Adult Attention Deficit Hyperactivity Disorder Risk Detection Using Forward ChainingMethod

Adult Attention Deficit Hyperactivity Disorder Risk Detection Using Forward ChainingMethod

Detection, ADHD, Forward Chaining, Early Detection

Adult Attention Deficit Hyperactivity Disorder (ADHD) remains underrecognized due to subtle symptoms, persistent misconceptions, and limited access to self-screening tools. This study developed a robustexpert system to support the early detection of ADHD risk using the Forward Chaining method. Knowledge acquisition was conducted through literature review and consultation with a psychologist specializing in ADHDto construct a rule-based knowledge base of symptoms and risk classifications. The system provided three possible outcomesincluding high, moderate, or no risk. Evaluation was carried out through black-box testing with ten respondents and accuracy testing against expert diagnoses. The results showed that the system achieved 100% functionality and 100% accuracyin identifying ADHD risk levels. This research contributes to addressing the gap in digital screening platforms for adult ADHD in Indonesia by providing an accessible and user-friendly tool for self-assessment. The system can bea substitute foran early detection aid to consultation and reduce delays in intervention

Ghania Sabrina Ahsani1, Esi Putri Silmina

https://ijicom.respati.ac.id/index.php/ijicom/article/view/165/118

International Journal of Informatics and Computation (IJICOM

2025

Fajar bagus W

PDF

English

Text