Work place: Universitas Insan Pembangunan Indonesia, Jl. Raya Serang KM 10, Tangerang, Indonesia
E-mail: girireksaguritno25@gmail.com
Website: https://orcid.org/0009-0001-0051-9393
Research Interests:
Biography
Giri Reksa Guritno Students of the Information Systems study program at the Indonesian Development University who graduated in 2024 with cum laude predicate. Currently working in a retail company in the Tangerang area. Currently continuing his master's degree program in computer science at Budi Luhur University, Jakarta.
By Giri Reksa Guritno Winanti Beby Tiara Andi Rukmana Nurasiah
DOI: https://doi.org/10.5815/ijieeb.2025.05.02, Pub. Date: 8 Oct. 2025
Many study programs at universities face issues, including students experiencing delays in graduation, which hinders the completion of their studies on time. These delays in student graduation contribute to a decrease in the accreditation score of the Information Systems program. One solution to address this issue is to develop a data-mining-based system to monitor and utilize student progress data by predicting their graduation status using the C4.5 Decision Tree algorithm. This research process involves several stages: problem analysis, data and system design, coding, testing, and finally, maintenance. The outcome of this research is the implementation of the C4.5 algorithm to predict students' timely and delayed graduation. The data used includes records of students who graduated in 2021 and 2022. The acceptance rate, calculated using a confusion matrix, demonstrates an accuracy level of 92.16%, based on a dataset of 119 training data points and 51 testing data points, or 70% training to 30% testing ratio. The results of this research and testing indicate that the C4.5 Decision Tree algorithm is highly suitable for predicting student graduation outcomes.
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