Expert System-Based Agriculture Application Design For Chili Disease Detection Using The Dempster Shaf Method

Abstract

Very commonly found in chili plants, but the problem is whether the pest or disease causes significant losses or not. To find out what type of attack occurs on chili plants, sometimes farmers lack knowledge in the field of information on pests and diseases so that there are times when the treatment is not in accordance with the type of attack so the disease continues to spread to other plants. Advances in expert systems can overcome this problem by designing a web-based computer system that is integrated with databases and programming languages such as PHP-MySql so that it can assist farmers in diagnosing the disease that is attacked. The application of an expert system in making decisions uses a forward chaining inference engine (forward reasoning) where cases are traced at the initial state so that goals will be found for the final results of diagnosing chili plant diseases. The results of the implementation of the system, namely the system provides questions in the form of symptoms that must be answered by farmers and the results of this process the system will provide information on what diseases attack plants and solutions for handling them

References

Arief, M. R. (2011). Pemrograman web dinamis menggunakan php dan mysql. Yogyakarta: Andi, 7–19.

Bahtiar, N., Wibawa, H. A., & others. (2014). Aplikasi Pendiagnosis Hama Dan Penyakit Tanaman Palawija Menggunakan Metode Inferensi Forward Chaining Berbasis Web. Journal of Informatics and Technology, 2(1), 91–105.

Fitrianingtyas, Y. A., & Rahmad, C. (2015). Sistem pakar deteksi hama dan penyakit pada tanaman cabai dengan metode na{"i}ve bayes. In Seminar Informatika Aplikatif Polinema.

Hasibuan, S. (2020). PENGENDALIAN TERPADU HAMA PADA TANAMAN CABAI (CAPSICUM ANNUM L) DENGAN MENGGUNAKAN PERANGKAP FLUORENSE DAN BERBAGAI PERANGKAP WARNA. In Seminar Nasional Multi Disiplin Ilmu Universitas Asahan.

Laely, M. (2020). SISTEM PAKAR DIAGNOSIS PENYAKIT TANAMAN CABAI DENGAN METODE FORWARD CHAINING DAN DEMPSTERSHAFER. Publikasi Tugas Akhir S-1 PSTI FT-UNRAM.

Lasahido, S. (2016). Sistem Diagnosa Penyakit Pada Tanaman Cabai Merah Menggunakan Metode Fuzzy Tsukamoto. Universitas Brawijaya.

Manik, A., & Sianturi, F. A. (2020). Sistem Pakar Mendeteksi Kerusakan Pada Equipment Dengan Menggunakan Metode Forward Chaining. Jurnal Ilmu Komputer Dan Sistem Informasi (JIKOMSI), 3(1.1), 183–191.

Maulidina, G. (2020). SISTEM PAKAR UNTUK MENDIAGNOSIS MALWARE PADA SISTEM OPERASI WINDOWS MENGGUNAKAN METODE CERTAINTY FACTOR. Universitas Siliwangi.

Muliadi, M., Budiman, I., Pratama, M. A., & Sofyan, A. (2017). Fuzzy Dan Dempster-Shafer Pada Sistem Pakar Diagnosa Penyakit Tanaman Cabai. Klik-Kumpul. J. Ilmu Komput, 4(2), 209.

Nurkholis, A., Riyantomo, A., & Tafrikan, M. (2017). Sistem pakar penyakit lambung menggunakan metode forward chaining. Jurnal Ilmiah MOMENTUM, 13(1).

Sidik, B. (2006). Pemograman Web dengan PHP. Bandung: Informatika.

Suhartanto, M. (2017). pembuatan website sekolah menengah pertama negeri 3 delanggu dengan menggunakan php dan mysql. Speed-Sentra Penelitian Engineering Dan Edukasi, 4(1).

Syafrizal, D. P., Setyaningrum, A. H., & Hulliyah, K. (2015). Penggunaan Metode Forward Chaining Pada Aplikasi Deteksi Pendingin Reaktor Serba Guna. PRSG-Batan. Banten: UIN Syarif Hidayatullah.