Sistem Pakar Diagnosa Kelainan Stunting Balita Menggunakan Metode KNN Berbasis Web

Amalia Rizki Wulandari; Donny Avianto

doi:10.35870/jimik.v5i1.587

Vol. 5 No. 1 (2024) • Articles

Open Access

Sistem Pakar Diagnosa Kelainan Stunting Balita Menggunakan Metode KNN Berbasis Web

Amalia Rizki Wulandari

Universitas Teknologi Yogyakarta

Donny Avianto

Universitas Teknologi Yogyakarta

DOI: https://doi.org/10.35870/jimik.v5i1.587

Published: January 10, 2024 Pages: 1064-1072

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Abstract

Stunting in young children is a child nutrition problem in Indonesia. This research has the main objective of preventing and overcome it through a technique that can predict stunted babies based on data or information. This study using KNN method uses 125 test data and the value of k = 3 gives an accuracy of 96%. This includes 119 accurate predictions and 6 inaccurate predictions. The aim of this study is to predict the outcome of stunting in toddlers. If they fall into the stunting category, the parents of the toddler must pay more attention to the nutritional development of the toddler to be able to minimize the stunting rate in Indonesia.

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Toddlers Stunting Disease Diagnosis Website

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Author Biographies

Amalia Rizki Wulandari Universitas Teknologi Yogyakarta

Program Studi Informatika, Fakultas Sains & Teknologi, Universitas Teknologi Yogyakarta, Kabupaten Sleman, Daerah Istimewa Yogyakarta, Indonesia

Donny Avianto Universitas Teknologi Yogyakarta

Program Studi Informatika, Fakultas Sains & Teknologi, Universitas Teknologi Yogyakarta, Kabupaten Sleman, Daerah Istimewa Yogyakarta, Indonesia

How to Cite

Wulandari, A. R., & Avianto, D. (2024). Sistem Pakar Diagnosa Kelainan Stunting Balita Menggunakan Metode KNN Berbasis Web. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 5(1), 1064-1072. https://doi.org/10.35870/jimik.v5i1.587

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