Analisis Penerimaan Pengguna BSE dengan Pendekatan Technology Acceptance Model di Kabupaten Kulon Progo
Abstract
Aspects of user acceptance become one the main factors for success of the application of information technology. Use of Electronic School Book (BSE) led to a transformation of the how getting a book and learning from the manual into an electronic system, which lead to the attitude and behavior of the user to accepting and use it for real. This study analyzes user acceptance BSE in the Regency of Kulon Progo, measured from the level of user acceptance.
Technology Acceptance Model (TAM) is used as a framework for modeling acceptance BSE. Model generated identifies three exogenous variables are: ease of use, usefulness, and behavioral intention to use and 4 endogenous variables are: subjective norm, system relevance, accessibility quality and computer self-efficacy. The model was analyzed using the Structured Equation Modeling (SEM) with AMOS 21 program.
The results showed that the TAM model to explain the factors that influence user acceptance BSE. Based on a sample of 167 respondents that are teachers as BSE users, of the total 10 hypotheses suggests that the accessibility variable quality not significantly affect the perception of usefulness and perceived ease of use of BSE. BSE Actual use is low, need to encourage the willingness to use BSE with respect to user acceptance variables.
References
http://puskurbuk.net/web/bse.html. diakses 13 Juni 2012
H. Jogiyanto, Sistem Informasi Keperilakuan. Yogyakarta: Penerbit Andi, 2007.
F. Davis, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, vol. Vol. 13, No. 3, 1989.
P. Legris, J. Ingham, dan P. Collerette, Why Do People Use Information Technology A Critical Review Of The Technology Acceptance Model, Information & Management, vol. 40, pp. 191-204, 2003.
V. Venkatesh dan F. Davis, A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, vol. 46, pp. 186-204, 2000.
S. Y. Park, An Analysis of the Technology Accpetance Model in Understanding Student’s Behavioral Intention to Use e-Learning. Educational Technology and Society, Educational Technology and Society, vol. 12, pp. 150-162, 2009.
Y. Shin, B. Shin, S. Lee, dan H. Lee, Understanding Post-Adoption Usage of Mobile Internet, in Proceedings of ASAC 2009. vol. 30 Niagara Falls, Canada, 2009.
P. J.-H. Hu, T. H. K. Clark, dan W. W. Ma, Examining Technology Acceptance By School Teachers: A Longitudinal Study, Information and Management Science Direct, vol. 41, 1 Mei 2003 2003.
Y. Hwang dan M. Y. Yi, Predicting the Use of Web Based Information System: Intrinsic Motivation and Self Efficacy, in Eighth Americas Conference on Information Systems, Texas, USA, 2002.
E. F. Farahani dan M. Kaviani, User Acceptance of Digital Library, Jonkoping University Sweden, 2011.
I. Ajzen, The Theory Of Planned Behavior. Organizational Behavior and Human Decision Processes, 1991.
W. Hong, J. Thong, dan K. Tam, Understanding user acepptance of digital libraries: What Are The Roles Of Interface Characteristics, Organization Context And Individual Differences, International Journal of Human-Computer Studies, vol. 57, pp. 215-242, 2002.
H.-P. Shih, Extended Technology Acceptance Model Of Internet Utilization Behavior, Information Management Department, vol. 41, pp. 719-729, 2002.
I. Ghozali, Model Persamaan Struktural Konsep dan Aplikasi dengan Program AMOS 19.0. Semarang: Badan Penerbit Universitas Diponegoro, 2011.
H. Jogiyanto, Sistem Teknologi Informasi. Yogyakarta: Andi Offset, 2005.
© Jurnal Nasional Teknik Elektro dan Teknologi Informasi, under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License.