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All Journal ARMADA : Jurnal Penelitian Multidisiplin
Thomas Ryantama
Institut Informatika dan Bisnis Darmajaya (IIB Darmajaya), Lampung, Indonesia
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A Combination of Forward Chaining and Certainty Factor Methods in a Child Mental Health Expert System with Accuracy Comparison Using the Strengths and Difficulties Questionnaire Thomas Ryantama; Chairani
ARMADA : Jurnal Penelitian Multidisiplin Vol. 4 No. 8 (2026): ARMADA : Jurnal Penelitian Multidisplin, Agustus 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v4i8.3548

Abstract

The increasing complexity of child mental health issues requires accurate detection and intelligent decision-support systems for early identification and intervention. This study analyses emotional and behavioural difficulties among 500 children aged 11–17 years using the Strengths and Difficulties Questionnaire (SDQ) dataset and develops an expert system integrating Forward Chaining and Certainty Factor methods. Results indicate that most respondents had relatively low difficulty levels across SDQ dimensions, although substantial proportions showed high Emotional Symptoms and Conduct Problems scores, suggesting potential psychological concerns. The proposed expert system achieved 90% accuracy, demonstrating good performance in distinguishing Normal and Abnormal categories, although classification of the Borderline category remained challenging. Higher scores in Emotional Symptoms, Conduct Problems, Hyperactivity, and Peer Problems, alongside lower Prosocial Behaviour scores, were associated with greater likelihood of Borderline or Abnormal classification. These findings demonstrate that integrating Forward Chaining and Certainty Factor can effectively support early screening and decision-making in child mental health assessment.
Co-Authors Chairani