<![CDATA[The development of information technology has significantly influenced information management and dissemination, including in road infrastructure. However, road condition data collection in Muara Bulian is still conducted manually, resulting in ineffective data management and limited public access to accurate information. This study aims to design and develop a web-based Geographic Information System (Web-GIS) for road conditions in Muara Bulian. The study employed a descriptive qualitative method using observation, interviews, documentation, and literature review for data collection. The system was developed using the Waterfall model, consisting of requirements analysis, system design, implementation, and testing. The application was developed using Python and the Flask framework, with SQLite as the database and Leaflet.js and QGIS to support interactive map visualization. The results show that the system can display road condition information through interactive digital maps, provide road location search and detailed information, support basemap switching, facilitate road data management, and generate reports. Black Box Testing confirmed that all system functions operated according to the specified requirements. The Web-GIS is expected to support the government in managing road infrastructure data and facilitate public access to road condition information effectively and efficiently.]]>
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