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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Muhhamad Zulkifli
Universitas Islam Indragiri
Automotive Engineering Computer Science & IT Control & Systems Engineering

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Web-Based Geographic Information System (GIS) for Village Asset Management in Sungai Raya Village Muhhamad Zulkifli; Dwi Yuli Prasetyo; Bayu Rianto
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 6 No. 1 (2026): October 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v6i1.2625

Abstract

The development of information technology has led to the emergence of various systems to assist in managing spatial data, one of which is Geographic Information System (GIS). GIS offers a digital and efficient solution for asset management, especially in areas that lack integrated data systems, such as Sungai Raya Village, Batang Tuaka Subdistrict, Indragiri Hilir Regency. Currently, asset data collection in the village is not conducted systematically, which hinders the identification, monitoring, and data-based decision-making processes. This study aims to design and develop a web-based geographic information system that can digitally map village assets and visually display the information using map imagery. The system is developed using PHP programming language and MySQL database, following the waterfall model in the system development life cycle. The resulting system is expected to improve efficiency in asset identification, simplify maintenance processes, and support accurate and transparent decision-making. By implementing GIS for asset management, Sungai Raya Village is expected to manage its resources more optimally and sustainably.
Co-Authors Bayu Rianto Dwi Yuli Prasetyo