FAKTOR-FAKTOR YANG MEMPENGARUHI PENERIMAAN UBAYA LEARNING SPACE BERDASARKAN TECHNOLOGY ACCEPTANCE MODEL

  • Richard Changay Jurusan Manajemen Jejaring Bisnis Fakultas Bisnis dan Ekonomika Universitas Surabaya
  • Stefanus Budy Widjaja Jurusan Manajemen Jejaring Bisnis Fakultas Bisnis dan Ekonomika Universitas Surabaya
  • Prita Ayu Kusumawardhany Jurusan Manajemen Jejaring Bisnis Fakultas Bisnis dan Ekonomika Universitas Surabaya
Abstract Views: 170 times
PDF - FULL TEXT Downloads: 261 times
Keywords: Universitas Surabaya, technology acceptance model, WebCT, Virtual learning platforms

Abstract

Penelitian ini bertujuan mengetahui faktor-faktor yang mempengaruhi penerimaan Ubaya Learning Space berdasarkan Technology Acceptance Model. Teori yang digunakan adalah technology acceptance model yang didesain khusus untuk meneliti penerimaan terhadap teknologi tertentu. Penelitian ini menggunakan sampel mahasiswa di Universitas Surabaya. Jumlah sampel yang digunakan adalah 176 responden. Penelitian ini menggunakan enam variabel dalam konteks e-learning: technical support (TS), perceived usefulness (PU), computer self-efficacy (CSE), perceived ease of use (PEOU), attitude (A), dan system usage (SU). Data dalam penelitian dianalisis dengan menggunakan SPSS versi 23 dan Lisrel versi 8.70.  Hasil dari penelitian ini adalah penerimaan dan penggunaan ULS secara langsung dipengaruhi oleh perceived usefulness dan secara tidak langsung dipengaruhi oleh perceived ease of use.  Pengaruh tidak langsung terbesar juga diberikan oleh faktor technical support, sehingga dukungan teknis memiliki dampak terhadap penggunaan ULS.

Downloads

Download data is not yet available.

References

Asosiasi Penyelenggara Jasa Internet Indonesia dan Pusat Kajian Komunikasi Universitas Indonesia, Profil Pengguna Internet Indonesia, 2014.

Davis, F.D., 1989, “Perceived usefulness, perceived ease of use and user acceptance of information technology”, MIS Quartely, Vol. 13, No. 3: 319-40.

Fornell, C. dan D. F. Larcker, 1981, “Evaluating structural equation models with unobservable variables and measurement error,” Journal of marketing research, Vol. 1:39-50 dalam Huang, Chun-Che, Yu-Min Wang, Tsin-Wei Wu, dan Pei-An Wang, 2013, An Empirical Analysis of the Antecedents and Performance Consequences of Using the Moodle Platform, International Journal of Information and Education Technology, Vol. 3, No. 2: 217-221.

Igbaria, M. dan J. Iivari, 1995, The Effects of Self-efficacy on Computer Usage, International Journal of Management Science, Vol. 23, No. 6: 587-605.

Maloney, E. J., 2007, What Web 2.0 can teach us about learning. Chronicle of Higher Education, Vol. 53, No. 18: 826-827 dalam Augustsson, Gunnar, 2010, Web 2.0, pedagogical support for reflexive and emotional social interaction among Swedish students, Internet and Higher Education Journal, Vol. 13, No. 4: 197-205.

Nelson, Jennifer, Angela Christopher, dan Clif Mims, 2009, TPACK and Web 2.0: Transformation of Teaching and Learning, TechTrends, Vol. 53, No. 5: 80-87.

Park, Sung Youl, 2009, An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Educational Technology & Society, Vol. 12, No. 3: 150–162.

Roca, Juan Carlos, Chao-Min Chiu, dan Francisco Jose Martinez, 2006, Understanding e-learning continuance intention: An extension of the Technology Acceptance Model, Internation Journal of Human-Computer Studies, Vol. 64: 683-696.

Sanchez, R. Arteaga, A. Duarte Hueros, M. García Ordaz, 2013, "E-learning and the University of Huelva: a study of WebCT and the technological acceptance model", Campus-Wide Information Systems, Vol. 30, No. 2: 135-160.

Stevens, J., 2002, Applied Multivariate Statistics for The Social Sciences, 4th Edition, Mahwah, NJ: Erlbaum dalam Field, Andy, 2009, Discovering Statistics Using SPSS, 3rd Edition, California: SAGE Publications.

Tarhini, Ali, Kate Hone, dan Xiohui Lin, 2013, Factors Affecting Students’ Acceptance of e-Learning Environments in Developing Countries: A Structural Equation Modeling Approach, International Journal of Information and Education Technology, Vol. 3, No. 1: 54-59.

Thompson, Ronald L., Christopher A. Higgins, dan Jane M. Howell, 1991, Personal Computing: Toward a Conceptual Model of Utilization, MIS Quarterly, Vol. 15, No. 1: 125-143.
Published
2017-09-01
Issue
Vol. 6 No. 2 (2018): Calyptra : Jurnal Ilmiah Mahasiswa Universitas Surabaya (Maret)
Section
Bidang Manajemen (M)

Creative Commons License

  • Articles published in CALYPTRA are licensed under a Creative Commons Attribution-ShareAlike 4.0 International license. You are free to copy, transform, or redistribute articles for any lawful purpose in any medium, provided you give appropriate credit to the original author(s) and the journal, link to the license, indicate if changes were made, and redistribute any derivative work under the same license.
  • Copyright on articles is retained by the respective author(s), without restrictions. A non-exclusive license is granted to CALYPTRA to publish the article and identify itself as its original publisher, along with the commercial right to include the article in a hardcopy issue for sale to libraries and individuals.
  • By publishing in CALYPTRA, authors grant any third party the right to use their article to the extent provided by the Creative Commons Attribution-ShareAlike 4.0 International license.