Diagnosing chicken diseases using fuzzy Tsukamoto web-based expert system

Abstract

Chicken is one source of protein favored by the community. One of the benefits we can take on chicken is meat and eggs. But chicken disease becomes one of the problems that are very detrimental to chicken farmers. This was assessed because of the lack of knowledge of farmers in handling conditions that occur in chicken. Accurate information about handling chicken disease among farmers is still difficult to obtain. Therefore, it is necessary to design an expert system application in detecting diseases that are experienced by chickens based on the symptoms shown and how to handle them. The method used is fuzzy Tsukamoto as an inference engine to determine the disease based on its symptoms and use the PHP programming language in making applications and MySQL as its database. Based on the results of the diagnosis in the sample taken showed the results of the fuzzy Tsukamoto diagnosis were 97.97% (very good) with the type of disease: typhoid chicken based on the symptoms seen. The solution given is isolation of chickens that show symptoms and give disinfectant water, spray disinfectant, replace all water and feed, clean the entire cage, and destroy dead chickens.