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Wardani, Sisca
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Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Transportation

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EXPERT SYSTEM OF DISEASE DIAGNOSIS IN RABBITS USING CERTAINTY FACTOR METHOD Wardani, Sisca; Pardede, Akim Manaor Hara; Prahmana, I Gusti
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.164

Abstract

Rabbits are mammals of the family leporidae, which can be found anywhere, rabbits are increasingly popular in the community not to be kept alone even to a profitable side business. Raising rabbits is not new anymore, there are several places that sell and buy rabbits that are very interesting. The development of rabbit farming needs to be considered because of the disease in rabbits caused by several factors including ectoparasites that are late to be handled because of the lack of knowledge of rabbit farmers about the initial action before being brought to the animal clinic, and long distances limit farmers in conducting consultations on handling diseases in rabbits. Therefore, the need for a system to diagnose diseases in rabbits by knowing some of the symptoms early, with this system is expected to be an alternative use of technology that can be used to detect rabbit disease early on quickly, precisely, and accurately, so that for the future treatment of rabbit disease sufferers can be handled more quickly by using the certainty factor method that is more accurate in analyzing data quickly in getting the diagnosis of rabbit disease. From the test conducted with the selected symptoms, namely hair loss, scales on the scalp, the scalp looks cracked, then the highest percentage value of the test results with a value of 100% and diagnosed infectious diseases of the scalp.
Co-Authors Pardede, Akim Manaor Hara Prahmana, I Gusti