Avisena, Melany Febrina
Indonesia is a country comprising many islands and having an extensive coastline where coastal communities frequently engage in various activities. Tsunamis are a natural disaster risk in these coastal regions. This study aims to identify areas prone to tsunamis and analyze their characteristics using variables such as longitude, latitude, focal depth, and earthquake magnitude. The Density-Based Spatial Clustering of Application with Noise (DBSCAN) and OPTICS algorithms were used to group the tsunami datasets. © Published under licence by IOP Publishing Ltd.
Physics Department, Institut Teknologi Sumatera, Lampung, Indonesia
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