<![CDATA[Learning-focus disorders triggered by online-gaming addiction are frequently found among senior high school students. Unfortunately, detection in the field still relies on teachers' direct classroom observation, which tends to be subjective. To address this issue, this study designed a web-based expert system to help teachers carry out early detection of learning-focus disorders caused by online-gaming addiction, using students at SMA Negeri 1 Sungai Limau, Padang Pariaman, as the case study. The method applied was Certainty Factor (CF). The development model followed the Waterfall stages by Pressman, starting from communication through to deployment, within a Research and Development framework. Knowledge on twenty symptom indicators and their certainty values was obtained from a Guidance and Counseling teacher acting as the domain expert, then encoded into IF-THEN rules processed using the CF combination formula. The system was evaluated in three stages: expert validity testing using the Aiken's V formula, user practicality testing with the Cohen's Kappa coefficient, and accuracy testing by comparing the system's output against the expert's manual diagnosis. The system obtained a validity score of 0.86 (valid), a practicality score of 0.857 (very high), and an accuracy rate of 86.25% (very accurate) across 80 test data. These findings indicate that the CF-based expert system can help teachers identify students' learning-focus disorders more objectively, systematically, and measurably at an early stage.]]>
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