Cipasung Techno Pesantren: Scientific Journal
Vol 16 No 2 (2022): Cipasung Techno Pesantren: Scientific Journal

Implementasi Algoritma k-Nearest Neighbor (k-NN) dalam Klasifikasi Status Gizi Balita

Sahara Syarifatul Choeriyah (Program Studi Informatika Sekolah Tinggi Teknologi Cipasung)
Riezan Syauqi Fanhas (Program Studi Informatika Sekolah Tinggi Teknologi Cipasung)
Adittia Fathah (Program Studi Sistem Informasi STMIK LIKMI Bandung)
Haerul Pebriyansyah (Program Studi Informatika Sekolah Tinggi Teknologi Cipasung)

Article Info

Publish Date
06 Sep 2022

Abstract

Toddlers are children under the age of 5 years or 0-60 months. This age is included in a group that is at high risk of disease. Nutritional status in toddlers is an important factor that must be considered because the development of toddlers is very important for their bodies which are still very vulnerable to the name malnutrition.The purpose of this study is to group the nutritional status of toddlers by utilizing the k-NN algorithm and knowing the level of accuracy. The method used in this research is quantitative using the k-NN algorithm. While the evaluation uses Confusion Matrix The results showed an AUC value of 85.1%. Based on these results, it can be concluded that the k-NN algorithm is well used for the classification of toddler nutrition in the future.

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Journal Info
Cipasung Techno Pesantren: Scientific Journal
Website

Abbrev

CTP

Publisher

Sekolah Tinggi Teknologi Cipasung

Subject

Computer Science & IT Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

Description

Cipasung Techno Pesantren (CTP) which is published biannually is a scientific journal that contains scientific articles from community services, original research, and literature review in the fields of engineering, science, and technology, especially in the following area: Industrial Engineering ...