Jurnal Ilmiah Multidisiplin Ilmu
Vol. 1 No. 6 (2024): Desember : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)

IMPLEMENTASI RAPIDMINER PADA KLASTERISASI GEMPA BUMI DI INDONESIA BERDASARKAN KEDALAMAN MENGGUNAKAN K-MEANS

Maruf Ubaidillah (Unknown)
Zaehol Fatah (Unknown)



Article Info

Publish Date
11 Dec 2024

Abstract

Indonesia is a meeting place for four major tectonic plates, namely the Carolina Plate, the Philippine Sea Plate, the Indo-Australian Plate, and the Eurasian Plate. Every year thousands of earthquakes strike, causing material losses, infrastructure damage, and even loss of life. Therefore, understanding the characteristics of earthquakes in Indonesia is a crucial step to mitigate disaster risks and improve community preparedness. The dataset used comes from the Kaggle.com website, the dataset is taken from the Earthquake Repository managed by BMKG. The K-Means algorithm is used as a clustering process method in this study. Clustering using K-Means aims to identify the dominant types of earthquakes that occur in regions of Indonesia. The application of this method to earthquakes that occurred in Indonesia based on the identified depth in cluster_0 shows the least earthquakes with the deepest earthquake type. Cluster_1 shows a shallow earthquake type. While cluster_2 is the earthquake with the most occurrences and shows an earthquake with a moderate depth.

Copyrights © 2024






Journal Info

Abbrev

jimi

Publisher

Subject

Other

Description

Jurnal Ilmiah Multidisiplin Ilmu (JIMI) dengan e-ISSN : 3047-2121, p-ISSN : 3047-2113, merupakan platform publikasi jurnal Karya suatu hasil penelitian orisinil atau tinjauan Pustaka yang ditulis oleh Dosen, mahasiswa dan atau Peneliti lainnya. Ruang lingkup karya yang diterbitkan mencakup ...