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Implementation of the Fuzzy C-Means Method for Clustering Stunting Areas in West Sumatra

Author

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  • Dr. Susila Bahri

    (Department of Mathematics and Data Science, University of Andalas)

  • Rahayu Ningsih

    (Department of Mathematics and Data Science, University of Andalas)

  • Dr. Ahmad Iqbal Baqi

    (Department of Mathematics and Data Science, University of Andalas)

Abstract

Although the prevalence of stunting in Indonesia decreased from 27.6% to 21.6% from 2020 to 2022, this value still exceeds the target prevalence set by the WHO. West Sumatra is one of the provinces that contribute significantly to this prevalence. This research aims to classify 19 regencies and cities into stunting vulnerability groups (high, moderate, low) based on factors contributing to stunting reduction. By employing the FCM method, the study identified four areas with high stunting vulnerability, eight with moderate stunting, and seven with low stunting We performed the computation using Matlab software.

Suggested Citation

  • Dr. Susila Bahri & Rahayu Ningsih & Dr. Ahmad Iqbal Baqi, 2024. "Implementation of the Fuzzy C-Means Method for Clustering Stunting Areas in West Sumatra," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 9(4), pages 186-193, April.
  • Handle: RePEc:bjc:journl:v:9:y:2024:i:4:p:186-193
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