MEMPREDIKSI PRESTASI MAHASISWA FIKOM MENGGUNAKAN METODE NAÏVE BAYES

Authors

  • Devlin Claudius Zendrato FIKOM, Universitas Katolik Santo Thomas Medan
  • Joneri Samuel Girsang FIKOM, Universitas Katolik Santo Thomas Medan
  • Emia Ginting FIKOM, Universitas Katolik Santo Thomas Medan
  • Sardo Pardingotan Sipayung FIKOM, Universitas Katolik Santo Thomas Medan

Keywords:

Prestasi Mahasiswa, Naïve Bayes, Status Ekonomi Keluarga, Kedisiplinan Mahasiswa, Nilai Akademik, Prediksi Prestasi

Abstract

Student achievement is one of the important indicators in the field of education. Various factors can influence student achievement, and one of them is family economic status and student discipline. The objective of this research is to predict student achievement using the Naive Bayes method based on economic status and student discipline. The Naive Bayes method is a simple and easily implementable classification method. The data used in this study consists of family economic status, attendance level, and academic grades of the students. The results of the research indicate that this method is accurate in predicting student achievement. This demonstrates the importance of family economic status and student discipline in student achievement. This research is expected to provide valuable information to enhance student achievement by understanding the relationship between economic status and discipline.

References

Rofilde Hasudungan, Wawan Joko Pranoto, “Implementasi Teorema Naïve Bayes Pada Prediksi Prestasi Mahasiswa” JURTI, Vol.5 No.1, Juni 2021, ISSN: 2579-8790

Syarli, Asrul Ashari Muin, “Metode Naive Bayes Untuk Prediksi Kelulusan (Studi Kasus: Data Mahasiswa Baru Perguruan Tinggi)” Jurnal Ilmiah Ilmu Komputer, Vol. 2, No. 1, April 2016, (P) ISSN 2442-4512 (O) ISSN 2503-3832

https://murnati.wordpress.com/2019/04/07/metode-naive-bayes-artificial-intelligence/

Bustami Yusuf, Muthmainna Qalbi, Basrul, Ima Dwitawati, Malahayati, Mega Ellyadi, “IMPLEMENTASI ALGORITMA NAIVE BAYES DAN RANDOM FOREST DALAM MEMPREDIKSI PRESTASI AKADEMIK MAHASISWA UNIVERSITAS ISLAM NEGERI AR-RANIRY BANDA ACEH” Cyberspace: Jurnal Pendidikan Teknologi Informasi Volume 4, Nomor 1, Maret 2020, 50-58

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Published

2024-06-15

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Articles