Pemanfaatan Data Administrasi Kependudukan dalam Mendukung Perencanaan Pembangunan Ekonomi Kelurahan di Kota Serang Provinsi Banten

Abstract

Economic development planning at the urban village level requires accurate, up-to-date, and integrated data to ensure that public policies effectively address community needs. This study aims to analyze the utilization of Population Administration (Adminduk) data managed through the Population Administration Information System (SIAK) in supporting the preparation of inclusive, area-based economic development planning in urban villages of Serang City, Banten Province. Specifically, the research examines how population administration data contribute to economic development planning at the urban village level. A qualitative descriptive approach was employed using secondary data obtained from Statistics Indonesia (BPS), the Directorate General of Population and Civil Registration, Serang City Government planning documents, and relevant scientific literature. The study also incorporated spatial-demographic analysis of micro-level Adminduk data from three sample urban villages, namely Cipocok Jaya, Serang, and Unyur. Data analysis followed the interactive model of Miles and Huberman, including data reduction, data display, and conclusion drawing. The findings indicate that the integration of Adminduk data enables precise mapping of the productive-age population, dependency ratio, and occupational structure down to the neighborhood (RT/RW) level. The utilization of these data has improved the targeting accuracy of MSME empowerment programs by 34% compared with conventional macro-level data. However, optimization remains constrained by fragmented data integration among local government agencies, limited digital literacy of urban village officials, and concerns regarding data privacy regulations. This study concludes that Population Administration data constitute a strategic instrument for realizing evidence-based economic planning. Therefore, strengthening digital data interoperability systems and enhancing the analytical capacity of government officials are essential to support faster, more accurate, and more inclusive development decision-making.