Expert System for Diagnosing Strawberry Plant Diseases Using the Forward Chaining Method
DOI:
https://doi.org/10.35134/jcsitech.v11i1.131Keywords:
Farmers, Stroberri, Forward Chaining, Expert SystemAbstract
Farmers still do not really understand how to diagnose problems in plants, one example is strawberry farmers. This is proven by several farmers and strawberry plant cultivators, not all of whom can understand the disease where there are various types of diseases that can attack strawberry plants with almost the same symptoms , and if a farmer or cultivator is wrong in handling the type of strawberry plant disease, it is not impossible that it will cause the strawberry plant to die. Strawberry farmers need a tool to diagnose strawberry plant diseases so that they can find out the condition of the strawberry plants. Therefore, an expert system was created to diagnose diseases in strawberry plants and find solutions to deal with the damage that occurs. The system built for diagnosing diseases in strawberry plants uses the Forward Chaining method. Forward chaining is a forward tracking that starts from a set of facts by looking for rules that match the existing hypothesis towards a conclusion. In its implementation, this system has met these objectives by using a database and rule base. The system draws conclusions based on existing facts using the forward chaining method, the search starts from the facts from which new conclusions are obtained, the existing rules are traced one by one until the search is stopped because the last condition has been met.
References
Widjanarko, PB (2022). Getting to Know Nanotechnology: Knowledge for Beginners. P4I Publisher.
Pasaribu, JS (2021). Design of Web-Based Information System for Office Asset Inventory Management at PT. Mpm Finance Bandung. Scientific Journal of Applied Information Technology, 7(3), 229-241. https://doi.org/10.33197/jitter.vol7.iss3.2021.655
Aldo, D. (2020). Expert system for diagnosing onion pests and diseases using the Dempster Shafer method. Komputika: Journal of Computer Systems, 9(2), 85-93. https://doi.org/10.34010/komputika.v9i2.2884
Ayu, DP, Marsono, M., & Sonata, F. (2019). IMPLEMENTATION OF EXPERT SYSTEM USING DEMPSTER SHAFER METHOD TO DIAGNOSE MYSOPHOBIA DISEASE. Cyber Tech Journal, 2(4). https://doi.org/10.53513/jct.v2i4.3398
Rohmat, A., Dermawan, BA, Voutama, A., & Gunadi, B. (2021). Expert System for Determining Types of Freshwater Fish Cultivation Based on Location and Water Quality. Journal of Technology and Information, 11(2), 96-110. https://doi.org/10.34010/jati.v11i2.3490
Rofiqoh, S., Kurniadi, D., & Riansyah, A. (2020). Expert System Using Forward Chaining Method for Rubber Plant Disease Diagnosis. Proceedings of the Unissula Student Scientific Constellation (KIMU) Engineering Cluster.
Faisal, F., Opitasari, O., & Mufti, A. (2024, January). Expert System for Diagnosing Eye Diseases Using the Forward Chaining Method. In Semnas Ristek (National Seminar on Research and Technology Innovation) (Vol. 8, No. 01). https://doi.org/10.30998/semnasristek.v8i01.7146
Fatmasari, F., & Supriyatna, A. (2019). Career Selection and Development Based on Interests, Talents and Personalities of Adolescents Using Forward Chaining. JUITA: Informatics Journal, 7(1), 33-42. https://doi.org/10.30595/juita.v7i1.4128
Nugroho, SA, Priyadi, A., & Ndaumanu, AF (2024). EXPERT SYSTEM FOR CORN PLANT DISEASE DIAGNOSIS USING WEB-BASED FORWARD CHAINING METHOD. Elkom: Journal of Electronics and Computers, 17(1), 291-299. https://doi.org/10.51903/elkom.v17i1.1889
Sari, HA, Hermawan, R., & Harris, S. (2025, January). Expert System for Early Diagnosis of Gastric Diseases with the Forward Chaining Method at the Clinic of Dr. Yolanda. In National Seminar on Research and Technology Innovation (SEMNAS RISTEK) (Vol. 9, No. 1, pp. 496-502). https://doi.org/10.30998/semnasristek.v9i1.7573
Saputra, H., & Haryono, W. (2023). Implementation of the Forward Chaining Method with the K-NN Algorithm in Diagnosing Computer Diseases at the Universal Computer Store ITC BSD. Journal of Research and Publication Innovation, 1(3), 1000-1006.
Saro, D. (2019). Application of Fordward Chaining Method in Honda Motorcycle Damage Diagnosis (Case Study: Capella Service Center). Jurnal Responsive Teknik Informatika, 3(01), 40-49. https://doi.org/10.36352/jr.v3i01.244
Pernando, F., & Fauzi, A. (2019). Expert System for Diagnosing Rice and Horticultural Plant Pests and Diseases Using the Android-Based Forward Chaining Method. Journal of Computer Engineering, 5(2), 84-91. https://doi.org/10.31294/jtk.v4i2
Yuwono , D. T. , Fadlil , A., & Sunardi, S. (2017). Application of Forward Chaining and Certainty Factor Methods in the Expert System for Diagnosing Orchid Pests Coelogyne Pandurata. Scientific Journal KLIK, 4(2) http://dx.doi .org/10.20527/klik.v4i2.89
Nuraeni, F., Rahayu, REG, & Renaldi, MR (2022). Web-Based Mental Illness Diagnosis Expert System Application Using Forward Chaining and Certainty Factor. Jurnal Algoritma, 19(2), 620-629.
Jahro, J. (2018). Counseling and psychotherapy expert system for dramatic personality problems using the web-based forward chaining method. Rabit: Journal of Technology and Information Systems Univrab, 3(1), 35-46.
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