Prediction Of The Number Of Course Participants Using Random Forest Regression Algorithm

Rina Septiriana (Universitas Tanjungpura)
Anggi Perwitasari (Universitas Tanjungpura)
Tursina (Universitas Tanjungpura)

Jurnal Mantik
Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Classroom management is the process of using resources effectively to achieve goals. Planning the schedule is not easy because sometimes, after a schedule designed and when the schedule is published and used, there are problems where the class division of a course is not right on target. This study used the random forest regression method to predict the number of class participants. Data pattern affects the accuracy of calculating the predicted value. The best RMSE and MAE results in the Matematika Dasar Course are 6,51 for RMSE and 2,12 for MAE. At the same time, the prediction of course participant number is 73,18.