Penerapan Metode Certainty Factor Untuk Sistem Pakar Diagnosis Hama Dan Penyakit Pada Tanaman Tembakau

By M. Arifin, S. Slamin, W. E. Y. Retnani. 2017

60 citations recorded by the source corpus.

The cultivation process of tobacco plants is influenced by various factors, one of that is a factor of pests and diseases. Generally, the farmers have trouble to differentiating between pests and diseases, it's because most farmers lack information and still rely on the experience of other farmers to overcome the problems of pests and diseases that exist. Often there was an error in distinguishing between pests and diseases, such as pest eradicated with cures for diseases (fungicides), on the contrary, the disease eradicated by pest (insecticide). As a result of pests and diseases are not controlled and kept attacking the plants, to the detriment of a lot of cost and effort. In pest and disease management, necessary agricultural consultant who was able to diagnose pests and diseases in tobacco plants. In this research, diagnosis expert system built pests and diseases in tobacco plants to help diagnose the type of pest or disease that attacks tobacco plants, as well as provide a variety of solutions for the pests or disease. The method used in this expert system is a method of Certainty Factor. Certainty Factor method selected for this method is suitable in the process of determining the identification of pests and diseases, and the results of the application of this method is a percentage. Percentage system here is the level of accuracy of the determination of disease or pest that infects tobacco plants. The percentage is affected by the value obtained from the system MB and MD values obtained from an expert assessment. Based on the research conducted, the determination of a pest or disease that attacks tobacco plants affected by the election of symptoms. The percentage of the consulting expert system taken from the highest yield first and second, as an alternative to other pest or disease that attacks tobacco.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/deb76b7b3cad994be5981755a15cdb2a787d7041