Open AccessRegional Clustering Based On HDI Components In Indonesia
Author(s) -
Azlam Nas,
Sri Mulatsih,
Muhammad Findi
Publication year - 2021
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrset21813
Subject(s) - cluster (spacecraft) , cluster analysis , group (periodic table) , panel data , distribution (mathematics) , geography , mathematics , statistics , computer science , mathematical analysis , chemistry , organic chemistry , programming language
This research aims to see the distribution of HDI in Indonesia as seen from its grouping based on its constituent components. The panel data regression model is formed from the results of cluster analysis using the K-means method using the Manhattan distance. The data used for cluster analysis is the panel data of the HDI components by province in 2010-2019. The results of the cluster analysis form 5 optimum groups, with the characteristics of group 1, HDI is relatively moderate, group 2 is also relatively moderate but not better than group 1, group 3 is relatively high, group 4 is relatively low, and group 5 is relatively very high.