Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 8 (2018): Agustus 2018

Sistem Diagnosis Penyakit Kucing Menggunakan Metode Naive Bayes

Ahmad Fuyudi Wijaya (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurul Hidayat (Fakultas Ilmu Komputer, Universitas Brawijaya)
Lutfi Fanani (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
06 Dec 2017

Abstract

One of the most popular pets in Indonesia is the cat. According to experts Didik Saptono cat who has name felin silvertis cotus is a kind of carnivore. Many cat keepers 1 find it difficult to take care of their beloved cat when sick and one way to find out the cat'sdiseases seen from the symptoms that arise in cats and consultation of veterinarians, However there are some that prevent the keeper to go visitthe veterinarian ie limited time, distance and cost. An alternative solution overcome this problem by creating a system that can help cat keepers in diagnosing cat diseases.The method thatcan be used in this Expert System is Naive Bayes. The method is implemented on the inference engine Expert System in order to make a conclusion based on existing knowledge on the knowledge base. Results obtained after a system accuracy test of 85% indicating that the Naive Bayes method is suitable for cat disease cases.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...