Implementasi Metode K-Means dalam Menurunkan Jumlah Balita Stunting di Posyandu Dahlia 10

Authors

  • Silvi Aulia Desa Babakan
  • Seliwati Politeknik Piksi Ganesha Bandung

DOI:

https://doi.org/10.66865/9dtvsm17

Keywords:

Stunting Posyandu Dahlia 10 K-Means Clustering Analisis Risiko Balita

Abstract

Tujuan dari penelitian ini adalah untuk menggunakan metode K-Means Clustering untuk analisis risiko stunting di Posyandu Dahlia 10, Sukabumi. Data yang digunakan adalah data berat badan dan tinggi badan balita yang dikategorikan ke dalam tiga kelompok yaitu rendah, sedang, dan tinggi. Hasil penelitian menunjukkan bahwa pendekatan ini dapat meningkatkan akurasi dalam mengidentifikasi kelompok risiko stunting sehingga intervensi yang lebih tepat dapat dilakukan. Berdasarkan hasil tersebut, diharapkan penelitian ini dapat membantu menentukan prevalensi stunting di Posyandu Dahlia 10 dan berkontribusi pada pengembangan strategi kesehatan masyarakat berdasarkan fakta lokal.

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Published

2025-06-29

Issue

Vol. 2 No. 2 (2025): Juni 2025

Section

Articles

License

Copyright (c) 2025 Silvi Aulia M. Seliwati

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Jurnal Komisi (Komputer dan Sistem Informasi) is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

Implementasi Metode K-Means dalam Menurunkan Jumlah Balita Stunting di Posyandu Dahlia 10. (2025). Jurnal Komputer Dan Sistem Informasi, 2(2), 72-7. https://doi.org/10.66865/9dtvsm17