A Data Analysis of the Impact of Natural Disaster in West Java Indonesia Using K-means Clustering Algorithm of Data Mining Technique

Prihandoko Prihandoko


Natural disasters are often happened in Indonesia, where most of them cause serious damages to the country. Most natural disasters are triggered by the weather conditions which are not anticipated before it takes place. The impact of the disaster is quite terrible. The victims of the disasters, for some occasions, are quite high in terms of the number of deaths, missing people, injuries, sufferings and the number of refugees. This research analyses the data of the victims for the last five years, obtained from official institutions that related to the weather conditions at the time the disaster happened. The analysis carried out using data mining technique, i.e. k-means algorithm of clustering. The result of the research shows that the weather condition is only the trigger of the disaster, not the main factor causing the high number of victims. 


data mining, k-means algorithm, clustering


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DOI: https://doi.org/10.21107/kursor.v8i4.1589


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