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Nurhasanah Nurhasanah
Department of Statistics, Faculty of Math and Sciences, University of Syiah Kuala, Banda Aceh 23111, Indonesia

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Clustering Regency/City in Indonesia based on Human Development Index Indicators Nurhasanah Nurhasanah; Nany Salwa; Lyra Ornila
Proceedings of AICS - Social Sciences Vol 7 (2017): 7th AIC in conjuction ICMR 2017 Universitas Syiah Kuala October 2017
Publisher : Proceedings of AICS - Social Sciences

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Abstract

Human Development Index (HDI) is an index that measures the success rate of human development in a region. Development undertaken by the government aims to create a prosperous and peaceful society. The problems that often arise in the development process are the uneven development in every regency/city in Indonesia. This can be seen from the value of HDI is still different in each regency/city in Indonesia. The purpose of this study is to categorize regency/cities in Indonesia based on indicators of HDI. The clustering method is K-means cluster analysis. The data used is the data indicator HDI Indonesia 2015 obtained from BPS website every province. The results of the analysis formed 4 clusters. The first cluster consisted of 20 regency with average HDI indicator is very low, the second cluster consisted of 148 regency/city with average HDI indicator is medium, the third cluster consisted of 88 regency/city with average HDI indicator is very high, and the fourth cluster consists of 258 regency/city with HDI indicators is very high.
Co-Authors Lyra Ornila Nany Salwa