Model Regresi Dummy untuk Indeks Prestasi Kumulatif Mahasiswa

Authors

  • Dita Monita Palangka Raya University

DOI:

https://doi.org/10.24252/msa.v9i2.20590

Abstract

Regresi yang melibatkan variabel dummy (bernilai 0 atau 1) dapat digunakan untuk menentukan pengaruh dari variabel dummy terhadap suatu variabel kuantitatif. Penelitian ini bertujuan untuk menentukan model regresi yang menyatakan hubungan antara IPK mahasiswa dengan nilai UN (variabel kuantitatif) dan empat variabel dummy yaitu status SMA/SMK (SMA), tingkat akreditasi SMA/SMK (AK), asal kabupaten dari SMA/SMK (KAB), dan jalur masuk perguruan tinggi (PT). Populasinya adalah semua mahasiswa pendidikan matematika angkatan (yang masuk) di tahun akademik 2019/2020 dari salah satu universitas di Palangka Raya, Kalimantan Tengah. Penelitian ini dilaksanakan pada populasi. Banyak anggota populasi adalah 59 mahasiswa. Peneliti mengumpulkan data menggunakan survey online (google form). Analisis data dilakukan secara deskriptif (tabel dan grafik), dan inferensia (analisis regresi dummy). Hasilnya menunjukkan bahwa UN, SMA, dan AK secara signifikan berpengaruh terhadap IPK, sedangkan dua variabel dummy lainnya tidak signifikan. Model regresi terbaiknya adalah .

References

[1] Amalita, N., & Kurniati, Y, 2013, “Model regresi dummy dalam memprediksi performansi akademik mahasiswa jurusan matematika FMIPA UNP”, Semirata FMIPA BKS Barat (pp. 387-391), Lampung: Unila.
[2] Amalita, N., & Kurniawati, Y, 2013, “Model regresi dummy indeks prestasi makademik mahasiswa angkatan 2010 jurusan matematika FMIPA UNP”, Eksakta, 2, 17-23.
[3] Chatterjee, S., & Simonoff, J. S, 2013, “Handbook of Regression Analysis”, Hobokeen, New Jersey: John Wiley & Sons, Inc.
[4] Lestari, W, 2017, “Pengaruh kemampuan awal matematika dan motivasi belajar terhadap hasil belajar matematika”, Jurnal Analisa , 3 (1), 76-84.
[5] Mairing, J. P. (2016). Statistika pendidikan: Konsep dan aplikasi menggunakan minitab dan excel. Yogyakarta: Andi Offset.
[6] Montgomery, D. C., Peck, E. A., & Vining, G. G, 2012, “Introduction to Linear Regression Analysis (5th Edition ed.)”, Hoboken, New Jersey: John Wiley & Sons, Inc.
[7] Sawawa, D., Solehudin, A., & Sabri, 2018, “Pengaruh faktor internal dan eksternal siswa terhadap hasil belajar pada mata pelajaran mekanika teknik dan elemen mesin”, Journal of Mechanical Engineering Education , 5 (1), 21-26.

Downloads

Published

2021-12-28

How to Cite

[1]
D. Monita, “Model Regresi Dummy untuk Indeks Prestasi Kumulatif Mahasiswa”, MSA, vol. 9, no. 2, pp. 43–50, Dec. 2021.

Issue

Vol. 9 No. 2 (2021): VOLUME 9 NOMOR 2 TAHUN 2021

Section

Artikel

License

Jurnal MSA applies the Creative Commons Attribution 4.0 International License (CC BY 4.0) to its published articles.

Under this license, readers are free to read, download, copy, distribute, print, search, link to the full texts of articles, and reuse the published materials for any lawful purpose, including commercial purposes, provided that appropriate credit is given to the original author(s) and the source of publication.

The terms of this license are as follows:

  1. Attribution: Users must give appropriate credit to the author(s), cite the original article, acknowledge Jurnal MSA as the source of publication, provide a link to the license, and indicate whether any changes have been made.

  2. Sharing and Redistribution: Users may copy and redistribute the published material in any medium or format, provided that the license conditions are respected.

  3. Adaptation and Reuse: Users may remix, transform, translate, and build upon the published material for any purpose, including commercial purposes, subject to the attribution requirements of CC BY 4.0.

  4. Copyright Ownership: Authors retain the copyright of their published works. By publishing in Jurnal MSA, authors grant permission for their articles to be distributed and reused under the terms of the CC BY 4.0 license.

  5. No Additional Restrictions: Users may not impose additional legal or technological restrictions that prevent others from exercising the rights granted by this license.

  6. Third-Party Materials: Materials incorporated into an article that are owned by third parties may be subject to separate copyright or licensing terms. Users are responsible for obtaining any additional permissions required for their reuse.

The CC BY 4.0 license does not remove the obligation to acknowledge the original authors and source. Users must comply with the applicable attribution requirements when reusing or redistributing published articles.

For the complete license terms, please visit:

Creative Commons Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0/

By accessing and reusing articles published in Jurnal MSA, users agree to respect the applicable license conditions.