Model Regresi Dummy Indeks Prestasi Akademik Mahasiswa Program Studi Matematika Faperta Unimor

Authors

  • Grandianus Seda Mada
  • Nugraha K. F. Dethan
  • Faustianus Luan

DOI:

https://doi.org/10.32938/j-math.v1i2.3759

Keywords:

Regression Analysis Dummy, Dummy variables, Grade Point Average

Abstract

One indicator that can be used as a determinant in the quality of higher education is the academic achievement of students. Grade Point Average (GPA) is a measure of the academic performance. GPA gained students can not be separated from the quality of the incoming student input at the college. This study discusses some of the indicators that can be used as a measure of the quality of student input from the academic side, such as the National Examination (NE), the origin of school (public / private), gender and type of college entrance exam (SNMPTN test, SBMPTN test and independent institution test). Because some of these indicators are qualitative so the data analysis used regression analysis with dummy variables. Research conducted on students of Mathematics Study Program, Faculty of Agriculture, Timor University, class of 2017 to class of 2021. From the data processing, obtained regression model: . From the data analysis, concluded that the female students of Mathematics Study Program, Faculty of Agriculture, Timor University, coming from public schools and type of college entrance exam is SNMPTN have the greatest tendency to obtain high GPA compared with other students. In addition,  for the regression equation obtained above was 38.2% means that the independent variable in the model can explain the diversity of the GPA of 38.2%.

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Published

2023-12-05

How to Cite

Mada, G. S., Dethan, N. K. F., & Luan, F. (2023). Model Regresi Dummy Indeks Prestasi Akademik Mahasiswa Program Studi Matematika Faperta Unimor. Journal of Mathematics Theory and Applications, 1(2), 9–21. https://doi.org/10.32938/j-math.v1i2.3759

Issue

Vol. 1 No. 2 (2023): Edisi April 2023

Section

Articles

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