PENERAPAN ALGORITMA NAIVE BAYES DALAM MENENTUKAN KONSENTRASI SISWA TERHADAP PROSES BELAJAR MENGAJAR DI SMP TAMAN ASUHAN

Authors

  • Farhannah Silmi Az Zahra Farhannah STIKOM Tunas Bangsa
  • Solikhun Solikhun STIKOM Tunas Bangsa Pematangsiantar

DOI:

https://doi.org/10.31598/jurnalresistor.v4i2.730

Keywords:

Student concentration, Data Mining, Naive Bayes

Abstract

The purpose of this study is to analyze whether students concentrate or not on the teaching and learning process at Pematangsiantar Park in SMP. To determine the concentration of students in the teaching and learning process, the Naive Bayes classification of data mining methods is used. Sources of research data were obtained using a questionnaire distributed to Pematangsiantar Park Middle School. So hopefully this research can help the government and the school in monitoring the concentration of students so that it can help in improving the quality and quality of schools. Based on that research that has been done,the writer uses the Naïve Bayes Method to predict student concentration resulting in a value of 95.31%, while the predicition of lack of concentration results in a value of 100.00%

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References

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Published

2021-10-28

How to Cite

Farhannah, F. S. A. Z., & Solikhun, S. (2021). PENERAPAN ALGORITMA NAIVE BAYES DALAM MENENTUKAN KONSENTRASI SISWA TERHADAP PROSES BELAJAR MENGAJAR DI SMP TAMAN ASUHAN. Jurnal RESISTOR (Rekayasa Sistem Komputer), 4(2), 142-155. https://doi.org/10.31598/jurnalresistor.v4i2.730

Issue

Vol. 4 No. 2 (2021): Jurnal RESISTOR Edisi Oktober 2021

Section

Articles

License

Copyright (c) 2021 Farhannah Silmi Az Zahra Farhannah

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