Ahmad Rofi’i
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CASE-BASED REASONING FOR PREDICTING COCOA KERNEL QUALITY Suhendro Yusuf Irianto; Ahmad Rofi’i
Prosiding International conference on Information Technology and Business (ICITB) 2020: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 6
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Agriculture sector recently showed a decreasing trend seen on a poor quality of the harvest. The objective of this study was to measure the level of cocoa kernel quality. The method used in this study was Case-Base Reasoning (CBR) method. The data was obtained from the laboratory data. The result of this study was that the quality of cocoa kernel was AA (premium) followed with A, B, C, and S (random) qualities. It was expected that it was able to improve the quality of cocoa kernel.Keyword : CBR (Case-Based Reasoning), Cocoa Kernel, Premium.