Abstract
The quality of a student can be demonstrated from academic success as reflected in the cumulative achievement index (GPA) achieved. This study aims to analyze the factors that influence the academic success of students of the Mathematics Education Study Program at Muhammadiyah Metro University, examine the significance of the overall and individual model parameters, and form a binary logistic model of student success. The subjects of this study were students in Mathematics Education at Muhammadiyah University of Metro. While the sample used is students of the 2-6 semester Mathematics Education of Muhammadiyah Metro University 2017/2018 Academic Year as many as 108 students. Based on the results of the study and discussion, the conclusions are: 1) Based on the variables that have been included in this study, the factors that most influence the academic success of students as indicated by GPA acquisition with the "With Praise" category are the major factors taken students while studying in high school (SMA) / equivalent; 2) The overall model parameters have a significant influence on the academic success of students and individually / partially the most significant influence is the departmental factor; 3) The regression model that is formed isg(x) = -0,924-2,575(Jurusan_1)
Highlights
The quality of a student can be demonstrated from academic success as reflected in the cumulative achievement index (GPA) achieved
This study aims to analyze the factors that influence the academic success of students of the Mathematics Education Study Program at Muhammadiyah Metro University, examine the significance of the overall and individual model parameters, and form a binary logistic model of student success
Berdasarkan kesimpulan di atas, maka dikemukakan beberapa saran yaitu dalam menerima mahasiswa untuk program studi pendidikan matematika harus memperhatikan jurusan pada saat menempuh pendidikan di Sekolah Menengah Atas (SMA)/sederajat
Summary
2. > 1 km Faktor penjelas dan peubah respon berskala kategori sehingga analisis data dilakukan dengan cara menggunakan uji metode regresi logistik dan model uji loglinear. Pengujian ini dilakukan dengan cara memodelkan semua variabel peubah yang signifikan bertujuan untuk mengetahui apakah variabel peubah berpengaruh nyata atau tidak. 3. Selanjutnya, menentukan model awal regresi logistik biner dari faktor-faktor yang mempengaruhi keberhasilan akademik mahasiswa. 4. Pengujian signifikansi masingmasing parameter dalam model dengan uji wald, pengujian ini bertujuan untuk mengetahui peranan masing-masing variabel peubah. 5. Model akhir regresi logistik biner, dari faktor-faktor yang mempengaruhi keberhasilan akademik. Terlebih dahulu dilakukan seleksi dengan cara regresi logistik sederhana menggunakan program SPSS. SPSS, karena peubah yang digunakan merupakan data nominal dan ordinal dan memiliki kategori maka perlu dilakukan transformasi untuk dibuat ke dalam variabel dummy seperti tampak pada Tabel 2
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