Intelligent Computing System to Predict Vocational High School Student Learning Achievement Using NaÃ¯ve Bayes Algorithm | Zendy

Admaja Dwi Herlambang | Zendy; Satrio Hadi Wijoyo | Zendy; Aditya Rachmadi | Zendy

Open Access

Intelligent Computing System to Predict Vocational High School Student Learning Achievement Using NaÃ¯ve Bayes Algorithm

Author(s) -

Admaja Dwi Herlambang,

Satrio Hadi Wijoyo,

Aditya Rachmadi

Publication year - 2019

Publication title -

journal of information technology and computer science

Language(s) - English

Resource type - Journals

eISSN - 2540-9824

pISSN - 2540-9433

DOI - 10.25126/jitecs.20194169

Subject(s) - vocational education , naive bayes classifier , bayes' theorem , computer science , machine learning , algorithm , student achievement , function (biology) , intelligent tutoring system , process (computing) , artificial intelligence , mathematics education , mathematics , academic achievement , psychology , bayesian probability , support vector machine , pedagogy , evolutionary biology , biology , operating system

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 Naive 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 Naive Bayes algorithm processing. The result of mining process using Naive Bayes algorithm can be used to classify the 3 rd 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 School’s system requirement, system design, and system implementation.

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