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" , , .' . , , ... lESS ' 2015,.: THE 3 00 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERJNG AND SERVICE SCIENCE M eli a Puro sa ni Hotel - Yogyakarta, 1 - 3 Sep temb er 2015 PROCEEDINGS PROCEEDINGS CREATING VALUE THROUGH INNOVATION Organized by: Department of Industrial Engineering Institut Teknologi Sepuluh Nopember

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Page 1: lESS 2015 - IPB University

" , , .' . , , ...

lESS '2015,.: THE 3 00 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERJNG AND SERVICE SCIENCE

M elia Purosani Hotel - Yogyakarta, 1 - 3 September 2015

PROCEEDINGS

PROCEEDINGS CREATING VALUE THROUGH INNOVATION

Organized by:

Department of Industrial Engineering Institut Teknologi Sepuluh Nopember

Page 2: lESS 2015 - IPB University

Organized by: Industriai Engineering Department, Institut Teknologi Sepuluh Nopember (ITS) Surabaya and Universitas Atma Jaya Yogyakarta - Indonesia

Supported by: Rajamangala University of Technology Suvarnabhumi (RMUTSB) - Thailand Universitas Islam Indonesia (UII) - Indonesia

. ISSN:2338-.7939. :[email protected] ..

Edited by:

Iwan Vanany Nani Kurniati Dyah Santhi Dewi

©Copyright Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember (ITS)

Page 3: lESS 2015 - IPB University

Cover page

Preface

Table of Contents

• Welcome Speech from Conference Chair

• Welcome Message from Rector ofITS Surabaya

• Welcome Message from Rector of Universitas Atma Jaya Yogyakarta

• Keynote Speakers

• Industrial Engineering ITS

• Universitas Atma Jaya Yogyakarta

Committee

Conference Sponsor

List of Papers

Industrial Engineering - Decision Making

I. Annisaa Novieningtyas and Pri Hermawan. Group Model Building for Policy Making (Case Study: Beef Cattle at West Sumatra)

2. Pri Hermawan,· Yuliati ~omar and Soehartati Gondhowiardjo. A Network-based Collaborative Decision Making Model in Reducing Cervical Cancer Spread in Iridonesia. 13

: 3. Eril~a 'F.alma. De'yelopmentofSustainable,Tuna Processing lmlustry through System Dyn~mics .' Simulation.,:- , . '.' .' -_ - ',- ,..,.... ;' "., '20

4. I Made Ronyastra, I Ketut Gunarta and Udisubakti Ciptomulyono. A Multi Criteria Decision Analysis for Reinvestment Action Portfolio Selection Problem in an Indonesian Real Estate Company 27

5. Stefanus Eko Wiratno, Effi Latiffianti and Kevin Karmadi Wirawan. Selection of Business Funding Proposals Using Analytical Network Process: A Case Study at a Venture Capital Company 36

Industrial Engineering - Logistics

I. Farida Pulansarl, Dwi Donoriyanto and Iriani. Performance Assessment Mechanism for Reverse Logistics Maturity Implementation toward Sustainable Manufacturing Systems: A Conceptual Framework 42

2. Adi Budipriyanto, Budisantoso Wirjodirdjo, Nyoman Pujawan and Saut Guming. Berth Allocation Problem under Uncertainty: A Conceptual Model Using Collaborative Approach 51

3. Nur Ulfa HidayatuUah and Ali Musyafa. Hazop Study on Fuel Distribution System Based on Anfis Layer of Protection Analysis in Surabaya Installation Group PT Pertamina Tanjung Perak 59

4. Ardian Rizaldi, Meditya Wasesa and M Noviar Rahman. Yard Cranes Coordination Schemes for Automated Container Terminals: An Agent-Based Approach 66

S. Meditya Wasesa, M Noviar Rachman, Ardian Rizaldi and M Mashuri. Relocating Multiple-Tenants Logistics Center: Lesson Learned from an Air Cargo Terminal Relocation Project 74

6. Siti Nurmlnarslh, Ahmad Rusdiansyah and Nurhadi Siswanto. Inventory Ship Routing Problem (ISRP) Model Considering Port Dwelling Time Information 80

7. Sonny Sanjaya and Tomy Perdana. Logistics System Model Development on Supply Chain Management of Tomato Commodities for Structured Market 89

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Industrial Engineering - Manufacturing system

1. Wiwin Widiasih, Putu Dana Karningsih and Udisubakti Ciptomulyono. Development of Integrated Model for Managing Risk in Lean Manufacturing Implementation: A Case Study in an Indonesian Manufacturing Company 95

2. Joko Sulistio and Tri Astuti Rini. A Structural Literature Review on Models and Methods Analysis of Green Supply Chain Management 103

3. Sri [ndrawati and Muhammad Ridwansyah. Manufacturing Continuous Improvement Using Lean Six Sigma: An Iron Ores Industry Case Application 111

4. Sri Hartini and Udisubakti Ciptomulyono. The Relathionship between lean and Sustainable Manufacturing on Performance: literature review 117

5. Maria Anityasari and Aulia Nadia Rachmat. Lesson learnt from Top-Down Medium Enterprises Selection for Green Industry Pilot Project in Surabaya 126

6 Putu Karningsih, Dewanti Anggrahini and Muhammad Syafi'i, Concurent Engineering Implementation Assesment. Case Study in an Indonesia Manufacturing Company 133

7 Nani Kurniati, Ruey-Huei Yeh and Jong-Jang Lin. Quality Inspection and maintenance: the framework of interaction 140

Industrial Engineering - Operation management

l. Suhendi Irawan. The Effect of Choosing a Transportation Vendor and the Performance of Transportation Vendor on the Perfonnance of Shipping Goods to.Consumer: A Case Study of DB Schenker Freigh Forwarder

2. 'Jl,lgkritMahorait,.Sukanya WongJakron, Sumalee Nam~hote and.-Naruphot:a Oanwimon. Risk . Managemerit 6fVillage Funds in Muahg District, Suplianburi'l?rovince. - :. . :_

3. Susanto Sudiro and Sha'Ri Mohd Yusor. Managing WIP buffer with combination offeeding materials scenario and conventional control theory of single type of hospital bed production

4. Agung Sutrisno, Indra Gunawan and Stenly Tangkuman. Modified FMEA Model for Acessing the Risk of Maintenance Waste

5. Fitemon Yoga Adhisatya, The Jin Ai and Dah-Chuan Gong. Economic lot Scheduling Problem with Two Imperfect Key Modules .

6. Bupe Mwanza and Charles Mbohwa. An Assessment of the Effectiveness of Equipment Maintenance Practices in Public Hospitals.

7. Bupe Mwanza and Charles Mbohwa. Design ofa Total Productive Maintenance Model for Effective Implementation: A case study of a Chemical Manufacturing Company

8. Hafid Budiman. Increasing Compressor Reliability with The Weibull Distribution Analysis

9. Paulus Wisnu Anggoro and Baju Bawono. Reverse Engineering Technology in Redesign Process Ceramics: Application for CNN Plate

10. Endang Retno Wedowati, Moses Laksono Singgih and I Ketut Gunarta. Integrated Production Planning and Scheduling for Mass Customization in Food Industry: A Conceptual Framework

11. Taufik Djalna and Wenny Dwl Kurnlatl. A System Analysis and Design for Packaging Design of Powder Shaped Fresheners Based on Kansei Engineering

12. Tauftk Djatna and Muhammad Raja Ihsan. A Fuzzy Associative Memory Modeling for Production Equipment Status Assessment

13. Taufik Djatna and Fajar Munlchputranto. An Analysis and Design of Mobile Business Intelligence System for Productivity Measurement and Evaluation in Tire Curing Production Line

147

152-

159

167

173

179

185

194

199

205

213

220

225

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14.Sazll Tutur Risyahadi. Scheduling Model of Harvesting Strawberry Considering Product Decay During Storage

IS. Chaterine Alvina Prima Hapsari, Deny Ratna Yuniartha and Ignatius Luddy Indra Pumama. Tour and Break Scheduling for Shift Operators in Hard Disk Drive Manufacturer

16.Jwannaraksu Plten. An influence of packaging design on customer purchase intention

17. Dewanti Anggrahini, Putu Dana Kamingsih and Martian Sulistiyono. Managing Quality Risk In A Frozen Shrimp Supply Chain (A Case Study)

18. Anny Maryani, Sritomo Wignjosoebroto and Sri Gunani Partiwi. A System Dynamics Approach for Modeling Construction Accidents

19. Naning Aranti Wessiani and Satria Oktaufanus Sarwoko. Risk Analysis of Poultry Feed Production Using Fuzzy FMEA

20. Mohamad Faisal Mohamad Sobri, Hawa Hishamuddln, Noraida Azura Md Darom' Disruption Pecovery for a Single Stage Production-Inventory System with Optimal Safety Stock

Industrial Engineering - Operation research

231

239

247

251

259

265

OMI

I. Wahyuda and Budi Santosa. Dynamic Pricing in Electricity: Research Potential in Indonesia 276

2. Chirag Sancheti, Aditya Balu and Amit Kumar Gupta. Simulation based optimization of productivity using Flexsim 283

Bud! Santosa and 1 Gusti Ngurah Agung Kresna. Simulated Annealing Algorithm to Solve ... ". Single Stage Capacitated Warehouse Location Problem (Case Study: PT. Petrokimia Gresik) 289

4. Yuanita Handayati, Togar Simatupang andTomy Perdana. Value Co-Creation'in Agri-Chains Network: A Hard Agent Based Simulation 298

5 . Budi' Santosa .and Ade ,Lia Safitii. Biogeography-based Optimization. Algorithm 'for Single . Machine To~al Wei~hted. Tardiness Problem' .. ,. 307-·

6. Gilang Almaghribi Sarkara Putra and Rendra Agus Triyono. Proposing a Neural Network Method for Instrumentation and Control Cost Estimation of the EPC Companies Bidding Proposal 313

7. Sattarpoom Thaiparnit, Baramee Osateerakul and Danupon Kumpanya. Algorithm Design in Leaf Surface Separation by Degree In HS\' Color Model and Estimation of Leaf Area by Linear Regression 320

8. Danupon Kumpanya and Sattarpoom Thaipamil. Parameter Identification ofBLDC Motor Model via Metaheuristic Optimization Techniques 326

9. Sinta Dewi, Imam Baihaqi and Erwin Widodo. Modeling Strategy of Purchasing Consortium to Optimize Total Purchasing Cost Considering the Dynamic Condition ofOrganizaion 332

10. Taufik Djatna and Imam Muharram Alitu. An Application of Association Rule Mining in Total Productive Maintenance Strategy: An Analysis and Modelling for Wooden Door Manufacturing Industry 340

Industrial Engineering - Product Development

I. Yosephlne Suharyanti, Subagyo, Nur Aini Masruroh and Indra Bastian. The Scheme of Product Development Process as a Trigger to Product Success: A Theoretical Framework 347

2. Ishardita Pambudi Tama and Wifqi Azlia. Development of Customer Oriented Product Design Using Kansei Engineering and Kano Model (Case study of Ceramic Souvenir) 355

3. Taufik Djatna, Luh Putu Wrasiati and Ida Dagus Dharma Yoga Santosa. Balinese Aromatherapy Product Development Based On Kansei Engineering And Customer Personality 362 Type

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4. Dyah Santlll Dewi, Bambang Syairudin and Elca Nahdliyatun Nikmah. Risk Management in New Product Development Process for Fashion Industry (Case Study: Hijab Industry) 368

Industrial Engineering - Project Management

I. Jeyanthi Ramasamy and Sha'Ri Mohd Yusof. A Literature Review of Subsea Asset Integrity Framework for Project Execution Phase 376

2. Baju Bawono and Paulus Wisnu Anggoro. Utilization Of Rapid Prototyping Technology to Improve Quality Souvenir Product 384

Industrial Engineering - Supply Chain Engineering

I. (nvan Syahrir, Supamo and Iwan Vanany. Healthcare and Disaster Supply Chain: Literature Review and Future Research

2. Yudi Fernando and Sofri Yahya. Challenges in Implementing Renewable Energy Supply Chain in Service Economy Era

3. Araya Uengpaiboonkit. The Marketing'S Factors that Effect to Consumers Decisions of Organic Rice in Surin, Thailand

4. Layung Prasetyanti and Togar Simatupang. Proposed Framework for Service-Dominant-Logic Based Supply Chain

5. Taufik Djatna and Rohmah Luthfiyanti. An Analysis and Design of Responsive Supply Chain for Pineapple Multi Products SME Based On Digit~1 Business EcosYJ'tem (DBE)

6. Envin Widodo. A Model Reflecting the Impact of Producer Substitution in Dual-Channel Supp~y-Chain Inventory Policy

... 7'. :T~ufik Dj~tn~' a~d ~ety ~andaya;ni Hida~:at. An Opti~iz~d S~pply C~ain Model for.' Determination of Distribution Center and Inventory Level in A Coconut Water Agro-Industry

8. Slamet Setio Wlgatl and The lin Ai. An Integratcd Production System Model for Multi Supplier Single Buyer with Non Conforming Item and Product Warranty

9. Yoshua Perwira Hartono, Ririn Diar Astanti and The lin Ai. Enabler to Successful Implementation of Lean Supply Chain in A Book Publisher

10. Sutrisno and Pumawan .. \di Wicaksono. Optimal Strategy for Multi-product Inventory System with Supplier Selection By Using Model Predictivc Control

1l.lwan Vanany, Anny Maryani and Bilqis Amaliah. Blood Traceability System for Indonesian Blood Supply Chain

Industrial Engineering - Safety & Ergonomic

1. Natalie Carol Skeepers and Charles Mbohwa. A Study on the leadership behaviour, safety

390

398

404

408

416

423

43b"

436

443

450

457

leadership and safety performance in the Construction industry in South Africa 464

2. Herry Christian Palit and Debora Anne Yang Aysia. The Effect of Pop Musical Tempo during Post Treadmill Exercise Recovery Time 470

3. Eko Nurmlanto, Udisubakti Ciptomulyono, Supamo and Sudiyono Kromodihardjo. Manual Handling Problem Identification in Mining Industry: the Ergonomic Perspective 475

4. Wiyono Sutari, Mumi Dwi Astuti, YusufNugroho Doyobekti and Yuvie Mutiarasari. Analysis of Working Posture Effect on Muscular Skeleton Disorder of Operator in Stamp Scraping in Batik Stamp Industry 483

5. Rino Andias Anugraha, Wlyono Sutarl and I1ma Mufidah, The Design of Working Desk of Batik Scraper by Using the Principles of Ergo no my 488

...

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6. Budi Praptono, YusufNugroho Doyo Yekti, I Gede Wisuda Pura and Fransiskus Tatas Dwi Atmadji. Prevention ofMusculo Skeletal Disorders of Green Beans Farmer Through Application of Ergonomics in Order to Developing Manual Handling Equipment 496

7. Manik Mahachandra, Yassierli and Erdo Gamaby. The effectiveness of in-vehicle peppermint fragrance to maintain car drivers' alertness 500

8. Yassierli, Manik Mahachandra and lftikar Sutalaksana. Fatigue Evaluation of Fuel Truck Drivers 506

9. Ayu Bidiawati and Eva Suryani. Improving the Work Position of Worker's Based on Quick Exposure Check Method to Reduce the Risk of Work Related Musculoskeletal Disorders 512

10. Bernadus Kristyanto, Brillianta Budi Nugraha, Anugrah Kusumo P and Kristanto Agung N. Head and Neck Movement: Simulation And Kinematics Analysis 518

II. Ronny Noriyati, Wisnu Rozaaq, Ali Musyafa and Adi Supriyanto. Hazard & Operability Study And Determining Safety Integrity Level On Sulfur Furnace Unit: A Case Study In Fertilizer Industry 525

12. Dyah Santhi Dewi and Tyasiliah Scptiana. Workforce Scheduling Considering Physical And Mental Workload: A Case Study Of Domestic Freight Forwarding 531

Industrial Engineering - Suporting topics in Industrial Egineering

l. Hatma Suryoharyo and Nikcn Larasati. Sustainable Livelihood Framework As An Approach To Build Community Based Security 539

2. Ngurah Wira, AmelJa Kumiawati and Umar Yunan. The Design of Best Practice on The Media Transfer Activities and Preservation Based on Knowledge Conversion with SECI Method 546

,. ,'. 3. ~ri 9unani P,!lr.tiwi, Elly Agusti~ni and Anny Maryani. Preparati<?,O for Designing Busjness Strategy of Bamboo Cultivation in Bori,dowQso: .,...:......... '. . .... '. .

" "

... 552

4. Yosephine Suharyanti and Alva Edy Tontowi. Market Response as a function of Design, Competition, and Socio-political Condition: An Empirical Model 558

Service Science - Service Business Design & Strategy

l. Tri Ramadhan, Dermawan Wibisono, Reza Ashari Nasution and Santi Novani. Design of Self Service Technology on Passenger Shipping Transportation Service System in Indonesia 566

2. Ratna Hidayati and Santi Novani. A Conceptual Complaint Model for Value co-Creation Process 574

3. Mikhacl Tjhi, Jann Hidajat Tjakraatmadja and Santi Novani. Designing value co-creation process in organic food product distribution Case study in Bandung 579

4. Nurtami Prihadi and Santi Novani. Value Co-Creation among Stakeholders in Solo Tourism Development: Service System Science Perspective 591

5. Arlavianyssa Pradiva Arru and Santi Novani. Value Co-Creation in Solo Tourism by Using Soft System Dynamics Methodology 60 I

6. Rizki S. Nurfitria and Mursyid H. Basri. Developing Clinical Pathway Model in Public Hospital as Basic Component of Casemix System 609

7. Watcharee Phetwong and Krisom Sawangsire. The Development of Computer Game for Historic Sites Learning in Suphanburi. 617

8. Lidia Mayangsari and Santi Novani. Multi-stakeholder Co-Creation Analysis in Smart City Management: An Experience from Bandung 622

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Service Science - Service Delivery & Operations

l. Imam Djati Widodo and Hanvati Sutanto. AR MBA: Linkage Pattern of Visited Tourism ~~ ~

2. Liane Okdinawati, Togar M. Simatupang and Yos Sunitiyoso. Value Co-creation Map in Collaborative Transportation 635

3. Americo Azevedo and Maratus Sholihah. Innovative Costing System Framework in Industrial Product-Service System Environment 642

4. Iwan Vanany, Udisubakti Ciptomulyono, Muhammad Khoiri, Oody Hartanto and Putri Nur ImanL Willingness to Pay for Surabaya Mass Rapid Transit (SMART) Options 649

Service Science - Service Quality

1. Agus Mansur and Rizky Oestiana Hapsari. Analysis of the Public Transportation Service Quality on Trans 10gja Transportation 658

2. Zya Labiba and Mulih Wijaya. Improvement Quality of Industrial Training Center Through Service Quality Based on Participation Perspective 663

Service Science - Supporting topics in service science

l. Gembong Baskoro. The concept of balancing Higher Education Institution (HE I) organization towards global and regional challenges 670

2. Samhuri Ikbal Pradana, Amelia Kumiawati and Nia Ambarsari. Knowledge Management System Implementation Readiness Measurement in pon L1PI Based On People and Organizational Structure Factors ' 674

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I

Prot'cellillg of 11If11l$triu/ Ellgilleerillg 111111 Serl'ice Sdem'/! • 21) I 5

A System Analysis and Design for Packaging Design of Powder Shaped Fresheners Based on J(({l1sei Engineering

Tautik Djalnu", \Venny Dwi Kllrniati b

' Postgraduate Program or Agro Indust rial Technology. (logor Agricuhll r:l l University. Bogor 16680, Indonesia, taulikdjnt­~ipb.a.::.hl Graduate Program of "gro lndustrinl Technology. n ogor f\ gr icuJtura! Uni \'cr~i ly. 13ogor 16680. Indonesia. well­nrdkY!!, J;!Il:lil.~\'111

ABSTRACT

1\'011/1'(11 fi'csheller s .well (IS l ea. coffee (llId c/wco/alc Ihal .~/;IIIIII(lfe the lIelTC rc:.pollse 10 morc f1C:l il'C r estllti llg ill jrc.\·her e.ffect fbI' 'he 1I,I"Cr . Most of lea (lrc pnlccs.wd (IS powder shaped. CI/IT(:lIlly lea p0lI'der .I' liflll.lw / flu: fra­diliollof packtlging which im:ulllpclcllce lrith illlc/'Iwli{)l1a/ compelitor. To ,\'Upporl CllstOIllCI' preferencc.\· and to improl'c sales of lea powdcr product. Ihe packaging design m/lSI bc allraclil ·c. Ma in cOII/,.ibll l;OIl of lhis re.~eal'ch \\'(!I'e 10 idelltify Ihc design elCIII CIIl of packaging design, idenlify packagil,g design on Km/S/!i lI'or(h alldformll­laic Ihe lIell' paekagillg deSign. KOllsei Eng illeering u'e!'c u~'efi" ill creating a IICU' illI'cllled fJ l'OdUCf ill order fO bridgc the de.f ired product ch(lr(lcteristics JO"'coIISIII"e,. ·.~ perccption. The proceH modding phase for .fys/em mwlysis alit! des ign SUII'IS from Busillcss Process Model alld Notatioll (BPM!l.1] /0 gel the imprOl'clllelll of p ack­aging fi mctiol/ality. lI.mbili fy alld pleasurable. D (I /(I alld illformation were acquired by que.wiol/lwircs. The methods of K(lIIsei 1I'0rds It'it;' T"--ID"-, (111(/ fOl'llllll(llioll of packaging de~'ign lI'ith QTT 1 approoch The 1'1'.\'1111 of thiJ' re.l'e(ll'ch sholl' thaI Ihe for lll lllfll ioll of IIell' packaging (/e~' ;gll 11';111 eye C(l/chillg s ll'(lIegy. lIIake the color i.f green, thc image is CIII), the typography i.~ custom and Ihe .~Iwpe ;.f ollruc/iI·c.

Kl.')'lI'ords: Kallsei Engil/eering. Packaging design. QTTI. System all(ll)'.\·i.\· (lilt! t!cJ'ign. TF-IDF.

I.lnlroduclion

Customizable designs disc riminate competitiveness bc tween companies. enhanc ing the quality and penetrating customer perception with beller and unique products. The problem faced by designer is how to match the ir product by developing preferred product for generic user or the spccific customers' perception. It is an oppor­tunity to make improvemencs in to.: rms of the appearance of pac kaging do.:s ign and p:lekaging qua lity. thus indi­rectly will result in increased preference, pleasure and satisfaction of consumers. Nowadays, consumers are stricter to choose the products in tenns of demand, needs. and preferences. Development product is a process in company to produce the Olltput prodllcts arc attracti ve lind fa vorcd by customers. Emotions feelings . creati vity and innovative aspect arc key to improvc customcr acceptance of prod ucts [II.

Packaging design be said to have a slarting role that consumers must be passed in the dceision to purchase a product. To bc able to innuence the consumcr's decision required a packaging design that is attracti ve and unique. The design should be able to touch the emotional side of the consumer. Emotional e;<perience in the packaging is produced from seeing or touching the container 12). Having regard to the emotional side of the consumcr to be produced packaging that may a ITect the interest of potential buyers to purchase the product. One of tile methods used to design the packaging of lhis is to usc the K(msei Engineering.

Kamei Engineering is defined as a tec hnology that translates for costumer' s Kallsei (psycholog ical fee ling) into design spec ificat ions (31. K(lilsei Enginccring is sometime use ful in creating a new invcnted product. De­veloping dcsign products through their own concepts. While consumers want their products in accordancc with the design feeling, function and price of the consumer.

The exploration or KOllsei words to be\'erage packagi ng design actually is not casy to dc fine. although the data sets get rrom eustomcr I user respond. i\ ner the data constnlct in fonn decision tables, the next problem is vagueness to clearly dcfine spcc ifi c relation fo r conditional attributes :tnd decision nttributc. Beverage packaging design is a unique olle because in packagi ng should consider clements att ributc with any information about product and other have fu nction:l lity as protection (4 ). This is :l new example ofapplic:l tion of Kal/.~ei Engineer­ing in paek:lging design of powdcr shapcd rrcshener. There were thrce main objecti ves in this research as fo l­lows: ( 1) identification thc design clcments of packaging design. (2) identification packaging design on KmlSei

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i \ Sysh:m AnJ lysis and Design for I'acbging Design of I'owder Shaped Freshel1cT:S lIased on Km,sei Eugi l1eering

Words and (3) fonnu lme the new packaging design. In the future be re(luired quantitative ami quali tative fonnu_ lation for adaptivc modcl of packaging design of Jlowder shaped fresheners.

This paper is constructed as follows the related works fo r analysis and p:lekaging dcs ign system based on KE in Sec tion 2. the described of methodology in Section J. Scction 4 present the result and discussion for applica_ tion e,"(ample of proposed method to tea powder packaging design. In section S. main conclusion nre covered_

2. Rcl:ltcd Works

System is an integrated sct o f intcroper3ble elements that work ing synergistically to perfonn value-added pfO.­cessing and 10 s3tis fy the user wi th a specified outcome rSJ. Evcry system consists o rits inputs. entities, outputs, stakeholders. roles. constrains. etc. that need 10 be identified. The components that construct system entity arc presented in Figure t.

It.,,,. JI~'''' ''.t tr, ... ,.,. ..

~'-"l mil"·· .. I C_I~'

, ,,,~, '.,." t·_",..tJ, I.,."

5".1.", t:nll l )' (.,", 11,,'00/ ... ,, __ ,

. ,\",ih,oo-< .""",,,,,,

. C~I.,,' ·11,·1 ........ "

. ~ .. , .. ......,. • s."k"<>

I I I aw---. I •• ,... """_ r. .. ....,_

,,,,,,..,, "".,.n , (· ... "',.uw 0..,.."

...... _ ..... , ,

Figu re I. Sy~ tem entity eonstructie>n (Wasson 2006)

KIll/sci Engineering (KE) is a technology that translates the Kmuei. or images. that consumers ha ve in thcir minds regarding product designs. Hybrid KCII/sci Engi neering is a type of KE System (KES) by Forward KES and Backward KES to fonn Hybrid KES. This type of KE enables iter:uive process fro m design c lement to KlI/I· .fei evaluation. Hybrid KE implement ation can be seen in the study of high heel design 16J and in the work of{7J. tv1cthod of KlIl1Sei Engi neering is a method used to idelll ify the psychological aspects of consumers when inter· acting with products and find the relationship bet ween the fee ling :md the products [8 J. In practice. this mcthod has the characteristic fonn of words which symbolizes the desire of consumers to the product. which is called Kal1sei words. The Kallsei words into the variables that wilt be ta ken into considerat ion in designing new pack­aging des ign.

There :Irc has three types of info rmation designers need to caplure the visu:]1 system. namely packaging de­sign. descriptions and relationships [9]. Stated in packaging design challenge is whether th e characteristic :ltlrib­ute- design elcment tlmt is able to attract the attention of con sumer. and whether packaging is able to perlo rm the function in accordance with its properties [~ l. The ch:lllenges in the packaging industry show des igners generate strongly about it and vislm lize the product in the fonn of simple and d feetive. leaving a posi ti vc perception to thc consumer or buy other among similar products [10[. The properties of the packagi ng material and :Iffccth'c perception innuence consumer decisions such as hardness. abras ive, so ftness. smoothness and \\'ann (6} and [10]. Thcre arc no effect the fonn of packaging to the consumcr purc hasing pre ferences [ II]. The dcsign cle­ments arc d ivided into stmctural packaging design and graphic surface. aga in in the top of the fo nn and function. mnterial and eomplction. branding and typography. image and color I IOJ. The basic idea is the packaging design set of layers (silos). where each laycr has severa l alternative op t ion~ (elements) :Uld the st3te thai attribute fonn clements such as logo design. nutrition and health statement. style (style). picture (im:lge). aroma (Ila\'or) and color (4]. A study of traditional Chinese design food packaging (moon cake) with a focus Oil c lements of tc."( t. graphics. color and layout [12J. The visual e lemcnts of packaging design is Ihe word . graphics, colors. trade­marks. shape. sile, te:-.: lUre (13 J. Research ror wine packaging wilh design clements. label :lIld typography [1 ~ J.

3. Methods

3. 1. Ilcqtt irc llIc llt Ana lys is and Syste m J\ l nd e lin g Process requirement anal ysis defined as first stage assessment in system approach and req uire to develop a sys­tem properness. The aim' s in thi s stage is to defi ne fac tors in analys is system in over311 stakeholder. In this topic. a system or subsystem as it c."(ist within th e eooper<He sta keholder may be graphicall y llIode l which show the boundary system and the informat ion Ilsed in the systeill . With anal ysis alld design. the production system Ihut

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1\ Syslem l\nu1YS1S mill Design fur r admging De~ ign (If I'owtkr ShapcII Frc~hcncrs Ha~l:d on Kalllel Englllcerlus

can improve the e ffideney lind e rrecti veness in Ihe system especially in order 10 produce Ihe packagi ng des ign or tea powder by using the K(lme; engineering method WlIS produced. Ana lysis :md busi ness model ing using I3PMN workflow using sof'tware sllch as Sybase Power Designer 16.0 (SA P. 201 3). In 13 PMN processes and sub processes analysis perrormed in the slud y in order 10 obl:lill l111 over:lll process fl ow.

3.2. Packagin g Des ign Elemcnt Jd cn til1 ea ti oll Identification or product des ign is the initi al phase 10 develop Ihe product design. In Ihis paper. we identify Ihe design of tea powder product in order to understand Ihe design dements of tea powder product wilh collecting sumples of lea powder product.

3.3. Packaging Design Element 0 11 KllIB'ei Words In this paper detennined the attribu les o f packaging design based on KtllIsei words in order 10 obtain correcl 10 design the packagi ng especiall y for tea powder. The Ktll/.H'i words were derived frOIl1 Ihe collecting in some books. journal. inlernel. ctc. Then the KW was eX lr:ll:h:d !lnd gronping them by usi ng TF· JDF method th:lt; s one or thc methods or text mining. From Ihis, representuti ve K W IVere fina ll y chosen und become the stmlcgics or desi gn product based on KW wh ich is answer the first objeclive in lhis p'lper.

TF-1DF stands fo r lerm frequeney- in\'erse documetH fre(llie ney. is a st;ctistic melhod lhal is intended to re­Oeet how important a word is to a document in a colleclioll . It is a way to score Ihe importance of words (or "tenns") in a KW based on how freq uenl ly Ihey appear across multiple queslionnaires. The fo llowing ( I ) com­mon variant was used in ou r ex periments:

1V4= f .... xlog( ID [M·.D) (I)

Where wd is Ihe weight of the TF·IDF. {IV. is lhe frequency o f word w in documetH d, and D is lite lIumber or documents in the lext collec tion. Nomlal izmion 10 uniJ length is generally applied to lhe resulting \'eetors.

3.4. Pack aging Des ign Forrn ula lion Fonnu lation or tea powder packag ing design based on K.E is obtained as a resu l! of the itHeraC lion between product dcsign s!ratcgies and design producl demcnls. Once more questionnaire were giving 10 consumcrs 10 evaluatc product properties based on strategy product Ihat wou ld ha\'e detennined before. Semantic differential scales (7 scales) were used here. Sca le with Ihe IWO ex tremes rangcs "1I0t at all" to "vcry much".

The resuh of the evaluation wcre synthesized by using qU:1I1lification theory Iype J (QTI1) I1Icthod. By using this method, would get Ihe romllliation or packaging design of lea powder and il would answcred Ihe second objecth!e of this paper. The QTT I can be regarded as ,I mcthod or quant ilali\'e and catcgorical11lultiplc regres­sion analysis method, which allows inclusion of independcnt variables tlmt are categorical and qual itative in na­ture. The QTTI consist o flhe rollowir'3s six steps (Lin et al. 20 12): Step I : define the K(lIlsei relational model associ al ed wi lh Ihe KllIIsci measurement score of experi mental sample with respeclto an image word pair. The calegorical nmltiple regression modcJ can be defined as (3):

jlk _ ~E ~(. P s - £"1= 1 £" J- I l/xIJS + E (2)

~: '" the predicted value of criterion \'ariable ror the i~ product sample 011 lhe I/" image word. = the index of design clemen!

E = the number or design e lemenl j = the index or category C. '" the number of category of the {A des ign element E = a stochasti c variable whose expeclation valuc E(E )=0 Pij = che category score ofthel style within the /~ design clement

xi ls = the coeffi cient of lhe dummy variable Stcp 2: calcu late the standard ized regression coeffic ients (4) and standardi zed constant in modd (5). The model o f categorical multiple regression analysis can be redefined as (3):

(J)

P• -p I ~(r p' II - I} -;; £" Ja \ /Jxlls (4)

-k_I ~(; k Ys -;;£" j=\Ys (5)

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A System AnalYSIS and Design for Packaging De~ign of Po\\der Shaped Fresheners Based 011 Ktmsei Engineering

Step 3: Deteonine the matrix CCR of correlation coefficient of all variables. Step 4: Calculate the multiple correlation coefficient (R) that is regarded as the reJ:lIional degrce of ex tcrnal criterion variable and explanatory variables. Step 5: Calcu late the partia l correlation coeffic ients (PCe) of design elements to clari fy the relation. ships between product element and a product image. Step 6: Determine the statistical range of categorical varia. ble which indicates its contribution degree to th e pred iction mode l wit h respec t to a givcn product im3ge.

4. Result and Discussion

4. 1. Requirclll cnl An:tlysis and System Mode ling To analyze and to design production system by us ing KlII/sci engineering on tea powder wit h to identify of all things that needed in whole system was begin. The system have three stakeholders. there nrc packaging manager, designcr, and R&D mannger, there arc presented in Figure 2.

S,' ~ l e lll a n a lysis and d esit.: n for pac ka t.:1 n jt Iks l)! 11 " r le :l lI" wcl cr

I'",.)" ... .. ,.,rpI~.

L'"""""" 1~ ·,·r",,,, .. ·~

I' .,bll-,nw .\I~""iI'"

1)."'1:fIO'1 K&1l "", ... wel

O UTI' UT

~ "'''M,I.'''H' ,,( '''' .. p;I" ~a~ i,,~ ,k.,~"

Figure 2. SYSU'1Il a nalys is :Ind d esign for 1l:lckagin g design of le:1 1'1Iwd l' r

Finally the l3usiness Process ~:l odeling and Not;ltion (I3PMN) that represent all detailed relationship between process. sub process. work now, stakeholder. and fonnulation that involved in the system was bui ld. BPMN for the identifying packaging design clement. detennin ing packaging design strategies with Kmlsei words and for· mulating product dcsign is presented in Figure 3. " and 5.

:,w(ily IIoQ ~i')hI of l( ~n\IC:l.,')I"$

100 · I ~O

_ . 1<." lMl i .... "'J( • • hd 1(_00.; .... rdl (T~DF -- IE "[ at

'" I c~lcc' I( . n.; .... '" .",1/"'''1

1 9;' .... t". ~g/lt o/ltl"'! .... ""

''''' 112 ".I .. '''''._ ..... rr={~ COUJ\! ~r.u rftlq .. "", J - "j of ~",_.nto 01 q .... s"' ..........

51." laL <o .. ,~"9 "'9~1 " I

K.n.'roQltI, ... ", I TF~DF .... lhad ,.,

~ KO".'_I<I. 1 (I: dc t c nnl " ~ ~ ... ..,I

~ ..

~

.

1 9- --'

F i !; IIr1~ J. IIPi\ lN foT Idcnllfyln l,: nf design element pa cka!;ing

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, Figure 4. l3I'i\l N for determining packagmg d esign on KUllu ; words

216

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r

t\ SYSIClll Analysis and Design for l'il<;kagi!'g Dcsig ll of Powder Shil!'!.:" Fl'c ~ h~l\crs flu \cd UII K<llIsd Engineering

d(llcrmino lo,",ul(lllo" of nnw p tlck:lging d""!l"

--1~ define Kon:;c l model ~,,:cl t,,: IW<l',m I sampl e " Hh Konsol worth

r~ COl",lI" tI coa rtisi')Il I<ItI ' ''"O '' sumdllfd

I Il n (1 (0"&11"10 mOdol Slllndtlrd

:~ ru: oou"l lhc multiple

I-'-~ CQ unlin!! cocffl:lon

co trc t(l tlcII coa l/ie lenl corrolnllon lor fill 01 ~nrillbl"s

J [@ Ie;; lz dete rmine

COlln t th e pa rt ia l uan!!ote the mode l ..... 1\' lormul~ljon 01 new correlA tion (looNlci.",! If· Iho" n ile

J pllcka!lI"!1 doS!)"

6 '"'

Figure 5. ,\ BI' ,\ ! N for form lli uli ng IHlCkal!inl! dC5igil wi th QT T I

4. 2. ll acbgin g Design Element Ident ifi cat ion

Identify the packaging design of lea powder by collecting 10 lelL powder products. The identification of lea powder producls is prcscnlcd in Ta ble 1.

Dcsign clc'nem

Color Image Typcgrapll)' ShJ[?C

R,d Cop Custom

T:.ble I . Iden lili n .l ion of 'I llck:!!;ing dcsill ll Ie:. (lowder

Tvpc , )

Yellow Gr~en

Leaf Tea Standard

AlIrnct;\'c Slim Robust

4 Blue

Artcr idenl ify the design element of product. then classify them into thei r design elemenlS. The result of the clas­sification is prcsenled in Tabl e 2.

T:.hlc 2, Classili cation of packaging d esi:;n d emen t

No s:unp[cs Xl Xl XJ X4 , , , , , , , , ) ) , , , 4 , , , 5 4 , , )

6 , , , )

7 ) , ) , , , , 9 , , 10 , )

4.3. Packaging Design Element on K(11Isei Words The form ulation usc TF-IOF mel hod on Kamei words analysis, Colleeled 20 questionnaires about KOllsei words fro m conSUIllCrs, In T:lblc 3, there arc the results of calculati on Kal1sei words by using TF-IDF from a hypothel­ical data of the questioner. The result is showing Ihallhe K(jllsei words that have the highest weight is "bright", "modem", "simple", "eye catching" , From this resull, the slrategies for developing Ihe packaging design of tea powder product was determi ned, Then th is result were used for synthesis phasc to get the fomllliation of pack­aging design of lca powder product.

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A System Analysis and Design for I'ack.'lging Design o f Powder Sh,lpcd Fresheners Q,Lscd 011 K ( III.I"(.!; Engineeri ,!!;

Tahle 3. T hl' resul l of ca lcu lation KW rrOIll Llu rslion naircs b,· usin g 'n ;· lI)F KGn ... : i wortls , l 4 , 6 '0 fI'.t IIri \: ht 0 0 I II I II I 3.1 114 Beautiful II I I I 0 II I 2.856 Strangt 0 0 I II I I 3.013 Unique II I I I II 0 2.432 Colorful I I II 0 I II II 3. 121 Imcrc5ting I 0 0 0 I II II 3.0 10 Elegant II 0 I I 0 I I 2.HS(, Trendy I II I II I II I 3. 121 MoliH Il I I 0 0 0 I 0 3. 183 Simple II 0 I 0 I II I 3.191 Look dil1hcnl I II II II II I I 2.662 EH c31ching I II II I 0 J .l lI ~

4.4. Packaging Design Formulatio n

Collecti ng the questionnaires for evaluate the existing samples produc t wi th design product strategies. These quest ionnaircs involve 10 samples product and 20 respondents. The result o f hypothetical data of Ihis questioner is represented in Tahle -I . I3-D is bright and dull. 1 ... 10 - TRD is modem fl1ld tradi tional. the SoC is simple and eomplc;'(, then EC-US is eye catching and un sightly. Software R were deployed on QTTI ana lysis to examine the relationsh ip between the four product form eleme11ls and four product images.

Table 4 . E \ 'aluatin g samp les p ack aging d es ig n No Xl X2 X3 X4 Uright - Dull MO<lcm - Tr:u!itional Simple - COlilpleX Eye ca tching - Un,ight ly samples I , , , 4.30 "'. 4.25 4.35 , , , 4.15 3.75 3.65 ·1.75 l J , , , 4.50 3.50 }.50 4.(,5 4 , I 4.10 4.25 4.05 4.<JO , 4 , J 3.75 4.0S 3.35 .1.65 6 I , 2 J 3.35 4.50 3.55 ·1.00 J l , J 3.70 4.S0 4,40 4.50 8 , , , 3.95 3,45 4.95 3.75 9 , , 2.95 '5' 4..15 H5 10 , J 4AO 4AO 4 .00 4.00

The QTr-l ana lysis method computation was generated by using program ming in R language and the resu lt was represented in Tah le 5. From Ihe Table 5 will know instantly [he recommendation of developi ng the com­bination packaging design on lea powde r product. The values in each calegory show the innuence level of lea powder packaging design product. The highesl positivc va luc of category score in R2 was recommended. The design support infonllalion of the new packaging design of le:1 I)owder is represented in Tab le fl . By implement­ing Ihis system, the tea powder p<lck<lging design fonnu lation was devcloped.

T a ble 5. Th e r esull of QTT I an ah'sls D D Mil - TRD S- C EC - US

Design elcmcm Cateyo!)' I'ce e~tcgO!)' r ce e~!egory rcc Category pee score score score score

XII 0.16'1 OA62 0.399 0.053

Xl X12 .0.284 0.3 15

·0.601 0.77-\

·0.30-1 0.60) ·0.,07 0.950 X13 0.156 0.109 -0.01·\ 0.5 13 X14 ·0.131 ·0.264 ·0.M7 ·0.317

Xl X21 0_283

0.522 0.1 11

0.336 O.J·I)

0.627 O.OO~ 0.106

X22 ·0.0124 ·0.166 ·0.5 14 ·0.012

Xl XJI ·0.523 0.630

0.2 19 0.0180 ·0.2-13 0.354 0.532 0.954 :02 0.224 ·0.094 0.10-1 ·0.228 X41 0.709 0.3.16 0.239 0.327

X4 X42 0.286 0.645 ·0.157 0.525 0.3 16 0.632 0.057 0.807 X43 ·0.534 0.112 -OA5·\ -0.1 :)3

ConS!3n! 3.915 4.185 4.015 4.)40 R 0.716 0.852 0.701 0.98) R' 0.5 13 0.726 0.0191 0.961

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1\ Sy~ t e1ll Anal) Sh and Do.'s igil for I'aelagmg Dellgn uf 1'0,,,lcr Shape.1 Fresheners Based on KIIIISI1 I I:nginecring

Tall ie 6, Design $IIIJllll rt infol'm lil ion for th c nell' packaging d c~ i gn of t,'a IIUII d,' r XI X2 XJ

Un~h t !)ull Modem Tl1ldll,onal Sltnplc Complc~

Eye c:lt chi"g UU$iUlll lv

Culor BIll<:

Ydlo" K~d

),dlo" R,d Blue

Green Blue

5. Conclusion and Recommendation

Ima!!c TvpoSl1lphv Cup Custom

tcar lca St311dard Cup Custom

" caf tca Standard Cup Stalldard

Lcaf lca Custom Cup C II,' (O' )1

Leaf(ca S(:lIulll rd

X4 Shape

Attractil'e Robust

ALl I1lClil'c Stirn Slim

Rvbus( l\ tt m~l i ,'c

Robus!

The results of this research show Ihe system consists of lhrce stakeholders there arc packaging manager. designer. and R&D manager. The identificat ion of lea powder p;lckaging design. consisted of four design clement there arc color. image. typography and shape. Tlw design of tea powder packaging <!csign on K fl llSei words fall into four categories of bright, modern. simple. and eye cat ching. Finally, the form ulation of new packaging design of tea powder obtained using KE in which tea powder packaging design wi th eye catching strategy has the highest R2 so thai tilled 10 statistical mode l. very import ant and recommended, In order to realize th is design in green color. cup-shaped. with customized typography, In Ihe future be requ ired quanti t!!t ive and qualitative for adap­tive model of packagi ng design of powder shaped fresheners others.

6. Refe rences r I r Ji:lo JR, Y Zh:mg. M Ile!:ulller. 2006. A K(lIIS('/ ~·t ining System for Arfeeti ve Design. EXJlert Systems wi th Appliealions

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business research Monplier,

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