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Indonesia Census Data Processing

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    1

    Census Data Processing

    In BPS Statistics Indonesia

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    Vision: BPS is the provider of quality statistics. A non-departmental government institution.

    Directly responsible to the President of the Republic of Indonesia.

    Headed by a director general.

    - Provide data to the government, and the public.- Assist statistics divisions of government ministries and other

    institutions, in developing the statistical system they need for settingup work programs and periodic reporting.

    Develop and promote standards to be incorporated in the

    implementation of statistical techniques and methods. Provide necessary services in the field of education and training in

    statistics.

    Establish cooperation with international institutions and othercountries for the benefit of Indonesias statistical development.

    About BPS Statistics Indonesia

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    Director General

    Bureauof Program

    Management

    Bureauof Personnel

    & Legal Affairsl

    Bureauof Finance

    Bureauof General

    Affairs

    Principal Secretary

    Deputy DGfor SocialStatistics

    Deputy DGfor Methodo

    logy and StatisticalInformation

    Deputy DGfor Natio-

    nal Account andStatistical Analysis

    Deputy DGfor Distributionand Services

    Statistics

    Directorate forDev of Census &

    SurveyMethodology

    Directorateof Statistical

    Dissemination

    Directorateof Statistical

    Information System

    Directorateof Population

    Statistics

    Directorateof Social Welfare

    Statistics

    Directorateof Social Resilience

    Statistics

    Directorateof Distribution

    Statistics

    Directorateof Price

    Statistics

    Directorate ofFinancial, IT, and

    Tourism Statistics

    Directorateof Production

    Account

    Directorateof Consumption

    Account

    Directorateof Statistical

    Analysis

    Education andTraining Center

    Deputy DG

    forProduction

    Statistics

    Institute ofStatistics

    BPS RegionalStatistics Offices

    MainInspectorate

    InspectorateArea I

    InspectorateArea II

    InspectorateArea III

    Directorate ofAnimal

    Husbandry,Fishery,

    And ForestryStatistics

    Directorateof IndutrialStatistics

    Directorate ofFood Crops,Horticultural,and Estate

    Crops Statistics

    Organizational Structure

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    There are

    33 BPS provincial offices

    344 BPS regency offices and

    96 BPS city offices.they are the vertical representative offices of BPS.

    At sub-district level, BPS employs a statistical staff (sub-district level Statistical Coordinator).

    Technically and administratively, BPS regional offices aredirectly under the control of BPS-Statistics Indonesia.

    The number of BPS staffs is 13,465 (as July 2008)

    1,466 persons in BPS Head Quarter (11%)

    11,999 persons in BPS-Regional Offices (89 %).

    Provincial and Regional Offices

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    ADMINISTRATION

    DIVISION

    INTERNAL AFFAIRSSUB DIVISION

    PERSONNELAND LEGAL AFFAIRS

    SUB DIVISION

    FINANCESUB DIVISION

    PROGRAMMANAGEMENT

    SUB DIVISION

    ASSETS

    MANAGEMENT

    SUB DIVISION

    PRODUCTIONSTATISTICS

    DIVISION

    DISTRIBUTIONSTATISTICS

    DIVISION

    REGIONAL ACCOUNTAND STATISTICAL

    ANALYSIS DIVISION

    SOCIALSTATISTICS

    DIVISION

    DATA PROCESSING

    ANDDISSEMINATION

    DIVISION

    AGRICULTURALSTATISTICS

    SUB DIVISION

    CONSUMER

    AND WHOLESALE

    PRICE STATISTICSSUB DIVICION

    PRODUCTIONACCOUNTS

    SUB DIVISION

    DEMOGRAPHIC

    AND HOUSEHOLD

    STATISTICSSUB DIVISION

    NETWORKING

    AND STATISTICAL

    REFERENCESUB DIVISION

    INDUSTRIALSTATISTICS

    SUB DIVISION

    FINANCIAL

    AND PRODUCERPRICE STATISTICS

    SUB DIVICION

    CONSUMPTIONACCOUNTS

    SUB DIVISION

    MAN POWERSTATISTICS

    SUB DIVISION

    DATA PROCESSING

    INTEGRATION

    SUB DIVISION

    MINING, ENERGY

    & CONSTRUCTION

    STATISTICSSUB DIVISION

    COMMERCE

    & SERVICES

    STATISTICSSUB DIVICION

    STATISTICAL

    ANALYSIS

    AND DEVELOPMENTSUB DIVISION

    SOCIAL WELFARESTATISTICS

    SUB DIVISION

    DISSEMINATION

    & STATISTICAL

    SERVICESUB DIVISION

    CHIEF OF BPS

    PROVINCIAL OFFICE

    ProvincialLevelOrganization

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    Population census: in the years ending with 0. previous population census: in 1961, 1971, 1980,

    1990, 2000. The next Population Census would be in 2010

    Agricultural census: in the years ending with 3. previous agricultural census: in 1983, 1993, 2003.

    Economic census: in the years ending with 6.

    previous economic census: in 1986, 1996, 2006.

    Census in Indonesia

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    Using Mainframe:

    (NEC ACOS 500 in 1980)

    (NEC ACOS 1520 in 1990)

    Batch Processing (not interactive)

    Data Processing Support forPopulation Census 1980, 1990

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    1. Decentralized & Distributed Data Processing:

    Encourage End-users Computing: subject matter units are

    entitled to process their own survey under coordination ofdata processing division.

    Develop application in-house by HQ & decentralize operationto Regional offices.

    Implement Distributed / Client-Server Data Processing

    Model.2. ITDepartment (Directorate of SIS) focuses on IT

    infrastructures & complex DP Systems such as Censuses.

    8

    Data Processing Policy(after elimination of Mainframe)

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    PC based Client-Server Data

    Processing

    Using Scanner: Kodak DS3500

    Speed: 3500 forms / hour

    Use of OMR, ICR: Nestor

    Reader

    ICR Ascent-Capture: started in

    2003 (Census of Agriculture).

    Data Processing Support forPopulation Census 2000

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    PC 2000 Data Capture Stages

    Scan documents (produce image file)

    Recognize image

    (produce ascii characters)

    Verification & Correction (operators decidecharacters ambiguous to recognize engine)

    Completion completeness check

    Release save into database

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    Experience from PC 2000 Unexpected low quality of enumerators handwriting torecognize by ICR Unable to recognize characters correctly

    Rejected too many values (too high confidencelevel)

    Accepted incorrect values (too low confidencelevel) realized from tabulation output

    Should check-digit help to increase accuracy ? Ineffective learning engine

    In a LAN environment using MS-SQl Server, 4concurrent scanning processes slow down the whole DPactivities consisting of 3 recognize stations, 10correction stations,and 25 computer editing stations.

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    Experience from PC 2000

    Extra work to erase & rewrite Census Form Powder from rubber eraser stick on Census

    forms & affected Scanner performance

    Costly maintenance effort of Scannerswhich spread over all provinces Relatively high cost (investment) for Data

    Capture H/W& S/W

    However, Data Capture using scanner wasable to shorten Data Processing CompletionTime.

    It was not easy to find out well motivatedenumerators & Data Capture operators.

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    PC2010 Data Processing Plan

    Main Documents: Short Form : L for Listing & basis for 10%

    sample, using data entry (DE),: C using scanner, complete

    enumeration (100%) of households

    & members

    Long Form : S using data entry / scanner,10% sample.

    Estimation:

    No of Districts / Regency = 456

    No of Sub-districts = 5,901

    No of villages = 72,084

    No of Census Blocks = 658,308 (in year 2000)

    No of smallest Administrative Areas (SLS) = 900,000

    No of households = 64 million

    No of population = 236 million

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    Document:

    Batch Control

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    Document C

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    PC2010 Data Processing Plan (cont)

    Issues on existing Scanners:

    Kodak DS3500 procured for PC 2000: 79 units

    About 60 % of them need spare-parts replacement

    Spare-parts are discontinued. (Dicom Singaporeeager to reserve all available spare-parts to BPS)

    Running out of Ascent Capture Counter (dongle) limit

    Operable uncertainty for PC 2010

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    1. Utilize scanners with character recognitiontechnology (OMR, OCR, ICR), focused on OMR.

    2. Expect ICR with better Learning Engine capability.

    3. Procurement of Scanning H/W and S/W in 2009.

    4. Formation of 8 Data Processing Centers.

    5. Utilize SMS facility for transmitting and accessingdata, as well as monitoring data collection activities.

    6. Utilize web-based application for monitoring dataprocessing activities.

    7. In 2008, all of 33 province level offices and some(34) district / city level offices are connected usingVirtual Private Network (VPN).

    17

    PC 2010 Data Processing Strategy

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    8 Data Processing Centers

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    SMS / Web Based Progress Reporting& Monitoring

    GSM modem

    DatabaseServer

    RegionalOffices

    Internet /VPN

    Headquarters

    RegionalOffices

    ProgressReports Monitoring

    Monitoring

    CellularOperator

    Headquarters

    ProgressReports

    SMSApplicationServer

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    Thank you

    for your attention

    September 2008


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