SISTEM PAKAR IDENTIFIKASI PENYAKIT PADA BUAH NANAS MENGGUNAKAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING BERBASIS WEB
The use of this pineapple fruit expert system can be used for expert alternatives because this expert system works like an expert who diagnoses diseases from questions that are then concluded into a conclusion in the form of a disease. The way this pineapple fruit expert system works, the system will diagnose diseases in pineapple fruit by diagnosing several symptoms that occur in pineapple fruit so as to produce a conclusion in the form of a disease along with explanations and prevention suggestions. This pineapple fruit expert system can only diagnose pineapple fruit disease. For login can only be used by admins or experts. The methods in this expert system are certainty factor and forward chaining methods for system calculation and reasoning. Then the data collection methods used include interviews, observations, literature studies (journals, and the internet). The data obtained are in the form of symptoms, diseases, explanations of diseases, and explanations of disease prevention advice. The knowledge base obtained amounted to 56 knowledge and the symptoms obtained amounted to 21 symptoms, and the diseases obtained amounted to 7 diseases. For the implementation of this expert system, the author created an expert system website using the PHP programming language as its Backend and using HTML, CSS and Javascript as its Frontend. The results obtained from this study of the system functioning properly have been tested with Black Box Testing.