ADMINISTRATIVE JUSTICE IN ALGORITHM-BASED SOCIAL ASSISTANCE DISTRIBUTION SYSTEMS: A STUDY OF DIGITAL TRANSPARENCY IN PUBLIC SERVICES IN INDONESIA

Authors

  • Aris Sarjito Universitas Pertahanan Republik Indonesia
  • Sundring Pantja Djati Universitas Esa Unggul

DOI:

https://doi.org/10.30996/jpap.v11i02.132095

Keywords:

bantuan sosial, etika sektor publik, keadilan administratif, tata kelola algoritmik, transparansi digital

Abstract

This study investigates the concept of administrative justice within algorithm-based decision systems used in distributing social assistance programs in Indonesia. The research aims to evaluate the extent to which digital transparency is upheld in these automated public service mechanisms. Employing a qualitative approach based on secondary data, the study analyses policy documents, regulatory frameworks, technical algorithm manuals, government reports, and investigative journalism from multiple regions. Data were examined through qualitative content analysis. The findings indicate that algorithmic opacity, limited public communication regarding eligibility criteria, and weak regulatory oversight hinder the realization of administrative justice. This article makes a significant contribution to public administration literature by integrating the ethical and administrative dimensions into the study of algorithmic governance. It offers a critical assessment of digital governance practices in an emerging economy and advocates for the ethical implementation of algorithms in the public sector.

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References

Brown, J. (2020). Algorithms and vulnerable citizens: The cost of Australia’s experiment with automation in the governance of its social welfare system. Law, Technology and Humans, 2(1), 46–63. https://doi.org/10.5204/lthj.v2i1.1444

Choroszewicz, M., & Mäihäniemi, B. (2020). Developing a digital welfare state: Data protection and the use of automated decision-making in the public sector across six EU countries. Global Perspectives, 1(1), 12910. https://doi.org/10.1525/gp.2020.12910

Coglianese, C., Lehr, D., Benjamin, S., Berk, R., Gunn, H., Pierce, R., & Rai, A. (2019). Transparency and algorithmic governance. IBM Center for The Business of Government. http://www.businessofgovernment.org/report/us

Dencik, L., Hintz, A., Redden, J., & Treré, E. (2019). Exploring data justice: Conceptions, applications and directions. Information, Communication & Society, 22(7), 873–881. https://doi.org/10.1080/1369118X.2019.1606268

Firmansyah, O. M. Y., Hariyono, C. A., Novitaningrum, R. L., Buono, Y. W. T., Wulandari, R. N. A., & Puspasari, D. (2024). Analysis of the role of communication to improve the productivity and efficiency of employee performance at the Mojokerto City Education and Culture Office. JPAP: Jurnal Penelitian Administrasi Publik, 10(2), 190–198. https://doi.org/10.30996/jpap.v10i2.11548

Freeman Engstrom, D., Ho, D. E., Agarwal, S., Agnew, M., Akarmann, C., Baronia, N., Ceballos, C., … Scott, L. M. (2020). Algorithmic accountability in the administrative state. Stanford Law Review, 72(5), 1–55. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3602810

Gordon, F. (2019). Review of Automating inequality: How high-tech tools profile, police, and punish the poor, by V. Eubanks. Law, Technology and Humans, 1(0), 162–164. https://doi.org/10.5204/lthj.v1i0.1386

Hafifah, E. P., Suratman, S., & Nursanty, N. (2025). Implementation of the On The Spot report receipt and verification program (PVL OTS) by the Ombudsman RI representative of Bengkulu Province. JPAP: Jurnal Penelitian Administrasi Publik, 11(1), 69–85. https://doi.org/10.30996/jpap.v11i1.12974

Khalifatunnisa, K., Budiati, A., & Arenawati, A. (2025). Evaluation of the regional asset management improvement plan through reliable and integrated applications at the Regional Financial and Asset Management Agency of Tangerang Regency. JPAP: Jurnal Penelitian Administrasi Publik, 11(1), 95–107. https://doi.org/10.30996/jpap.v11i1.13080

Kuziemski, M., & Misuraca, G. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications Policy, 44(6), 101976. https://doi.org/10.1016/j.telpol.2020.101976

Lepri, B., Oliver, N., Letouzé, E., Pentland, A., & Vinck, P. (2021). Fair, transparent, and accountable algorithmic decision-making processes. Philosophy & Technology, 31(4), 611–627. https://doi.org/10.1007/s13347-017-0279-x

Masruroh, S. N., Sunarto, I., & Asmuni, A. (2025). Evaluation of non-cash food assistance program in improving community welfare in Serut Village, Panti District, Jember Regency. JPAP: Jurnal Penelitian Administrasi Publik, 11(1), 108–118. https://doi.org/10.30996/jpap.v11i1.13103

Natsir, M. (2025). Effectiveness of Government Regulation (PP) Number 43 Year 2014 Article 154 paragraph (1): A study of Sukorejo District, Pasuruan Regency. JPAP: Jurnal Penelitian Administrasi Publik, 11(1), 18–31. https://doi.org/10.30996/jpap.v11i1.11994

OECD. (2019). Recommendation of the Council on artificial intelligence. OECD. http://legalinstruments.oecd.org

Reisman, D., Schultz, J., Crawford, K., & Whittaker, M. (2018). Algorithmic impact assessments: A practical framework for public agency accountability. AI Now Institute. https://ainowinstitute.org/aiareport2018.pdf

Stankovich, M., Behrens, E., & Burchell, J. (2023). Toward meaningful transparency and accountability of AI algorithms in public service delivery. AI & Society, 38(3), 1–18. https://doi.org/10.1007/s00146-022-01695-9

Starke, C., Baleis, J., Keller, B., & Marcinkowski, F. (2022). Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature. Big Data & Society, 9(2), 20539517221115188. https://doi.org/10.1177/20539517221115189

UNESCO. (2021). Recommendation on the ethics of artificial intelligence. UNESCO. https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence

Veale, M., & Brass, I. (2019). Administration by algorithm? Public management meets public sector machine learning. Public Administration Review, 79(5), 801–811. https://doi.org/10.1111/puar.13141

Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector: Applications and challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1498103

Zouridis, S., van Eck, M., & Bovens, M. (2020). Automated discretion. In T. Evans & P. Hupe (Eds.), Discretion and the quest for controlled freedom (pp. 313–329). Springer. https://doi.org/10.1007/978-3-030-19566-3_20

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Published

2025-09-29

How to Cite

Sarjito, A., & Djati, S. P. . . (2025). ADMINISTRATIVE JUSTICE IN ALGORITHM-BASED SOCIAL ASSISTANCE DISTRIBUTION SYSTEMS: A STUDY OF DIGITAL TRANSPARENCY IN PUBLIC SERVICES IN INDONESIA. JPAP: Jurnal Penelitian Administrasi Publik, 11(02), 187–200. https://doi.org/10.30996/jpap.v11i02.132095