Analisis Clustering Daerah Rawan Banjir Menggunakan Fuzzy C-Means (Studi Kasus: Bakorwil 2 Jawa Timur)
Floods can endanger human life, such as damaging people's houses, damaging public facilities or infrastructure and residents' agricultural land. The study of flood-prone areas can be a reference to determine the possible magnitude of losses and can be a series of government efforts to reduce disaster risk to be more effective. One area in Indonesia that is prone to flooding is Bakorwil 2 East Java, especially during the rainy season. To map or classify flood-prone areas in this study using Fuzzy C-Means. Clustering results show that 94 sub-districts in Bakorwil 2 East Java are best clustered into 5 clusters, there are 6 sub-districts which are classified as vulnerable areas with very high risk of flooding and as many as 63 sub-districts are included in flood-prone areas with very low risk.