Abstract
The Rough Set method is part of machine learning that analyzes the dataset's uncertainty used to determine the attributes of important objects (classification). This study aimed to extract information from the rough set method using the Rough Set Exploration System (RSES) application in the case of determining student graduation on time. The attributes used are Student Status (A1), Gender (A2), Grade Point Average (A3) and Graduation Status (A4). Sources of data obtained from the International Journal of Information System & Technology (IJISTECH) paper. The results of the application of the Rough Set method in determining the predictions of students who will graduate on time produce new knowledge, namely the graduation status based on the Grade Point Average. There are 3 Reductions with the 41 Rule. But overall, the attributes that affect the level of determining students who graduate on time are Student status (A) and Grade Point Average (C).
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