Census Data Processing In BPS – Statistics Indonesia About BPS – Statistics Indonesia  Vision: BPS is the provider of quality statistics. 

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Transcript Census Data Processing In BPS – Statistics Indonesia About BPS – Statistics Indonesia  Vision: BPS is the provider of quality statistics. 

Census Data Processing
In BPS – Statistics Indonesia
1
About BPS – Statistics Indonesia
 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 setting
up work programs and periodic reporting.
-
Develop and promote standards to be incorporated
implementation of statistical techniques and methods.
in
the
- Provide necessary services in the field of education and training in
statistics.
- Establish cooperation with international institutions and other
countries for the benefit of Indonesia’s statistical development.
Organizational Structure
Director General
Principal Secretary
Institute of
Statistics
Main
Inspectorate
Inspectorate
Area I
Inspectorate
Area II
Inspectorate
Area III
Bureau
of Program
Management
Education and
Training Center
Deputy DG
for
Production
Statistics
Deputy DG
for Methodo
logy and Statistical
Information
Directorate of
Food Crops,
Horticultural,
and Estate
Crops Statistics
Directorate for
Dev of Census &
Survey
Methodology
Directorate of
Animal
Husbandry,
Fishery,
And Forestry
Statistics
Directorate
of Indutrial
Statistics
Directorate
of Statistical
Dissemination
Directorate
of Statistical
Information System
Deputy DG
for Social
Statistics
Bureau
of Finance
Bureau
of Personnel
& Legal Affairsl
Deputy DG
for Distribution
and Services
Statistics
Bureau
of General
Affairs
Deputy DG
for National Account and
Statistical Analysis
Directorate
of Population
Statistics
Directorate
of Distribution
Statistics
Directorate
of Production
Account
Directorate
of Social Welfare
Statistics
Directorate
of Price
Statistics
Directorate
of Consumption
Account
Directorate
of Social Resilience
Statistics
Directorate of
Financial, IT, and
Tourism Statistics
Directorate
of Statistical
Analysis
BPS Regional
Statistics Offices
Provincial and Regional Offices
 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 (subdistrict level Statistical Coordinator).
 Technically and administratively, BPS regional offices are
directly 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 %).
CHIEF OF BPS
PROVINCIAL OFFICE
ADMINISTRATION
DIVISION
Provincial
Level
Organization
PROGRAM
MANAGEMENT
SUB DIVISION
INTERNAL AFFAIRS
SUB DIVISION
PERSONNEL
AND LEGAL AFFAIRS
SUB DIVISION
SOCIAL
STATISTICS
DIVISION
PRODUCTION
STATISTICS
DIVISION
DISTRIBUTION
STATISTICS
DIVISION
REGIONAL ACCOUNT
AND STATISTICAL
ANALYSIS DIVISION
DATA PROCESSING
AND
DISSEMINATION
DIVISION
DEMOGRAPHIC
AND HOUSEHOLD
STATISTICS
SUB DIVISION
AGRICULTURAL
STATISTICS
SUB DIVISION
CONSUMER
AND WHOLESALE
PRICE STATISTICS
SUB DIVICION
PRODUCTION
ACCOUNTS
SUB DIVISION
NETWORKING
AND STATISTICAL
REFERENCE
SUB DIVISION
MAN POWER
STATISTICS
SUB DIVISION
INDUSTRIAL
STATISTICS
SUB DIVISION
FINANCIAL
AND PRODUCER
PRICE STATISTICS
SUB DIVICION
CONSUMPTION
ACCOUNTS
SUB DIVISION
DATA PROCESSING
SOCIAL WELFARE
STATISTICS
SUB DIVISION
MINING, ENERGY
& CONSTRUCTION
STATISTICS
SUB DIVISION
COMMERCE
& SERVICES
STATISTICS
SUB DIVICION
STATISTICAL
ANALYSIS
AND DEVELOPMENT
SUB DIVISION
DISSEMINATION
& STATISTICAL
SERVICE
SUB DIVISION
INTEGRATION
SUB DIVISION
ASSETS
FINANCE
SUB DIVISION
MANAGEMENT
SUB DIVISION
Census in Indonesia
 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.
Data Processing Support for
Population Census 1980, 1990
• Using Mainframe:
• (NEC ACOS 500 in 1980)
• (NEC ACOS 1520 in 1990)
• Batch Processing (not interactive)
Data Processing Policy
(after elimination of Mainframe)
1.
Decentralized & Distributed Data Processing:
• Encourage End-users Computing: subject matter units are
entitled to process their own survey under coordination of
data processing division.
• Develop application in-house by HQ & decentralize operation
to Regional offices.
• Implement Distributed / Client-Server Data Processing
Model.
2. IT Department (Directorate of SIS) focuses on IT
infrastructures & complex DP Systems such as Censuses.
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Data Processing Support for
Population Census 2000
• 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).
PC 2000 Data Capture Stages
 Scan documents  (produce image file)
 Recognize image  (produce ascii characters)
 Verification & Correction  (operators decide
characters ambiguous to recognize engine)
 Completion  completeness check
 Release  save into database
Experience from PC 2000
• Unexpected low quality of enumerator’s handwriting to
recognize by ICR
• Unable to recognize characters correctly
– Rejected too many values (too high confidence
level)
– Accepted incorrect values (too low confidence
level)  realized from tabulation output
– Should check-digit help to increase accuracy ?
• Ineffective learning engine
• In a LAN environment using MS-SQl Server, 4
concurrent scanning processes slow down the whole DP
activities consisting of 3 recognize stations, 10
correction stations,and 25 computer editing stations.
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 Scanners
which spread over all provinces
• Relatively high cost (investment) for Data
Capture H/W& S/W
• However, Data Capture using scanner was
able to shorten Data Processing Completion
Time.
• It was not easy to find out well motivated
enumerators & Data Capture operators.
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
Document:
Batch Control
Document C
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 Singapore
eager to reserve all available spare-parts to BPS)
 Running out of Ascent Capture Counter (dongle) limit
 Operable uncertainty for PC 2010
PC 2010 Data Processing Strategy
1. Utilize scanners with character recognition
technology (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 accessing
data, as well as monitoring data collection activities.
6. Utilize web-based application for monitoring data
processing activities.
7. In 2008, all of 33 province level offices and some
(34) district / city level offices are connected using
Virtual Private Network (VPN).
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PC2010 Data Processing Plan (cont)
Formation of 8 Processing Centers
Medan
11
12
13
14
21
Palembang 15
16
17
18
19
DKI Jakarta 31
36
61
Bandung
32
Semarang 33
34
NAD
Surabaya
Sumatera Utara
Sumatera Barat
Riau
Kepulauan Riau
Banjarmasin
Jambi
Sumatera Selatan
Bengkulu
Makasar
Lampung
Kep. Bangka Belitung
DKI Jakarta
Banten
Kalimantan Barat
Jawa Barat
Jawa Tengah
DI Yogyakarta
35
51
52
53
62
63
64
71
72
73
74
75
76
81
82
91
92
Jawa Timur
Bali
NTB
NTT
Kalimantan Tengah
Kalimantan Selatan
Kalimantan Timur
Sulawesi Utara
Sulawesi Tengah
Sulawesi Selatan
Sulawesi Tenggara
Gorontalo
Sulawesi Barat
Maluku
Maluku Utara
Irian Jaya Barat
Papua
8 Data Processing Centers
SMS / Web Based Progress Reporting
& Monitoring
Regional
Offices
Progress
Reports
Monitoring
Headquarters
Cellular
Operator
SMS
Application
Server
Database
Server
GSM modem
Regional
Offices
Progress
Reports
Internet /
VPN
Monitoring
Headquarters
Thank you
for your attention
September 2008