Penerapan Metode Probabilitas Symetric Pada Sistem Pakar Untuk Mendiagnosa Penyakit Tanaman Jamur Tiram

  • Dicky Firmansyah Universitas Dehasen Bengkulu
  • Lena Elfianty Universitas Dehasen Bengkulu
  • Jhoanne Fredricka Universitas Dehasen Bengkulu
DOI: https://doi.org/10.37676/jmi.v22i2.12064
Keywords: Expert System, , Symmetric Probability, Oyster Mushroom

Abstract

Oyster mushrooms are a highly sought-after cultivated commodity due to their high economic value and relatively easy cultivation process. However, various diseases often occur during cultivation, which can reduce the quality and yield of the crop. The main problem faced by farmers is limited knowledge in quickly and accurately recognizing disease symptoms. Therefore, a system is needed to assist in the automatic diagnosis of oyster mushroom diseases. This study aims to design and build an expert system for oyster mushroom disease diagnosis using the Symmetric Probability method with the PHP programming language and a MySQL database. This system is designed to assist users in identifying the type of disease based on the symptoms experienced by oyster mushrooms. The Symmetric Probability method is used to calculate the likelihood level of a disease based on the probability value of each symptom selected by the user. The results show that the expert system is capable of providing a diagnosis of oyster mushroom diseases, along with a percentage value of the disease probability and treatment solutions. This system can facilitate farmers and cultivators in obtaining diagnostic information quickly, effectively, and efficiently without having to rely directly on experts.

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Published
2026-10-12
How to Cite
Firmansyah, D., Elfianty, L., & Fredricka, J. (2026). Penerapan Metode Probabilitas Symetric Pada Sistem Pakar Untuk Mendiagnosa Penyakit Tanaman Jamur Tiram. JURNAL MEDIA INFOTAMA, 22(2), 246-250. https://doi.org/10.37676/jmi.v22i2.12064
Issue
Vol 22 No 2 (2026): Oktober 2026
Section
Articles

Copyright (c) 2026 Dicky Firmansyah, Lena Elfianty, Jhoanne Fredricka

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