Pemodelan Spasial Banjir Rob untuk Penentuan Tempat Evakuasi Sementara Berbasis UAV (Unmanned Aerial Vehicle) di Kelurahan Paya Pasir Kota Medan

Abstract

Unmanned Aerial Vehicle (UAV) technology offers significant advantages in disaster mitigation due to its operational flexibility and ability to rapidly and accurately map affected areas. This study aims to identify safe locations for Temporary Evacuation Shelters (TES) for the community during tidal flooding in Paya Pasir Subdistrict, Medan Marelan District, Medan City. The research was conducted from February to May 2025, employing Object Based Image Analysis (OBIA) to classify land use and Boolean Analysis for flood modeling. The modeling applied binary logic (1 = inundated, 0 = non-inundated) with four flood scenarios at water levels of 50, 100, 150, and 200 cm. The classification produced seven land use classes: water bodies, roads, open land, mangroves, settlements, fishponds, and non-mangrove vegetation. The largest land-use class was mangroves, covering 200.68 ha, while the smallest was roads with 19.58 ha. The simulated inundation areas were 290.56 ha (50 cm), 321.33 ha (100 cm), 388.06 ha (150 cm), and 465.86 ha (200 cm). Based on the simulation results, 13 potential TES locations were identified, including schools, mosques, prayer halls (mushola), and the village office. The findings are expected to serve as a reference for local governments in developing disaster mitigation plans and evacuation strategies for coastal areas affected by tidal flooding.