Application of Certainty Factor in an Expert System to Diagnose Cow Diseases

The sudden death of cows is one of the problems for farmers due to a lack of knowledge about how to deal with this disease. Therefore, the health of livestock raised by farmers is very important to meet nutritional needs and provide income for farmers. Diseases that can attack livestock are Brucellosis, Anthrax, Helminthiasis, Pink eye, Septicemia Epizootica, Scabies, Cow Snot, Bovine Ephemeral Fever, Cow Surra, and Foot Rot, which cause animals to become unhealthy. This research aims to use the factor certainty method in a desktop-based expert system application to diagnose infectious diseases in cattle. In this research, the certainty factor method is applied to an expert system application to diagnose bovine infectious diseases based on disease symptoms in cows. The result of this research is that a desktop-based expert system can provide information and diagnose symptoms of infectious diseases in cattle according to the questions asked by the expert system and symptoms of disease in cattle. Based on a sample of three calculations of disease symptoms, it was concluded that Anthrax had the highest percentage value, 93.6%. The percentage may change according to the CF weight of the selected disease symptoms.