Implementation of Bayes' Theorem in Expert Systems to Diagnose Diseases in Tomato Plants

  • Yuliana Febriyanti Tefa Universitas Timor
  • Darsono Nababan Faculty of Agriculture, Timor University
  • Yasinta Oktaviana Legu Rema Faculty of Agriculture, Timor University
  • Hevi Herlina Ullu Faculty of Agriculture, Timor University
Keywords: Pest, Disease, Expert system, Tomato Plant, Bayes' theorem


The number of diseases in tomatoes today can make farmers confused in determining or choosing the type of treatment that suits the tomato disease. This  what makes farmers in K district North Central Timor it's hard to get results because they can't consult with experts , so that the level of productivity decreases. -based expert system web can be used to solve problems in terms of helping each farmer in dealing with pests and diseases . The method used in diagnosing is disease in tomato plants is a method bayes theorem , where each alternative provided will be give the value of the hypothesis to get the best results. Hypothesis value in tomato disease ranges from 1 to 0.1 where for hypothesis value 1 is a hypothetical value which shows that the results of this value prove that tomato plants are very specific to diseases and pests while hypothesis value 0.1 indicates that there is no specific for pests and diseases but is found in other diseases. From the results of the study it can be concluded that the system expert which is built is expected to be able to help farmers in Diagnosing diseases and pests on tomato plants in accordance with calculation results bayes obtained.


Download data is not yet available.


Faried, M., Mirzaq, G. El, & Helilintar, R. (n.d.). Sistem Pakar Diagnosa Penyakit Tanaman Tomat Menggunakan Metode Certainty Factor.

Istanto, A. E., & Dewa, W. A. (2012). Sistem Pakar Untuk Mendiagnosa Hama Dan Penyakit Tanaman Tomat Menggunakan Metode Forward Chaining. Jurnal Teknologi Informasi, 7(1), 5–16.
Kementrian Pariwisata dan Ekonomi Kreatif. (2012). No 主観的健康感を中心とした在宅高齢者における健康関連指標に関する共分散構造分析Title. 9–29.

Kusuma, U. W., Azizah, N., & Widodo, R. (2016). Sistem Pakar Diagnosa Penyakit Tanaman Tomat Menggunakan Metode Forward. 3(2), 1–5.

Nurman Hidayat, & Kusuma Hati. (2021). Penerapan Metode Rapid Application Development (RAD) dalam Rancang Bangun Sistem Informasi Rapor Online (SIRALINE). Jurnal Sistem Informasi, 10(1), 8–17.

Prayoga, B. S., & Fatriani, N. N. (2014). Penerapan Metode K-Means Cluster Analysis Untuk. 73–78.

Rahman, A., & Sianturi, F. A. (2022). Implementasi Metode Teorema Bayes Untuk Mendiagnosa Penyakit Pada Tumbuhan Bunga Kertas. Jurnal Nasional Komputasi Dan Teknologi Informasi (JNKTI), 5(1), 64–75. JSLK - Editor Tefa.docx

Setiawati, W., Sulastrini, I., Gunawan, O. S., & Gunaeni, N. (n.d.). Penerapan Teknologi PHT pada Tanaman Tomat.

Siregar, M., & Hutasuhut, M. (2021). Sistem Pakar Mendiagnosa Penyakit Blossom End Rot Pada Tanaman Solanum Lycopersium Syn Dengan Menggunakan Teorema Bayes. 4(1), 1–12.

Studi Sistem Informasi, P., & Triguna Dharma, S. (2017). Sistem Pakar Untuk Mendiagnosa Penyakit Anemia Dengan Menggunakan Metode Teorema Bayes * Trinanda Syahputra #1 , Muhammad Dahria #2 , Prilla Desila Putri #3. Saintikom, 16(3), 284–294.

Zebua, I. A., Informasi, J. S., Teknik, F., Bandung, A., Barat, J., Pakar, S., & Bayes, T. (2018). Sistem Pakar Untuk Diagnosa Penyakit Herpes Menggunakan Metode Teorema Bayes 5 . Metode Teorema Bayes P ( E ) : probabilitas dari E.
How to Cite
Tefa, Y., Nababan, D., Rema, Y., & Ullu, H. (2023). Implementation of Bayes’ Theorem in Expert Systems to Diagnose Diseases in Tomato Plants. Jurnal Saintek Lahan Kering, 5(2), 44-47.
Original research article