Expert System Diagnosis of Bowel Disease Using Case Based Reasoning with Nearest Neighbor Algorithm

Lucky Gagah Vedayoko, ILKOM UNNES and Endang Sugiharti, ILKOM UNNES and Much Aziz Muslim, ILKOM UNNES (2017) Expert System Diagnosis of Bowel Disease Using Case Based Reasoning with Nearest Neighbor Algorithm. Scientific Journal of Informatics, 4 (2). pp. 134-142. ISSN 2407-7658

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Abstract

Expert System is a computer system that has been entered the base of knowledge and set of rules to solve problems like an expert. One method in the expert system is Case Based Reasoning. To strengthen the retrieve stage of this method, the Nearest Neighbor algorithm is used. Bowel is one of the digestive organs susceptible to disease. The purpose of this study is to implement expert systems using Case Based Reasoning with Nearest Neighbor algorithm in diagnosing bowel disease and determine the accuracy of the system. Data used in this research are 60 data, obtained from medical record RSUD dr. Soetrasno Rembang. Variables used are general symptoms and types of diseases. The level of system accuracy resulting from scenario are 40 data as source case, and 20 data as target case that is equal to 95%.

Item Type:	Article
Uncontrolled Keywords:	Expert System, Bowel Disease, Case Based Reasoning, Nearest Neighbor.
Subjects:	T Technology > Information and Computer > Expert System T Technology > Computer Engineering
Fakultas:	Fakultas Matematika dan Ilmu Pengetahuan Alam > Ilmu Komputer, S1
Depositing User:	mahargjo hapsoro adi
Date Deposited:	04 Oct 2019 14:38
Last Modified:	04 Oct 2019 14:38
URI:	http://lib.unnes.ac.id/id/eprint/33059

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