@inproceedings{5dda6c3df4c640e3a8b32d5dc2dbf422,
title = "Principal component analysis and cluster analysis for development of electrical system",
abstract = "This paper proposes an approach for development of electrical system. The proposed approach is combination of principal component analysis (PCA) and cluster analysis. This research based on relevant data of total population, gross domestic regional product (GDRP), GDRP of industry, GDRP of business, electric power each customer and energy used for each sector. This development profile is set up to show the condition of electrical system of each region, that will be used to support policy development electrical system of spatial development in the future. This paper considers 24 regions in South Sulawesi province as development center points and use principal component analysis (PCA) to assess the regional profile for development. Cluster analysis is used to group these region into clusters according to the new variable produced PCA. The general planning of electrical system of South Sulawesi province can provide support for policy making of electrical system development. The future will include add on research several variables.",
keywords = "cluster analysis, development, electrical system, principal component analysis, spatial",
author = "Iswan and K., {Iwa Garniwa M.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 15th International Conference on Quality in Research: International Symposium on Electrical and Computer Engineering, QiR 2017 ; Conference date: 24-07-2017 Through 27-07-2017",
year = "2017",
month = dec,
day = "5",
doi = "10.1109/QIR.2017.8168526",
language = "English",
series = "QiR 2017 - 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "439--443",
booktitle = "QiR 2017 - 2017 15th International Conference on Quality in Research (QiR)",
address = "United States",
}