Analisa Faktor-Faktor Yang Mendorong Penggunaan Sistem Informasi Kepegawaian (SIPEG) : Studi Kasus Politeknik Negeri Padang

Ade Irma Suryani, Achmad Nizar Hidayanto


Padang State Polytechnic is one of the best vocational Polytechnic in Sumatera. As the best college, Padang State Polytechnic has implemented several information systems; such as the Information System in the Human Resource Civil Service Department. However, the system still was not optimally utilized within the institution as a tool to support data processing and strategic tool to gain strategic advantages and to support the growth of the organization to a better level.

This research was conducted to analyze the factors that encourage the usage of information system in the Human Resource Civil Service Department in PNP. In order to collect data survey, author has sent questionnaires to all faculties including lecturers and administration staffs in Padang State Polytechnic as user of Information System in the Human Resource Civil Service Department. Among 160 questionnaires that were distributed, only 121 questionnaires were returned. Furthermore, the questionnaires were proceeded with the Structural Equation Modeling (SEM) method by using Amos Software v.21. In conclusion, the factors that encourage the usage of Information System in the Human Resource Civil Service Department in PNP are Information Quality, Service Quality and System Quality.


Structural Equation Model, Information Quality, Service Quality and System Quality

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Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance on information technology. MIS Quarterly 13(3) , 319-340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003.

DeLone, W. H., dan McLean, E.R. 1992. Information Systems Success: The Quest for the Dependent Variable, Information System Research, Vol.3, No.1, h. 60-95

DeLone, W. H., dan McLean, E.R, “The DeLone and McLean Model of Information Systems Success: A Ten-Year Update”, Jurnal of Management Information Systems 19(4)(2003) 9-30

E. M. Rogers, Diffusion of Innovations, 4th ed. New York: The Free Press, 1995.

F.D.Davis, R.P. Bagozzi, P.R. Warshaw. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl.Soc.Psychol , 1111-1132.

Ghozali, I. (2006). Aplikasi Analisis Multivariate dengan Program SPSS. Semarang: Badan Penerbit Universitas Diponegoro.

Ghozali, I. (2008). Model Persamaan Struktural Konsep dan Aplikasi Dengan Program AMOS 16.0. Semarang: Badan Penerbit Universitas Diponegoro.

Hardgrave, B. C., Davis, F. D., & Riemenschneider, C. K. (2003). Investigating determinants of software developers’ intentions to follow methodologies. Journal of Management Information Systems, 20(1), 123–151.

N. Golafshani, “Understanding Reliability and Validity in Qualitative Research” The Qualitative Report, vol. 8, no. 4, 2003, pp.597-607

Pai, Fan-Yun, Kai-I Huang. (2010). Applying the Technology Acceptance Model to the introduction of healthcare information systems. Technological Forecasting & Social Change , 650-660.

Parasuraman, A. (2000). Technology readiness index (TRI): a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.

Parasuraman, A., & Colby, C. (1998). A scale for measuring customers’ technology readiness: Replication, refinement and implications for service organisations. Paper presented at the 1998 Frontiers in Services Conference, Nashville, TN.

Parasuraman, A., Zeithaml V. A., Berry L. L., 1988. Servqual: A multiple-item scale for measuring consumer perceptions of service quality, Journal of Retailing, Vol. 64, No. 1, pp. 12-40.

Petra S.M. Wijaya. (2005). Pengujian Model Penerimaan Teknologi Internet Pada Mahasiswa. Jurnal Riset Akuntansi dan Keuangan, Vol.1, No.1. Februari.

R. Agarwal and E. Karahanna, "On The Multi-Dimensional Nature of Compatibility Beliefs in Technology Acceptance," presented at DIGIT - Diffusion Interest Group in Information Technology, Hensinki - Finland, 1998.

Rawstorne. P, R Jayasuriya, P Caputi. 1998. “An Integrative Model of Information System Use in Mandatory Environments”, International Conference on Information Systems: 325-330

Rencana Strategis Politeknik Negeri Padang, 2010-2014.

Richard, M., & Carla, O. (2001). Overcoming cultural barriers to sharing knowledge. Journal of Knowledge Management, 5(1), 76–85.

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.

Santoso, S. (2012). Analisis SEM Menggunakan AMOS. Jakarta: Elex Media Komputindo.

Sarwono, Jonathan. (2008). Structural Equation Model (SEM) dalam Riset Ekonomi : Menggunakan USREL, Gava Media, Yogyakarta.

Shiu-Wan Hung, Min-Jhih Cheng. (2012). Are you ready for knowledge sharing?An empirical study of virtual communities. Computers & Education , 8-17.

Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85–92.

Taylor, S., & Todd, P. (1995). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144–176.

T. Ahn, S. Ruy, I. Han. (2004). The impact of the online and offline features on the user acceptance of the Internet shopping malls. Electron. Commer. Res. Appl.3 , 405-420.

Teng, J. T. C., Grover, V., & Guttler, W. (2002). Information technology innovations: general diffusion patterns and it’s relationships to innovation characteristics. IEEE Transactions on Engineering Management, 49(1), 13–27.

Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (2003). Intrinsic and extrinsic motivation in Internet usage. Omega–The International Journal of Management Science, 27, 25–37.

Thompson, R. (1998). Extending the technology acceptance model with motivation and social factors. In Proceedings of association for information systems annual conference (pp. 757–759). Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM). Computer & Education , 1000-1009.

Tornatzky, L. G., & Klein, R. J. (1982). Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Transactions on Engineering Management, 29, 28–45.

Tsikriktsis, N. (2004). A technology readiness-based taxonomy of customers: a replication and extension. Journal of Service Research,7(1) , 42–52.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425–478.

Widodo, P., 2006, Structural Equation Modeling, Universitas Budi Luhur Jakarta.

Wijanto (2008). SEM dengan LISREL 8.8. Jakarta: Graha Ilmu.

Wijaya. (2009). Analisis Structural Equation Modeling menggunakan Amos. Yogyakarta: Universitas Atmajaya.

X.Zhang, V.R Prybutok. (2004). An empirical study of online shopping: A service perspective. J. Inf. Manage , 1-13.

Y.W. Chiou, G.D. Fang. (2005). A study of web portal user behavior. Web J. Chin. Manage. Rev. 8 (1) , 43-60.



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