Sistem Pakar Berbasis Backward Chaining untuk Meningkatkan Ketahanan Tanaman Jagung
Abstract
Corn is one of the leading food commodities in Indonesia, and it has a vital role in national food security. However, corn productivity often decreases due to the attacks of various types of plant diseases. Limited knowledge of farmers about the symptoms and types of corn diseases is one of the obstacles to proper and fast handling. Therefore, this study aims to build an expert system that can assist farmers in diagnosing corn diseases based on the symptoms shown. This system uses the Backward Chaining method, which tracks logic from conclusions (disease hypotheses) to the facts (symptoms) that support it. The tracing process is carried out until the appropriate facts are found to decide on the diagnosis of the disease. The system design is carried out using the prototype system development method. The testing is carried out by the Black Box Testing method to ensure that all system functions run as expected. The test results show that this expert system can provide accurate diagnoses, assist users in recognizing the type of corn disease, and provide treatment advice. Hopefully, this system can increase the effectiveness of handling corn diseases and support crop productivity.
References
Achmad, D., Putra, O. V., & Muriyatmoko, D. (2024). Image classification of leaf disease in corn plants (Zea Mays L.) using the MobileNetV2 method. Journal of Information System and Application Development, 2(2), 122–132. https://doi.org/10.26905/jisad.v2i2.14004
Bangarwa, S. K., & Dubey, R. B. (2021). Standard Heterosis for De-husked Cob Yield in Baby Corn (Zea mays L.) Hybrids. International Journal of Current Microbiology and Applied Sciences, 10(01), 3550–3554. https://doi.org/10.20546/ijcmas.2021.1001.419
Dhena, E. R., & Puu, Y. M. S. W. (2020). INVENTARISASI DAN IDENTIFIKASI HAMA DAN PENYAKIT UTAMA TANAMAN JAGUNG (Zea mays L.). AGRICA, 4(2), 155–165. https://doi.org/10.37478/agr.v4i2.461
Dooh, J. P. N., Bouba, D., Gabriel, D., Brice, T. T. D., Rita, Y., Durel, N. C., Alain, H., & Zachee, A. (2021). Brown Spot and Stalk Rot Diseases of Maize (Zea Mays) and Susceptibility of Two Varieties to Physoderma Maydis in Far North Cameroon. International Journal of Phytopathology, 10(1), 19–28. https://doi.org/10.33687/phytopath.010.01.3505
Fauziyah, Z., & Winarno, W. (2022). Pengembangan media pembelajaran bermuatan nilai pendidikan Islam melalui Running Text berbasis media Proshow di MI Rejosari Pringsurat. At Turots: Jurnal Pendidikan Islam, 4(2), 180–190. https://doi.org/10.51468/jpi.v4i2.122
Galinat, W. C. (1965). The evolution of corn and culture in North America. Economic Botany, 19(4), 350–357. https://doi.org/10.1007/BF02904805
Granados, A., & Tseng, C. (2023). Digital Engineering Enablers for Systems Engineering in Early‐Stage Research and Development. INSIGHT, 26(3), 47–55. https://doi.org/10.1002/inst.12456
Gunawan, G., Sya’bani, A. Z., & Anandianshka, S. (2024). Expert system for diagnosing diseases in corn plants using the navies bayes method. Jurnal Mantik, 8(1), 849–859. https://doi.org/10.35335/mantik.v8i1.5265
Hodges, A., & Granados, A. (2023). A Bridge Blueprint to Span the Chasm Between Research and Engineering — A Framework for Systems Engineering in Early‐Stage Research and Development. INSIGHT, 26(3), 15–25. https://doi.org/10.1002/inst.12452
Izzuddin, M. A., Andri, A., & Hardiyansyah, H. (2023). Leveraging Prototype Method for Designing Tajweed Mobile Based Learning. Journal of Information Systems and Informatics, 5(2), 615–629. https://doi.org/10.51519/journalisi.v5i2.488
Mei, P. (2020). Metodologi Pengembangan Sistem Informasi. LP2M IAIN.
Muhamad Masjun Efendi, Erfan Wahyudi, Juhartini, & Ahmad Nazar. (2024). Expert System for Diagnosing Corn Plant Diseases Using the Web-Based Certainty Factor Method. International Journal of Scientific Research, 1(01), 30–39. https://doi.org/10.62894/wa9s7a88
Nurbaiti Oktaviani, S., Fikri Aziz, C., & Maula Sulthon, B. (2022). Analisa UI/UX Sistem Informasi Penjualan Berbasis Mobile Menggunakan Metode Prototype. KLIK: Kajian Ilmiah Informatika Dan Komputer, 2(6), 225–233. https://doi.org/10.30865/klik.v2i6.401
Ortez, O. A., McMechan, A. J., Robinson, E., Hoegemeyer, T., Howard, R., & Elmore, R. W. (2023). Abnormal ear development in corn: Does hybrid, environment, and seeding rate matter? Agronomy Journal, 115(4), 1796–1811. https://doi.org/10.1002/agj2.21338
Phuong, T. T. M., & Trang, V. T. T. (2023). Impact Of R&D Investment On Business Performance Of Food Processing Enterprises Listed On Vietnam Stock Exchange. International Journal of Management and Economics Invention, 09(01). https://doi.org/10.47191/ijmei/v9i1.01
Rajeena P. P., F., S. U., A., Moustafa, M. A., & Ali, M. A. S. (2023). Detecting Plant Disease in Corn Leaf Using EfficientNet Architecture—An Analytical Approach. Electronics, 12(8), 1938. https://doi.org/10.3390/electronics12081938
Riyadi, A. (2021). Design of Backward Chaining for Identification Palm Oil Diseases Base on Expert System. Journal of Physics: Conference Series, 1823(1), 012112. https://doi.org/10.1088/1742-6596/1823/1/012112
Saiful, M., & Muliawan Nur, A. (2020). Application of Expert System with Web-Based Forward Chaining Method in Diagnosing Corn Plant Disease. Journal of Physics: Conference Series, 1539(1), 012019. https://doi.org/10.1088/1742-6596/1539/1/012019
Sumaryanti, L., Istanto, T., & Pare, S. (2020). Rule Based Method in Expert System for Detection Pests and Diseases of Corn. Journal of Physics: Conference Series, 1569(2), 022023. https://doi.org/10.1088/1742-6596/1569/2/022023
Tou, N., Endraswari, P. M., & Annisa, N. (2023). Expert System for Corn Disease Identification Using Case Based Reasoning Method. JURNAL SISFOTEK GLOBAL, 13(2), 94. https://doi.org/10.38101/sisfotek.v13i2.9716
Wang, D., Li, Z., & Wang, Q. (2024). Ecological restoration reduces mercury in corn kernel and the distinction of mercury in corn plants in rural China – A case in Wuchuan mercury mining area. Ecotoxicology and Environmental Safety, 271, 115964. https://doi.org/10.1016/j.ecoenv.2024.115964
Wildan Holik, Kanaya Sabila Azzahra, Muhammad Ilham Nufajri, & Wien Kuntari. (2024). Perancangan Desain Website VoksEat dengan Menggunakan Metode Prototipe. Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer, 2(6), 192–200. https://doi.org/10.61132/mars.v2i6.551
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