Cluster analysis of Sumatra Island earthquake distribution

Sumatra Island is highly vulnerable to earthquakes due to multiple seismic sources, including megathrusts, faults, and volcanic activities spanning from Aceh to Lampung. The International Seismological Centre (ISC) has recorded 9,414 earthquakes in Sumatra with magnitudes ranging from 4.0 to 9.1 since 1907. Insufficient preparedness in responding to sudden earthquakes challenges local and central governments in managing impacts. To address this, a risk classification of earthquake-prone areas was conducted using cluster analysis. The "K-means cluster" method identified five earthquake clusters in Sumatra. Cluster 4 has the most events (3,787) but with generally lower magnitudes, resulting in minimal damage. Cluster 2, however, is more concerning due to shallow earthquakes from subduction zones, faults, and volcanoes. This clustering analysis provides critical information for government planning in earthquake risk mitigation and preparedness.

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Publication Details

Journal
Desimal Jurnal Matematika
Published
2024-12-30
DOI
https://doi.org/10.24042/djm.v7i3.25108
Primary Topic
Data Mining and Machine Learning Applications
Type
article
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article

Cluster analysis of Sumatra Island earthquake distribution

Sapto Wahyu Indratno, Antonius Nanang T. Puspito, Utriweni Mukhaiyar, Dian Anggraini
Desimal Jurnal Matematika
Data Mining and Machine Learning Applications
article

Cluster analysis of Sumatra Island earthquake distribution

Sapto Wahyu Indratno, Antonius Nanang T. Puspito, Utriweni Mukhaiyar, Dian Anggraini
article en

Abstract

Sumatra Island is highly vulnerable to earthquakes due to multiple seismic sources, including megathrusts, faults, and volcanic activities spanning from Aceh to Lampung. The International Seismological Centre (ISC) has recorded 9,414 earthquakes in Sumatra with magnitudes ranging from 4.0 to 9.1 since 1907. Insufficient preparedness in responding to sudden earthquakes challenges local and central governments in managing impacts. To address this, a risk classification of earthquake-prone areas was conducted using cluster analysis. The "K-means cluster" method identified five earthquake clusters in Sumatra. Cluster 4 has the most events (3,787) but with generally lower magnitudes, resulting in minimal damage. Cluster 2, however, is more concerning due to shallow earthquakes from subduction zones, faults, and volcanoes. This clustering analysis provides critical information for government planning in earthquake risk mitigation and preparedness.

Desimal Jurnal MatematikaVol. 7(3)
Openalex Percentile: Top 49%
Data Mining and Machine Learning Applications
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Cluster analysis of Sumatra Island earthquake distribution — Sapto Wahyu Indratno, Antonius Nanang T. Puspito, et al. · Desimal Jurnal Matematika (2024) | TGRS Research Map | TGRS