Inovasi Digital: Pemanfaatan AI Untuk Efisiensi dan Transparansi Dalam Administrasi Publik

Herman; Nofri Zendra

Authors

Herman Indonesia Open University Author
Nofri Zendra Indonesia Open University Author

Keywords:

Inovasi Digital, Kecerdasan Buatan, Efisiensi, Transparansi, Administrasi Publik

Abstract

Penelitian ini menganalisis implementasi teknologi kecerdasan buatan (AI) dalam administrasi publik untuk meningkatkan efisiensi, transparansi, dan kepercayaan publik. Seiring dengan perkembangan digitalisasi, AI telah terbukti meningkatkan efisiensi operasional hingga 40%, mengurangi waktu pemrosesan dokumen hingga 60%, dan mengoptimalkan pengelolaan sumber daya manusia. AI juga berkontribusi pada peningkatan transparansi melalui penggunaan blockchain, yang memastikan akuntabilitas dan meminimalkan manipulasi data, serta memfasilitasi akses informasi publik secara real-time. Disisi lain, penerapan AI berpotensi meningkatkan kepercayaan publik terhadap pemerintah dengan menciptakan sistem administrasi yang lebih transparan dan responsif. Namun, tantangan seperti kesenjangan digital, keamanan data, dan resistensi terhadap perubahan tetap menjadi hambatan dalam implementasi AI di sektor publik. Penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan analisis literatur untuk menggali dampak AI terhadap aspek-aspek tersebut dan memberikan rekomendasi bagi pengambilan kebijakan dalam transformasi digital sektor publik di Indonesia. Hasil penelitian menunjukkan bahwa meskipun tantangan yang ada, manfaat jangka panjang dari penggunaan AI, terutama dalam hal efisiensi dan transparansi, sangat signifikan dalam meningkatkan kualitas pelayanan publik.

References

Akhyar, A. (2023). Kualitas pelayanan publik: Suatu tinjauan mengenai kepuasan masyarakat. Jurnal Penkomi: Kajian Pendidikan dan Ekonomi, 6(2), 103–113.

Aoki, N. (2020a). An experimental study of public trust in AI chatbots in the public sector. Government Information Quarterly, 37(4), 101490.

Aoki, N. (2020b). An experimental study of public trust in AI chatbots in the public sector. Government Information Quarterly, 37(4), 101490.

Borrmann, A., König, M., Koch, C., & Beetz, J. (2018). Building information modeling: Why? What? How? Dalam A. Borrmann, M. König, C. Koch, & J. Beetz (Ed.), Building Information Modeling (hlm. 1–24). Springer International Publishing. https://doi.org/10.1007/978-3-319-92862-3_1

Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.

Daly, A., Hagendorff, T., Hui, L., Mann, M., Marda, V., Wagner, B., & Wei Wang, W. (2022). AI, governance and ethics: Global perspectives.

Davenport, T. H. (2018). The AI advantage: How to put the artificial intelligence revolution to work. MIT Press.

De Sousa, W. G., de Melo, E. R. P., Bermejo, P. H. D. S., Farias, R. A. S., & Gomes, A. O. (2019). How and where is artificial intelligence in the public sector going? A literature review and research agenda. Government Information Quarterly, 36(4), 101392.

Dhaliwal, A. (2024). Towards AI-driven transport and logistics. Dalam A. Kathuria, P. P. Karhade, K. Zhao, & D. Chaturvedi (Ed.), Digital Transformation in the Viral Age (Vol. 508, hlm. 119–131). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60003-6_8

Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamò-Larrieux, A. (2020). Towards transparency by design for artificial intelligence. Science and Engineering Ethics, 26(6), 3333–3361. https://doi.org/10.1007/s11948-020-00276-4

Gaebler, T. (1993). Reinventing government: How the entrepreneurial spirit is transforming the public sector. Plume.

Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). Accounting and auditing with blockchain technology and artificial intelligence: A literature review. International Journal of Accounting Information Systems, 48, 100598.

Ireni-Saban, L., & Sherman, M. (2021). Ethical governance of artificial intelligence in the public sector. Routledge.

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.

Leavy, P. (2022). Research design: Quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches. Guilford Publications.

Lips, M. (2019). Digital government: Managing public sector reform in the digital era. Routledge.

Mariyam, S., & Setiyowati, S. (2021). Legality of artificial intelligence (AI) technology in public service transformation: Possibilities and challenges. Lex Publica, 8(2), 75–88.

Misuraca, G., Van Noordt, C., & Boukli, A. (2020). The use of AI in public services: Results from a preliminary mapping across the EU. Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance, 90–99. https://doi.org/10.1145/3428502.3428513

Rane, N., Choudhary, S., & Rane, J. (2023). Blockchain and artificial intelligence (AI) integration for revolutionizing security and transparency in finance. SSRN, 4644253. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4644253

Robles, P., & Mallinson, D. J. (2023). Artificial intelligence technology, public trust, and effective governance. Review of Policy Research. https://doi.org/10.1111/ropr.12555

Sharma, G. D., Yadav, A., & Chopra, R. (2020). Artificial intelligence and effective governance: A review, critique and research agenda. Sustainable Futures, 2, 100004.

Spring, M., Faulconbridge, J., & Sarwar, A. (2022). How information technology automates and augments processes: Insights from artificial‐intelligence‐based systems in professional service operations. Journal of Operations Management, 68(6–7), 592–618. https://doi.org/10.1002/joom.1215

Susskind, D. (2020). A world without work: Technology, automation and how we should respond. Penguin UK.

Tsamados, A., Aggarwal, N., Cowls, J., Morley, J., Roberts, H., Taddeo, M., & Floridi, L. (2021). The ethics of algorithms: Key problems and solutions. Dalam L. Floridi (Ed.), Ethics, Governance, and Policies in Artificial Intelligence (Vol. 144, hlm. 97–123). Springer International Publishing. https://doi.org/10.1007/978-3-030-81907-1_8

Veale, M., Van Kleek, M., & Binns, R. (2018). Fairness and accountability design needs for algorithmic support in high-stakes public sector decision-making. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3173574.3174014

Verma, N., & Kumaran, G. M. M. (2021). Digital transformation in government—A case study of India. Dalam Citizen Empowerment through Digital Transformation in Government (hlm. 1–22). Chapman and Hall/CRC.

Vu, H., Sandanayake, M., & Zhang, G. (2023). Factors affecting the readiness of user-pay public–private partnership procurement for infrastructure projects: A comparison between developed and emerging economies. Knowledge, 3(3), 384–400.

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

Wu, H., Han, H., Wang, X., & Sun, S. (2020). Research on artificial intelligence enhancing internet of things security: A survey. IEEE Access, 8, 153826–153848.

Yigitcanlar, T., Li, R. Y. M., Beeramoole, P. B., & Paz, A. (2023). Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong. Government Information Quarterly, 40(3), 101833.

Zuiderwijk, A., Chen, Y.-C., & Salem, F. (2021). Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Government Information Quarterly, 38(3), 101577.