Application of Naïve Bayes Classifiers for Family Risk Identification and Stunting Intervention Planning

Kurniawan, Wildan Indra and Triloka, Joko (2026) Application of Naïve Bayes Classifiers for Family Risk Identification and Stunting Intervention Planning. Application of Naïve Bayes Classifiers for Family Risk Identification and Stunting Intervention Planning, x (x). xx-xx. ISSN 2548-6861

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Abstract

Application of Naïve Bayes Classifiers for Family Risk Identification and Stunting Intervention Planning Wildan Indra Kurniawan1*, Joko Triloka2* *Fakultas Ilmu Komputer, Institut Informatika Dan Bisnis Darmajaya wildan.2421211003p@mail.darmajaya.ac.id 1, joko.triloka@darmajaya.ac.id 2 Article Info ABSTRACT Article history: Received … Revised … Accepted … Stunting remains a significant public health concern influenced by a combination of social, economic, and environmental factors. This study aims to implement the Naïve Bayes algorithm to support the determination of appropriate intervention strategies for families identified as being at risk of stunting in Metro City. Risk data were obtained from the BKKBN Metro City and underwent preprocessing steps, including Keyword: Data mining, Deteksi dini, Kinerja algoritma, Pencegahan stunting. handling missing values, encoding categorical variables, and feature selection. The dataset was then divided into training, validation, and testing subsets t

Item Type:	Article
Subjects:	Ilmu Komputer eTheses
Divisions:	Pasca Sarjana > Magister Teknik Informatika
Depositing User:	Wildan Indra Kurniawan
Date Deposited:	10 Feb 2026 02:59
Last Modified:	10 Feb 2026 02:59
URI:	http://repo.darmajaya.ac.id/id/eprint/23666

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