SYLLABUS Statistika Industri

7/23/2019 SYLLABUS Statistika Industri

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SYLLABUs[TIN 107]

Hal. 1/4-1 -

Kode Mata Kuliah (Course Code):

TIN 107

Nama Mata Kuliah (Course Name) :

Statistika Industri / Industrial Statistics

Program Studi (Study Program) : Teknik Industri

Fakultas (Faculty) : Teknik dan Ilmu Km!uter

Mata Kuliah Pra-syarat (CoursePrerequisite) :

" Teri #r$a$ilitas / Probability Theory

Kredit (Credit) : 3 SKS

Kuliah(Lecture% :

&

Tutorial :

0

Praktikum

(Practicum):

0

Revisi (Reision Status): ['"1/(/&/)/*/...] Semester Ga!il"Gea#$(!dd"#en Semester$)

Tahu %kademik &'13"&'14 (%&'*"'+)

(e)turer*s ame:

Tri Susant+ S,+ -T

+,RS. /.S+R0PT0,N

Tis urse !re!ares te !rram !artii!ants n te use statistis in assistinmanaerial deisin makin in te industrial 2rld. S!ei3 t!is t $e 4eredinlude teni5ues untin+ !r$a$ilit6 ter6 and elements statistisinludin $inmial and nrmal distri$utins+ desri!ti4e statistis+ sam!lindistri$utins+ statistial inerential !redures r !!ulatin !arameters+ sim!lelinear reressin and rrelatin anal6sis and time"series reastin.

+,RS. ,2.+T0.S

Te urse !re!ares te !rram !artii!ants n te use statistis in assistinmanaerial deisin makin in te industrial 2rld. S!ei3 t!is t $e 4eredinlude teni5ues untin+ !r$a$ilit6 ter6 and elements statistisinludin $inminal and nrmal distri$utins+ data lletin+ desri!ti4estatistis+ sam!lin distri$utins+ statistial inerential !redures r !!ulatin!arameters+ sim!le linear reressin and rrelatin anal6sis and time"seriesreastin.

U!n m!letin tis urse+ te student 2ill $e a$le t

1. Identi6 and kn2lede teni5ue in statistis(. Be amiliar t use statistis in assistin manaerial deisin makin&. Kn2 te 4arius areas in 2i Statistis industrial 2rk

M.T,/S ,F 0NSTR+T0,NS

8lassrm instrutin nsists letures and !ratial !r$lem sl4in+su!!lemented $6 4isual aids desined t assist te student t suessull6 meette urse9s learnin $:eti4es. Industrial Statistis is a tree"redit urse+si;teen 2eeks in duratin+ nsistin t2 and al leture urs !er 2eek ande;aminatin.

%TT.N/%N+. R.50R.M.NT

In m!liane 2it aademi rules.

PK-PEA-01/r1

1



SYLLABUs[TIN 107]

Hal. &/4-2 -

%SS.SSM.NT

In rder t arri4e at a 3nal rade r te urse+ e4aluatin a student<s!errmane is made as ll2s

=ui>>es ? Assinment &0@-id Term ,;am &0@inal ,;am )0@

Ttal 100@

Students are re5uired t d a term !r:et t $e annuned in te 3rst lass andsu$se5uent !!rtunities.

AttendaneStudents are e;!eted t attend all lasses. An6ne una$le t attend+ !leasentat te instrutr as sn as !ssi$le t make arranements r make"u!2rk i neessar6%. -ake"u! assinments 2ill nl6 $e i4en 2en neessar6due t e;treme irumstanes su as a deat in te amil6+ illness+ et. Testudent is res!nsi$le r an6 missed inrmatin lass ntes+ anduts+ et.%.

M%T.R0%( R.F.R.N+.S %N/ R.50R./ SPP(0.S

Re6uired Te7tLe4ine+ Ste!an+ Kre$iel+ BerensnC Statistis r -anaers+ D t editin+ #earsn,duatin+ In.+ Ne2 Eerse6+ (011.

Re)ommeded Te7tsFFFF

+,RS. ,T(0N.

This section should show topics, sub-topics, specific method of instruction/ delivery nd mteril references!

Sessio

To#i) 8 Su9-to#i)s Methods o delivery

Materialreere)es

1

/ata +olle)tio

H2 statistis is used in $usiness Tesures data used in $usiness Te t6!es data used in $usiness Te $asis -irst ,;el.

Intrdutin+8ne!t+Gisussin

Re,erence

(Te-t ):Cha.ter

(

/ata #resetatioGe4el!in ta$les and arts r aterialdata Ge4el!in ta$les and arts rnumerial data Te !rini!les !r!erl6!resentin ra!s ,;aminatin rssta$ulated data usin te ntinen6 ta$leand side"$6"side $ar art


Re,erence(Te-t ):Cha.ter '

&

Numeri)al des)ri#tive measures -easures entral tenden6+ 4ariatin+ and

sa!e #!ulatin summar6 measures i4enum$er summar6 and B;"and"isker !lts84ariane and 8eient rrelatin.

Intrdutin+

8ne!t+Gisussin

Re,erence(Te-t ):

Cha.ter *

PK-PEA-01/r1



SYLLABUs[TIN 107]

Hal. 3/4-" -

Sessio


Materialreere)es

) asi) Pro9a9ilityH2 t de3ne and e;amine $asi !r$a$ilit6ne!ts Ge3ne nditinal+ :int andmarinal !r$a$ilit6 T use Ba6es< teremt re4ise !r$a$ilities StatistialInde!endene.


Re,erence(Te-t ):Cha.ter +

* /is)rete Pro9a9ilityAddressed te !r$a$ilit6 a disreterandm 4aria$le Ge3ne 4ariane anddisuss its a!!liatin in 3nane T m!ute!r$a$ilit6 rm te $inmial+ #issn andH6!eremetri distri$utin H2 t use tis

distri$utin t sl4e


Re,erence(Te-t ):Cha.ter +

D Normal 8 Sam#lig /istri9utioGe3ne ntinuus distri$utin nrmal+unirm and e;!nential #r$a$ilities usinrmulas and ta$les Te ne!t tesam!lin distri$utin Te im!rtane te8entral Limit Terem ,;amine 2en ta!!l6 diJerent distri$utins.


Re,erence(Te-t ):Cha.ter /

7 0terval T nstrut and inter!ret n3deneinter4al estimates r te mean and te!r!rtin H2 t determine te sam!le si>eneessar6 t de4el! a n3dene inter4al

r te mean r !r!rtin H2 t usen3dene inter4al estimates in auditin.


Re,erence(Te-t ):Cha.ter 0

-IG"S,-,ST,' ,A-INATIN

M y#othesis Testig Te $asi !rini!les 6!tesis testinH2 t use 6!tesis testin t test a meanr !r!rtin Te assum!tin ea6!tesis"testin !redure+ 2 te4aluate tem and te nse5uenes i te6are 4ilated rmulate a deisin rule rtestin a 6!tesis Kn2 T6!e I and T6!e IIerrrs



T;o Sam#le Tests

Use 6!tesis testin r m!arin tediJerene $et2een Te means t2inde!endent !!ulatins Te means t2related !!ulatins Te !r!rtins t2inde!endent !!ulatins Te 4arianes t2 inde!endent !!ulatins.

Intrdutin+

8ne!t+Gisussin

Re,erence

(Te-t ):Cha.ter 2

10 % N , % Te $asi ne!ts e;!erimental desinH2 t use te ne"2a6 anal6sis 4arianet test r te diJerenes amn te means se4eral ru!s H2 t use te t2"2a6anal6sis 4ariane and inter!ret te

interatin.



11 +hi S6uare 8 No Parametri) testsH2 and 2en t use te i"s5uare test rntinen6 ta$les H2 t use te


Re,erence(Te-t *):Cha.ter

PK-PEA-01/r1



SYLLABUs[TIN 107]

Hal. 4/4-# -

Sessio


Materialreere)es

-arasuill !redure r determinin !air"2ise diJerenes 2en e4aluatin mre tant2 !r!rtins H2 and 2en t use te-Nemar test H2 and 2en t usenn!arametri tests

1( Sim#le (iear RegressioUsin reressin anal6sis t !redit te4alue a de!endent 4aria$le $ased n aninde!endent 4aria$le Te meanin tereressin eients $0 and $1 ,4aluatinte assum!tins reressin anal6sis andkn2 2at t d i te assum!tins are

4ilated -akin inerenes a$ut te sl!eand rrelatin eient ,stimatin mean4alues and !redit indi4idual 4alues


1& Multi#le RegressioH2 t de4el! a multi!le reressin mdelH2 t inter!ret te reressin eientsH2 t determine 2i inde!endent4aria$les are mst im!rtant in !reditin ade!endent 4aria$le H2 t use 5uadratiterms in a reressin mdel H2 t measurete rrelatin amn inde!endent4aria$les.


1) Time Series Fore)astig

Gisussed te im!rtant reastin#errmed smtin data seriesGesri$ed least s5uare trend 3ttin andreastin Addressed time seriesreastin Addressed autreressi4emdels Gesri$ed !redure r sina!!r!riate mdels.

Intrdutin+

8ne!t+Gisussin

INAL ,A-INATIN

/i#ersia#ka oleh (Pre.ared by < /isahka oleh (Certi4ed by)

Nama Name% Ea$atan

Position% Tanal 5ate%

[$oordintor mt $ulih%

Nama Name% Ea$atan

Position% Tanal 5ate%

&Ketu Pro'rm (tudi%

PK-PEA-01/r1

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SYLLABUS Statistika Industri