Authors:

I KADEK SONA DWIGUNA, G.K. GANDHIADI, LUH PUTU IDA HARINI

Abstract:

“This research is aimed to determine conduct clustering in accordance with the conditions of districts / cities throughout Indonesia based on the IPM indicator and to determine the performance comparison of Fuzzy C-Means using particle swarm optimization compared to ordinary fuzzy c mean. The study uses 514 district / city data in Indonesia based on four IPM indicators. The research show 4 clusters that describe the condition of the Indonesian region and based on the results of cluster validation shows that there are differences in the ordinary Fuzzy C-Means mean algorithm and Fuzzy C-Means using particle swarm optimization.”

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PDF:

https://jurnal.harianregional.com/mtk/full-90745

Published

2022-08-31

How To Cite

DWIGUNA, I KADEK SONA; GANDHIADI, G.K.; HARINI, LUH PUTU IDA. IMPLEMENTASI FUZZY C-MEAN DAN ALGORITMA PARTICLE SWARM OPTIMIZATION UNTUK CLUSTERING KABUPATEN/KOTA DI INDONESIA BERDASARKAN INDIKATOR INDEKS PEMBANGUNAN MANUSIA.E-Jurnal Matematika, [S.l.], v. 11, n. 3, p. 191-198, aug. 2022. ISSN 2303-1751. Available at: https://jurnal.harianregional.com/mtk/id-90745. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MTK.2022.v11.i03.p380.

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Issue

Vol 11 No 3 (2022)

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License