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

Penulis

  • 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

Kata Kunci:

The Family Planning Program, Active Modern Method KB Participant, Fuzzy C-Means

Abstrak

The Family Planning Program (KB) operates as a government initiative which controls both population numbers and birth interval lengths in communities. The program works to enhance family and community welfare through education and reproductive health service delivery which simultaneously helps decrease maternal and infant death rates. The Modern KB Method requires active participation from couples who have children and continue using modern contraception without interruptions in pregnancy. The data organization technique called cluster analysis groups similar data points into clusters where items within the same group share many similarities but differ substantially from items in other groups. Fuzzy C-Means represents a clustering approach which enables data points to connect with different groups at various intensity levels. The Fuzzy C-Means cluster analysis produced 3 clusters in this research study.

Unduhan

Diterbitkan

2025-05-31

Cara Mengutip

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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