An earthquake is the result of a sudden release of stored energy n the Earth’s crust that creates seismic waves. In term of the earthquake, this study aimed to cluster which areas were the most affected by earthquake occured in Java Province in 2017. The algorithm used in this study was Self Organizing Maps algorithm (SOMs) with Cohonen as a type of Artificial Neural Networks (ANN) that is trained using unsupervised learning in decision making. In addition, the clustering results through its algoritm are functioned as a base of determining the eartquake pattern criteria and which areas often occurred in order to be able to mitigate earthquake that causes fatal impacts.