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All Journal Journal La Multiapp SENTRI: Jurnal Riset Ilmiah Jurnal Psikologi dan Konseling West Science Jurnal Administrasi Negara dan Ilmu Pemerintahan Elsia: Jurnal Psikologi Manusia Mohuyula : Jurnal Pengabdian Kepada Masyarakat
Salahuddin Liputo, Salahuddin
Universitas Muhammadiyah Malang
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Engineering Health Professions Law, Crime, Criminology & Criminal Justice Neuroscience Public Health Social Sciences Other

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Journal : Journal La Multiapp

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Prediction of Mental Health of Elementary School (SD) Students using the Decision Tree Algorithm with K-Fold CV testing in Bone Bolango Regency, Gorontalo Province. Liputo, Salahuddin; Tupamahu, Frangky
Journal La Multiapp Vol. 5 No. 1 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i1.853

Abstract

Mental health is a fundamental component of the WHO definition of health, which means not only being free from disease but also being physically, mentally and socially healthy. Currently, mental health has become a major issue in modern society because if it is good it will enable us to realize our own potential, overcome the normal stresses of life, work productively, and be able to contribute to the society in which we live. In Indonesia, problems related to mental health are related to the lack of mental health detection tools. Meanwhile abroad, much research has been developed regarding mental health detection based on innovative technology using Machine Learning. This research aims to predict mental health using the Social Emotional Health Survey-Secondary (SEHS-S) as a prediction evaluation criterion using Machine Learning with the Decision Tree algorithm method with K-Fold CV testing. The sample in this research was elementary school students in Bone Bolango Regency, Gorontalo Province.
Prediction of Elementary School Students' Mental Health using Decision Tree Algorithm with K-Fold Cross-Validation in Bone Bolango Regency, Gorontalo Province Liputo, Salahuddin; Tupamahu, Franky; Hasyim, Wahyudin; Sabiku, Sri Ariyanti; Parman, Rahmawaty; Hanapi, Aan
Journal La Multiapp Vol. 4 No. 6 (2023): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v4i6.1005

Abstract

Mental health is a fundamental component of the World Health Organization's definition of health, encompassing not only freedom from illness but also well-being in physical, mental, and social dimensions. In today's modern society, mental health has become a paramount issue, as its soundness enables individuals to realize their own potential, cope with normal life pressures, work productively, and contribute effectively to their communities. In Indonesia, mental health-related challenges are associated with the absence of a reliable mental health detection tool. Conversely, abroad, there has been a substantial amount of research focused on innovative technology-based mental health detection using Machine Learning. This study aims to predict mental health using the Social Emotional Health Survey-Secondary (SEHS-S) as the evaluation criterion for prediction through Machine Learning. The Decision Tree algorithm is employed, and the prediction model is tested using K-Fold Cross-Validation, resulting in 8 folds with an accuracy rate of 78.61%.
Co-Authors Ananda, Silvana Basara, Yuliyanti Dako, Viranti Hamid, Mutia Hanapi, Aan Indarwati, Anik Khudzaifa, Siti Kum, Thamrin A. Kurniawati, Sri Ayu M Ladiku, Sintiya Mohi, Sri Astita Mursyid, Muhammad Musa, Nur Fadilah Ntobuo, Fendi Ointu, Renaldi Pantulu, Seruni Parman, Rahmawaty Rahim, Putri Sabiku, Sri Ariyanti Syamsuddin, Lenny Syamsyuddin, Lenny tupamahu, frangky Tupamahu, Franky Utina, Rachma Chairunnisa Wahyudin Hasyim Widyasri, Nur Aisyah