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

Dr. Susila Bahri, Rahayu Ningsih and Dr. Ahmad Iqbal Baqi
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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

International Journal of Research and Innovation in Applied Science, 2024, vol. 9, issue 4, 186-193

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.

Date: 2024
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