DIAGNOSA PENYAKIT TANAMAN KARET MENGGUNAKAN METODE CASED BASE REASONING DENGAN ALGORITMA SORGENFREI

AFRIANSYAH, EDWARD ADE and Utami, Alvi Syahrini and Rodiah, Desty (2021) DIAGNOSA PENYAKIT TANAMAN KARET MENGGUNAKAN METODE CASED BASE REASONING DENGAN ALGORITMA SORGENFREI. Undergraduate thesis, Sriwijaya University.

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Abstract

Rubber plant farmers often suffer damage asa result of maladies that attack rubber plants, the limitations of one expert on information and counseling about solving problems that farmers experience. This requires a system that has the same abilities as one expert at diagnosing rubber plant disease. One is the expert system. Systems of experts require methods used to support the system's passing, including the method for case based algorithms and sorgenfrei algorithms. This method employed existing knowledge to find cases by calculating the similarities between new and old. The results showed that the application of the Case Based Reasoning method and the Sorgenfrei Algorithm had an accuracy of 86.67%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Rubber Plant Diseases, Expert System, Cased base reasoning, sorgenfrei algorithm.
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) T Technology > TA Engineering (General). Civil engineering (General) > TA174.A385 Engineering design--Data processing. Manufacturing processes--Data processing. Computer integrated manufacturing systems. Manufacturing processes--Automation. CAD/CAM systems.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Edward Ade Afriansyah
Date Deposited:	28 Jul 2021 07:00
Last Modified:	28 Jul 2021 07:01
URI:	http://repository.unsri.ac.id/id/eprint/50767

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