Artificial Intelligence Function Management in Supporting the Process of Government Implementation and Public Services in Indonesia

Saprudin Saprudin

doi:10.55885/jmap.v4i1.352

Authors

Saprudin Saprudin Universitas Sulawesi Tenggara, Indonesia

DOI:

https://doi.org/10.55885/jmap.v4i1.352

Keywords:

Management, Artificial Intelligence, Government, Public Services

Abstract

This research investigates the impact of Artificial Intelligence (AI) on government administration and public service delivery in Indonesia. The study employed qualitative research methods, including semi-structured interviews and detailed case studies of selected AI projects. The research results indicate that AI has significantly improved administrative efficiency and public service delivery. The “Smart Administration System” has automated routine tasks, resulting in a 60% reduction in manual processing times and enhancing overall productivity. The “Policy Insight Tool” has supported better policy formulation through advanced predictive analytics and scenario modeling. Despite these successes, the study identified challenges such as resistance to change, technical difficulties, and data integration issues. Feedback from users also highlighted limitations in AI language processing and accessibility concerns.

References

Bezzina, F., Camilleri, E., Marmarà, V., Bezzina, F., Camilleri, E., & Marmarà, V. (2021). Historical Background of the Maltese Public Service Administration and Management (The Turning Point). Public Service Reforms in a Small Island State: The Case of Malta, 41-86.

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

Kulal, A., Rahiman, H. U., Suvarna, H., Abhishek, N., & Dinesh, S. (2024). Enhancing public service delivery efficiency: Exploring the impact of AI. Journal of Open Innovation: Technology, Market, and Complexity, 10(3), 100329. https://doi.org/10.1016/j.joitmc.2024.100329

Latupeirissa, J. J. P., Dewi, N. L. Y., Prayana, I. K. R., Srikandi, M. B., Ramadiansyah, S. A., & Pramana, I. B. G. A. Y. (2024). Transforming public service delivery: A comprehensive review of digitization initiatives. Sustainability, 16(7), 2818. https://doi.org/10.3390/su16072818

Makasi, T., Nili, A., Desouza, K., & Tate, M. (2020). Chatbot-mediated public service delivery: A public service value-based framework. First Monday, 25(12).

Marda, V. (2018). Artificial intelligence policy in India: a framework for engaging the limits of data-driven decision-making. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180087. https://doi.org/10.1098/rsta.2018.0087

Masakowski, Y. R. (2020). Artificial intelligence and the future global security environment. In Artificial Intelligence and Global Security: Future Trends, Threats and Considerations (pp. 1-34). Emerald Publishing Limited.

Mehta, N., & Devarakonda, M. V. (2018). Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?. Journal of Allergy and Clinical Immunology, 141(6), 2019-2021. https://doi.org/10.1016/j.jaci.2018.02.025

Nawaludin, M. (2023). The Alignment Of The Planning And Budgeting Process For National Development Programs In Indonesia (Doctoral dissertation, Ritsumeikan Asia Pacific University).

Prayitno, G., Ari, I. R. D., Hiddlestone-Mumford, J., Siankwilimba, E., & Mulyawati, A. I. (2023). Regional Planning and Rural Development.

Pribadi, K. S., Abduh, M., & Firdaus, A. (2023). Sustainable and resilient infrastructure policy implementation in Indonesia. Available at SSRN 4326521.

Rustan, I. R., Nawawi, J., Nara, N., & Abdullah, M. T. (2022). Regional Medium-Term Development Planning Based On Regional Development From Top-Down Approach. Journal of Positive School Psychology, 3327-3338.

Sulistya, A. Q. W., Sulistiyo, B. B., Aditya, F., Aritonang, I. D., Simangunsong, S. A., Shihab, M. R., & Ranti, B. (2019, July). A case study of Indonesian government digital transformation: Improving public service quality through E-government implementation. In 2019 5th International Conference on Science and Technology (ICST) (Vol. 1, pp. 1-6). IEEE. https://doi.org/10.1109/ICST47872.2019.9166234

Van Noordt, C., & Misuraca, G. (2022). Artificial intelligence for the public sector: results of landscaping the use of AI in government across the European Union. Government information quarterly, 39(3), 101714.