Research Article
Application of the Bayes Theorem to the Expert System for Diagnosing Big Red Chili Plants
@INPROCEEDINGS{10.4108/eai.11-7-2019.2297526, author={Esa Firmansyah and Cecep Hidayat and Ripa Maulida Husna and Sy. Yuliani and Rio Guntur Utomo}, title={Application of the Bayes Theorem to the Expert System for Diagnosing Big Red Chili Plants}, proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.}, publisher={EAI}, proceedings_a={ICONISTECH}, year={2021}, month={1}, keywords={large red chilli expert system bayes theorem}, doi={10.4108/eai.11-7-2019.2297526} }- Esa Firmansyah
Cecep Hidayat
Ripa Maulida Husna
Sy. Yuliani
Rio Guntur Utomo
Year: 2021
Application of the Bayes Theorem to the Expert System for Diagnosing Big Red Chili Plants
ICONISTECH
EAI
DOI: 10.4108/eai.11-7-2019.2297526
Abstract
Big red chili is one of the plants that are easily affected by disease than curly and type of chili pepper, and easily contagious if unknown symptoms initially. The limited knowledge of the farmers or society that cultivate big red chili and lack of power extension officers make slow the process of diagnosis and can be fatal as death, so this is serious because it can be losses for the farmers or society that cultivate large red chili plants. To resolve the above problem researchers will conduct research based on the problem. Bayes theorem is one of the methods used to calculate the uncertainty of data into data that is sure to compare data between Yes and no. In this case, the value used to calculate the probability of outcomes identified in large red chili plant diseases. On the results of the experimental data of the symptoms of the disease generates value accuracy of 100%.