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1 USE OF ICR TECHNOLOGY FOR 1 USE OF ICR TECHNOLOGY FOR

1 USE OF ICR TECHNOLOGY FOR - PowerPoint Presentation

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1 USE OF ICR TECHNOLOGY FOR - PPT Presentation

THE INDONESIA 2010 POPULATION CENSUS BPS Statistics Indonesia New York February 2011 Background Population census in Indonesia is held every ten year Indonesia has the fourth largest population and the largest archipelago ID: 652909

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Slide1

1

USE OF ICR TECHNOLOGY FOR THE INDONESIA 2010 POPULATION CENSUS

BPS Statistics Indonesia

New York, February 2011Slide2

Background

Population census in Indonesia is held every ten year.Indonesia has the fourth largest population and the largest archipelago.History of data processing for population census1971 - OMR Technology, mainframe1980 – data entry, mainframe1990 – data entry, mainframe, distributed2000 – OCR technology, PC clusters

2010 – ICR and mobile technology, PC clusters.

2Slide3

Data Processing Centers

Located in 33 Provincial Statistics Offices.3

VPNSlide4

4

Flow of

Documents in the FieldsFielDS

ENUMERATOR

KORTIM

BPS

DISTRIC

SP2010 L, KBC, RT, ART

Doc Pool

Doc Pool

SP2010 L,

KBC, RT, ART

BPS

KEC

DESA

Drop Off

Receiving & Handling

Queuing

Unpack &

Checking

Repack

Expedition

Entry SP2010-L

PROVINCE

Drop Off

Receiving & Handling

Queuing

Unpack

Repack

Expedition/

Next Queuing

Entry Coding

BPS

BPSSlide5

5

Flow of Document in DPC

DISTRICT

RECEPTION

SERVICE

QUEUE ROOM

DOC PREP

REPACKING

SCANNING

DOCUMENT STORAGE

DPC

CORRECTION

COMPLETION

VALIDATION

DISTRICT

DISTRICT

DISTRICT

STAGING

STAGINGSlide6

6

DPC Personnel

Box

sorting

In

Queuing Room

RECEPTION AREA

1) Download Box

2) Put Boxes in the trolley

3) Input received Data

4) Arrange box in Queuing Room

Database Box & Block Sensus

Database

CODING PICKUP OFFICER

5) Take box from queuing room

6) Registration of pick up box

7) Deliver box es to Coding Editing Supervisor

CODING EDITING SUPERVISOR

8) Boxes distribution ke petugas Coding Editing

11.2) Check & Authorization on any pages discrepancies

13) Update data box that finished coding editing

CODING EDITING OFFICER

9) Box opening

10) Unbind documents

11) Pages count

12) Coding Editing

11.1) Reporting of discrepancies pages

Sorting Boxes in

Scanning Queue

PROVinceSlide7

7

Flow of Processing Documents

FIELDS

DROP-OFF SERVICE

STAGING

DOC PREP

REPACKING

FUMIGATION

DOCUMENT STORAGE

DPC

Drop Off

Receiving & Handling

Registering

Sorting

Unpack &

Checking

Cutting

SCANNING

DOCUMENT

PREPARATION

CORRECTION & COMPLETION

VALIDATIONSlide8

8

Flow of Work in DPC : Scanning & Warehouse

Box Scanning Queue

SCANNING PICKUP OFFICER

1) Pickup box from Scanning Queue

2) Pickup box registration

3) Deliver box to Scanning Supervisor

Database Box & Block Sensus

Database

SCANNING OFFICER

5) Register # box

6) Scan

docoments

REPACKING OFFICER

7) Repacking box

8)Register finished

repack

STORAGE OFFICER

- 9) Trolley from Repacking to Doc Storage

STORAGE OFFICER

12) Place box refer to Put-Away

STORAGE ADMIN

10) Register box

11)

Cetak

Put-Away

Penyimpanan

DATA CAPTURE

SERVER

PROVINCESlide9

9

Flow of Data in DPC

DPC

BPS

BPS

Server

INFORMATION TECHNOLOGY

CAPTURE

SYSTEM

SUPPORT

APPS

Staging

Clean

Data

Data Tabulasi

Correction

&

Completion

Validasi

Data Validasi

Data Staging

Image + data

RECEPTION

SERVICE

DOCUMENT STORAGE

Status box

Lokasi box

Scanning

Image + data

RELEASESlide10

10

Batching SystemDocument batch1 SP 2010 KBC

Consist of = n SP 2010 RTEach RT consist of = n SP 2010 ARTSlide11

11

Capture ProcessFixed Form ApproachHigh speed Auto classification & separationAccurate High Speed ICR engineAccurate High Speed OMR engineConsistency check capabilityInter-page business rule validationMultipage business rules validationLow false positive & TuningSlide12

12

Solution ComponentsSlide13

13

Solution ComponentsGuillotinePCsServerScannerSoftware Data CaptureTraining & troubleshootingTemplate Development Distribution, installation & implementation in each DPC (33 locations)Slide14

14

Fujitsu Scanner Fi-6800Scanner Speed : 130 ppm 300 dpi Duty Cycle : 100.000 pages/ dayResolution : 600 dpiFeeder Capacity : 500 pagesPaper Size : up to A3Imprinter capability : Pre and PostSlide15

15

Guillotine, workstation, scannerSlide16

16

Data Capture Server, Validation ServerSlide17

17

Server Console, Server RacksSlide18

18

Scanner Allocation#

DPC - BPS Offices

No. of Docs

Scanner allocation

1

NAD

4.350.904

1

2

Sumatera Utara

12.336.180

2

3

Sumatera Barat

4.413.328

1

4

Riau

5.738.708

1

5

Jambi

2.961.468

1

6

Sumatera Selatan

7.534.780

1

7

Bengkulu

1.785.968

1

8

Lampung

7.841.096

1

9

Kep Bangka Belitung

1.138.932

1

10

Kepulauan Riau

1.612.044

1

11

DKI Jakarta

10.508.444

2

12

Jawa Barat

37.095.756

6

13

Jawa tengah

30.000.000

5

14

DI Yogyakarta

4.399.192

1

15

Jawa Timur

34.511.536

5

16

Banten

11.114.704

2

 

 

Slide19

19

Scanner Allocation#

DPC - BPS Offices

No. of Docs

Scanner Allocation

17

Bali

3.900.360

1

18

Nusa Tenggara Barat

5.485.668

1

19

Nusa Tenggara Timur

3.998.896

1

20

Kalimantan Barat

4.291.276

1

21

Kalimantan Tengah

2.393.316

1

22

Kalimantan Selatan

3.956.552

1

23

Kalimantan Timur

3.513.608

1

24

Sulawesi Utara

2.669.324

1

25

Sulawesi Tengah

2.301.920

1

26

Sulawesi Selatan

7.745.836

2

27

Sulawesi Tenggara

2.158.264

1

28

Gorontalo

1.142.544

1

29

Sulawesi Barat

1.006.684

1

30

Maluku

1.082.632

1

31

Maluku Utara

715.672

1

32

Papua Barat

837.400

1

33

Papua

2.400.544

1

 

 

254.579.368

51Slide20

20

Server, PC Allocation#

DPC - BPS Offices

Server

PC

1

NAD

2

30

2

Sumatera Utara

2

84

3

Sumatera Barat

2

33

4

Riau

2

41

5

Jambi

2

22

6

Sumatera Selatan

2

52

7

Bengkulu

2

14

8

Lampung

2

54

9

Kep Bangka Belitung

2

11

10

Kepulauan Riau

2

14

11

DKI Jakarta

2

73

12

Jawa Barat

2

344

13

Jawa tengah

4

237

14

DI Yogyakarta

4

33

15

Jawa Timur

2

284

16

Banten

4

77

 

 

Slide21

21

Server, PC Allocation#

DPC - BPS Offices

Server

PC

17

Bali

2

28

18

Nusa Tenggara Barat

2

40

19

Nusa Tenggara Timur

2

28

20

Kalimantan Barat

2

30

21

Kalimantan Tengah

2

18

22

Kalimantan Selatan

2

28

23

Kalimantan Timur

2

25

24

Sulawesi Utara

2

20

25

Sulawesi Tengah

2

18

26

Sulawesi Selatan

2

53

27

Sulawesi Tenggara

2

17

28

Gorontalo

2

11

29

Sulawesi Barat

2

10

30

Maluku

2

10

31

Maluku Utara

2

8

32

Papua Barat

2

9

33

Papua

2

19

 

 

76

1.775Slide22

22

Networking#

DPC - BPS Offices

Switch 48 node

Cable (m)

1

NAD

1

380

2

Sumatera Utara

2

940

3

Sumatera Barat

1

410

4

Riau

1

490

5

Jambi

1

300

6

Sumatera Selatan

2

620

7

Bengkulu

1

220

8

Lampung

2

640

9

Kep Bangka Belitung

1

190

10

Kepulauan Riau

1

220

11

DKI Jakarta

2

830

12

Jawa Barat

8

3,780

13

Jawa tengah

6

2,650

14

DI Yogyakarta

1

410

15

Jawa Timur

7

3,140

16

Banten

2

870

 

 

Slide23

23

Networking#

DPC - BPS Offices

Switch 48 node

Cable (m)

17

Bali

1

360

18

Nusa Tenggara Barat

1

480

19

Nusa Tenggara Timur

1

360

20

Kalimantan Barat

1

380

21

Kalimantan Tengah

1

260

22

Kalimantan Selatan

1

360

23

Kalimantan Timur

1

330

24

Sulawesi Utara

1

280

25

Sulawesi Tengah

1

260

26

Sulawesi Selatan

2

630

27

Sulawesi Tenggara

1

250

28

Gorontalo

1

190

29

Sulawesi Barat

1

180

30

Maluku

1

180

31

Maluku Utara

1

160

32

Papua Barat

1

170

33

Papua

1

270

 

 

39

21.400Slide24

24

Data Capture Software

KofaxSlide25

25

Scan

Recognition

Correction

Completion

Release

Kofax

Implementation OverviewSlide26

26

Software Data Capture ImplementationDoc Template Management Template RegistrationTemplate SettingRegistration Point

Field DefinitionField FormattingMulti-Engine VotingDictionaryData Look-UpBusiness RulesIntegrity among pagesSlide27

Correction

Validation

Release

Recognition

Scanning

Quality Check

Provincial Statistics Office

Monitoring

Compiled Data

RBL

Data Processing Context

27

Data Entry

Quality Check

Municipality Statistics Office

Head Quarter

RBL

Listing

Statistical Coordinator

Validate, Summarize

Send SMS

KBC C1

Validate, Summarize

Send SMS

Census

Field WorkSlide28

Capture Process Flow

Classification

Recognition

PC Document

Review

PC & Scanner

Server Data Capture

PC Correction

PC Completion

Server Database

PC QUALITY

CONTROLSlide29

29

Document PreparationObjective:To cut the side of forms booklet using paper guillotinePreparing docs for scanning processSlide30

30

Kofax - ModuleScanning :Scan batchPage counting of document batch in scanning processQC:

System ensure that the pages of the doc batch match with the registered sum of pages entry before scanning.Classification:System will classify based on templateDocument Review:Unrecognized doc will appear in this moduleOperator may re-arrange, delete and re-scan the docSlide31

31

Kofax - Module

Recognition: Data extraction from processed form unrecognized Data for Correction & Completion Correction:Character correction which un-recognized by system on below a set of confidence level. Correction made field by field. Completion:To complete all correction on one set of document in a document batch refer to validation and business rules that have set in the system

Release

:

Exporting image to predefine folder and data to predefine databaseSlide32

32

Kofax - CorrectionSample Screen:Slide33

33

Kofax – CompletionSample ScreenENTRY PANEL IN TABULAR FORMAT TO CATEGORISED FIELDSlide34

34

Kofax – Completion

LOCATION ID CHECKING , DATA LOOKUP TO DATABASE Slide35

35

Kofax – Completion

VERIFICATION

CHILD AGE W/ BIOLOGICAL MOTHER

VERIFICATION

CHILD NATIONALITY VS BIOLOGICAL FATHER &/ MOTHER

Business Rules

Business RulesSlide36

36

Kofax - ReleaseObjective:Deliver image to folder in the File ServerDeliver data to database Staging BPSScope:

Write data to Database StagingSlide37

37

Network Architecture of Data CenterSlide38

38

Network IntegrationSlide39

Population of Indonesia based on the Census, May 2010

(preliminary figures, Released Aug 2010)Male

(000)Female(000)

Male + Female

(000)

119

,

5

08

118

,

0

48

237

,

5

56

39Slide40

Thank You

40