Abstract
Floods frequently occur in The District of Garut, representing a natural disaster. Currently, the National Disaster Management Agency (BNPB) is actively engaged in monitoring the landscape conditions of the Watershed River (DAS) to mitigate the impact of floods. To better understand and map this specific natural disaster, a program has been developed for in-depth analysis. This program has successfully assessed the susceptibility level to floods and categorized various areas in Garut as safe, prone, or flood-prone. To elaborate further, this study utilizes the Fuzzy Inference System Mamdani as a calculation process. Several factors influence this calculation process, including rainfall intensity, watershed area, land slope, altitude, population density, and risk level. Overall, the research findings indicate a 92.30% level of accuracy compared to the flood-prone catalog released by the national government, demonstrating its applicability in real-world scenarios.
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