Design of a Diagnostic Expert System in Pig Farm Using a Web-Based Bayes Theorem Method

Authors

  • Rosalia Nona Ina Universitas Kristen Wira Wacana Sumba
  • Pingky Alfa Ray Leo Lede Universitas Kristen Wira Wacana Sumba

DOI:

https://doi.org/10.59934/jaiea.v5i1.1306

Keywords:

Bayes' Theorem Method, PHP, Swine Disease, Expert Systems, Web-Based

Abstract

Based on data from the East Sumba livestock office from 2021 to 2024, there are three cases of diseases in pigs that have occurred such as African Swine Fever (ASF), Cholera (Hog cholera), Worms (Helminthiasi). Diseases in pig farm animals are generally caused by viruses, bacteria, parasites, which can cause mass deaths and great economic losses for farmers. In addition, the problems faced include the low understanding of farmers about the symptoms and treatment of the disease, the limited number of veterinarians and medical personnel, and the lack of access to animal health services and other supporting information. To address this problem, the research developed a web-based expert system designed to help diagnose swine disease using the Theorem method that can help make early diagnosis independently and provide quick and precise treatment recommendations. In addition, this system is also expected to help veterinarians and medical professionals in expanding the reach of information and education services to the public more efficiently.

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References

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Published

2025-10-15

How to Cite

Nona Ina, R., & Pingky Alfa Ray Leo Lede. (2025). Design of a Diagnostic Expert System in Pig Farm Using a Web-Based Bayes Theorem Method. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(1), 319–328. https://doi.org/10.59934/jaiea.v5i1.1306