Rekursif: Jurnal Informatika
Vol 12 No 2 (2024): Volume 12 Nomor 2 November 2024

Implementasi Metode Naïve Bayes Dalam Sistem Pakar Diagnosis Penyakit Pada Itik Mojosari

Andreswari, Desi (Unknown)
Suteky, Tatik (Unknown)
Epana Sari, Renti (Unknown)



Article Info

Publish Date
07 Jan 2025

Abstract

Mojosari ducks are a type of duck that has potential as an egg producer, so many duck breeders are interested in it. Delays in treating disease in Mojosari ducks can result in various losses, such as decreased egg quality and quantity, disease transmission to other ducks, and can cause death of the ducks. Therefore, researchers built an expert system that can carry out quick and accurate diagnoses of duck diseases as well as correct countermeasures. This system was built by applying the Naïve Bayes method to an expert system to diagnose Mojosari duck disease by calculating the prior probability value of each disease based on input of symptoms that appear in the ducks. This system can detect 10 types of diseases and 40 symptoms that attack Mojosari ducks. This research was carried out with 30 test data and resulted in a system accuracy of 90%. Keywords: Mojosari Ducks, Diseases, Diagnose, Ducks, Expert Systems, Naïve Bayes.

Copyrights © 2024






Journal Info

Abbrev

rekursif

Publisher

Subject

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

Description

Rekursif adalah jurnal ilmiah yang diterbitkan oleh Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu. Rekursif menerima artikel ilmiah dengan topik; Informatika, Sistem Informasi, dan Teknologi Informasi dari peneliti, dosen, guru, dan mahasiswa. Rekursif diterbitakan secara berkala ...