Pengelompokan Kab/Kota di Sumatera Barat Berdasarkan Penggunaan Metode Kontrasepsi Jangka Panjang Menggunakan Algoritma KMedoids

Rahmika Alya

Abstract


The increasing population in West Sumatra poses challenges in birth control. The Family Planning (FP) program addresses this through Long-Term Contraceptive Methods (LTCM) such as tubectomy, vasectomy, IUD, and implants. However, LTCM adoption remains uneven across districts/cities, limiting program effectiveness. This study aims to classify districts/cities in West Sumatra based on LTCM usage using the K-Medoids algorithm, which is more robust to outliers compared to K-Means. Secondary data were obtained from the 2024 SIGA BKKBN database on the number of reproductive-age couples (RAC) using LTCM. The analysis included outlier detection with boxplots, data standardization, and clustering using K-Medoids with Silhouette methods to determine the optimal cluster. The results revealed two clusters: one with 14 regions of low LTCM usage and another with 5 regions of higher usage. These findings indicate disparities in contraceptive adoption, highlighting the need for targeted policies to increase LTCM use in low-usage regions.


Keywords


k-medoids; clustering; LTCM

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References


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DOI: https://doi.org/10.26877/imajiner.v7i6.25067

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