Optimalisasi Algoritma C4.5 dalam Menganalisis Indikasi Penyebab Penyakit Feline Immunodeficiency Virus (FIV) pada Kucing
نویسندگان
چکیده
The health of a cat is an aspect and major concern for someone who maintains it. Cats can be exposed to many diseases, one which Feline Immunodeficiency Virus. Virus, also known as feline aids, disease that attacks the cat's immune system. This virus causes decrease in system so cats become vulnerable susceptible disease. difficult detect because symptoms are almost invisible. study aims explore new knowledge stored data list suffering from FIV cause how solve used this were 50 obtained Animal Hospital West Sumatra with attributes Body Weight (BB), Temperature (ST), Breathing (PN), Appetite (NM), Vomiting (MN), Dental Condition (KG), Feather (KB), Skin (KK) yield. processed using C4.5 Algorithm method based on experienced by cat. After processing, will produce entropy value gain each symptom, then right decision tree made results about form they experience. show there 21 rules chosen determinant attribute, namely attribute 0.398683. research useful community, especially those keep reference knowing if indication
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ژورنال
عنوان ژورنال: Jurnal Sistim Informasi dan Teknologi
سال: 2022
ISSN: ['2686-3154']
DOI: https://doi.org/10.37034/jsisfotek.v4i4.152