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All Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Achmad Bisri
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Integrasi Gradient Boosted Trees dengan SMOTE dan Bagging untuk Deteksi Kelulusan Mahasiswa Achmad Bisri; Rinna Rachmatika
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (954.179 KB) | DOI: 10.22146/jnteti.v8i4.2554

Abstract

Education has an important role in life. Pamulang University is a university which provides education at affordable cost. However, based on student academic performance data, there is imbalance in class between the number of students who graduate on time and students who can not graduate on time, on various study programs. In this paper, an implementation of SMOTE and bagging techniques was conducted on the Gradient Boosted Trees (GBT) classification method for handling the class imbalance problem. The proposed method is able to provide significant results with an accuracy of 80.57% and an AUC of 0.858, in the category of good classification.
Co-Authors Rinna Rachmatika