Web-based Lobster Disease Diagnosis Expert System Using Certainty Factor Method

Abstract

In Jombang Regency, there are many sellers and breeders/cultivators of Lobster. In the process of breeding lobsters, usually lobster farmers will experience several problems, one of which is the emergence of disease in lobsters cultivated by lobster farmers. Prevention is a very effective step to minimize the risk of disease in farmed lobsters. If the Lobster is already affected by the disease, the costs incurred for Lobster cultivation will increase due to the additional cost of Lobster treatment. Lobster farmers need to know about lobster diseases and how to treat them if the cultivated lobsters are affected by diseases or pests. One of the efforts that can be done by Lobster breeders is by visiting Lobster disease experts (experts) which is not possible to do continuously because it requires a lot of time, energy and costs. From these problems, the author will create a website-based Lobster disease diagnosis expert system using the certainty factor method. With this application, it is hoped that it can help Lobster breeders in dealing with diseases in Lobsters that are kept, without having to visit an expert. In the author's research, accuracy testing was carried out based on 10 diagnostic samples, and calculated using k-fold cross validation, resulting in a system accuracy of 90%. Where the expert system that has been created is considered feasible.