JOIN (Jurnal Online Informatika)
Vol 8 No 1 (2023)

Classification of Stunting in Children Using the C4.5 Algorithm

Yunus, Muhajir (Unknown)
Biddinika, Muhammad Kunta (Unknown)
Fadlil, Abdul (Unknown)



Article Info

Publish Date
28 Jun 2023

Abstract

Stunting is a disease caused by malnutrition in children, which results in slow growth. Generally, stunting is characterized by a lack of weight and height in young children. This study aims to classify stunting in children aged 0-60 months using the Decision Tree C4.5 method based on z-score calculations with a sample size of 224 records, consisting of 4 attributes and 1 label, namely Gender, Age, Weight, Height, and Nutritional Status. The results of the study obtained a C4.5 decision tree where the Age variable influenced the classification of stunting with the highest Gain Ratio of 0.185016337. Meanwhile, the evaluation of the model using the Confusion matrix resulted in the highest accuracy of 61.82% and AUC of 0.584.

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Journal Info

Abbrev

join

Publisher

Subject

Computer Science & IT

Description

JOIN (Jurnal Online Informatika) is a scientific journal published by the Department of Informatics UIN Sunan Gunung Djati Bandung. This journal contains scientific papers from Academics, Researchers, and Practitioners about research on informatics. JOIN (Jurnal Online Informatika) is published ...