JASDS: Journal of Applied Statistics and Data Science
Vol. 2 No. 1 (2025): Journal of Applied Statistics and Data Science

Implementation of ST-DBSCAN Algorithm to Cluster Regency / City in West Java Province Based on Natural Disaster Occurrence in 2020-2022




Article Info

Publish Date
28 Mar 2025

Abstract

Natural disaster is an occurrence that threatens and disrupts the lives of living things caused by natural factors and causes environmental damage, casualties, and so on. One of the regions in Indonesia that experienced natural disasters with high intensity in the 2020-2022 timeframe is West Java Province. The purpose of this study is to group regency/city in West Java Province based on the occurrence of natural disasters in 2020-2022 and the characteristics of each cluster formed. This research uses spatio temporal data applied to the Spatio Temporal-Density Based Clustering of Application with Noise (ST-DBSCAN) algorithm using 3 variables, namely the incidence of floods, landslides, and tornadoes in West Java Province in 2020-2022. This study uses the parameters epsilon 1 of 10, epsilon 2 of 30, and minimum points of 3 using the K-NN algorithm to form clusters from the ST-DBSCAN algorithm. The results showed that 2 clusters and 11 noise points were formed with a silhouette coefficient value of 0.5176, where cluster 1 consisted of 66 regency/city, cluster 2 consisted of 4 regency/city and 11 regency/city were included in the noise.

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Journal Info

Abbrev

jasds

Publisher

Subject

Computer Science & IT Mathematics

Description

JASDS : Journal of Applied Statistics and Data Science (e-ISSN: 3048-4391) is a journal managed by Universitas Brawijaya , Malang, Indonesia, and associated with FORSTAT (Forum Pendidikan Tinggi Statistika) which is published twice a year (in March and October). The objectives of Journal of Applied ...