MONITORING SOCIAL DEVELOPMENTS IN INDONESIA

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BADAN PUSAT STATISTIK
COMMITMENTS FROM THE NSDS ON THE REGIONAL
STRATEGY (INDONESIA CASE)
SURYAMIN
Chief Statistician, BPS-Statistics Indonesia
ASEAN Regional Workshop on Strategic Statistical Planning:
Towards a Stronger ASEAN Community Statistical System
Jakarta, 29 November 2012
OUTLINE
1. BPS-Statistics Indonesia:
Role, Vision and Mission
2. Key Challenges and BPS’s
Commitments: StatcapCerdas and Bureaucratic
Reform
3. Problems and Difficulties
BPS: VISION AND MISSION
VISION
 The Agent of trustworthy statistical data for all
MISSION
 To strengthen constitutional and operational foundation of statistical agent
in conducting efficient and effective statistics.
 To create competent and professional statistics community, supported by
the latest information technology for statistical advancement in Indonesia.
 To increase the implementation of classification standards, concepts and
definitions, measurements, and statistical codes of practice, which are
universal in every statistics collection
 To increase the quality of statistical information services for all parties
 To increase coordination, integration and synchronization of statistical
activities , which are collected by the Indonesian government and private
institutions within the national statistical system framework of being
effective and efficient
KEY CHALENGES (1)
1. Steering Committee meeting of PARIS 21 (Partnership in Statistics
for Development in the 21st Century) on 3 November 2004 in Paris:
 Encourage all countries to establish an NSDS by 2006.
2. National Bureaucratic Reform (PERMENPANRB No.
15/PER/M.PAN/7/2008)
 Encourage all Line Ministries to conduct bureaucratic reform to
achieve Good Governance, and to improve excelent public
services.
3. BPS MODERNISATION PROPOSAL:
 Initiatives to conduct program of Change and Reform for the
Development of Statistics, called STATCAP-CERDAS program.
 Focus on 4 pilars improvements: a) Quality Statistics; b) ICT; c)
Human Resources Development; d) Organizational Alignment.
KEY CHALENGES (2)
4. Development of the Asean Community Statistical
System (ACSS):


Development of Strategic Plan ACSS 2010-2015
Encourage all NSOs to strengthen institutional framework, to
improve quality statistics, and to facilitate technical support
(capacity building).
5. Important role of NSOs:


Provide based policy making through enabling comparison
of data across regions, countries
Provide a framework of stable, trusted, regular and
coherent base of key national and international statistics
BPS’ COMMITMENTS (1)
1. BPS-Statistics Indonesia has comitted to conduct a fundamental,
comprehensive, and cross-sectoral change and reform program
since 2008. As one of Government agency, BPS-Statistics
Indonesia has also commited to implement National Bureaucratic
Reform Program.
 STATCAP-CERDAS and Bureaucratic Reform (BR) Program is
one concept of change and reform agenda. The main goal
of Bureaucratic Reform Program is to achieve Good
Governance. Statcap-Cerdas is the boosters for Bureaucratic
Reform Program.
 Statcap-Cerdas/BR program is a vehicle used to achive the
desired future of the BPS, as depicted in the vision of BPS to
be the "The Agent of trustworthy statistical data for all“.
BPS’ COMMITMENTS (2)
Broad Framework Rev.1
2. Strengthen and improving the quality of
statistics to support the ASEAN Economic
Community in 2015.
3. BPS-Statistics Indonesia has developed
the Quality Assurance Framework (QAF):
as mandatory by UNSD (United Nation
Statistics Division)
4. Implement ACSS (ASEAN Community
Statistical System) Code of Practice →
inline with BPS strategy StatCap Cerdas
and Bureaucratic Reform
Major Stakeholders
ASEAN Statistical Framework
ASEAN Statistical
Indicators (ASI)
SocioCultural
Economic
• GDP & SNA
• Gov Finance
• Price
• Int’l Trade
in Services
• Manufacturing
• Other Industry
Sector/
Production
Statistics
• SME
• ICT
• Tourism
• Int’l Merchandise
Trade
• Foreign Direct
Investment
• Transport
• Infrastructure
• Food Security &
Prices
• NDG for above
PoliticalSecurity
• Population • To be
• Labour,
considered
Migration & when priority
Decent Work indicators
• Environment are identified
• Poverty and by the APSC
Wellbeing
pillar
• Gender (for
selected AMS)
• MDGs*
• NDG for above
Statistical Outputs/ Uses
Dissemination/
Communication
Data
Programmes
ACPMS/ ASEAN Brief
• Data collection, compilation,
editing and analysis
• Metadata compilation &
assessment
• Harmonisation of classification,
concepts, definitions &
measurements
• Adopt internationally recognised
methodologies
• Quality & Timeliness
Yearbook
Enabling Mechanisms/
Capacity Building
Other publications
Database/ Web-portal
Press Releases
Discussion Forum
WGDSA to recommend the
mechanism and processes
• Institutional framework
• Infrastructure (e.g., IT)
• Data Network
Communication
• Statistical Devt Plan & Coordination
Resource:
-National/ ASEAN Governments
-Donor Countries
-Dialogue Partners
-International Organisations
* MDGs include water & sanitation, maternal & children, basic health & education, among
other areas.
5. Comply to international standards in classification (such as HS, SITC, ISIC,
COICOP, CPC etc) and working procedures (IMTS, SITS, SNA Manual and
others)
6. Improving data dissemination and communication to users
Problems and Difficulties
 Standard classification could not be fully implemented by other institutions due
to lack of professional staff, especially at regional level.
 Weak coordination among data providers, especially in the regional levels
due to the limited number of statisticians
 Lack of human resources other than statisticians (management, planner,
accountant, HR specialist)
 ETC program mostly on trainings required for civil servants such as preemployment trainings and leadership training, but lack of technical trainings
on statistics such as sampling design, computer programmer and analyst data
base management, statistical analysis, office management which is needed by
BPS,
 Lack of ICT personnel, such as programmer, system programmer, web
designer, data base specialist especially in regional offices.
CONCLUSIONS
 The key success factor of BPS development heavily rely on the availability of
professional that facilitated by two knowledge centers, viz STIS in providing
a new statistician, and ETC for maintaining the level of skill needed by the
institutions.
 Human resources are very strategic area for the development of BPS: hard
skill, through education and training and soft skill, through job assignments
 ETC should develop their program to improve technical capability to
strengthen BPS coordination with sectoral data providers
 BPS need non statistical employees especially on HR development to
strengthen BPS management.
 Improvement on the capacity of ICT personnel will indirectly improve most of
statistical business process in producing good quality of statistics.
 Specific education and training programs on ICT personnel should be taken
into accounts to support the ICT development and modernization of BPSStatistics Indonesia.
 Having better personnel database system which support the human resources
improvement and development on the institution also affect to the lack of
readiness of BPS in facing the target to build better, faster, cheaper, and
easier services.
THANK YOU
Terima Kasih
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