Sistem Pakar Menggunakan Metode Naïve Bayes dan Certainty Factor untuk Mendeteksi Hama pada Tanaman Alpukat Berbasis Web
Article Sidebar
Main Article Content
Abstract
Avocad (Persea americana) is a table fruit-producing plant of the same name. This plant comes from Mexico and Central America as a garden plant in other tropical areas of the world. In Indonesia itself, avocados are widely found because of the tropical climate, then people also like avocados because there are many choices from various food and beverage ingredients. Lack of attention to the cultivation and breeding of avocados makes the yields less good, and not optimal. so the author conducted this research in the hope that the yield and breeding of avocado plants can be maximized. This expert system was built using Web-based programming. The method applied is Naïve Bayes, which is a method that uses statistics and probability in predicting the chances of avocado plants having growth disorders based on the presence of pests (worms) in avocado plants.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to JTIK journal and Research Division, KITA Institute as the publisher of the journal. Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.
JTIK journal and Research Division, KITA Institute and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in JTIK journal are the sole and exclusive responsibility of their respective authors and advertisers.
The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form JTIK]. The copyright form should be signed originally and send to the Editorial Office in the form of original mail, scanned document or fax :
Muhammad Wali (Editor-in-Chief)
Editorial Office of Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Research Division, KITA Institute
Teuku Nyak Arief Street Nomor : 7b, Lamnyong, Lamgugop, Kota Banda Aceh
Telp./Fax: 0651-8070141
Email: jtik@lembagakita.org - journal@lembagakita.org
References
Hutahaean, J., Siagian, Y. and Pasaribu, E.S., 2015. Expert system untuk mendiagnosa penyakit tanaman buah berbasis web. Jurnal APTEK, 7(1), pp.7-18.
Muhidin, A. and Muzzafar, G., 2019. Perancangan Sistem Informasi Kost Wilayah Karawang Berbasis Web. Jurnal SIGMA, 9(3), pp.98-104.
Yulian, Y.E.P., 2021. Rancang Bangun Menggunakan Metode Naive Bayes Dalam Sistem Pakar Penentuan Penyakit Tanaman Nanas Berbasis Web. Jurnal Portal Data, 1(1).
Salafuddin, M. and Rosyidah, U., Sistem Pakar Diagnosa Penyakit Buah Naga Menggunakanbackwarddanforward chaining. Creative Communication and Innovative Technology Journal, 10(1), pp.16-23.
Wijayanti, R. and Winiarti, S., 2013. Sistem Pakar Mendiagnosa Penyakit Pada Buah-Buahan Pascapanen (Doctoral dissertation, Universitas Ahmad Dahlan).
Rosadi, D. and Hamid, A., 2014. Sistem Pakar Diagnosa Penyakit Tanaman Padi Menggunakan Metode Forward chaining. Jurnal Computech & Bisnis, 8(1), pp.43-48.
Gaol, N.Y.L., 2020. Sistem Pakar Mendiagnosa Penyakit Tanaman Buah Citrus (Lemon) Mengggunakan Metode Certainty Factor. Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika Dan Komputer), 19(1), pp.1-7.
Sasmito, G.W., 2017. Sistem Pakar Diagnosis Hama dan Penyakit Tanaman Hortikultura dengan Teknik Inferensi Forward dan Backward Chaining. Jurnal Teknologi dan Sistem Komputer, 5(2), pp.69-74.
Das, N.R., Rai, S.C. and Nayak, A., 2018. Intelligent scheduling of demand side energy usage in smart grid using a metaheuristic approach. International Journal of Intelligent Systems and Applications, 10(6), p.30.
Mohammed, A.A., Ambak, K., Mosa, A. and Syamsunur, D., 2019. Expert system in engineering transportation: a review. Journal of Engineering Science and Technology, 14(1), pp.229-252.
Huang, Q.R., 2007. Competencies for graduate curricula in health, medical and biomedical informatics: a framework. Health Informatics Journal, 13(2), pp.89-103.
Berrar, D., 2018. Bayes’ theorem and naive Bayes classifier. Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics; Elsevier Science Publisher: Amsterdam, The Netherlands, pp.403-412.
Chen, S., Webb, G.I., Liu, L. and Ma, X., 2020. A novel selective naïve Bayes algorithm. Knowledge-Based Systems, 192, p.105361.
Burhani, H.R., Fitri, I. and Andrianingsih, A., 2021. Perbandingan Naïve bayes dan Certainty factor pada Sistem Pakar Untuk Mendiagnosa Dini Penyakit Glaukoma. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(3), pp.291-299.
Sumatorno, I., Arisandi, D., Siahaan, A.P.U. and Mesran, M., 2017. Expert System of Catfish Disease Determinant Using Certainty Factor Method. International Journal of Recent Trends in Engineering & Research, 3(8).
Burhani, H.R., Fitri, I. and Andrianingsih, A., 2021. Perbandingan Naïve bayes dan Certainty factor pada Sistem Pakar Untuk Mendiagnosa Dini Penyakit Glaukoma. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(3), pp.291-299.
Surya, A.P., Fauziah, F. and Nurhayati, N., 2021. Sistem Diagnosis Penyakit Hipokalemia menggunakan Gabungan Metode Forward Chaining dan Certainty Factor. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(2), pp.213-218.