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In this study a web-based expert system was designed using the Naïve bayes method which was intended to help farmers diagnose chili plants. The system development method used is extreme programming which consists of planning, design, coding, testing. A web-based chilli plant disease diagnostic expert system was developed using the PHP and MySQL programming languages. This expert system is capable of diagnosing chili plants by submitting disease symptoms at the time of inspection. Based on the selected symptoms, this system will provide diagnostic results and then display the disease and solutions for the chili plant disease. The results in this study concluded that there was compatibility between the results of the expert system diagnosis using the Naïve bayes method with experts.

A mental illness is a syndrome, psychological, or behavioral disorder in which a person is dysfunctional at work. The problem is that medical personnel or doctors who are professionals in the field of psychology are not comparable to mental illness, especially teenagers. The initial diagnosis by web based and using the Extreme Programming (XP) method. Meanwhile, the main objective of the research is to determine the quality of the web system based on the perceptions of respondents, namely Darul Ihsan Vocational High School students. Measuring the quality of an expert web system using the WebQual instrument. There are three aspects of WebQual that will be measured, namely: usability, information, and interaction quality. Based on the questionnaires distributed to respondents, the expert web system was developed to fulfill the three aspects of WebQual (usability, information, and interaction, with a score of 83.78%, 80%, and 82.97% in the good category.