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All Journal Jurnal CoreIT Buana Information Technology and Computer Sciences (BIT and CS) JOLLT Journal of Languages and Language Teaching SIENNA
Triraharjo, Bambang
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Computer Science & IT Engineering Languange, Linguistic, Communication & Media

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Journal : Jurnal CoreIT

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Comparison Of The Performance Of C4.5 And Naive Bayes Algorithms For Student Graduation Prediction baskoro, baskoro; Triraharjo, Bambang; Wibowo, Adi
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 9, No 2 (2023): December 2023
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v9i2.24931

Abstract

Along with the development of technology, especially the development of increasingly large data storage. One organization that has large data storage is an educational organization. Educational organizations use data to obtain information, especially information about students. Student data has many attributes so that we can make predictions such as predictions of student performance, predictions of scholarship recipients and predictions of student graduation. Data mining methods in education are classified into five dimensions, one of which is prediction, such as predicting output values based on input data. From the results of the research conducted from the initial stage to the testing stage of the application of the C4.5 Algorithm, the accuracy results are higher than Naïve Bayes because in its classification stage, C4.5 processes attribute data one by one. The difference is with naïve Bayes which is influenced by the amount of data used, the comparison of the amount of training and testing data. The feasibility of the model obtained is supported by the high accuracy, precision, recall and AUC obtained from the two algorithms that have been tested. The C4.5 algorithm has an accuracy rate of 79.91%, 89.06% precision and 81.38% recall and an AUC value of 0.823. Meanwhile, Naïve Bayes has an accuracy rate of 76.95%, precision of 75.95% and recall of 98.38% and an AUC value of 0.838.Keywords: Graduation, Prediction, Data Mining, C4.5, Naïve Bayes
Co-Authors Adi Wibowo Aulia, Mega Ayu Minarni, Prilian Baskoro Baskoro Baskoro, Baskoro Dian Pratiwi Novianto, Roby Nugroho, Adam Qori'ah, Aisyatul Vidyah Surya, Ridho Pamungkas Ibnu