COMPARISON OF REGIONAL CLUSTER ANALYSIS ACCORDING TO INCLUSIVE DEVELOPMENT INDICATORS IN JAVA ISLAND 2018 BETWEEN HIERARCHICAL AND PARTITIONING CLUSTERING STRATEGIES

Gross Domestic Product (GDP) is one of the most common indicators to reflect a nation’s development. Indonesia's GDP has an average growth rate 5 percent over 2015-2019 period with highest occurred in 2018. Furthermore, provinces Java Island contributed out any province Indonesia’s that year. However, development still several issues, such as high poverty, unequal income distribution, and unemployment. This problem indicates economic not been inclusive concerning study aims group regencies/municipalities based on growth. These refer McKinley (2010) journal published by Asian Development Bank (ADB). The cluster methods used represent each hierarchical partitioning are Agglomerative Nesting (AGNES) K-Means methods. results this show there 3 clusters AGNES method 4 method. Clusters good characteristics dominated municipality areas Meanwhile, low Madura comparison appropriate silhouette value