Abstract
Expert system is a computer system that can adopt human knowledge into a computer. Expert system can be used to solve problems commonly performed by experts, one of them is the diagnosis of urinary system diseases. Expert system for the diagnosis of the urinary system disease especially for the inflammation of the bladder and these pyelonephritis using the forward chaining and the dempster shafer method. Forward chaining is used to diagnose disease based on the rules and the dempster shafer is used to determine the value of confidence. The goal is to build an expert system using forward chaining and dempster shafer methods to diagnose early urinary system diseases and to determine the level of accuracy. The data used is the secondary data obtained from the UCI Machine Learning Repository as much as 120 data and 6 attributes. The result of the implementation of the forward chaining and the dempster shafer methods on this expert system of diagnosis of urinary system diseases generates an accuracy value of 87.5%.
Highlights
The rapid development of information technology has influenced various aspects of human life, even to areas outside of computer science
Expert system is a branch of computer science that can help human performance
This expert system is a sub-field of artificial intelligence
Summary
The rapid development of information technology has influenced various aspects of human life, even to areas outside of computer science. All aspects of human activity can’t be separated from the computers. Expert system is a branch of computer science that can help human performance. This expert system is a sub-field of artificial intelligence. Artificial intelligence is part of computer science that makes the machine (computer) can do the job like and as well as the human being [1]. The expert system itself is a system that seeks to adopt human knowledge into a computer designed to solve problems such as an expert [2]. An expert system can help a layman or unskilled person in a particular field to be able to answer questions, solve problems and make decisions made by an expert [3]. The purpose of the expert system is not to replace the human role, but as the material of human knowledge presented in the form of a system to be used by many people [4]
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