Integrated Data Governance: An Analysis of One Data Indonesia Policy Implementation in Pohuwato District, Indonesia

Digital transformation in governance demands improved data quality as the foundation for effective and transparent decision-making. One of the strategic policies promoted by the Indonesian government is the implementation of One Data Indonesia, which aims to produce quality, standardised, and accessible data across sectors. This study aims to analyse the implementation of the this policy in the Pohuwato District and identify the determinants of its success. Using a qualitative approach with a case study method, this research was conducted at Bappeda, the Office of Communication and Information Technology and the Statistics Agency of Pohuwato Regency through in-depth interview techniques with the snowball sampling method. The results showed that implementing Satu Data Indonesia in Pohuwato Regency faced several obstacles in the planning, collection, examination, and dissemination stages. The dominant factors affecting the effectiveness of the policy include a lack of coordination between agencies, weak information technology infrastructure, and low involvement of village-level data producers. The conclusion of this study emphasises the importance of a collaborative approach, strengthening human resource capacity, and building a data interoperability system to accelerate the success of SDI policies. These findings strengthen regional data governance as the foundation for formulating participatory and evidence-based public policy.

Authors

Publication Details

Journal
Asian Journal of Education and Social Studies
Published
2025-05-14
DOI
https://doi.org/10.9734/ajess/2025/v51i51963
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Data Governance: An Analysis of One Data Indonesia Policy Implementation in Pohuwato District, Indonesia

Irawaty Igirisa, Mohammad Ismail, Rustam Podungge
Asian Journal of Education and Social Studies
Information Retrieval and Data Mining
article

Integrated Data Governance: An Analysis of One Data Indonesia Policy Implementation in Pohuwato District, Indonesia

Irawaty Igirisa, Mohammad Ismail, Rustam Podungge
article en

Abstract

Digital transformation in governance demands improved data quality as the foundation for effective and transparent decision-making. One of the strategic policies promoted by the Indonesian government is the implementation of One Data Indonesia, which aims to produce quality, standardised, and accessible data across sectors. This study aims to analyse the implementation of the this policy in the Pohuwato District and identify the determinants of its success. Using a qualitative approach with a case study method, this research was conducted at Bappeda, the Office of Communication and Information Technology and the Statistics Agency of Pohuwato Regency through in-depth interview techniques with the snowball sampling method. The results showed that implementing Satu Data Indonesia in Pohuwato Regency faced several obstacles in the planning, collection, examination, and dissemination stages. The dominant factors affecting the effectiveness of the policy include a lack of coordination between agencies, weak information technology infrastructure, and low involvement of village-level data producers. The conclusion of this study emphasises the importance of a collaborative approach, strengthening human resource capacity, and building a data interoperability system to accelerate the success of SDI policies. These findings strengthen regional data governance as the foundation for formulating participatory and evidence-based public policy.

Asian Journal of Education and Social StudiesVol. 51(5)
Openalex Percentile: Top 86%
Information Retrieval and Data Mining
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.