<![CDATA[Poverty remains a major socio-economic challenge in regional development, particularly in Central Java Province, Indonesia. Variations in geographic characteristics, economic structures, and development levels have led to significant disparities in poverty across districts and cities. Based on official data from the Central Bureau of Statistics (BPS) of Central Java, poverty conditions have shown dynamic changes during 2023–2025. This study aims to develop a web-based Geographic Information System (WebGIS) to map the spatial distribution of poverty levels at district and city administrative levels. The research involves collecting poverty data from BPS, processing spatial data using administrative boundary shapefiles, and performing attribute joins between spatial and non-spatial datasets. Thematic maps are created using QGIS and exported into an interactive web format through the qgis2web plugin, integrated into a WebGIS platform built with HTML, CSS, and JavaScript. The resulting WebGIS effectively visualizes spatial patterns and disparities of poverty across regions, allowing users to explore data by year and identify high-poverty areas for development prioritization. This research demonstrates the potential of WebGIS as an analytical and decision-support tool for regional planning, enabling policymakers to design more targeted and data-driven poverty alleviation strategies.]]>
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