Sistem Pakar Diagnosis Penyakit Virus Pada Ternak Babi Menggunakan Metode Fuzzy Tsukamoto Berbasis Website

Elias Kapitan Bono Tefa (Institut Keguruan dan Teknologi Larantuka)
Alfian Nara Weking (Institut Keguruan Dan Teknologi Larantuka)
Dominikus Boli Watomakin (Institut Keguruan Dan Teknologi Larantuka)

Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Vol. 5 No. 2 (2025): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer

Abstract. Pig farming plays a significant role in enhancing economic value, particularly in pork production. However, pigs are highly susceptible to viral infections such as Hog Cholera or Classical Swine Fever (CSF), Swine Pox, and African Swine Fever (ASF), which have high transmission and mortality rates. The limited availability of veterinary personnel and the difficulty of early diagnosis pose serious challenges for farmers. This study aims to develop a web-based expert system utilizing the Fuzzy Tsukamoto method to diagnose viral infections in pigs based on clinical symptoms. The system is designed to assist farmers in accurately identifying the type of virus and providing appropriate preventive solutions. The test results show that the Fuzzy Tsukamoto method can deliver accurate and field-relevant diagnoses. Therefore, it can be concluded that the Fuzzy Tsukamoto method is effective in developing expert systems for diagnosing viral diseases in pigs.