Path Students During the COVID-19 Pandemic Analysis of Factors Influencing the GPA of UNIMED FMIPA Mathematics

Authors

  • Rosalia Rusline Simanjuntak Universitas Negeri Medan
  • Hamidah Nasution Universitas Negeri Medan

DOI:

https://doi.org/10.55927/fjas.v2i1.2849

Keywords:

Path Analysis, IPS, Achievement

Abstract

At the lecture level, learning achievement is measured by IPS (Semester Achievement Inkdes). The influencing factors are the long duration of online learning, attendance, network and study time. In this study, path analysis was used which is a particular form of regression analysis in which the independent variables studied not only directly affect the dependent variable but also indirectly. Based on the results of the discussion, the equation model Y=-0.548X_1+0.042X_2-5.66X_3+11.4 is thus the influence of exogenous variables (X), namely the duration of online learning, presence and networking on the endogenous variable (Y), namely the amount of study time per week of 88.58% and 11.42% influenced by other variables outside the path model. Z=-0.005X_1+0.317X_3+0.93Y+44.3. Thus the influence of the exogenous variable (X), which is many (????), namely IPS, is 11.4% and 44.3% is influenced by other variables outside the path model. And the factor that most influences the IPS score is the network because it has the greatest total influence among the other variables, namely 1.742.

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References

Andiningrum, Y. (2015) Analisis Jalur Model Trimming untuk Mengetahui Faktor Faktor yang Memperngaruhi Motivasi Belajar Terhadap Prestasi Akademik Mahasiswa, Universitas Negeri Malang

Anrianto Pangondian, R., Insap Santosa, P., dan Nugroho, N, (2019). Faktor – Faktor yang Mempengaruhi Kesuksesan Pembelajran Daring Dalam Revolusi Industri

Asmuni, A. (2020). Problematika Pembelajaran Daring di Masa Pandemi Covid-19 dan Solusi Pemecahannya. Jurnal Paedagogy, Vol.43

Engkos. (2012) Cara Mudah Menggunakan dan Memakai Path Analysis (Analisis Jalur), Alfabeta

Hakam, M. (2015) Analisis Jalur Terhadap Faktor-faktor yang Memprngaruhi Indeks Prestasi Komulatif (IPK) Mahasiswa Statistika UNDIP. Jurnal Gausian, Vol. 4(No. 1): Hal 61-70

Kerlinger,F. N and Pedhazur, E.J. (1973) Mutliple Regresion in Behavioral Research. Newyork University

Land, K. C. (1969) Principles of Path Analysis. Sociological Methodology. Hal: 3-37

Rezzy Eko Cakara. (2017) Path Analisis Terhadap Faktor-faktor yang Mempengaruhi Prestasi Siswa. Jurnal Akuntabilitas Management Pendidikan, Vol. 5(No. 2): Hal: 212 – 219

Sarwono, J. (2012) Path Analysis dengan SPSS. Teori, Aplikasi, Prosedur Analisis untuk Riset Skripsi, Tesis dan Disertasi. Alex Media Komputido

Slameto. (2003) Belajar dan Faktor – Faktor yang Mempengaruhinya, PT Rineka Cipta

Yulianto E, Cahyani PD, Silvianita S. (2020) Perbandingan Kehadiran Sosial dalam Pembelajaran Daring Menggunakan WhatsApp group dan Webinar Zoom Berdasarkan Sudut Pandang Pembelajar Pada Masa Pandemik COVID-19

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Published

2023-01-31

How to Cite

Rosalia Rusline Simanjuntak, & Hamidah Nasution. (2023). Path Students During the COVID-19 Pandemic Analysis of Factors Influencing the GPA of UNIMED FMIPA Mathematics . Formosa Journal of Applied Sciences, 2(1), 169–184. https://doi.org/10.55927/fjas.v2i1.2849