Expert System for Diagnosing Binge Eating Disorder Using the Forward Chaining Method to Improve Public Health Services
DOI:
https://doi.org/10.55537/j-ibm.v5i1.1081Keywords:
Expert System, Diagnosis, BED (Binge Eating Disorder), Forward ChainingAbstract
Binge Eating Disorder (BED) is an eating disorder characterized by excessive eating without control, which can have an impact on physical and mental health. However, low awareness and negative stigma towards mental health cause many sufferers to be reluctant to seek professional help. This study aims to develop a web-based expert system to diagnose BED early using the Forward Chaining method. This method is used to trace the symptoms experienced by patients to produce initial diagnostic conclusions. The study was conducted at the Bina Karsa Tuntungan Mental Hospital with data collection methods through observation, interviews with expert doctors who know about BED, and literature studies from relevant sources. In addition, the development of the system uses the RAD (Rapid Application Development) method to produce a system that is fast and according to user needs. The results of the study show that this expert system is able to provide an initial diagnosis of BED based on 11 predetermined symptoms and group patients into five levels of severity. This system also functions as an educational medium regarding BED, so that it can increase public awareness of the importance of mental health. With this system, patients can obtain initial information about their condition and consider further consultation with medical personnel. This research is expected to contribute to detecting BED more effectively and reducing the negative stigma towards eating disorders.
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