OPTIMIZING PUBLIC SERVICES THROUGH THE APPLICATION OF ARTIFICIAL INTELLIGENCE A CASE STUDY OF INTEGRATED ADMINISTRATIVE SERVICES AT THE SUB-DISTRICT LEVEL

Faria Ruhana; Asriani  Alimuddin; Yogi Syarif  Hidayat; Ufa Anita  Afrilia; Waluyo  Zulfikar

doi:10.54783/jv.v15i2.860

Faria Ruhana Institut Pemerintahan Dalam Negeri
Asriani Alimuddin Universitas Pejuang Republik Indonesia
Yogi Syarif Hidayat Universitas Linggabuana PGRI Sukabumi
Ufa Anita Afrilia Universitas Padjadjaran
Waluyo Zulfikar Universitas Jenderal Achmad Yani

DOI: https://doi.org/10.54783/jv.v15i2.860

Keywords: Artificial Intelligence, Public Services, Local Government, Digital Transformation, Service Optimization, Administrative Efficiency, Mixed-Methods Research.

Abstract

This study explores the optimization of public services through the application of Artificial Intelligence (AI), focusing on a case study of integrated administrative services at the sub-district level. The research aims to understand how AI can enhance the efficiency, accuracy, and accessibility of public services in a local government setting. Employing a mixed-methods approach, the study combines quantitative data analysis of service delivery metrics with qualitative insights from interviews with public officials and service users. The findings reveal that the integration of AI technologies, such as automated data processing, chatbots for customer service, and predictive analytics, significantly improves service delivery times, reduces errors, and increases citizen satisfaction. The study also identifies challenges in implementing AI, including technical infrastructure requirements, staff training needs, and concerns about data privacy and security. The research contributes to the growing body of knowledge on digital transformation in public administration, highlighting the potential of AI to revolutionize local government services. The study concludes with recommendations for policymakers and practitioners on effectively integrating AI into public service frameworks, emphasizing the need for strategic planning, stakeholder engagement, and continuous evaluation.

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