PREDIKSI KELULUSAN MAHASISWA TEPAT WAKTU DENGAN METODE RANDOM FOREST BERDASARKAN ALGORITMA K-MEANS PADA PASCASARJANA UNIVERSITAS SRIWIJAYA

SYTAR, M. HAFIZH and Ermatita, Ermatita (2025) PREDIKSI KELULUSAN MAHASISWA TEPAT WAKTU DENGAN METODE RANDOM FOREST BERDASARKAN ALGORITMA K-MEANS PADA PASCASARJANA UNIVERSITAS SRIWIJAYA. Masters thesis, Sriwijaya University.

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Abstract

On-time graduation is a crucial indicator for assessing the quality of higher education institutions. At the Postgraduate School of Sriwijaya University, delayed graduations remain a serious concern. This research aims to predict on-time student graduation by combining the random forest method with the K-means algorithm. The K-means algorithm is used to cluster students based on specific parameters or scopes, such as GPA, IPS, number of SKS, semester, age, and employment status. The results of this clustering are then used as input to build a predictive model using the random forest method. This research employs a data mining approach, involving stages of data collection, preprocessing, clustering, modeling, and evaluation using a confusion matrix and ROC curve. Experimental results show that this combined method provides high predictive accuracy in determining on-time student graduation, achieving an accuracy of 97.93%. This research is expected to serve as a basis for strategic decision-making by the university to enhance educational efficiency and improve the on-time graduation rate.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Kelulusan Mahasiswa, Prediksi, Random forest, K-means, Data mining, Pascasarjana, Universitas Sriwijaya
Subjects:	T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General) T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.6 General works Industrial engineering Information technology. Information systems (General) Management information systems -- Continued T Technology > T Technology (General) > T58.6-58.62 Management information systems T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.62 Decision support systems Cf. HD30.213 Industrial management
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	M. Hafizh Sytar
Date Deposited:	10 Jul 2025 05:08
Last Modified:	10 Jul 2025 05:08
URI:	http://repository.unsri.ac.id/id/eprint/177526

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