Structural Equation Modelling (SEM) Method In The Analysis of Affecting Factors Student Achievement With The System Learning Online

Mhd Fariyanda

Abstract


Online college learning systems must be performed effectively in order for students to achieve. There are some factors that influence a student's feat of learning whether it is a factor within a student or factor outside of a student. The study was done with a view to discovering any construction that affected the performance of student learning. The method used was the Structural equation Modelling (SEM). Research materials are the results of the 2017, 2018 and 2019 advanced student studies of students from the university of Sumatra, using a simple random sampling technique. Data analysis obtained parameters: coefficient lecturer.044, coefficient 063 student and coefficient campus 0.190.


Keywords


Online study system,Achievement, student campus,Structural Equation Modelling

Full Text:

PDF

References


Alessandro, B. (2018). Digital Skills and Competence, and Digital and Online Learning. Turin: European Training Foundation.

Almeida, F., & Simoes, J. (2019). The Role of Serious Games, Gamification and Industry 4.0 Tools in the Education 4.0 Paradigm. Contemporary Educational Technology, 10(2), 120136.

Br Ginting D. 2009. Structural Equation Model.8: 1-14.

Ghodang H. 2018 Structural Equation Modeling (SEM) in analysis factor affecting teachers attitude to quality improvement management in medan city. International journal of Education and Research,6(4): 203-214.

Ghozali, I. 2004. Model Persamaan Struktural: Konsep dan Aplikasi dengan Program Amos 19.0. Semarang: Badan Penerbit Universitas Diponegoro.

Hox, J.J & Bechger, T.M. 1998. An Introduction to Structural Equation Modeling Family Science Review,11: 354-373.

Kerlinger. 2004. Variabel independen dan variabel dependen.58-59

Khoirunisa A. 2020. Pembelajaran jarak jauh, 1-6.

Latumeten R, A Yopi, Y Francis. 2018. Pengunaan Structural Equation Modeling (SEM) untuk menganalisis faktor yang mempengaruhi loyalitas nasabah, 15 (2):76-83.

Mather, M., & Sarkans, A. (2018). Student Perceptions of Online and Face-to-Face Learning.

International Journal of Curriculum and Instruction, 10(2), 6176.

Mustofa, M. I., Chodzirin, M., Sayekti, L., & Fauzan, R. (2019). Formulasi Model Perkuliahan Daring sebagai Upaya Menekan Disparitas Kualitas Perguruan Tinggi. Walisongo Journal of Information Technology, 1(2), 151.

Mulder J, Hamaker E. 2020 Three Extensions of the Random Intercept Cross-Langged Panel Model, 28(4): 638:648.

Pilkington, O. A. (2018). Active Learning for an Online Composition Classroom : Blogging as an Enhancement of Online Curriculum. Journal of Educational Technology Systems, 47(2), 114.

Riaz, A. (2018). Effects of Online Education on Encoding and Decoding Process of Students and Teachers. International Conference E-Learning, 4248.

Riyani R, 2012. Faktor yang mempengaruhi prestasi belajar mahasiswa. (8):19-25.

Tirta I Made, Holipah, Angraeni Dian. 2019. Analisis Structural Equation Model (SEM) dengan multiplr group mengunakan R. 85-94.

Vegelius j, Shaobo J. 2021 A semiparametric Appoach for Strustural Equation Modeling with ordinal Data, 28(4): 409-505.




DOI: https://doi.org/10.30596/jmea.v2i1.12472

Refbacks

  • There are currently no refbacks.


 

 

Journal of Mathematics Education and Application: JMEA

University Muhammadiyah of Sumatera Utara

Magister Pendidikan Matematika Program Pascasarjana Universitas Muhammadiyah Sumatera Utara, Jl. Denai No 217, Indonesia

email: jmea@umsu.ac.id