Spatial Cluster Analysis of Land Seismicity in the Northem Part of Sumatra Using the K-Medoids Algorithm
Hanifullah Hafidz Arrizal, Marzuki Sinambela, Widodo Widodo, Suko Prayitno Adi, Herri Trisna Frianto · 2023
In the seismic-prone region of Northern Sumatra, where recent events like the Toba earthquake swarm have reshaped the land's seismic dynamics, understanding the spatial distribution and clustering of earthquakes is paramount for disaster mitigation. This study employs the K-Medoids algorithm to analyze seismic data from January 2019 to 2023, providing crucial insights into seismic event clustering. While K=2 emphasizes depth distinctions, K=3 unravels a nuanced perspective, capturing differences in both depth and geographical location of seismic events. The validity analysis supports these findings, contributing significantly to seismic hazard assessment in North Sumatra. This research underscores the need for ongoing study and heightened preparedness in earthquake-prone regions.