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All Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) ICIT (Innovative Creative and Information Technology) Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi JOURNAL LA MEDIHEALTICO Journal of Artificial Intelligence and Engineering Applications (JAIEA) Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Indonesia : Manajemen Informatika dan Komunikasi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Taufan Abdurrachman
Unknown Affiliation
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Prototype Protection Mobile: AI-Powered Mental Health Screening for Building Inclusive Campus Agustina, Habsyah Saparidah; Haryati, Haryati; Abdurrachman, Taufan
Journal La Medihealtico Vol. 6 No. 5 (2025): Journal La Medihealtico
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamedihealtico.v6i5.2810

Abstract

Adolescent mental health issues require early detection to prevent worsening conditions. This study aim developed a rule-based expert system for automating mental health screening instrument interpretation using Forward Chaining inference and Certainty Factor for uncertainty handling. The system encodes interpretation guidelines from two validated instruments: Mini MindHEAR Youth Scale V.1 for ages 10-18 years and Self-Reporting Questionnaire-29 for ages 19-24 years. From 710 survey respondents, 494 representative samples were selected using Stratified Random Sampling for validation. The knowledge base consists of 17 rules for Mini MindHEAR Youth Scale V.1 and 8 rules for Self-Reporting Questionnaire -29 with Certainty Factor values ranging from 0.5 to 0.95 based on symptom severity. Validation results showed the system achieved an overall guideline-alignment accuracy of 89.68% (443 matching interpretations out of 494 samples), measuring the system's ability to faithfully reproduce instrument interpretation guidelines rather than clinical diagnostic accuracy. The system demonstrated high explainability through transparent reasoning traces. This expert system can assist healthcare workers in automating screening instrument interpretation, particularly in resource-limited settings
Co-Authors Adi Firmansyah Antonius Antonius Antonius Antonius Ardian Abdul Hanan Arie Tunggal Asep Saepuloh Bernard Renaldy Suteja Billyanto Hendrik Chepy Perdana Daniel Happy Putra Erick Febriyanto Fachry Firmansyah Habsyah Saparidah Agustina Haryati Haryati Hendrik, Billyanto Heri Andrianto Indri Handayani, Indri Irawan, Yosef Ariyanto Lina Sintia Lulu Latifah Nurhafsyah Masriah, Wulan Siti Nurul Nunu Nugraha Purnawan Nurfitria Khoirunisa Nurfitria Khoirunnisa Nurlan, Lani Sari Azhariyah Shohib Khoiri Slamet Rahayu Tri Herdiawan Apandi Tunggal, Arie Usep Abdul Rosid Wulan Siti Nurul Masriah Yosef Ariyanto Irawan Zulfa, Sima Hasina