Analisis Hubungan Antara Jalur Masuk Universitas dengan Predikat Kelulusan Mahasiswa

Authors

  • Yasmin Kamila Universitas Airlangga
  • Andini Sa’idah Universitas Airlangga
  • Aditya Syarifudin Akbar Universitas Airlangga
  • Fiyadika Amalia Nurizah Azzen Universitas Airlangga
  • Achmad Yazid Busthomi Rohim Universitas Airlangga
  • Nur Chamidah Universitas Airlangga

DOI:

https://doi.org/10.31102/zeta.2023.8.1.23-29

Keywords:

2020 campus clustering, chi-square test, grade point average, state university,, university entrance pathway

Abstract

There are different characteristics of each entry route, so there will be the potential to achieve a different GPA. There are 3 types of entrance routes for public universities held by LTMPT, namely SNMPTN, SBMPTN, and SMMPTM. The achievement of student learning outcomes in tertiary institutions can be seen through the final results indicated by the GPA. Diploma and undergraduate program students have four graduation predicates, three of which are satisfactory (GPA 2.76-3.00), very satisfactory (GPA 3.01-3.50), and with honors (GPA more than 3.50). The population in this study were all PTN graduates from 2018 to 2022. The sample used in this study was at least 50 PTN graduates from 2018 to 2022 and 150 samples. This research will be tested using the Chi-Square test method. Based on the Chi-Square test on the contingency table related to the relationship between college admissions and student graduation predicates, it can be concluded that there is no relationship between college admissions and student graduation predicates. In addition, the relationship between university admissions and student graduation predicates is related to majors and campus clustering in 2020. Meanwhile, the relationship between university admissions and student graduation predicates has no relationship with gender and domicile.

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References

Astuti, A. B. (2020). Analisis Data Kategorik Menggunakan R: Teori dan Aplikasinya pada Berbagai Bidang. Malang: UB Press.
Frankel, J. R. (1993). How to Design and Evaluate Research in Education. New York: McGraw Hill Inc.
Lubalu A. Y., E. C. (2022). Pengaruh Jalur Seleksi Masuk Universitas Terhadap IPK Tahun Pertama Mahasiswa Angkatan Tahun 2020 Program Studi Pneidikan Matematika FKIP Universitas Nusa Cendana. Haumeni Hournal of Education, 20-26.
Negara, I. C. (2018). Penggunaan Uji Chi–Square Untuk Mengetahui Pengaruh Tingkat Pendidikan Dan Umur Terhadap Pengetahuan Penasun Mengenai HIV-AIDS Di Provinsi DKI Jakarta. Seminar Nasional Matematika dan Terapannya 2018. Purwokerto: p-ISSN: 2550-0384.
Nugraha, J. (2002). Pengantar Analisis Data Kategorik: Metode dan Aplikasi Menggunakan Program R. Yogyakarta: Deepublish.
Nurmadhani, N., Faisol,. (2022). Penerapan Model Pertumbuhan Logistik Dalam Memproyeksikan Jumlah Penduduk Di Kabupaten Sumenep. Jurnal Edukasi dan Sains Matematika (JES-MAT), 8(2), 181–192. https://doi.org/10.25134/jes-mat.v8i2.5436
Pratami, R. R. (2015). Pengaruh Jalur Seleksi Masuk, Lingkungan Keluarga dan Motivasi Belajar. Skripsi.

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Published

2023-05-31

How to Cite

Kamila, Y., Sa’idah, A., Akbar, A. S., Azzen, F. A. N., Rohim, A. Y. B., & Chamidah, N. (2023). Analisis Hubungan Antara Jalur Masuk Universitas dengan Predikat Kelulusan Mahasiswa. Zeta - Math Journal, 8(1), 23–29. https://doi.org/10.31102/zeta.2023.8.1.23-29

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