Decision Tree Algorithm Analysis (C4.5) to Determine Student Eligibility in Taking Final Assignments

Abstract

Determining student eligibility for undertaking a final project is an important process in higher education to ensure students' academic readiness. This process is often carried out manually based on several criteria such as the number of completed credits, Grade Point Average (GPA), and the completion of prerequisite courses, which may lead to subjectivity and inconsistency in decision-making. This study aims to analyze the application of the Decision Tree algorithm using the C4.5 method to determine student eligibility for final project enrollment. The C4.5 method is chosen due to its ability to handle both categorical and numerical data and to generate easily interpretable decision rules. The research stages include data collection, data preprocessing, decision tree construction, and model evaluation. The results show that the C4.5 algorithm is capable of producing an accurate classification model and can be used as a decision support system for determining student eligibility. Therefore, the application of this method is expected to improve objectivity, consistency, and efficiency in the decision-making process for final project eligibility.