Clustering hasil operasi OLAP untuk datawarehouse HOTSPOT menggunakan algoritme K-means

Abstract

Hayardisi (2008) has developed a datawarehouse as tool to analyze hotspot spread. That application gives information in form of table, crosstab and graph. We improve that aplication by adding webGIS module to visualize hotspot location easily. WebGIS developed using Mapserver and chameleon.To show the distribution problem of hotspot, we clusterize number of hotspot occurencies into four classes low, medium, high and very high using k-means algorithms.