The study aims to identify, map, and manage potential rainwater runoff across the Universitas Sebelas Maret (UNS) campus, Surakarta, using a spatial analysis approach based on the Geographic Information System (GIS). The research was motivated by the increasing volume of surface runoff caused by urban expansion within the campus area, particularly due to the rise of impervious surfaces, new building developments, and the reduction of infiltration zones. The methodology integrates empirical hydrological analysis using the Mononobe method to estimate design rainfall intensity, combined with spatial modeling in ArcGIS, including Digital Elevation Model (DEM) data, land-cover maps, and existing drainage networks. Key surface parameters such as slope, elevation, and runoff coefficients were spatially analyzed to produce a surface runoff potential map. The GIS-based simulation allows for identifying high-risk flood-prone zones and estimating the volume of unabsorbed stormwater under different land-use conditions. The results indicate that approximately 19,7% of the UNS campus area is classified as a very high-runoff zone, primarily concentrated around parking areas, main access roads, and building clusters with impermeable surfaces. In contrast, green and vegetated areas effectively reduce runoff by up to 6,7%, demonstrating their role in maintaining local hydrological balance. The outcomes of this research provide a scientific foundation for implementing Low Impact Development (LID) strategies, including rain gardens, infiltration wells, and permeable pavements. These measures are expected to support the UNS Green Campus Initiative, enhance drainage system efficiency, and serve as a replicable model for sustainable rainwater management in other university environments.