Sistem Pakar Diagnosa Hama Dan Penyakit Tanaman Okra Menggunakan Metode Forward Chaining Dan Certainty Factor
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Institusion
Politeknik Negeri Jember
Author
Lestamanta, Nafis Hibatullah
Subject
458 - Teknik Informatika
Datestamp
2022-06-30 06:03:15
Abstract :
Okra (Abelmoschus esculentus L. Moench) is a plant that belongs to the Malvaceae or cotton family. The distribution of okra plants is widespread in all parts of the world with tropical and sub-tropical climates. An Expert System is a system defined as a computer program that collects expert knowledge to solve problems that occur in okra plants. This expert system was created with the aim of diagnosing okra plant pests and providing appropriate control solutions to problems that occur. The purpose of this expert system is to diagnose okra plant pests and provide appropriate control solutions to problems that occur. This expert system combines two methods, including Forward Chaining and the Certainty Factor. Forward Chaining method that collects initial data or facts for further processing that will produce a solution. While the Certainty Factor method is a method of Certainty Factor that uses the level of trust from an expert. Accuracy results were carried out by comparing the results of system diagnostics with manual diagnoses carried out by an expert on 27 cases of okra plants, obtaining an accuracy of 81.4%.
Okra (Abelmoschus esculentus L. Moench) is a plant that belongs to the Malvaceae or cotton family. The distribution of okra plants is widespread in all parts of the world with tropical and sub-tropical climates. An Expert System is a system defined as a computer program that collects expert knowledge to solve problems that occur in okra plants. This expert system was created with the aim of diagnosing okra plant pests and providing appropriate control solutions to problems that occur. The purpose of this expert system is to diagnose okra plant pests and provide appropriate control solutions to problems that occur. This expert system combines two methods, including Forward Chaining and the Certainty Factor. Forward Chaining method that collects initial data or facts for further processing that will produce a solution. While the Certainty Factor method is a method of Certainty Factor that uses the level of trust from an expert. Accuracy results were carried out by comparing the results of system diagnostics with manual diagnoses carried out by an expert on 27 cases of okra plants, obtaining an accuracy of 81.4%.
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