Contoh Presentasi Pembelajaran Berbasis Riset (PBR) Mata Kuliah Pemodelan Sistem

SYSTEM MODELLING PROJECT- Aisha Adilla- Givanny Permata Sari- Hanny Riana- Latifa Ayu Lestari- Salma Nabila Hadi- Sarah Marsha Davinna

SquadBPJ

• BPJSquad consists of 6 female students from the Department of Industrial Engineering, Universitas Indonesia. This team was formed for the project of Systems Modeling class taught by Mr. Arry Rahmawan. In this project, we were asked to do research on the system of the BPJS Program in a public hospital, in our case RSUD Pasar Minggu.

Salma Nabila

Givanny Permata

Latifa Ayu

Aisha Adilla

Sarah Marsha

Hanny Riana

TEAM PROFILESquadBPJ

DETERMINETHEPROBLEM

MODELCONCEPTUALIZATION

DATAGATHERINGANDANALYSISIS

MODELCONSTRUCTION

VALIDATIONANDVERIFICATION

QUESTIONS

ANSWERS

CONCLUSIONAND

SUGGESTIONOUTPUTANALYSIS

OUTLINE

01

• Definingtheproblem,objectives,actualcondition,andscopeofourresearchproject

DEFINE THE PROBLEM

What?Serviceandqueuesystem

PROBLEM DEFINITION

Who?BPJSPatients(Bothnewandoldmembers)

When?Duringpeaktime

(Monday,Wednesday,andThursday)

Where?RSUDPasarMinggu

Why?Massivenumberof BPJSpatientsin

Jakarta

5

• Definingtheproblemwith5Wtools

6

PROBLEM DEFINITION• Definingthehypothesisoftheproblem

And how it will affects?If the management of RSUD Pasar

Minggu ignores this problem, the BPJS patient will feel uncomfortable while treating their disease in this hospital due to dissatisfaction of the hospital’s

BPJS system.

What are the symptoms?

Since RSUD Pasar Minggu has accepted BPJS patients, there have been problems in

the form of a massive amount of BPJS patients resulting in a long queueing time

in the registration, polyclinic, and pharmacy lines that makes patients

dissatisfied.

7

RESEARCH OBJECTIVES• Definingtheobjectivesofourresearchproject

• ReducingthequeuingtimeofBPJSatRSUDPasarMinggu

• ReducingtheservicetimeofBPJSatRSUDPasar Minggu

• Increasingcustomersatisfaction

• Answeringthequestionsthathavebeengiveninclass

02

• RepresentingtherealBPJSsystematRSUDPasar Minggu asaflowchart

MODELCONCEPTUALIZATION

MODEL CONCEPTUALIZATION• Usingaflowchartasarepresentationoftherealsystem

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03

• Explainingthemethodusedfordatacollection,thetypesofdata,andanalysisofthedatausingStatFit

DATA GATHERINGAND ANALYSIS

DATA COLLECTION

DATA COLLECTION• Explainingthedatacollectionmethodandthedatatypes

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Directobservation

Interview DirectMeasurement

Books /Journals

Inter-arrivalTime

13

DATA COLLECTION• Explainingaboutthedatathatwecollected

ArrivalRate

Service TimeandServiceRate

QueueTime

RegistrationTime

DATA COLLECTION• Explaininghowweknowthepeakdaysofthesystemandthesamplingmethod

14

We used direct observation and interview to know what the peak days are of the BPJS system at RSUD PasarMinggu

From direct observation, we got Monday, Wednesday, and Thursday as a peak day. This was also proven by the result of interviews with hospital management. The average population observed in Monday, Wednesday, and Thursday is 222 patients (the population from polyclinics are most influential). We get 144 samples from Slovin’s Formula.

We used stratified random sampling because the difference of cumulative from each registration and polyclinic.

Stratified Random SamplingFrom 144 samples, Registration Samples • BPJS Lama= 84% from population (121 patients)• BPJS Baru= 16% from population (23 patients)Polyclinics Samples• Penyakit Dalam= 44% from population (63 patients)• Jantung= 36% from population (51 patients)• Syaraf= 20% from population (29 patients)

• Based on direct observation (service time and arrival rate), 80% of the service time and arrival rate comes from 20% of the polyclinics: Penyakit Dalam, Jantung, and Syaraf

DATA COLLECTION• Usingpareto diagramtoknowwhichpolyclinicshouldbeobserved

15

0%20%40%60%80%100%120%

0%5%

10%15%20%25%30%35%40%

Jumlah Kedatangan Per Periode Waktu

% Kumulatif %

0%

20%

40%

60%

80%

100%

120%

0%

5%

10%

15%

20%

25%

Waktu Pelayanan

% Kumulatif %

DATA COLLECTION• Summingupalldatatofindmeanandstandarddeviation

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REGBPJSLAMA Mean StandarDevDetik Menit Detik Menit

WaktuantarKedatangan 27.3 0.46 20 0.33Waktu Pelayanan (4server) 65.1 1.09 20.2 0.34

WaktuTunggu 6694 111.57 278.8 4.65

REGBPJSLAMA JumlahOrang/JamMean

WaktuantarKedatangan 131.87WaktuPelayanan 55.30

REGBPJSBARU Mean StandarDevDetik Menit Detik Menit

Waktu antar Kedatangan 224.30 3.74 213.30 3.56WaktuPelayanan(3server) 199.3 3.32 58.7 0.98WaktuTunggu 1413.9 23.565 766.6 12.78

REGBPJSBARU JumlahOrang/JamMean


FARMASI Mean StandarDevDetik Menit Detik Menit

WaktuantarKedatangan 163.5 2.73 154.4 2.57WaktuPelayananScanBarcode 9.201 0.15 4.091 0.07PelayananMemberiObat 139.6 2.33 30.16 0.50WaktuTunggu 5890 98.16667 2482 41.37

FARMASI JumlahOrang/JamMean

TingkatKedatangan 22.02TingkatPelayananServer1 391.26Server2 25.79

DATA COLLECTION• Summingupalldatatofindmeanandstandarddeviation

17

POLIJANTUNG Mean StandarDevDetik Menit Detik Menit

WaktuantarKedatangan 178 2.97 116 1.93WaktuPelayanan(2server) 330.4 5.51 56.8 0.95Waktu Tunggu 9204 153.4 1796 29.93

POLIJANTUNG JumlahOrang/JamMean

TingkatKedatangan 20.22TingkatPelayanan 10.90

POLIPENYAKITDALAM Mean StandarDevDetik Menit Detik Menit

WaktuantarKedatangan 160.1 2.67 163.6 2.73Waktu Pelayanan (2server) 578.7 9.65 192.1 3.20WaktuTunggu 4349 72.48 1893 31.55

POLIPENYAKITDALAM JumlahOrang/JamMean


POLISYARAF Mean StandarDevDetik Menit Detik Menit

WaktuantarKedatangan 233.28 3.89 197.66 3.29WaktuPelayanan(2server) 333.3 5.56 55.57 0.93WaktuTunggu 4526.0 75.43 695.80 11.60

POLISYARAF JumlahOrang/JamMean

TingkatKedatangan 15.43TingkatPelayanan 10.80

DATA ANALYSIS

DATA ANALYSIS• Identifyingthetypeofdistributionofeachdata

19

Normal

Normal

BPJS Lama

Inte

r-ar

rival

Ti

me

Serv

ice

Tim

e


20

Normal

Wai

ting

Tim

e

DATA ANALYSIS

21

Exponential

Exponential

BPJS Baru

• Identifyingthetypeofdistributionofeachdata

Inte

r-ar

rival

Ti

me

Serv

ice

Tim

e


22

Normal

Wai

ting

Tim

e

DATA ANALYSIS

23

Normal

Normal

Poli Penyakit Dalam


Wai

ting

Tim

eSe

rvic

e Ti

me


24

Normal

Normal

Poli Jantung

Wai

ting

Tim

eSe

rvic

e Ti

me

DATA ANALYSIS

25

Normal

Normal


Wai

ting

Tim

eSe

rvic

e Ti

me

Poli Syaraf

DATA ANALYSIS

26

Normal

Normal

Farmasi


Wai

ting

Tim

eSe

rvic

e Ti

me

of S

cann

ing

Bar

code

DATA ANALYSIS

27

Normal


Serv

ice

Tim

e of

Giv

ing

Med

icin

e

04

• IllustratingabouthowaProModel modelisbuilttorepresenttherealsystem

MODEL CONSTRUCTION

MODEL CONSTRUCTIONIllustratinghowaProModel modelisbuiltrepresenttherealsystem

29

ENTITIES

MODEL CONSTRUCTION

30

IllustratinghowaProModel modelisbuiltrepresenttherealsystem

LOCATIONS

MODEL CONSTRUCTION

31


ARRIVALS

MODEL CONSTRUCTION

32


PROCESSING

MODEL CONSTRUCTION

33


ARRIVALCYCLES

MODEL CONSTRUCTION

34


ATTRIBUTES

MODEL CONSTRUCTION

35


USERDISTRIBUTION

MODEL CONSTRUCTION

36


• Final ProModel for the BPJS system of RSUD Pasar Minggu

When model pause When model run

05

• Thevalidationandverificationofmodelconceptualizationandcomputermodel

VALIDATION AND VERIFICATION

VALIDATION

VALIDATION• Modelconceptualizationvalidation

39

Trace Validity Face Validity

Trace in PromodelUsing a feature in ProModel(trace) to trace the truth of the model logic and computer model (debugging)

Validity in Real LifeChecking the validity of model conceptualization by asking people who know the system well and trusted

Determining the truth of model flow diagram or model logic mechanism


40

Trace Validity


41

Weinterviewedpeoplefrominformationcentreandalsosecurity

whoisondutyandalwaysobservethequeuingsystemofBPJSpatientsin

RSUDPasar MingguFace Validity

Interviewrecordingattached

VALIDATION• ProModel validation

42

Comparing with Queuing Theory

Watching theAnimation

ExtremeCondition Test

RunningTraces

Comparing output from the simulation with queuing theory

Watching the computer model that has conducted

Testing the model using 2 extreme conditions

Stage of processes are traced using the processing logic model to be compared with the actual model


44

Comparing with Queuing Theory

VALIDATIONOF BPJSBARUPROMODELWITHQUEUINGTHEORYCALCULATION

Arival Rate 4.545455

Service Rate 14.66667

AverageUtilization Rate 0.3099174

TheProbability SysteminEmptySituation 73.342039%

AverageNumberofPatientinQueuing 44.43555

AverageNumberofPatientinSystem 44.745468

Average Patient’sWaitingTimeinQueuing 9.7758211

Average Patient’sWaitingTimeinSystem 9.8440029


45

Watching the Animation


46

• Total entities: 22200

Extreme Condition Test

• Total entities: 0


47

Running Traces

VERIFICATION

VERIFICATION• Modelverification

49

Watching theAnimation

Using Trace andDebugging Facilities

Reviewing theModel Code

Visual verification whether the model

running has been right

Checking for code errors or inconsistency in the statistics results

• Trace : chronologically describe what’s happening during the simulation

• Debugger : showing the stages of the processes in the simulation

• Trace & Debugger enable us to look deeper what’s happening in the simulation


50

Watching the Animation


51

Reviewing the Model Code


52

Reviewing the Model Code (cont’d)


53



54


(1) (2)


55

• There are no bugs, so the model can run perfectly

Running Trace and Debugging Facilities

06

• ShowingthestatisticsresultsofProModel

OUTPUT ANALYSIS

OUTPUT ANALYSISShowingthestatisticsresultsofProModel

57


58


59

07

• AnsweringthequestionsthathavegivenbyMr.Arry Rahmawan

QUESTIONS & ANSWERS

ANSWER TO THE 1ST QUESTION

61

• Whatisthebestlineformation?• SingleLine->MultiServer

SquadBPJ

62

• Wherearetheworstbottlenecksofsystem?

SquadBPJANSWER TO THE 2ND QUESTION

BPJSBaru Registration• Alotofthenewpatientsdonotknowaboutthedocumentstheymustbringinordertoregistersothatsometimestheyhavetogobackhomeorgotophotocopystationifthere’smissingdocuments.Thisaffecttheregistrationtimesincesometimestheyhavebeencalledbutthey’restillsomewhereelse.

BPJSLamaRegistration• Lackofserver&ineffectivequeuingposition

Poli Penyakit• Everyserverhasdifferentopeningtimewherealotofpatientshavebeenwaiting

Pharmacy• Thereisnospecificjobforeachemployees&sometimesthereisdowntimesintheDoctorssendthemedicinereceiptbyserveronline

63

• Howmanystaffshouldbeassignedtoreachtheobjectivewiththelowestpossiblecost?

SquadBPJANSWER TO THE 3RD QUESTION

BPJSBaru• 4staff

BPJSLama• 7staff

Poli Penyakit• Penyakit Dalam 8staff,Syaraf 4staff&jantung 4staff

Pharmacy• 2staff

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• Whatarethenewandmosteffectivebusinessprocessideasforthehospitaltoreachtheobjective?

SquadBPJANSWER TO THE 4TH QUESTION

BPJSLama• Addservers&services,&giveclearway-findinginstructionforpatients

Poli Penyakit Dalam• Openroomthatusedtobeunused,openeverycheckingroomatthesametime(7.30a.m.)&makethefirstlineaspriorityseat

Poli Jantung• Openeverycheckingroomatthesametime(7.30a.m.)&make8priorityseat

Poli Syaraf• Openeverycheckingroomatthesametime(7.30a.m.)

32

• Othersolutionsthatshouldbeconsidered

SquadBPJANSWER TO THE 5TH QUESTION

Makeaclearway-finding&signage

system

MakeinformationboarddetailingtheproceduresofBPJS

registration

Utilizingthewebsiteforreal-timewaitinglineinformationat

thehospital

Makingaclearjobdescriptionfor

resourcestoavoididlehumanresources

08MODEL IMPROVEMENT

ANALYSIS MODEL IMPROVEMENT

32


68

TheDataAfterImprovement(WaitingTime)BPJSLAMA =79.23minBPJSBARU =40.34minPOLIPD =68.71minPOLISYARAF =60.86minPOLIJANTUNG =77.21minFARMASI =50.31min

TheDataBeforeImprovement(WaitingTime)BPJSLAMA =112.4minBPJSBARU =47.71minPOLIPD =98.67minPOLISYARAF =71.48minPOLIJANTUNG =155.59minFARMASI =196.42min

69


09

• Concludingourprojectresearch

CONCLUSION

CONCLUSIONConcludingourprojectresearch

71

• Theprocessoffindingsolutionsthroughmakingmodelsinvolvesmakingaconceptualmodelbasedontherealworld andthenacomputermodelbasedontheconceptualmodel.

• TheBPJSsysteminRSUDPasar Minggu consistsofBPJSLamaregistration,BPJSBaru registration,polyclinic,andpharmacy.

• Thebottleneckofthesystemrelativetothenumberofentriesis PoliJantung.

• Weimprovedthesystembyaddingserversandintroducingapunctualitypolicyfordoctorsandemployees.

THANK YOU

- Aisha Adilla (1406606152)- Givanny Permata Sari (1406606070)- Hanny Riana (1406606341)- Latifa Ayu Lestari (1406606354)- Salma Nabila Hadi (1406553133)- Sarah Marsha Davinna (1406553285)

SquadBPJ

Date post:	05-Apr-2017
Category:	Education
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