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Analysis of Expert System Design Using Certainty Factor Methods in Determining Early Childhood Learning Styles

Authors: Wahyuni, Sri;

Analysis of Expert System Design Using Certainty Factor Methods in Determining Early Childhood Learning Styles

Abstract

In this study the authors made an application using an expert system to determine early childhood learning styles using certainty factor methods. Where the authors apply the knowledge of psychologists to analyze early childhood learning styles. With this research can help parents and teachers know about children's learning styles, by answering questions from the application then the user answers will be processed by the system and the system will display conclusions about the ability of children's learning styles that exist in these children along with information about appropriate teaching methods based on the results of the diagnosis. For the method used is the Certainty Factor method using this method because it wants to create a system that can describe the level of expert confidence in a problem in this case to determine the learning style of early childhood through the criteria of children who appear to children. As for the results of the study: The system designed can be used very easily, so that the community can use this system to produce reports on Determining Early Childhood Learning Styles, with the existence of this system can also save community costs, because there is no need to go to a psychologist just for consultation. The test results "Expert System Determines Early Childhood Learning Styles Using Certainty Factor Method" shows that this expert system can Determine Early Childhood Learning Styles in accordance with the answers given by users with an accuracy value of 91%.

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Expert System, Certainty Factor, Childhood Learning Styles

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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