Analisis Pengelompokan Daerah Rawan Banjir Kota Medan Menggunakan Fuzzy C-Means
DOI:
https://doi.org/10.47065/jieee.v5i4.3062Keywords:
Flood; Environmental Factors; Fuzzy C-Means; Clustering; Medan CityAbstract
Flooding is an environmental problem that frequently occurs in urban areas and causes significant impacts on social, economic, and environmental aspects. Medan City, as one of the major cities in Indonesia, has a relatively high level of flood vulnerability due to a combination of natural factors and human activities. Environmental factors such as rainfall and population density play an important role in determining the level of flood vulnerability in a region. This study aims to classify flood vulnerability levels in Medan City based on these environmental factors using the Fuzzy C-Means (FCM) method. The FCM method was chosen because it can handle data uncertainty and provide membership degrees for each area to more than one cluster. The data used in this study are secondary data obtained from official institutions, including elevation and population density. The results show that the areas of Medan City can be grouped into three main clusters: low, medium, and high flood vulnerability. Areas with high vulnerability are generally characterized by low elevation and high population density. The results of this clustering are expected to serve as a scientific basis to support flood mitigation planning and control by the local government.
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Badan Pusat Statistik Kota Medan, Kota Medan Dalam Angka 2024. Medan: BPS Kota Medan, 2024.
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