By analysing the previous earthquakes in Sumatra region the long term earthquake prediction may help the Government and NGOs for necessary emergency preparedness. In order to predict chaotic behaviour of nature K-Means clustering algorithm is employed over the previous earthquake data for clustering the regions based on the coordinates of the earthquakes occurred places and Laws of Haversine is used further to compute the distance between the main earthquakes and secondary shocks. The 14 years of earthquake data of 8400 samples were collected from various sources. Each cluster results in different radius of the cluster. Based on the laws of Haversine results the data were loaded and analysed. The analysis results show the pattern of earthquakes and its changes. It gives the information about next larger earthquake pattern and place of occurrence.
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