Fajar Hardoyono
Faculty of Tarbiyah and Educational Sciences, IAIN Purwokerto

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Regional Inequality Based on Infrastructure Indicators Using Principal Component Analysis (PCA) Kikin Windhani; Fajar Hardoyono
EKO-REGIONAL Vol 12, No 2 (2017)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1421.545 KB) | DOI: 10.20884/1.erjpe.2017.12.2.1136

Abstract

This research aimed to identify the development gap among 27 sub-districts in Banyumas Regency based on infrastructure indicators using Principal Component Analysis (PCA). The infrastructure indicators used were the quality of road, lighting, transportation, market, bridges and schools. The data were collected by observation in 27 sub-districts of Banyumas Regency. From the analysis result with PCA, it can be determined that based on infrastructure indicators, the sub-districts in Banyumas Regency were divided into 4 clusters, namely: Cluster I with 1 sub-district; Cluster II with 3 sub-districts; Cluster III with 3 sub-districts, and the remainining 20 sub-districts were in Cluster IV.Keywords: Gap, Infrastructure, Principal Component Analysis (PCA).