frame concept. Resynchronisation and error concealment techniques: spatial, temporal & hybrid error concealment. Adaptive arrchitecture: sender, client, proxy and server based. End-to-end delay, reaction time and latency. Complexity. Rate conrol and transcoding. Scalability modes: temporal, spatial, SNR dan hybrid. MPEG-4 FGS. Motion compensated wavelet video coding. Packet loss model over channel with memory. Streaming over internet. Burst length; heavy tails; underflow; round trip delay; jitter; packet reordering. Packet transmission with priority: packet erasure; layered MDC; CRC+RCPC; error protection; interleavingand product code. Markov chain for wireless channel modeling; memory length. QoS

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models: InsServ and DiffServ. Bandwidth management, channel quality monitoring; delay differentiation. Middleware adaptation service. Architecture, protocol and file format. Buffering model and leaky bucket: CBR and VBR. Compound streams. Source coding, channel coding and arrival rate. Multicast addressing, multicast router structure; IGMP. Routing in flood & prune mode. Link state routing and MOSPF. Interdomain multicast routing. Multicast principles. Protocols for multicast: DVMRP, PIM, IP and their limitations. QoS. Hierarchical routing: HDVMRP, LGC, HIP, QHMRP. Video streaming over P2P network. Sender-driven prioritization; distortion oriented; scheduler evaluation. Experimental examples: CoDiO P2P. Digital video transmission techniques: terrestrial, cable, satellite and IP networks. Network design and coverage.

PUSTAKA UTAMA/MAIN

REFERENCES

Philip A. Chou & Mihaela van der Schaar, eds., Multimedia over IP and Wireless Networks: Compression, Networking, and Systems, Elsevier, 2007.

Lin Cai, Xuemin Shen & Jon W. Mark, Multimedia Services in Wireless Internet, Wiley, 2009.

Abderrahim Benslimane, ed., Multimedia Multicast on the Internet, ISTE, 2007.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

Artikel-artikel dari jurnal ilmiah: IEEE Transaction on Multimedia IEEE J. on Selected Areas in Communications


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MATA KULIAH/

COURSE TITLE

TE – 093904: Sistem Komunikasi Nirkabel Pita Lebar

TE – 093904: Broadband Wireless Communication

System

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami teori dan konsep komunikasi digital nirkabel pita lebar dan konsep water-filling.

Mahasiswa memahami konsep komunikasi digital dengan frekuensi pembawa jamak dan water-filling pada ranah frekuensi.

Mahasiswa memahami konsep komunikasi digital dengan antena jamak dan water-filling pada ranah ruang.

Student comprehends theories and concept of broadband wireless digital communications and the concept of water-filling technique.

Student comprehends the concept of multi-carrier digital communications and water-filling in the frequency domain.

Student comprehends theories and concept of multi-

antenna digital communications and water-filling in the

space domain.

KOMPETENSI/

COMPETENCY

Mahasiswa mampu merancang dan menganalisis sistem komunikasi nirkabel pita lebar dengan gelombang pembawa jamak.

Mahasiswa mampu merancang dan menganalisis sistem komunikasi nirkabel pita lebar dengan antena jamak.

Mahasiswa mampu menulis critical review tentang permasalahan komunikasi nirkabel pita lebar.

Student is skilled in designing and analyzing broadband wireless communication systems with multiple carriers.

Student is skilled in designing and analyzing broadband wireless communication systems with multiple antennas.

Student is skilled in writing a critical review of problems in broadband wireless communication systems.

POKOK BAHASAN/

SUBJECTS

Review sistem komunikasi digital melalui kanal fading, konsep kapasitas kanal dan water-filling.

Sistem komunikasi nirkabel pita lebar dengan gelombang pembawa jamak, water-filling pada ranah frekuensi,

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pengkodean vektor, OFDM, MC-CDMA.

Sistem komunikasi nirkabel pita lebar dengan antena jamak, MIMO, water-filling pada ranah ruang.

Review of digital communications through fading channels, concept of channel capacity and water-filling.

Broadband wireless communications using multiple carriers, water-filling in the frequency domain, vector coding, OFDM, MC-CDMA.

Broadband wireless communications using multiple antennas, MIMO, water-filling in the space domain.

PUSTAKA UTAMA/MAIN

REFERENCES

D. Tse and P. Viswanath, Fundamentals of Wireless Communications, Cambridge, 2005.

A. Goldsmith, Wireless Communications, Cambridge, 2005.

S. Haykin and M. Moher, Modern Wireless Communications, Pearson, 2005.

S. Hara and R. Prasad, Multi-Carrier Techniques for 4G Mobile Communications, Artech, 2003.

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

J. G. Proakis and M Salehi, Digital Communications, 5th ed., McGraw-Hill, 2008.

IEEE journals and magazines.

PRASYARAT/PREREQUISITE TE-093402 Sistem Komunikasi Digital Lanjut TE-093402 Advanced Digital Communication Systems

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MATA KULIAH/

COURSE TITLE

TE – 093905: Topik Khusus Telematika

TE – 093905: Selected Topics in Telematics

Sks /Credits: 3


LEARNING OBJECTIVES

Mahasiswa memahami teori dan konsep di bidang telematika yang diangkat sebagai topik khusus.

Student comprehend theories and concepts in the field of telematics selected for special topics.

KOMPETENSI/

COMPETENCY

Mahasiswa dapat mendesain, menganalisis, dan membuat critical review dari teknik atau sistem dalam bidang telematika yang diangkat sebagai topik khusus.

Student is skilled in designing, analyzing, and writing a critical review of systems or methods in the field of telematics selected for special topics.

POKOK BAHASAN/

SUBJECTS

Teori dan konsep di bidang telematika yang diangkat sebagai topik khusus.

Theories and concepts in the field of telematics selected as special topics.

PUSTAKA UTAMA/MAIN

REFERENCES

IEEE journals

Others as necessary

PUSTAKA

PENUNJANG/OPTIONAL

REFERENCES

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Documents

Kurikulum S3 ITS