International Conference on Cyber and IT Service Management Certainty Factors in Expert System to Diagnose Disease of Chili Plants

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Tanggal

2018-08-07

Abstraksi

Abstract:

The accurate analysis of pests and diseases of the chili plants can determine the right solution to reduce the production failure of plants. But the number of horticulture experts who can help to diagnose pests and diseases of the chili plants is still limited. The expert system is built with the aim to help diagnosing pests and diseases of the chili plant. This expert system extracts expert's knowledge by using inference engine. The inference engine used is the Forward Chaining, which works by analyzing symptoms to achieve a demanded conclusion. The incompleteness of the experts' domain knowledge and the difference of the expert sources or the incompleteness of information provided by the expert system users, can lead into uncertain result of the expert system. The application of Certainty Factors in Expert System is able to anticipate Uncertainty from the Expert System result. The result presented by the expert system is in the form disease names, the definition, the solution and the certainty value from conclusion

Kata Kunci: Expert System, Forward Chaining, Certainty Factors

URI
https://ieeexplore.ieee.org/document/8674264

Bidang ilmu
Kecerdasan Buatan (Artificial Intelligence)

Bibliografi

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