Grouping of Provinces in Indonesia Based on Active Family Planning Participants Using Modern Methods Using Fuzzy C-Means

Authors

  • Annisa Ramadhani Universitas Negeri Padang
  • Tessy Octavia Mukhti Universitas Negeri Padang
  • Yenni Kurniawati Universitas Negeri Padang
  • Zamahsary Martha Universitas Negeri Padang

DOI:

https://doi.org/10.24036/ujsds/vol3-iss2/365

Keywords:

Family Planning Program, Modern Contraceptives, Indonesia, Fuzzy C-Means

Abstract

Indonesia’s rapid population growth presents a significant challenge to national welfare and public health. One of the key strategies implemented by the government to address this issue is the Family Planning (FP) program, which emphasizes the use of modern contraceptive methods. However, the utilization of these methods remains uneven across provinces. This study aims to cluster Indonesian provinces based on the number of active participants using modern contraceptive methods in 2023 by applying the Fuzzy C-Means (FCM) clustering algorithm. FCM was selected due to its ability to handle overlapping data characteristics, allowing for a more flexible and representative analysis. The clustering results reveal two main clusters: Cluster 1, which consists of provinces with high levels of active modern contraceptive users, and Cluster 2, which includes provinces with low participation levels. These findings are expected to serve as a reference for more targeted policy formulation to enhance the equity and effectiveness of the FP program across the country.

Published

2025-05-31

How to Cite

Ramadhani, A., Tessy Octavia Mukhti, Yenni Kurniawati, & Zamahsary Martha. (2025). Grouping of Provinces in Indonesia Based on Active Family Planning Participants Using Modern Methods Using Fuzzy C-Means. UNP Journal of Statistics and Data Science, 3(2), 212–219. https://doi.org/10.24036/ujsds/vol3-iss2/365

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