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Expert System Diagnose Disease Persian cat with Bayes Theorem Method

Authors

  • Yustrida Yanti STMIK Pelita Nusantara, Medan
  • Sulindawaty Sulindawaty Lecturer Teknik Informatika, STMIK Pelita Nusantara, Medan

DOI:

10.47709/cnapc.v2i1.380

Keywords:

Disease, Expert Systems, Bayes Theorem

Dimension Badge Record



Abstract

Lack of knowledge of the disease and the limitations Pesia cat disease management is often experienced by the owners of Persian cats. Therefore it is necessary to act / respond quickly to prevent infection with the disease more serius.Teorema Bayes is a method used to predict the probability. Therefore, in this study will be analyzed Persian cat disease data using Bayes theorem using four diseases areFeline Leukemia Virus, Worms, Cat Flu and Mushrooms Cryptococus. Based on these descriptions, we need a system that can represent an expert who has the knowledge base and experience of the Persian cat disease, which is an expert system. Developments in information technology more widely and rapidly. So much in use in various fields. That accompanied the information technology internet support each other resulting in increased web-based technologies

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References

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ARTICLE Published HISTORY

Submitted Date: 2019-11-13
Accepted Date: 2019-11-14
Published Date: 2020-01-01

How to Cite

Yanti, Y., & Sulindawaty, S. (2020). Expert System Diagnose Disease Persian cat with Bayes Theorem Method. Journal of Computer Networks, Architecture and High Performance Computing, 2(1), 149-157. https://doi.org/10.47709/cnapc.v2i1.380