Abstract
The development of existing artificial intelligence technology has been widely applied in detecting diseases using expert systems. Dengue Infection is one of the diseases that is commonly suffered by the community and may cause in death. In this study, an expert diagnosis system for dengue infection is made by comparing between both Bayes method and Certainty Factor. The aims are to build an expert system using Bayes and Certainty Factor for early diagnosis of dengue infection and also to determine their level of accuracy. There are 80 data used in this study which are obtained from the medical records of Sekaran Health Center in Semarang City. The test results show that the level of accuracy obtained from 80 medical record data for Bayes method is 90% and the Certainty Factor method is 93,75%.
Highlights
The development of both information and technology has recently undergone a lot of rapid changes, along with the more and more complex human needs
Based on the description above, this study aims to build an expert system for early diagnosis of dengue infection by using Bayes and Certainty Factor and to determine the level of accuracy between Bayes and Certainty Factor in the early diagnosis of dengue infection
Data Acquisition The data used in this study were the medical-records results of patients suffering from dengue infection in the form of Dengue Fever (DF), Dengue Hemorrhagic Fever (DHF), and Dengue Shock Syndrome (DSS), which were taken at Sekaran Health Center of Semarang as many as 80 data
Summary
The development of both information and technology has recently undergone a lot of rapid changes, along with the more and more complex human needs. A branch of computer science that might help human performances is an expert system which is as a subfield of artificial intelligence. Artificial intelligence is the field of computer science that focuses on creating machines as brilliant as human behavior [1]. Expert systems are computer-based systems that use knowledges, facts, and reasoning techniques in solving problems that can be solved by an expert in a particular field [3]. With the help of an expert system, a layman or someone who is not expert in such particular fields will be able to answer questions, solve problems and make decisions that are usually done by an expert [4]. The use of expert systems is currently used in the field of health, such as the problem in making a diagnosis of diseases
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