RANCANG BANGUN APLIKASI KONSULTASI DETEKSI PENYAKIT TANAMAN KEDELAI MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
RINGO, SRI PUTRI SIRINGO
Karmila, sely
Fitriani, Yessy
Karmila, sely
Fitriani, Yessy
Subject
Teknik Informatika
Datestamp
2022-09-22 03:17:15
Abstract :
Soybean plants can be attacked by various plant-disturbing organisms. This problem will occur in reducing the quality and quantity of crops and the success of soybean crop yields. Lack of knowledge and information to overcome the problem of plant disturbing organisms is one reason for the loss of farmers. To facilitate farmers in detecting soybean disease, an expert system will be implemented into a web-based application using Forward Chaining inference method and calculation of the results of diagnosis with the Certainty Factor method. Certainty Factor method is used to determine the results by calculating the Certainty Factor value. Applications are designed with UML diagrams, PHP programming languages and MySQL databases so as to produce output in accordance with the analysis and purpose of this final project. The result of this final project is the identification of gardening soybean disease based on the symptoms of the disease experienced by the plant as well as providing a way of controlling which can later be used to reduce the risk of damage to plants.
Soybean plants can be attacked by various plant-disturbing organisms. This problem will occur in reducing the quality and quantity of crops and the success of soybean crop yields. Lack of knowledge and information to overcome the problem of plant disturbing organisms is one reason for the loss of farmers. To facilitate farmers in detecting soybean disease, an expert system will be implemented into a web-based application using Forward Chaining inference method and calculation of the results of diagnosis with the Certainty Factor method. Certainty Factor method is used to determine the results by calculating the Certainty Factor value. Applications are designed with UML diagrams, PHP programming languages and MySQL databases so as to produce output in accordance with the analysis and purpose of this final project. The result of this final project is the identification of gardening soybean disease based on the symptoms of the disease experienced by the plant as well as providing a way of controlling which can later be used to reduce the risk of damage to plants.
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