Intelligent Computing System to Predict Vocational High School Student Learning Achievement Using NaÃ¯ve Bayes Algorithm
Vocational High School with ICT major need an intelligent computing system that could predict the student learning achievement. The system used fifteen achievement indicators and NaÃ¯ve Bayes algorithm in data processing. Testing on student achievement data produces the conclusion that is the highest intelligent accuracy values in 53% with lowest accuracy value in 48% based on NaÃ¯ve Bayes algorithm processing. The result of mining process using NaÃ¯ve Bayes algorithm can be used to classify the 3rd year student achievement to five categories. These categories are Very Good, Good, Fair, Poor, and Failed. The system testing result showed that this intelligent computing system function was fitted with Vocational High Schoolâ€™s system requirement, system design, and system implementation.
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