Sistem Pakar Deteksi Gangguan Konsentrasi Belajar Siswa Menggunakan Metode Certainty Factor

Abstract

This study aims to develop a web-based expert system to detect learning concentration disorders in students using the Certainty Factor method. The research was conducted at SDN Baru 06 Pagi Pasar Rebo, focusing on 62 third-grade students. The absence of a counseling teacher or child psychologist at the school makes the identification process rely heavily on the teachers subjective intuition. The system uses 15 behavioral symptoms categorized into three dimensions: inattention, hyperactivity, and impulsivity. The expert knowledge base (CFpakar) was formulated through a Focus Group Discussion (FGD) with third-grade teachers. The Certainty Factor algorithm combines expert confidence and user input to calculate the CF value per dimension and the final combined CF, classifying the severity into five categories: Not Indicated, Mild, Moderate, Severe, and Very Severe. The results show that the system successfully calculates the confidence level of the disorder, provides dimension-specific diagnostic profiles, and generates printable reports via DomPDF. This system assists teachers in identifying students concentration issues systematically and designing appropriate learning interventions.