Jurnal Sains Sosio Humaniora
Vol. 5 No. 2 (2021): Volume 5, Nomor 2, Desember 2021

Classifying Regencies and Cities on Human Development Index Dimensions: Application of K-means Cluster Analysis

Nurhasanah Nurhasanah (Universitas Syiah Kuala)
Nany Salwa (Universitas Syiah Kuala)
Lyra Ornila (Universitas Syiah Kuala)
Amiruddin Hasan (Universitas Syiah Kuala)
Martahadi Mardhani (Universitas Samudra)



Article Info

Publish Date
26 Oct 2023

Abstract

The Human Development Index (HDI) is a measurement that analyzes a region's development in improving human development. The government's development plan aims to create a successful and peaceful life. The unbalanced development in every regency and city in Indonesia is a typical issue during the development process. It may also be shown that the HDI level changes across regencies and cities in Indonesia. This research aims to identify Indonesian regencies and cities based on HDI indices. K-Means clustering algorithm is the clustering method adopted. The results of the analysis formed 4 clusters. The first cluster consisted of 20 regencies with a low average HDI indicator. The second cluster consisted of 148 regencies and cities with an average HDI indicator is medium. The third cluster consisted of 88 regencies and cities with an average HDI indicator. The fourth cluster consists of 258 regencies and cities with high HDI indicators

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Journal Info

Abbrev

JSSH

Publisher

Subject

Arts Humanities Education Social Sciences

Description

Jurnal Sains Sosio Humaniora (JJSH) |E-ISSN: 2580-2305|P-ISSN: 2580-1244|is an open-access published by Research institutions and community service (LPPM), Universitas Jambi, Indonesia. receives research-based and conceptual articles in the fields of humanities and social science which have not been ...