Spatial Data Clustering and Zonation of Earthquake Building Damage Hazard Area

¹ Dept of Computer Science, Bina Nusantara University, K.H. Syahdan No.9, Palmerah, Jakarta 11480 Indonesia
² Dept of Computer Science and Electronic, Universitas Gadjah Mada, Sekip Utara, Bulak Sumur, Yogyakarta 55281, Indonesia

Published online: 28 March 2014

Abstract

Research conducted with the aim to develop spatial data cluster and analyse the characteristics of each cluster of data in order to develop spatial zonation of building damage hazard caused by the earthquake in the city of Banda Aceh. The data used consists of the data peak ground acceleration (PGA), lithology and topographic zone data with the four phases of the study consisted of data normalization with min-max method, determination of optimum data group with the connectivity index, Dunn index and the Silhouette index, clustering of data with the k-Means algorithm and the data interpolation using kriging algorithm to construct the zonation of hazard area. The optimum numbers of clusters used in these researches are two, with the first 170 data largely concentrated at a distance of less than 0.1 to 0.5 from the cluster centre and the second 55 others data concentrated at a distance of 0.3 - 0.5 from the cluster centre. Banda Aceh and surrounding areas can be spatially divided into two classes of potential building damage caused by the earthquake with high hazard class building damage are generally located near the coastline.