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All Journal Jurnal Math-UMB.EDU Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi NUSANTARA: Jurnal Pengabdian Kepada Masyarakat PEKERTI Journal Pendidikan Agama Islam & Budi Pekerti Akademika Jurnal Teknologi Pendidikan Journal of Statistics and Data Science
Pratama, Apriliyanus Rakhmadi
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences Other

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Journal : Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi

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Perbandingan Metode Fuzzy C-Means dan Ward Pada Pengelompokkan Desa Berdasarkan Indikator Potensi Desa Akolo, Ingka Rizkyani; Pratama, Apriliyanus Rakhmadi; Nadjamuddin, Asriyati
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 2 December 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v11i2.21820

Abstract

Bone Bolango is one of the districts that has experienced many village and sub-district expansion processes. This expansion process changes the village's potential data. Village potential is the carrying capacity for developing villages in order to improve community welfare. In order to accelerate village development, it is necessary to group villages according to their characteristics so that development is more focused and on target. The aim of this research is to group villages based on indicators of village potential so that groups of villages that have the same characteristics can be obtained, as well as to find out the best method for grouping villages in Bone Bolango Regency. The research results show that the optimum cluster for grouping villages in Bone Bolango Regency based on village potential indicators is the cluster using the ward method because it provides the smallest Xie-Beni index value compared to the fuzzy c-means method. The optimum number of clusters is three clusters. Cluster 1 has high average characteristics consisting of 57 villages, cluster 2 has low average characteristics (except livestock production) consisting of 94 villages and cluster 3 has characteristics of large area and high food production consisting of 9 villages.
Co-Authors Akolo, Ingka Rizkiyani Akolo, Ingka Rizkyani Firdaus Hidayah, Annisa Imanul Masenge, Anugerah Daeng Nadjamuddin, Asriyati Podungge , Mariaty Yasin, Moh Fahri