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

Chita Nauly Harahap
Ferin Reviantika (Universitas Muhammadiyah Malang)
Yufis Azhar (Universitas Muhammadiyah Malang)

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

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.