EXPERT SYSTEM TO DIAGNOSIS PEST AND DISEASE OF BANANA PLANT WITH BAYES THEOREM
DOI:
https://doi.org/10.33197/jitter.vol8.iss1.2021.710Keywords:
Banana Plants, Bayes Theorem, Disease, Expert System, PestAbstract
Tanaman pisang merupakan salah satu tanaman yang banyak dijumpai di daerah-daerah di Indonesia, padahal di Indonesia sendiri masih minim informasi yang diterima
masyarakat tentang hama dan penyakit yang dapat menyerang tanaman pisang dan cara penanggulangannya. Terbatasnya ketersediaan tenaga ahli di berbagai tempat atau wilayah di
Indonesia causes the community to be late in dealing with pests and diseases of banana plants, therefore this research creates a website-based expert system to diagnose pests and diseases of banana plants using 11 data consisting of 5 pests and 6 diseases, as well as 48 symptom data that will be processed using the Bayes Theorem method to produce a probability value of a pest or disease based on the symptoms that arise in banana plants. This study resulted in an accuracy value of 86.53%. The accuracy value is obtained from the comparison between expert diagnosis and the system using the Bayes theorem based on 52 tested data. This expert system can help the community in diagnosing banana plant pests and diseases.
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Copyright (c) 2021 Lievia Anjhelina Maharani, Gibtha Fitri Laxmi, Freza Riana
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Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or report, or abstract); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors. If and when the manuscript is accepted for publication, the author(s) still hold the copyright and retain publishing rights without restrictions. Authors or others are allowed to multiply the article as long as not for commercial purposes. For the new invention, authors are suggested to manage its patent before published. The license type is CC-BY-SA 4.0.
