Analisis Penyakit Tanaman Bawang Merah Menggunakan Metode Teorema Bayes

Jurnal ICT : Information Communication & Technology

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Field Value
 
Title Analisis Penyakit Tanaman Bawang Merah Menggunakan Metode Teorema Bayes
 
Creator Basysyar, Fadhil Muhamad
Rinaldi, Ade Rizky
 
Subject bawang mMerah; penyakit; teorema bayes
 
Description Shallot plants or in Latin Alliumascalonicum L is a horticultural plant that gets a lot of attention from both the public and the government. Over the past few years shallots are included in the top six vegetable commodities that are exported together with cabbage, cabbage or flower cabbage, chili, tomatoes, & potatoes. Onion plants are very susceptible to disease that can strike at any time. Some diseases that can attack the onion plant include Onion Caterpillar Disease, Leaf Snorer Disease, Trip, Moler Disease, Trotol, Dew Feather and Anthracnose. In this study using the Bayes theorem expert system, each symptom has a density value to the disease which is then calculated using the formula of the Bayes Theorem Method and processed using certain rules and inference using Forword Chaining. This research is expected to help the onion farmers in diagnosing the disease so that it can reduce the material losses with less than 60%.
 
Publisher STMIK IKMI Cirebon
 
Contributor
 
Date 2020-09-04
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ejournal.ikmi.ac.id/index.php/jict-ikmi/article/view/112
10.36054/jict-ikmi.v19i1.112
 
Source Jurnal ICT : Information Communication & Technology; Vol 19, No 1 (2020): JICT-IKMI, Juli 2020; 77-82
2303-3363
2302-0261
10.36054/jict-ikmi.v19i1
 
Language eng
 
Relation https://ejournal.ikmi.ac.id/index.php/jict-ikmi/article/view/112/pdf
 
Rights Copyright (c) 2020 Jurnal ICT : Information Communication & Technology
https://creativecommons.org/licenses/by/4.0
 

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