Open AccessMobile Expert System Using Forward Chaining for Diagnosing Teak Tree Disease
Author(s) -
Imamah Imamah,
Wahyudi Agustiono,
Eka Mala Sari Rochman,
Nuris Firdaus
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1569/2/022072
Subject(s) - forward chaining , chaining , expert system , tree (set theory) , computer science , quality (philosophy) , artificial intelligence , mathematics , psychology , mathematical analysis , philosophy , epistemology , psychotherapist
The teak trees is a high-quality wood that grows in Indonesia. Teak trees are susceptible to pests and diseases within the first to 12 months of life. The limited number of agricultural agents in each sub-district becomes a reason why we proposed a mobile expert system to detect pests and diseases in teak trees. The method used in this study is forward chaining. The results of this study showed that 9 of disease were successfully detected by a human expert. Whereas by using the mobile expert system only 7 diseases were successfully detected. From this comparison, the accuracy of the mobile expert system using forward chaining method is 77%.