DOI of the published article https://doi.org/10.33795/jip.v12i1.8819
Web-Based Expert System For Detecting Negative Sexual Behavior Addiction
Sistem Pakar Berbasis Web Untuk Deteksi Kecanduan Perilaku Seksual Negatif
DOI:
https://doi.org/10.21070/ups.10022Keywords:
Expert System, Forward Chaining, Coverage Rule, Addictive Behavior, Early DetectionAbstract
This study aims to develop a web-based expert system for detecting the level of negative sexual behavior addiction.
The forward chaining method is applied as an inference mechanism to trace rules based on symptoms selected by
users, while the coverage rule method is used as a supporting indicator to determine the degree of compatibility
between symptoms and knowledge base rules. The system is implemented using HTML, CSS, and JavaScript without
involving an external database, allowing lightweight access through a web browser. System testing was conducted on
ten test cases by comparing system diagnoses with expert analysis. The results show a conformity rate of 90%,
indicating that the proposed system demonstrates good accuracy and has the potential to serve as a practical and
easily accessible tool for early detection.
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