Abstract
This study aims to develop a web-based expert system that can identify cassava disease using Case-Based Reasoning Method and Shafer Dempster Method, and to know the performance comparison of both based on the accuracy of identification. Case-Based Reasoning (CBR) is a computer-generated system that uses old knowledge to solve new problems. CBR provides solutions to new cases by looking at the oldest cases that are closest to new cases. The identification process is done by entering new cases containing the symptoms to be identified into the system, then perform the process of calculating the value of similarity between the new case and the base case using the nearest neighbor method. Dempster Shafer based on two ideas is the idea of obtaining degrees of confidence of subjective possibilities and the rule of dempster safer itself to combine degrees of confidence based on the evidence obtained. This expert system is built using PHP programming language and MySQL data base. The output of the system is the percentage of identification result of both methods. Testing and analysis results show that Case-Based Reasoning provides better identification accuracy than Dempster Shafer.
Highlights
Cassava (Manihot Esculenta Crantz) is one of the plants that can be consumed tubers and leaves
The case-based reasoning (CBR) method can be used for reasoning in the rice disease identification expert system resulting in 100% sensitivity and an accuracy rate of 82.69% [6]
This study aims to develop a web-based expert system that can identify cassava disease using the method of Case-Based Reasoning and Dempster Shafer Method, and know the comparison of the performance of both methods from the side of identification accuracy
Summary
Cassava (Manihot Esculenta Crantz) is one of the plants that can be consumed tubers and leaves. Cassava can be used as basic material of food and processed raw materials of home industry. One of the utilizations of cassava as the main ingredient of typical food of West Sumatra. There is an effort to make cassava productivity not decrease. Based on data from Food Security Agency (Badan Ketahanan Pangan) of West Sumatra, cassava has decreased production by 19.22%. One of the causes of declining Indonesian cassava production is pests and diseases such as leaf mites, fungi and bacteria. Pest and disease attacks are caused by the wrong cropping pattern and the lack of knowledge of the farmers will attack pests and diseases. The lack of knowledge of the farmers, especially in terms of identifying pests and diseases in cassava
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
