One of the problems that often occurs in the conventional learning process (face-to-face) is the difficulty of students in understanding the material well. Various efforts have been made by lecturers to support online and face-to-face learning, starting from explaining lecture material through PowerPoint media and direct practice. To find out whether students really understand the material presented by the lecturer, it is necessary to trace with the aim that if there are students who have not mastered the material, there needs to be a change in the process of delivering the material. This research predicts the level of understanding in face-to-face lectures. The data used in this research is data on the value of Algorithms & Programming courses. Data with attendance, assignments, quizzes, Uts, Uas and results are obtained from the grades of students of the Pertiba University Information Systems & Technology S1 study program for the 2023/2024 Academic Year. The method used in this research is Naïve Bayes with a prediction result of 100.00%. So it can be concluded that lectures with practical learning methods directly increase the level of understanding from face-to-face lectures with lecture learning methods.
