IMPLEMENTASI FUZZY C-MEAN DAN ALGORITMA PARTICLE SWARM OPTIMIZATION UNTUK CLUSTERING KABUPATEN/KOTA DI INDONESIA BERDASARKAN INDIKATOR INDEKS PEMBANGUNAN MANUSIA
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https://doi.org/10.24843/MTK.2022.v11.i03.p380
Abstrak
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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2022-08-31
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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. Tersedia pada: <https://ojs.unud.ac.id/index.php/mtk/article/view/90745>. Tanggal Akses: 15 oct. 2025
doi: https://doi.org/10.24843/MTK.2022.v11.i03.p380.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
