Sistem Pakar Untuk mendeteksi penyakit pada tanaman kol menggunakan metode naive bayes
ABSTRACT May Linda Diah Wardani, C1955201087, Sistem Pakar Diagnosa Penyakit Pada Tanaman Kol Menggunakan Metode Naïve Bayes, Pembimbing I Veny Cahya Hardita, M.Kom. Pembimbing II Ir. Hj. Siti Maryamah, MM. Cabbage is a vegetable that contains lots of fiber and health benefits. This is of course inseparable from the content of this cabbage plant, but besides its health benefits, there are also diseases that can interfere with the growth of this cabbage plant. Technology plays an important role which is certainly inseparable from information technology. The limitations of the community in recognizing a disease in cabbage are due to the lack of media and explanatory material that can help an expert explain disease in cabbage. Based on the background of the problems above, the authors created an expert system application for diagnosing diseases in cabbage plants using the Naïve Bayes method. Based on the results of the research, it produced an expert system that can diagnose types of diseases in cabbage plants so that it can help people, especially farmers, to diagnose cabbage diseases easily. This application only diagnoses 4 cauliflower diseases with 11 symptoms. Based on blackbox testing, this system is declared to function properly.