Determination of the Children Classification with Special Needs in Extraordinary High School in Banjarmasin Using the Naive Bayes

Heru Kartika Candra, Said Muhammad, Rinova Firman Cahyani, Muhammad Bahit, Dodon Turianto Nugrahadi, Billy Sabella

Abstract


Children with special needs with different physical characteristics are very easy to distinguish. However, in children with special needs with different psychological characteristics, there are difficulties in determining the classification of the child. Children with mental disorders are children who have deviations in the ability to think critically, logically in responding to the world around them. This study determined the classification of children with special needs, the decision support system can analyze using the naive bayes classification (NBC) method. The result showed that Naïve Bayes Classifier algorithm can be used as the basis for the decision-making process by the Special High School Special Education Foundation (SMALB YPLB) Banjarmasin. In this study, it is hoped that using an application based on the Naive Bayesian Classification method can be used as an alternative calculation that is more effective than calculations using the manual method, with the achievement of conformity of the results reaching 80%.

Keywords


Children with Special Needs; Classification; Naive Bayesian Classification

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DOI: http://dx.doi.org/10.18415/ijmmu.v9i2.3413

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