Dhoriva Urwatul Wutsqa, Sarah Khairunnisa
Bantul is one of the regencies in Yogyakarta Special Region which is frequently flooding. This research aims to map the flood-susceptibility areas in Bantul Regency based on the clustering results. The variables used in this research are elevation, slope, land use, rainfall, type of soil, and districts through which the river passes. The first four variables are numerical data and the remaining variables are categorical data. The fuzzy clustering ensemble method is proposed, it combines fuzzy C-means to process the numerical data and fuzzy C-modes to process the categorical data. The number of clusters is determined by considering the Xie Beni Index and Partition Coefficient Index cluster validation. The result shows that there are four clusters with XBI value 0.999 and PCI value 0.786. The flood-susceptibility areas in Bantul are divided into 4 levels including very high, high, low, and very low. The very high susceptibility area is characterized by Regosol soil type and residential area and the high susceptibility area is dominated by Cambisol soil type and residential area. The low and very low susceptibility areas are characterized by Latosol soil type and rice field land use. The difference between low and very low areas is on the intensity rainfall variable. It is in level 4 for the low area and level 2 for the very low area. The variables elevation, slope, and districts through which the river passes indicate the same level for all areas. © 2024 Author(s).
Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia; Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia
