PENERAPAN METODE NAIVE BAYES UNTUK MENGKLASIFIKASI PENYAKIT BUNGA ANGGREK KERITING UNGU BERBASIS WEB STUDI KASUS DESA SUMBERGONTO KEC. BATU
DOI:
https://doi.org/10.61722/jipm.v3i4.1058Keywords:
Implementation, Naïve Bayes, Diagnosis, Orchid Plants, Web Based SystemAbstract
Dendrobium Mantangai Orchid (Purple Curly Orchid) is an ornamental plant that is widely cultivated in Sumbergonto Village, Batu District, with high economic value. However, this orchid is often threatened by various diseases such as root rot, botrytis, leaf spot, aphids, and stem rot that can damage the plant and cause financial losses for farmers. Currently, the disease identification process is still done manually, which risks causing misdiagnosis and delays in handling. Therefore, to identify diseases in Dendrobium Mantangai orchids, this project aims to develop an online platform applying the Naïve Bayes algorithm.
In this study, data on disease symptoms observed in orchid plants were analyzed using the Naïve Bayes approach, which is based on probability. Bootstrap, MySQL, HTML, and PHP were some of the web technologies used to build the system. We tested the system to see how well it could identify diseases and how accurate it was. This web-based approach can still properly categorize ailments, according to the findings, which means that farmers may more easily detect diseases in a timely manner.
This technology is designed to assist orchid farmers in Sumbergonto Village in effectively identifying illnesses, decreasing losses caused by plant diseases, and increasing the productivity of orchid farming. It is believed that this web-based solution will help with the automated and targeted management of plant diseases
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