Sistem Pakar dalam Menganalisis Defisiensi Nutrisi Tanaman Hidroponik Menggunakan Metode Certainty Factor

Abstract

Currently the Expert system has become a field of research for computer scientists as well as agricultural scientists for applications in various information development. The Expert System can be designed to simulate one or more of the ways an agricultural expert uses his knowledge and experience in making the diagnosis and passing on the necessary recommendations regarding nutritional deficiencies. Nutrient deficiency is a lack of food for survival in plants. The nutrient content of plant parts, especially the leaves, is very relevant to be used to identify nutritional deficiencies. Provide the results of a diagnosis of nutritional deficiency to farmers to be a benchmark for improving plant nutrients and providing good nutrition for hydroponic plants. The data used are nutritional deficiency data and symptoms as well as nutritional solutions obtained from farmer data at the Payakumbuh City Agriculture Office. The method used in this expert system is the Certainty Factor (CF) method. This method provides a diagnosis in the form of certainty or uncertainty of conditions in the rules used to conclude. The results of testing this method showed as many as 12 nutritional deficiencies were detected with 41 symptoms experienced. So that it can measure the level of nutritional deficiency that occurs. Expert System in Analyzing Hydroponic Plant Nutrient Deficiency Using Certainty Factor Method can show that predictions are almost 94% accurate.

Analisis Metode Certainty Factor Pada Sistem Pakar Diagnosa Kerusakan Sepeda Motor

“…Faktor kepastian (certainty factor) adalah suatu metode yang digunakan untuk membuktikan suatu fakta apakah pasti atau tidak pasti yang sering dipakai dalam sistem pakar. Secara umum Teori certainty factor ditulis dalam suatu interval: Certainty factor menggunakan suatu nilai untuk mengasumsikan derajat keyakinan seorang pakar terhadap suatu data [18], [19], [20]. Rumusan Dasar (Certainty Faktor):…”

Penerapan Certainty Factor pada Diagnosis Penyakit Tanaman Tomat

“…Selanjutnya diagnosa penyakit tanaman tebu menggunakan metode CF ini dengan akurasi 94% [4]. Penelitian tentang penggunaan metode Certainty Factor telah dapat menganalisis kekurangan zat makanan pada tanaman hidroponik dengan akurasi 94% [5]. Penelitian lainnya menggunakan metode CF untuk identifikasi penyakit tanaman lada telah menghasilkan akurasi sebesar 90,1 % secara time series [6].…”