SISTEM PENDUKUNG KEPUTUSAN UNTUK DETEKSI DINI PENYAKIT PADA AYAM BROILER DENGAN METODE FORWARD CHAINING

Broiler chickens are a poultry commodity that plays a crucial role in providing animal protein. High market demand drives increased production, but on the other hand, broiler chickens are highly susceptible to various diseases such as Newcastle Disease (ND), Avian Influenza (AI), and Infectious Bursal Disease (IBD). These diseases can cause decreased productivity and even mass mortality. Farmers' lack of knowledge in recognizing disease symptoms and limited access to veterinarians are major obstacles to early detection. This research aims to develop a decision support system based on the Forward Chaining method to help farmers diagnose broiler chicken diseases quickly and accurately. This system works by receiving symptom input, matching it with a rule base, and generating a complete diagnosis along with treatment recommendations. Based on testing on 15 case scenarios, the system successfully provided a correct diagnosis based on the entered symptoms. One case showed that a specific combination of symptoms could be diagnosed as Chicken Cholera with a 100% confidence level. These results demonstrate that the system has robust and responsive rule-matching logic. Thus, this system can be an effective solution in supporting early disease detection efforts in broiler chicken farms.