Expert System for Diagnosing Diseases in Tomato Plants Using a Website-Based Forward Chaining Method Sistem Pakar Mendiagnosa Penyakit pada Tanaman Tomat menggunakan Metode Forward Chaining Berbasis Website

Main Article Content

Katrina Rambu Bangi Roni
Fajar Hariadi


Tomato plant is one of the plants in agriculture that is widely cultivated in Indonesia, one of which is in East Sumba Regency. The problem that is often faced is the lack of knowledge and facilities for tomato farmers which are still limited in dealing with diseases in these tomatoes. To diagnose tomato plant diseases that attack through the symptoms they cause, a tomato plant expert is needed to analyze and diagnose. Currently farmers often ignore tomato diseases due to lack of knowledge. They assume it's finally happening in the planting phase, tomato pest and disease experts are reduced, they don't know how to control and eliminate decreased productivity. In this case, to help farmers know the type of disease that attacks, an expert system is needed to help diagnose tomato plant diseases and provide the right solution in handling the disease using the Forward Chaining method. In the Forward Chaining method, the data search process starts from the premise to the final conclusion. Based on the test results, it can be seen that the probability value for the accuracy of the expert system produced is capable of having a percentage of 100%, from the calculation of the 8 types of the same disease, for inaccuracy so that this expert system can be stated to have been running well.

Article Details

How to Cite
Roni, K. R. B., & Hariadi, F. (2022). Expert System for Diagnosing Diseases in Tomato Plants Using a Website-Based Forward Chaining Method . JOINCS (Journal of Informatics, Network, and Computer Science), 5(2), 39-45.
Author Biographies

Katrina Rambu Bangi Roni, Universitas Kristen Wira Wacana Sumba

Program Studi Teknik Informatika

Fajar Hariadi, Universitas Kristen Wira Wacana Sumba

Program Studi Teknik Informatika


[1] Hananto, P. E, Sasongko, P. S, Sugiharto,A.2012. Sistem Pakar Diagnosis Penyakit Tanaman Cengkih Dengan Metode Inferensi Forward Chaining. Journal of Informatics and Technology, 1(3), 1–14.
[2] A. S., Rosa & Shalahuddin, M. 2018. Rekayasa Perangkat Lunak TerstrukturDan Berorientasi Objek. Informatika. Bandung.
[3] Istanto, A. E, Dewa, W. A. (n.d.). Sistem Pakar Untuk Mendiagnosa Hama dan Penyakit Tanaman Tomat Menggunakan Metode Forward Chaining. Jurnal Teknologi Informasi, 7(1), 12.
[4] Kusbianto, D., Ardiansyah, R., & Hamadi, D. A. 2017. Implementasi Sistem Pakar Forward Chaining Untuk Identifikasi Dan Tindakan Perawatan Jerawat Wajah. Jurnal Informatika Polinema, 4(1), 71.
[5] Nugroho, R. R. (n.d.). Sistem Pakar Diagnosa Penyakit Tanaman Tomat Menggunakan Metode Dempster Shafer.
[6] Nurdiawan, H., Fatimah, D. D. S., & Sekolah Tinggi Teknologi Garut. 2016. Pengembangan Sistem Pakar Diagnosis Penyakit Tanaman Tomat Berbasis Visual Prolog. Jurnal Algoritma, 13(1), 114–121.
[7] Yulianto, M. A. (n.d.). Penerapan Metode Forward Chaining Dalam Sistem Pakar Untuk Diagnosa Hama Dan Penyakit Tanamanan Tomat. INFOS, 1(4), 5.
[8] Mara Destiningrum, Q. All. 2017. Sistem informasi penjadwalan dokter berbasis web dengan menggunakan framework codeigniter (studi kasus : rumah sakit yukum
[9] Daniel D. J. TJ. Sitinjak, Maman, Jaka Suwita.2020. Analisa Dan Perancangan Sistem Informasi Administrasi Kursus Bahasa Inggris Pada Intensive English Course Di Ciledug Tangerang . Jurnal Ipsikom Vol. 8 No.1, Juni 2020.
[10] Mustika dewi P,Arief A. S, & Rekyan R. 2012). Aplikasi Sistem Pakar Untuk Pendeteksian Dan Penanganan Dini Pada Penyakit Sapi Dengan Metode Dempster-Shafer Berbasis Web, Universitas Brawijaya, Malang. medical centre). Jurnal teknoinfo, Vol. 11, no. 2, 30-37.