Coffee plant disease identification system using the certainty factor method
Keywords:
Coffee plant disease, Identification system, Certainty factor methodAbstract
The cultivation of the coffee plant is significant in the field of agriculture and is practiced worldwide, especially in Indonesia, as a major producer. Farmers find it difficult to promptly identify and treat the disease, resulting in huge losses. To increase efficiency, the proposed system uses the certainty factor method for disease identification. Implementation of an identification system using the factor certainty method to speed up the provision of disease information and solutions to coffee plant diseases based on predetermined criteria and weights. This research uses the forward chaining method for planning, monitoring and future-oriented reasoning. Furthermore, the Certainty Factor technique guarantees precise outcomes by evaluating user-experienced results in accordance with the confidence level associated with the symptoms. The successful implementation of the identification system was confirmed through black box testing. Black-box alpha testing shows the system functions well. Black-box Beta testing, involving 10 users, resulted in a success rate of 87%, indicating user satisfaction.
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