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Journal : Tadulako Science and Technology Journal

Grouping of Provinces in Indonesia Based on Infrastructure Development Indicators Using the Ward Method with a Multiscale Bootstrap Approach Nurfatra; Junaidi; Iman Setiawan
Tadulako Science and Technology Journal Vol. 4 No. 1 (2023): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v4i1.16393

Abstract

Infrastructure plays an important role in improving the quality of life and human welfare. Infrastructure is a facility that is needed by every country, including Indonesia, to support various community activities in general in everyday life. However, the problem of inequality in infrastructure development in Indonesia is still a challenge for the government. This study aims to classify provinces in Indonesia based on indicators of infrastructure development. The method used in this grouping is the ward method with the multiscale bootstrap approach to determine the validity of the formed cluster. The results of the grouping show that we obtained 7 clusters where clusters with poor infrastructure development status are cluster 7, clusters with fairly good infrastructure development status, are cluster 6, clusters with good infrastructure development status, are cluster 1, cluster 2, cluster 3 and cluster 4, while cluster with a very good infrastructure development status, are cluster 5. From the 7 clusters formed, we obtained 4 clusters with an approximately unbiased (AU) value greater than and equal to 95, defined as valid clusters and 3 clusters with an AU value of less than and equal to 95, defined as invalid clusters