Main Article Content
Abstract
This research is motivated by the problem of inhibiting crop production from oil palm plants, namely disease. Diseases of oil palm plants can be caused by viruses, fungi and, the host plant or an unfavorable environment. The process of diagnosing oil palm plant diseases requires expertise, knowledge and experience. Therefore, this study aims to build an expert system that can diagnose 9 types of plant diseases in oil palm from 29 symptoms based on the knowledge of 1 expert with the forward chaining method of reasoning and the web-based Dempster Shafer calculation method. The testing technique used is black box testing, validation testing, testing and theoretical calculations. The results of the black box test state that the expert system has 100% conformity in terms of functionality. The results of the expert validation test state that the expert system has 100% conformity. The results of the theoretical calculation test state that the expert system calculations are in accordance with the results of manual calculations. The results of the test with a questionnaire based on 32 respondents said it went very well. The results of this study provide the information needed by farmers to be able to diagnose and increase knowledge about how to overcome the problems faced by their oil palm plantations even without direct expert assistance in order to improve quality and stabilize the amount of production according to farmers' expectations.
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References
- Firman, A., Wowor, H. F., Najoan, X., Teknik, J., Fakultas, E., & Unsrat, T. (2016). Sistem Informasi Perpustakaan Online Berbasis Web. E-Journal Teknik Elektro Dan Komputer, 5(2), 29–36.
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- Putri, D. A., & Aranta, A. (2020). Sistem Pakar Diagnosis Penyakit Tanaman Padi Menggunakan Forward Chaining dan Dempster Shafer. Jurnal Teknologi Informasi, Komputer, Dan Aplikasinya (JTIKA ), 2(2), 248–257. https://doi.org/10.29303/jtika.v2i2.113
- Saragih, R., Jean Cross Sihombing, D., & Rahmi, E. (2018). Sistem Pakar Diagnosa Penyakit Kelapa Sawit Menggunakan Metode Dempster Shafer Berbasis Web. Journal of Information Technology and Accounting, I(1), 2614–4484. http://jita.amikimelda.ac.id
References
Firman, A., Wowor, H. F., Najoan, X., Teknik, J., Fakultas, E., & Unsrat, T. (2016). Sistem Informasi Perpustakaan Online Berbasis Web. E-Journal Teknik Elektro Dan Komputer, 5(2), 29–36.
Hawa, S., Abdullah, & Usman. (2015). Sistem Pakar Diagnosa Penyakit Pada Tanaman Kakao Menggunakan Metode Forward Chaining (Studi Kasus Dinas Perkebunan Indragiri Hilir). Sistemasi, 4(2), 1–8.
Ihsan, M., Agus, F., & Khairina, D. M. (2017). Penerapan Metode Dempster Shafer Untuk Sistem Deteksi Penyakit Tanaman Padi. Prosiding Seminar Ilmu Komputer Dan Teknologi Informasi, 2(1), 128–135.
Laely, M., Wijaya, I. G. P. S., & Aranta, A. (2020). Sistem Pakar Diagnosis Tanaman Cabai dengan Metode Forward Chaining dan Dempster Shafer. Jurnal Teknologi Informasi, Komputer, Dan Aplikasinya (JTIKA ), 2(2), 268–279. https://doi.org/10.29303/jtika.v2i2.118
Mustaqim, K. (2013). Aplikasi Sistem Pakar Untuk Diagnosa Hama Dan Penyakit Tanaman Kelapa Sawit Menggunakan Naive Bayes Khairil Mustaqim 10651004303. Syarif Kasim Riau.
Pardede, A. M. H. (2018). Perancangan Sistem Pakar Diagnosa Penyakit Tanaman Kelapa Sawit Dengan Metode Bayes Study Kasus PTUkindo Blankahan Estate. https://doi.org/10.31219/osf.io/jg3st
Pranolo, A., Widyastuti, S. M., & Azhari. (2013). Desain Pengembangan Sistem Pakar Untuk Identifikasi Gangguan Tanaman Hutan Dengan Forward Chaining dan Certainty Factor. Seminar Nasional Sistem Informasi Indonesia, 2–4.
Putri, D. A., & Aranta, A. (2020). Sistem Pakar Diagnosis Penyakit Tanaman Padi Menggunakan Forward Chaining dan Dempster Shafer. Jurnal Teknologi Informasi, Komputer, Dan Aplikasinya (JTIKA ), 2(2), 248–257. https://doi.org/10.29303/jtika.v2i2.113
Saragih, R., Jean Cross Sihombing, D., & Rahmi, E. (2018). Sistem Pakar Diagnosa Penyakit Kelapa Sawit Menggunakan Metode Dempster Shafer Berbasis Web. Journal of Information Technology and Accounting, I(1), 2614–4484. http://jita.amikimelda.ac.id