Utilization of DJP's Open Government Data in Supporting Data Journalism Practices in Indonesia
Keywords:
open government data, data journalism, Directorate General of TaxesAbstract
Open government data is a crucial element in realizing public transparency and accountability. The Directorate General of Taxes/Direktorat Jenderal Pajak (DJP), as the largest state revenue management institution, plays a strategic role in providing publicly accessible data and information through the Open Government Data (OGD) framework. Consequently, the development of data journalism in Indonesia demands the availability of complete, accurate, and easily processed public data to support evidence-based news production. This study aims to analyze the use of DJP's OGD in supporting data journalism practices in Indonesia. The study used a descriptive qualitative approach with a content analysis method of public documents and data published on the DJP's official website. The results show that the DJP website provides a variety of information relevant to data journalism, such as performance reports, financial report summaries, strategic plans, press releases, and public information service statistics. Based on OGD principles, most DJP data meets the criteria of complete, primary , non-discriminatory data, non-proprietary, and license-free data. However, this study also found several limitations, particularly related to the timeliness of data updates and the limited availability of machine-readable data formats, which impact data processing and analysis in data journalism practices. Overall, the DJP's OGD is capable of supporting data journalism practices at the basic to intermediate levels, but still requires increased consistency in updates and the provision of open data formats for further optimization. This research contributes to understanding the relationship between government data transparency and strengthening data journalism practices in Indonesia.
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Copyright (c) 2025 Mujawaroh Annafi, Nadia Humaira, Mutiara Yusdhiana

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Accepted 2025-12-30
Published 2025-12-31