JOURNAL ARTICLE

Sistem Pakar Diagnosa Penyakit Kulit Kucing Menggunakan Metode Naive Bayes Berbasis Web

Farhan DwiramadhanMohammad Iwan WahyuddinDeny Hidayatullah

Year: 2022 Journal:   Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol: 6 (3)Pages: 429-437

Abstract

This study aims to implement the Naive Bayes method in a skin disease diagnosis system in cats. The Naive Bayes method in this application system uses disease probability calculations, calculates the probability of symptoms, calculates the posterior probability of disease, and calculates the maximum value of each disease. This method is used to analyze the results of the diagnosis of skin diseases in cats based on the symptoms of skin diseases. Data analysis on this application system is based on the results of tests carried out 50 times to produce disease diagnosis results from the user and calculated by the system to produce the same diagnostic results as calculations performed manually. With this facility, cat owners can provide first aid to help their cat before being taken to the clinic and further examined by a veterinarian.

Keywords:
Naive Bayes classifier Bayes' theorem Artificial intelligence Expert system Computer science Machine learning Statistics Medicine Pattern recognition (psychology) Bayesian probability Mathematics

Metrics

15
Cited By
2.94
FWCI (Field Weighted Citation Impact)
13
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Edcuational Technology Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Data Mining and Machine Learning Applications
Physical Sciences →  Computer Science →  Information Systems
Multimedia Learning Systems
Physical Sciences →  Computer Science →  Information Systems

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