Expert System in the Diagnosis of Diseases in Plants

Authors

  • Mulyadi Politeknik Negeri Lhokseumawe
  • Dyan Wahyuni Lhokseumawe State Polytechnic

DOI:

https://doi.org/10.51179/tika.v7i1.1084

Keywords:

Palawija Disease, Forward Chaining, Expert System

Abstract

Diseases and pests cannot be distinguished from the secondary crops that farmers encounter. To overcome this. Farmers have to rely on improvised expertise and information from others, which is ineffective due to the scarcity of experts in secondary crops. An expert system is a solution to the limitations of an expert in his profession. The forward chaining method is used in this expert system and website-based applications. Users who need information or counseling about diseases and pests that affect secondary crops can access this expert system online. The expert system will diagnose signs to which application users will respond and will produce conclusions and treatments for diseases and pests that affect secondary crops. Furthermore, the decline in the level of crop production, especially for secondary crops, is caused by disease attacks. In addition, the delay in handling due to the lack of experts also affects the decrease in the level of crop production. So we need an expert system in decision making. The results of this study can be used as a tool to identify 42 types of diseases in palawija plants and their solutions with input in the form of symptoms of damage that are visible on the outside of the plant. The results in the form of research can also display pictures of the disease, the name of the disease, its symptoms, and solutions that can be seen by the user to overcome the disease. Users can also print the diagnostic results by pressing the print button to see the results of the solution for the disease.

Downloads

Download data is not yet available.

References

Arhami, M. (2005). Konsep dasar sistem pakar. Yogyakarta: Andi, 206.

Badan Pusat Statistik. (2009). Produksi Tanaman Pangan 2009. Badan Pusat Statistik Indonesia. https://www.bps.go.id/publication/2010/09/01/881ed7f99d7abe78db7b3672/produksi-tanaman-pangan-2009.html

Dewi, R., Johan, T. M., & Muslem R., I. (2021). Aplikasi Kriptografi Dalam Mengamankan Pesan Teks Dengan Metode Algoritma Rc4 Berbasis Android. JURNAL TIKA, 6(01), 69–73. https://doi.org/10.51179/tika.v6i01.416

Endah, S. N., Sarwoko, E. A., Sasongko, P. S., & Sutikno, S. (2019). Pengembangan Aplikasi Mobile Deteksi Dini Penyakit dan Hama Pada Tanaman Palawija. Informatika Pertanian, 28(1), 49–66.

Fitri, Z., Zulkifli, Z., Ula, M., Suhendra, B., & others. (2022). Analysis of the Teacher’s Role in Evaluation of Student Learning Performance Using the TOPSIS Model (Case Study of Smk Negeri 1 Lhokseumawe). JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 5(2), 452–462.

Honggowibowo, A. S. (2009). Sistem pakar diagnosa penyakit tanaman padi berbasis web dengan forward dan backward chaining. Telkomnika, 7(3), 187.

Husin, A., Faren, M. P., & Usman, U. (2019). Sistem Pakar Pendeteksi Penyakit Berdasarkan Keluhan Buang Air Kecil Menggunakan Metode Forward Chaining. Jurnal Ipteks Terapan, 12(4), 277–285.

Kementerian Pertanian. (20017). Kedaulatan Pangan Nasional. http://www.kemendag.go.id/files/pdf/ 2017/02/22/

Nurdin, N., Fahrozi, F., Ula, M., & others. (2020). Sistem Pendukung Keputusan Penentuan Jenis Tanah Yang Sesuai Untuk Tanaman Pangan Menggunakan Metode Smarter Dan Saw. Informatika Pertanian, 29(2), 83–94.

Rosdiana, R., Ula, M., & Aidilof, H. A. K. (2021). Implementasi Pemodelan Citra Model Svm (Support Vector Machine) Dalam Penentuan Pengklasifikasian Jenis Suara Kontes Burung. Jurnal Informatika Kaputama (JIK), 5(2), 317–324.

Ula, M., Hendriana, Y., Hardi, R., & others. (2016). An expert system for early diagnose of vitamins and minerals deficiency on the body. 2016 International Conference on Information Technology Systems and Innovation (ICITSI), 1–6.

Ula, M., Ulva, A. F., & Mauliza, M. (2021). Implementasi Machine Learning Dengan Model Case Based Reasoning Dalam Mendiagnosa Gizi Buruk Pada Anak”. Jurnal Informatika Kaputama (JIK), 5(2), 333–339.

Published

2022-04-28

How to Cite

Mulyadi, & Wahyuni, D. (2022). Expert System in the Diagnosis of Diseases in Plants. Jurnal Tika, 7(1), 39–47. https://doi.org/10.51179/tika.v7i1.1084

Similar Articles

1 2 3 4 > >> 

You may also start an advanced similarity search for this article.