Open AccessSISTEM PAKAR DIAGNOSA PENYAKIT DAN HAMA PADA TANAMAN JAGUNG MENGGUNAKAN METODE NAIVE BAYES
Author(s) -
Bayu Bastiyan Suherman
Publication year - 2021
Publication title -
jurnal informatika dan rekayasa perangkat lunak
Language(s) - English
Resource type - Journals
ISSN - 2723-3367
DOI - 10.33365/jatika.v2i3.1251
Subject(s) - expert system , bayes' theorem , naive bayes classifier , agriculture , machine learning , computer science , artificial intelligence , bayesian probability , biology , support vector machine , ecology
Corn is one of the leading agricultural commodities that can be used as a staple plant other than rice. Constraints faced by corn farmers include the lack of information about diseases that attack the corn plants, which causes less productivity. In this study a system was developed that can automatically detect disease that attacks corn plants so that preventive measures can be taken to prevent corn plants from dying. Expert systems are designed to solve certain problems by imitating the work of experts. In addition, this expert system also helps farmers who are experiencing problems regarding diseases and pests and their solutions without relying on an expert. The method used is the Naive Bayes method, Naive Bayes is a method used to predict probabilities and has several characteristics that are istitively in accordance with the way of thinking of an expert and accompanied by a strong mathematical basis. From the tests carried out with diagnoses obtained from the comparison between the results of expert diagnoses and the diagnosis of the system to diagnose diseases and pests in corn plants is 90%.