Transformasi Audit Sektor Publik: dari Digital Audit menuju Algorithmic Accountability Audit

Authors

  • Fityan Halid Universitas Negeri Gorontalo Author
  • Dita Aulia Buata Universitas Negeri Gorontalo Author
  • Sahmin Noholo Universitas Negeri Gorontalo Author

Keywords:

Audit Sektor Publik, Digital Audit, Algorithmic Accountability Audit, Kecerdasan Buatan, Tata Kelola AI

Abstract

Artikel ini bertujuan menyintesis literatur mengenai transformasi audit sektor publik di era digital. Penelitian menggunakan pendekatan semi-systematic literature review dengan sintesis tematik kualitatif terhadap 30 artikel yang diterbitkan pada periode 2020–2026. Analisis dilakukan melalui proses ekstraksi data, pembacaan berulang, coding, pengelompokan tema, dan penulisan memo analitis. Hasil penelitian menunjukkan bahwa transformasi audit sektor publik tidak hanya berkaitan dengan adopsi teknologi, tetapi juga dengan perubahan orientasi akuntabilitas, praktik audit, peran auditor, tata kelola AI, dan kesiapan kelembagaan. Audit sektor publik mengalami perluasan dari pemeriksaan keuangan dan kepatuhan menuju pengawasan nilai publik, termasuk kinerja, keberlanjutan, tata kelola lingkungan, akuntabilitas energi, dan tujuan pembangunan berkelanjutan. Digitalisasi membuka peluang bagi audit berbasis data, remote, real-time, continuous, prediktif, dan berorientasi risiko. Namun, manfaat tersebut bergantung pada validitas data, tata kelola TI, kompetensi auditor, dan skeptisisme profesional. Artikel ini menawarkan sintesis konseptual mengenai pergeseran dari digital audit menuju algorithmic accountability audit, yaitu audit yang menempatkan sistem algoritmik pemerintah sebagai objek akuntabilitas publik.

Downloads

Download data is not yet available.

References

Aliah, N., & Riska Faridani, M. (2025). Transforming Accounting Through Artificial intelligence: A Systematic Literature Review of Opportunities, Challenges, and Ethical Imperatives. 2nd International Conference on Islamic Community Studies (ICICS).

Aquino, A. C. B. de, Lino, A. F., Azevedo, R. R. de, & Silva, P. B. da. (2022). Digital affordances and remote public audit practice. Financial Accountability and Management, 38(3), 447–467. https://doi.org/10.1111/faam.12337

Bartsch, S. C., Nguyen, L. H., Schmidt, J. H., Du, G., Adam, M., Benlian, A., & Sunyaev, A. (2025). The Present and Future of Accountability for AI Systems: A Bibliometric Analysis. Information Systems Frontiers. https://doi.org/10.1007/s10796-025-10636-9

Bostan, I., Tudose, M. B., Clipa, R. I., Chersan, I. C., & Clipa, F. (2021). Supreme Audit Institutions and sustainability of public finance. Links and evidence along the economic cycles. Sustainability (Switzerland), 13(17). https://doi.org/10.3390/su13179757

Cheong, B. C. (2024). Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making. Frontiers in Human Dynamics, 6. https://doi.org/10.3389/fhumd.2024.1421273

Ferry, L., Radcliffe, V. S., & Steccolini, I. (2022). The future of public audit. Financial Accountability and Management, 38(3), 325–336. https://doi.org/10.1111/faam.12339

Friese, S. (2019). QUALITATIVE DATA ANALYSIS WITH ATLAS.TI. SAGE Publications.

Funda, V. (2025). A systematic review of algorithm auditing processes to assess bias and risks in AI systems. Journal of Infrastructure Policy and Development, 9(2), 11489. https://doi.org/10.24294/jipd11489

Genaro-Moya, D., López-Hernández, A. M., & Godz, M. (2025). Artificial intelligence and Public Sector Auditing: Challenges and Opportunities for Supreme Audit Institutions. World, 6(2), 78. https://doi.org/10.3390/world6020078

Grossi, G., Hay, D. C., Kuruppu, C., & Neely, D. (2023). Changing the boundaries of public sector auditing. Journal of Public Budgeting, Accounting and Financial Management, 35(6), 140–153. https://doi.org/10.1108/JPBAFM-05-2023-0079

Hasan, A. R. (2022). Artificial intelligence (AI) in Accounting & Auditing: A Literature Review. Open Journal of Business and Management, 10(01), 440–465. https://doi.org/10.4236/ojbm.2022.101026

Kokina, J., Blanchette, S., Davenport, T. H., & Pachamanova, D. (2025). Challenges and opportunities for artificial intelligence in auditing: Evidence from the field. International Journal of Accounting Information Systems, 56. https://doi.org/10.1016/j.accinf.2025.100734

Laine, J., Minkkinen, M., & Mäntymäki, M. (2024). Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders. Information and Management, 61(5). https://doi.org/10.1016/j.im.2024.103969

Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022). Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking. Accounting, Auditing and Accountability Journal, 35(9), 109–135. https://doi.org/10.1108/AAAJ-09-2020-4934

Leocádio, D., Malheiro, L., & Reis, J. (2024). Artificial intelligence in Auditing: A Conceptual Framework for Auditing Practices. Dalam Administrative Sciences (Vol. 14, Nomor 10). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/admsci14100238

Mattei, G., Grossi, G., & Guthrie A.M, J. (2021). Exploring past, present and future trends in public sector auditing research: a literature review. Dalam Meditari Accountancy Research (Vol. 29, Nomor 7, hlm. 94–134). Emerald Group Holdings Ltd. https://doi.org/10.1108/MEDAR-09-2020-1008

Naseer, K., & Ahmed, H. N. (2025). Effectiveness and Reliability of Artificial intelligence in Fraud Detection: A Mixed-Method Study on Financial Audit. Journal of Management and Informatics, 4(1), 706–722. https://doi.org/10.51903/jmi.v4i1.168

Otia, J. E., & Bracci, E. (2022). Digital transformation and the public sector auditing: The Sai’s perspective. Financial Accountability and Management, 38(2), 252–280. https://doi.org/10.1111/faam.12317

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Journal of Clinical Epidemiology, 134, 178–189. https://doi.org/10.1016/j.jclinepi.2021.03.001

Papagiannidis, E., Mikalef, P., & Conboy, K. (2025). Responsible artificial intelligence governance: A review and research framework. Dalam Journal of Strategic Information Systems (Vol. 34, Nomor 2). Elsevier B.V. https://doi.org/10.1016/j.jsis.2024.101885

Pasupuleti, M. K. (2026). Research Paper Title :Toward Trustworthy Artificial intelligence in Law and Public Administration: Transparency, Accountability and Decision Support. International Journal of Academic and Industrial Research Innovations(IJAIRI), 06(03). https://doi.org/10.62311/nesx/rp-1-28-30032026

Podoprigora, V. N., Zavadsky, V. V., Zhukov, A. O., & Kartsan, I. N. (2021). Public Audit In The Digital Transformation Of Society. European Proceedings of Social and Behavioural Sciences, 1659–1665. https://doi.org/10.15405/epsbs.2021.09.02.185

Safarah, N., & Aji, G. (2025). The Role of Artificial intelligence in Modern Accounting: A Systematic Literature Review. Journal of Management, Finance, and Accounting Research, 1(1), 48–65. https://doi.org/10.70742/jmfar.v1i1.510

Sari, A. R., & Prijanto, B. (2025). Auditor Behavior Toward Artificial intelligence (AI) Development: A Literature Review. International Journal of Artificial Intelegence Research, 9(1). https://doi.org/10.29099/ijair.v9i1.1.1556

Sarwar, M. I., Abbas, Q., Alyas, T., Alzahrani, A., Alghamdi, T., & Alsaawy, Y. (2023). Digital Transformation of Public Sector Governance With IT Service Management-A Pilot Study. Dalam IEEE Access (Vol. 11, hlm. 6490–6512). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2023.3237550

Saud, I. M., Sofyani, H., Utami, T. P., Haq, M. M., & Fathmaningrum, E. S. (2025). Big data analytics-based auditing adoption in public sector: Indonesian evidence. Cogent Business and Management, 12(1). https://doi.org/10.1080/23311975.2025.2454320

Smith, F. H., Retief, F. P., Roos, C., & Alberts, R. C. (2021). The evolving role of supreme auditing institutions (Sais) towards enhancing environmental governance. Impact Assessment and Project Appraisal, 39(1), 67–79. https://doi.org/10.1080/14615517.2020.1834835

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Sułkowski, Ł., & Dobrowolski, Z. (2021). The role of Supreme Audit Institutions in energy accountability in EU countries. Energy Policy, 156. https://doi.org/10.1016/j.enpol.2021.112413

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review*. Dalam British Journal of Management (Vol. 14).

Vitali, S., & Giuliani, M. (2024). Emerging digital technologies and auditing firms: Opportunities and challenges. International Journal of Accounting Information Systems, 53. https://doi.org/10.1016/j.accinf.2024.100676

Volodina, T., & Grossi, G. (2025). Digital transformation in public sector auditing: between hope and fear. Public Management Review, 27(5), 1444–1468. https://doi.org/10.1080/14719037.2024.2402346

Zhang, Y., Zhang, Y., & Wang, Z. (2024). Digital Transformation of National Audits and Regional Sustainable Development: Quasi-Natural Experiment on the Establishment of National Audit Digital Departments. Sustainability (Switzerland), 16(24). https://doi.org/10.3390/su162410830

Zygoulis, F. (2025). Artificial intelligence and Internal Audit the Role of Auditing Framework. British Journal of Research. https://doi.org/10.36648/2394-3718.12.1.138

Downloads

Published

2026-06-14

How to Cite

Transformasi Audit Sektor Publik: dari Digital Audit menuju Algorithmic Accountability Audit. (2026). Jurnal Prima Manajemen, 1(5), 955-975. https://journal.al-afif.org/index.php/jpm/article/view/1248