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All Journal Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Fahri Noviar
Universitas Serang Raya
Computer Science & IT

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Implementasi Metode Forward Chaining pada Sistem Diagnosa Penyakit Hewan Ternak Sapi Thoha Nurhadiyan; Fahri Noviar
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 3 No. 1 (2025): Januari : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v3i1.3027

Abstract

Diseases in cattle, especially Foot and Mouth Disease (FMD), have a major economic impact on farmers. FMD is a highly contagious viral disease in even-toed ungulates such as cattle, buffalo, goats, and sheep. This virus from the genus Aphthovirus, family Picornaviridae spreads rapidly through direct contact, air, or contaminated objects. The impact of FMD is very detrimental, including decreased milk production in dairy cows, weight loss in beef cattle, and death in severe cases. In addition, high medical costs, restrictions on livestock trade, and reduced consumer confidence in livestock products are also important consequences. The FMD outbreak in Indonesia in 2022, especially in East Java, caused major losses for farmers. Therefore, a fast and accurate diagnostic system is needed for early detection of the disease. Early diagnosis helps farmers take appropriate treatment measures such as isolating infected livestock, administering drugs, and disinfecting pens to prevent the spread. This article discusses the implementation of the forward chaining method in an expert system for diagnosing cattle diseases, including FMD. This method analyzes cattle symptoms and matches them with rules in the knowledge base systematically, from symptoms to diagnosis. With this approach, the expert system can provide a fast and accurate diagnosis and appropriate treatment recommendations. This is expected to help farmers reduce losses, increase productivity, and support the sustainability of cattle farming businesses in Indonesia.
Co-Authors Thoha Nurhadiyan