Analisis Gempa Bumi Pada Pulau Jawa Menggunakan Clustering Algoritma K-Means

Chita Nauly Harahap; Ferin Reviantika; Yufis Azhar

Analysis Earthquake in Java Island Using Clustering K-Means Algorithm

Authors

Chita Nauly Harahap Universitas Muhammadiyah Malang
Ferin Reviantika University of Muhammadiyah Malang
Yufis Azhar University of Muhammadiyah Malang

Keywords:

Earthquake, Data Mining, K-Means Algorithm, DBCSAN Algorithm, Index Sillhoute

Abstract

Java Island is the most populated island in Indonesia with a population over 145 million. It causes mitigation of natural disaster is very important to decrease the damage. Earthquake become one of the natural disasater often happens in Java Island. The data is taken from Indonesian Agency Meteorology, Climatology and Geophysics (BMKG) twitter @infoBMKG with used #Gempa, data start from December 2018 to Maret 2020. The variabels are used is four namely Date, Latitude, Longitude, and Magnitude. Earthquake clustering based on location of earthquake used K-Means algorithm with using DBSCAN algorithm as comparison. The results are visualized using maps and outcome score of index sillhoute are indicate using K-Means more better.

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Published

2020-02-29

Issue

Vol. 9 No. 1 (2020): Jurnal Dinamika Informatika

Section

Articles

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