The Role of Artificial Intelligence in Enhancing Efficiency, Transparency, and Inclusivity of Public Services in Indonesia: Opportunities, Challenges, and Strategic Approaches

Andy Chairuddin; Rifdan Rifdan; Asmiana Saputri Ilyas; Sahdan Mustari; Suprianto Suprianto; Rizaputra Rizaputra

doi:10.26858/jiap.v14i2.67932

The Role of Artificial Intelligence in Enhancing Efficiency, Transparency, and Inclusivity of Public Services in Indonesia: Opportunities, Challenges, and Strategic Approaches

Andy Chairuddin⁽¹⁾, Rifdan Rifdan⁽²⁾, Asmiana Saputri Ilyas^(3*), Sahdan Mustari⁽⁴⁾, Suprianto Suprianto⁽⁵⁾, Rizaputra Rizaputra⁽⁶⁾,

(1) Department of Public Administration, Universitas Negeri Makassar, Indonesia
(2) Department of Public Administration, Universitas Negeri Makassar, Indonesia
(3) Department of Public Administration, Universitas Negeri Makassar, Indonesia
(4) Department of Public Administration, Universitas Negeri Makassar, Indonesia
(5) Department of Public Administration, Universitas Negeri Makassar, Indonesia
(6) Department of Public Administration, Universitas Negeri Makassar, Indonesia
(*) Corresponding Author

DOI: https://doi.org/10.26858/jiap.v14i2.67932

Abstract

Artificial intelligence (AI) is a technology with immense potential to enhance public service efficiency, transparency, and inclusivity. This study aims to explore the role of AI in improving the efficiency of public services in Indonesia and to identify the supporting and hindering factors in its implementation. A descriptive qualitative approach was employed, focusing on major cities like Jakarta and Surabaya and remote areas facing challenges in digital transformation. The findings reveal that AI has successfully improved efficiency in urban areas, particularly in managing civil registration documents and transportation systems. However, implementing AI remains hindered by infrastructure limitations, low digital literacy, algorithmic bias risks, lack of transparency, and concerns regarding data security and privacy, especially in remote regions. This study also highlights that inclusive and ethical AI implementation is crucial to ensuring the benefits of this technology are equitably distributed. Strategic measures such as digital infrastructure development, improving digital literacy, and establishing robust regulations are necessary for AI to become a significant transformative tool in creating more efficient and equitable public services.

Keywords

Artificial Intelligence, Public Services, Digital Transformation, Ethics, Inclusivity

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References

Araujo, L. M. de, Priadana, S., Paramarta, V., & Sunarsi, D. (2021). Digital leadership in business organizations. International Journal of Educational Administration, Management, and Leadership, 2(1), 5–16. https://doi.org/10.51629/ijeamal.v2i1.18

Bai, H. (2021). Role of Digital Technology in Transforming Organizational Competencies Influencing Green Economy: Moderating Role of Product Knowledge Hiding. Frontiers in Psychology, 12, 792550. https://doi.org/10.3389/fpsyg.2021.792550

Boddy, C. R., & Croft, R. (2016). Marketing in a time of toxic leadership. Qualitative Market Research, 19(1), 44–64. https://doi.org/10.1108/QMR-04-2015-0030

Chanias, S., Myers, M. D., & Hess, T. (2019). Digital transformation strategy making in pre-digital organizations: The case of a financial services provider. The Journal of Strategic Information Systems, 28(1), 17–33.

Chen, Y., & Biswas, M. I. (2021). Turning Crisis into Opportunities: How a Firm Can Enrich Its Business Operations Using Artificial Intelligence and Big Data during COVID-19. Sustainability, 13(22), 12656.

Da Silva, M. B. D., Silva, E. C., De Carvalho Filho, F. A., Garcia, T. M., Nunes, I., & Do Nascimento, R. P. C. (2017). Public ICT governance: A quasi-systematic review. In F. J., F. J., S. M., H. S., & C. O. (Eds.), ICEIS 2017 - Proceedings of the 19th International Conference on Enterprise Information Systems (Vol. 2, pp. 351–359). SciTePress. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023189380&partnerID=40&md5=6e3f0d341303ec1a099ceb51d5d7e199

De Carlo, M., Ferilli, G., d’Angella, F., & Buscema, M. (2020). Artificial intelligence to design collaborative strategy: An application to urban destinations. Journal of Business Research. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.09.013

Ji, Z., Wu, X., Chen, X., Zhou, W., & Song, M. (2023). Finding green performance targets globally closest to management goals for ports experiencing similar circumstances. Resources Policy, 85, 103897. https://doi.org/https://doi.org/10.1016/j.resourpol.2023.103897

Júnior, E. L. P., Morreira, M. Â. L., Gomes, C. F. S., dos Santos, M., de Araújo Costa, A. P., dos Santos Sbano Chagas, S., de Araújo Costa, I. P., & Kojima, E. H. (2023). Governance Applicable to Public Organizations: An Analysis based on the Multicriteria Method (MCDM) Parsimonious AHP (PAHP) under the perspective of the Leadership Mechanism in the light of the Union Court of Audits (TCU). In S. Y. (Ed.), Procedia Computer Science (Vol. 221, pp. 697–704). Elsevier B.V. https://doi.org/10.1016/j.procs.2023.08.040

Kumar, G., Singh, R. K., Arya, V., & Mishra, S. K. (2024). Analyzing Barriers in Adoption of Artificial Intelligence for Resilient Health Care Services to Society. Global Journal of Flexible Systems Management, 25(1), 179–197. https://doi.org/10.1007/s40171-024-00373-4

Lee, D., & Yoon, S. N. (2021). Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges. International Journal of Environmental Research and Public Health, 18(1), 271. https://doi.org/10.3390/ijerph18010271

Li, S., & Jiang, F. (2022). An empirical analysis of social public resources digital sharing system: Dissipative structure theory. PLoS ONE, 17(7), e0271300. https://doi.org/10.1371/journal.pone.0271300

Luna-Reyes, L., Juiz, C., Gutierrez-Martinez, I., & Duhamel, F. B. (2020). Exploring the relationships between dynamic capabilities and IT governance: Implications for local governments. Transforming Government: People, Process and Policy, 14(2), 149–169. https://doi.org/10.1108/TG-09-2019-0092

Pariyasiri, A. (2022). Digital Transformation of Public Service by MAEHIA Municipality. International Conference on Digital Government Technology and Innovation, DGTi-Con 2022 - Proceedings, 60–65. https://doi.org/10.1109/DGTi-CON53875.2022.9849201

Rahmani, A., Behbahaninia, P. S., Parsaei, M., & Mahmoudkhani, M. (2023). A public sector financial management maturity model for developing countries: the case of Iran. International Review of Administrative Sciences. https://doi.org/10.1177/00208523231195707

Sarmah, B., Kamboj, S., & Kandampully, J. (2018). Social media and co-creative service innovation: an empirical study. Online Information Review, 42(7), 1146–1179. https://doi.org/10.1108/OIR-03-2017-0079

Seifert, A., & Charness, N. (2022). Digital transformation of everyday lives of older Swiss adults: use of and attitudes toward current and future digital services. European Journal of Ageing, 19(3), 729–739. https://doi.org/10.1007/s10433-021-00677-9

Tao, B., Díaz, V., & Guerra, Y. (2019). Artificial intelligence and education, challenges and disadvantages for the teacher. Arctic Journal, 72(12), 30–50.

Trieu, H. D. X., Nguyen, P. V, Tran, K. T., Vrontis, D., & Ahmed, Z. (2023). Organisational resilience, ambidexterity and performance: the roles of information technology competencies, digital transformation policies and paradoxical leadership. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-05-2023-3750