Klasifikasi Peminatan Topik Keilmuan Dalam Penyelesaian Studi Menggunakan Algoritma Naive Bayes
-
Waldi Setiawan
*
STIKOM Tunas Bangsa, Pematangsiantar,
Indonesia
- Dedy Hartama STIKOM Tunas Bangsa, Pematang Siantar, Indonesia
- Muhammad Ridwan Lubis STIKOM Tunas Bangsa, Pematang Siantar, Indonesia
- Ihsan Syajidan STIKOM Tunas Bangsa, Pematang Siantar, Indonesia
- Agus Perdana Windarto STIKOM Tunas Bangsa, Pematang Siantar, Indonesia
Abstract
Academic expertise is a subject of study taught at the university level to assist students in completing their thesis writing, thereby enabling them to successfully complete their graduate studies. The chosen academic specialization aligns with the vision and mission of each program and can have a positive impact on the university. Students' chosen fields of expertise in completing their studies may either align or not align with the program's vision and mission. The variables used in this research are GPA, MKRV1, MKRV2, and Academic Expertise. The aim of this research is to determine how many students select an academic topic that aligns with the program's vision and mission, particularly in this case, the Computer Science program, as they complete their studies. The Naïve Bayes algorithm is employed in this research, yielding an accuracy rate of 98.11%. This research can provide valuable insights for STIKOM Tunas Bangsa Pematang Siantar to understand the extent to which students from other programs choose academic expertise that aligns with the vision and mission of each program.
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