Prediksi Performa Mahasiswa Menggunakan Model Regresi Logistik

Authors

  • Nurmalitasari Nurmalitasari Universitas Duta Bangsa Surakarta
  • Eko Purwanto Universitas Duta Bangsa Surakarta, Indonesia

DOI:

https://doi.org/10.31316/jderivat.v9i2.2639

Abstract

Prediction of student performance is an important thing for a university. This is because it can help a university to prevent or treat students who are at risk of failing in their studies early. This study aims to predict student performance at Duta Bangsa Surakarta University (UDB). The model used in this study is a logistic regression model. Logistic regression is a mathematical modelling method used to determine the relationship between a binary dependent variable and one or more independent variables. The results showed that the logistic regression model could be used to predict student performance with MAPE by 8%.

 Keyword: Student Performace, Logistic Regression, UDB, MAPE

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Published

2022-12-20

Issue

Vol. 9 No. 2 (2022): Jurnal Derivat (Desember 2022)

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