Clustering sub-districts based on the number of disasters in East Java using the hierarchical cluster method

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Authors: Muhammad Fariz Fadillah Mardianto, Mochamad Rasyid Aditya Putra, Marcelena Vicky Galena, Pressylia Aluisina Putri Widyangga, Maria Setya Dewanti, Bintang Alyaa Sabila, Cinta Avriela Aji, Hermanto
Cited by: 0
References: 6

Abstract

Calamities of a natural origin are those precipitated by occurrences or sequences of phenomena instigated by the forces of nature, encompassing seismic disturbances, oceanic surges, volcanic outbursts, inundations, arid spells, cyclonic tempests, and terrestrial slippages. Natural disasters in East Java are one of the concerns of the government and the community. Throughout 2022 to 2023 in East Java, various natural disasters were recorded, including floods, earthquakes and landslides. This study focuses on clustering sub-districts in East Java based on the number of disasters that occurred, namely floods, earthquakes and landslides, using four hierarchical clustering methods: single linkage, complete linkage, average linkage, and ward. In comparison, it was found that the ward method is the most optimal method based on the icdrate value. Based on the outcomes of the optimal cluster graph and the lowest icdrate value, 5 optimal clusters were obtained from the grouping of natural disaster events that occurred in each sub-district. This finding is important for disaster mitigation planning in line with SDGS 13 "Climate Change Management" by emphasizing the effectiveness of the ward method in identifying disaster risk patterns for the development of more appropriate mitigation strategies.

Fields of Study & Subjects

Data Mining and Machine Learning Applications Disaster Management and Resilience Advanced Clustering Algorithms Research

Publication details

Journal / source
AIP conference proceedings
Volume
3326
Pages
080028–080028
Publication date
1 January 2026
Language
EN