Implementation of Naïve bayes Method for Predictor Prevalence Level for Malnutrition Toddlers in Magelang City

Implementation of Naïve bayes Method for Predictor Prevalence Level for Malnutrition Toddlers in Magelang City

Nutritional status is an important factor in assessing the growth and development rate of babies and toddlers. Cases of malnutrition are increasing, especially in magelang city. Because nutritional problems (Malnutrition) can affect the health of toddlers. Therefore, this study aims to predict the l...

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Bibliographic Details
Main Authors: Endah Ratna Arumi, Sumarno Adi Subrata, Anisa Rahmawati
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2023-03-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
malnutrition in children
technology information
predictor
naïve bayes
health issues
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/4438

Internet

http://jurnal.iaii.or.id/index.php/RESTI/article/view/4438

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