Analysis Earthquake in Java Island Using Clustering K-Means Algorithm

  • 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


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.