TheJakartaPost
Please Update your browser
Your browser is out of date, and may not be compatible with our website. A list of the most popular web browsers can be found below.
Just click on the icons to get to the download page.
Developing high quality sectoral statistical data
Development in this era must be data-driven to ensure policy priorities are more targeted, measurable, effective and efficient.
Change Size
Banyumas Regent Achmad Husein touches a screen to mark the launch of the regency’s one data platform as part of the One Data Indonesia program at his office in Purwokerto, Central Java on Dec. 27, 2022. (Antara/Banyumas government)
T
he quality of sectoral statistics implementation in Indonesia is still unsatisfactory. Because high-quality data is believed to be a significant asset in the development of a region, the management of high-quality data should be a focal point in policy considerations.
One type of data that urgently needs improvement is sectoral statistical data. Law No. 16/1997 defines sectoral statistics as data used to meet the specific needs of certain agencies for the implementation of government tasks and development, which are the main tasks of the respective agencies.
The first evaluation of sectoral statistics implementation (EPSS) conducted in 2023 revealed that sectoral statistics implementation in Indonesia was rated as inadequate. This information is stated in Statistics Indonesia (BPS) Decree No. 741/2023.
The EPSS resulted in a statistical development index (IPS), which measures the progress of sectoral statistics implementation across 77 central government agencies and 509 local governments.
The results were then submitted to the Home Ministry so that local governments could outline their key performance indicators, as well as the Administrative and Bureaucratic Reform Ministry for bureaucratic reform general value indicators and the National Development Planning Agency (Bappenas) for the evaluation of the One Data Indonesia (SDI) program’s progress.
The IPS values indicate that, on average, the implementation of statistics in agencies is rated as inadequate, with a score of 1.78 out of 5. The inadequate rating is the lowest among the five levels: inadequate, sufficient, good, very good and satisfactory. The average IPS of local government agencies nationwide was also rated as inadequate, with a score of 1.66. Meanwhile, agencies at the provincial and municipal levels fell into the sufficient category, with scores of 2.01 and 1.88, respectively. To be rated as good, an agency must achieve a minimum score of 2.62. This rating can be attained through significant and continuous improvements in sectoral statistics implementation. Efforts to achieve high-quality sectoral statistics must continue, especially in local government agencies.
The central government has shown its commitment to strengthening sectoral statistics by issuing Presidential Regulation No. 39/2019 on SDI. The regulation defines SDI as a policy for government data governance to produce accurate, up-to-date, integrated and accountable data that is easily accessible and shared among central and local agencies.
