Poverty Spatial Pattrern In Indramayu

Abstract

It is assumed that poverty in one area is related to poverty in adjacent area. Hence, poverty is distributed following a certain pattern creating a cluster. An area or cluster having high density of poverty significantly is called hotspot. In this research, Flexibly shaped spatial scan statistic Method was used for detecting cluster and hotspot. A correlogram is created to explain that distance no correlation among poverty areas. Information about hotspot and correlogram can be used to act a program of poverty alleviation. Based on the results, there are 7 clusters high significant different with other cluster. In the seven cluster, there are 70 hotspot areas. The average distance of no correlation among poverty is 5.714 Km. To create poverty alleviation program efficiently, it is recommanded to implement in the middle of cluster.