Identification of the distribution village maturation: Village classification using Density-based spatial clustering of applications with noise

Jurnal Teknologi dan Sistem Komputer

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Title Identification of the distribution village maturation: Village classification using Density-based spatial clustering of applications with noise
 
Creator Okfalisa, Okfalisa
Angraini, Angraini
Novi, Shella
Rusnedy, Hidayati
Handayani, Lestari
Mustakim, Mustakim
 
Subject clustering; density-based spatial clustering of applications with noise; Python; silhouette coefficient;village maturity
 
Description The rural development measurement is undoubtedly not easy due to its particular needs and conditions. This study classifies village performance from social, economic, and ecological indices. One thousand five hundred ninety-one villages from the Community and Village Empowerment Office at Riau Province, Indonesia, are grouped into five village maturation classes: very under-developed village, under-developed village, developing village, developed village, and independent village. To date, Density-based spatial clustering of applications with noise (DBSCAN) is utilized in mining 13 of the villages’ attributes. Python programming is applied to analyze and evaluate the DBSCAN activities. The study reveals the grouping’s silhouette coefficient values at 0.8231, thus indicating the well-being clustering performance. The epsilon and minimum points values are considered in DBSCAN evaluation with percentage splits simulation. This grouping can be used as guidelines for governments in analyzing the distribution of rural development subsidies more optimal.
 
Publisher Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
 
Date 2021-07-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://jtsiskom.undip.ac.id/article/view/13998
10.14710/jtsiskom.2021.13998
 
Source Jurnal Teknologi dan Sistem Komputer; Volume 9, Issue 3, Year 2021 (July 2021); 133-141
Jurnal Teknologi dan Sistem Komputer; Volume 9, Issue 3, Year 2021 (July 2021); 133-141
2338-0403
 
Language eng
 
Relation https://jtsiskom.undip.ac.id/article/view/13998/12691
https://jtsiskom.undip.ac.id/article/downloadSuppFile/13998/658
 
Rights Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
https://creativecommons.org/licenses/by-sa/4.0
 

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