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All Journal JISKa (Jurnal Informatika Sunan Kalijaga)
Almanna Hussein
UIN Sumatera Utara
Computer Science & IT Electrical & Electronics Engineering Library & Information Science

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Analisis Klasifikasi Broken Home pada Anak Menggunakan Metode Naïve Bayes Classifier Supiyandi Supiyandi; Supiyandi Supiyandi; Almanna Hussein; Irwan Gunawan; William Lutfi Rahman Harjo
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 8 No. 2 (2023): Mei 2023
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2023.8.2.90-101

Abstract

Broken home is a term that defines a situation in a family where most people handle no harmony, happiness, or peace. The impact of a broken home on a depressed family on children who can experience mental, emotional, and behavioral changes that are uncontrolled and undirected. Therefore, a classification is needed to categorize a child in a family as a broken home or not. The classification process will apply the Naïve Bayes Classifier classification method by taking into account the factors that refer to the statement that a child is called a broken home. With this classification, it is hoped that it can help know what and how a broken home child can be called a broken home and with this classification, it is expected that parents can minimize broken homes in children in the future by paying attention to the determining factors.
Co-Authors Irwan Gunawan Munadi Munadi Supiyandi Supiyandi William Lutfi Rahman Harjo