Keywords
Abstract
In an industry that is under threat, the health of cattle is an important factor because disease can cause decreased production, animal death and economic loss. The use of a web-based expert system with the forward chaining method has become a promising approach in diagnosing cattle diseases quickly and accurately. In Bangkalan, which has a large population of cattle, a web-based expert system for diagnosing cattle disease is important to help farmers and veterinarians. The system combines artificial intelligence with internet accessibility to provide cattle health information, symptom analysis, diagnosis and treatment recommendations. This research aims to improve the health and productivity of cattle and provide efficient solutions in diagnosing and treating animal diseases. The test results show that the forward chaining method was successfully used in developing a web-based expert system for diagnosing cattle disease. This system can provide solutions and information to ordinary people in identifying diseases in cattle.
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