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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Mey Suci Br Pardosi
Universitas Malikussaleh
Computer Science & IT Engineering

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SISTEM PEMILIHAN SISWA BERPRESTASI DI SEKOLAH MIN 1 LABUHANBATU UTARA MENGGUNAKAN METODE NAIVE BAYES: OUTSTANDING STUDENT SELECTION SYSTEM AT MIN 1 LABUHANBATU UTARA SCHOOL USING THE NAIVE BAYES METHOD Mey Suci Br Pardosi; Munirul Ula; Rini Meiyanti
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6519

Abstract

This study aims to develop a system for selecting outstanding students at MIN 1 Labuhanbatu Utara using the Naive Bayes method as a classification technique. The data used consists of 252 student records as training data and 52 records as test data. The testing results show that the system can perform classification with 100% accuracy, where all test data were correctly predicted. This proves that the Naive Bayes method is highly effective and reliable in the process of selecting outstanding students within the school environment. Furthermore, the implementation of this system facilitates and accelerates the assessment and decision-making process without compromising the accuracy and precision of the results. Thus, this system is expected to assist the school in managing and determining outstanding students more efficiently and accurately.
Co-Authors Munirul Ula Rini Meiyanti