District/City Grouping Based On Factors Affecting The Level Poverty In North Sumatera With Using Cluster Analysis

Abstract

<span>Poverty is a person's inability to fulfill </span><span lang="EN-US">the </span><span>aspects of life. To overcome the problem of poverty, </span><span lang="EN-US">there are some </span><span>factors </span><span lang="EN-US">which affect</span><span> the poverty level</span><span lang="EN-US">s that </span><span>need to be considered. Th</span><span lang="EN-US">e</span><span> factors that influence </span><span lang="EN-US">the </span><span>poverty</span><span lang="EN-US"> levels are</span><span> economic growth, unemployment, and education. Poverty in each region has different characteristics, and therefore it is necessary to group the regions so that </span><span lang="EN-US">the </span><span>solutions can be implemented in accordance with each of the characteristics of the region. The purpose of this study is to </span><span lang="EN-US">cluster</span><span> districts/cities in North Sumatra </span><span lang="EN-US">in accordance with the </span><span>factors that affect poverty levels in each region using cluster analysis based on the centroid linkage method. Cluster analysis is a grouping into clusters so that objects in a cluster are more similar to each other than </span><span lang="EN-US">the </span><span>objects in other clusters. From the clustering </span><span lang="EN-US">result of </span><span>cluster analysis </span><span lang="EN-US">by </span><span>using the centroid linkage method shows that</span><span lang="EN-US"> there are four groups of districts/cities which are incorporated based on each factor that affects poverty levels, namely, economic growth, unemployment, and education.</span>