Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Wahyu Sardjono, Desi Maya Kristin, Gustian Rama Putra, Guntur Salim, Singgih Subiyantoro

Judul : EVALUATION MODEL OF YACHTERS INFORMATION SYSTEM IMPLEMENTATION SUCCESS USING DELONE AND MCLEAN TO INCREASE ORGANIZATION PERFORMANCE

Abstrak :
Abstract.

Information systems use in government aims to serve public more effective and efficient. YachtERS information system is created to support government maritime programme, especially to simplified registration process for yacht visit from abroad. YachtERS information system performance measurement is needed to get information of success and weakness of YachtERS information system. The model from DeLone and McLean is used as a tool to analyze performance evaluation. The results of this research are showing positive relations between information quality and use, information quality and user satisfaction, system quality and use, system quality and user satisfaction, service quality and use, service quality and user satisfaction, use and user satisfaction, use and net benefit, and also user satisfaction and net benefit. Conclusion is the successful of information system more affected by user satisfaction based on the information quality, system quality and service quality.

Keywords: Organization performance, Information system success, DeLone and McLean model, YachtERS, Evaluation model

Tahun : 2022 Media Publikasi : Jurnal Internasional

Kategori : Jurnal No/Vol/Tahun : 2 / 16 / 2022

ISSN/ISBN : ISSN 1881-803X

PTN/S : Binus University, Pakuan University, University of Trisakti Jakarta, Universitas Veteran Bangun Nusantara Program Studi : ILMU KOMPUTER

Bibliography :
REFERENCES

[1] E. Ziemba and I. Oblak, The survey of information systems in public administration in Poland, Interdisciplinary Journal of Information, Knowledge, and Management, vol.9, pp.31-56, 2014.

[2] S. Y. Eroshkin, N. D. Koryagin and A. I. Sukhorukov, The paradigm of the integration of different types of management information system in investment and construction company implementing the project approach, Procedia Computer Science, vol.103, pp.605-608, 2017.

[3] S. Petter, W. DeLone and E. McLean, Measuring information systems success: Models, dimensions, measures, and interrelationships, European Journal of Information Systems, 2008.

[4] E. Bartis and N. Mitev, A multiple narrative approach to information systems failure: A successful system that failed, European Journal of Information Systems, vol.17, pp.112-124, 2008.

[5] E. W. N. Bernroider, IT governance for enterprise resource planning supported by the DeLoneMcLean model of information systems success, Information & Management, vol.45, pp.257-269, 2008.

[6] G. W. Bock, A. Suh, K. S. Shin and A. Hu, The factors affecting success of knowledge-based systems at the organizational level, Journal of Computer Information Systems, vol.50, no.2, pp.95-105, 2009.

[7] A. Jeyaraj, DeLone & McLean models of information system success: Critical meta-review and research directions, International Journal of Information Management, vol.54, DOI: 10.1016/j.ijinfo mgt.2020.102139, 2020.

[8] S. D¨orr, S. Walther and T. Eymann, Information systems success – A quantitative literature review and comparison, Wirtschaftsinformatik, pp.1813-1827, 2013.

[9] A. Y. Anna, Y. Wang and Z. Yin, The effects of visual congruence on increasing consumers’ brand engagement: An empirical investigation of influencer marketing on instagram using deep-learning algorithms for automatic image classification, Computers in Human Behavior, vol.112, DOI: 10.1016/ j.chb.2020.106443, 2020.

[10] T. Mudzana and M. Maharaj, Measuring the success of business-intelligence systems in South Africa: An empirical investigation applying the DeLone and McLean model, South African Journal of Information Management, vol.17, no.1, pp.1-7, 2015.

[11] C. M. Chiu, C. S. Chiu and H. C. Chang, Examining the integrated influence of fairness and quality on learners’ satisfaction and Web-based learning continuance intention, Information Systems Journal, vol.17, no.3, pp.271-287, 2007.

[12] Y. S. Wang and Y. W. Liao, Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success, Government Information Quarterly, vol.25, no.4, pp.717-733, 2008.

[13] T. S. H. Srivastava and L. Jiang, Trust and electronic government success: An empirical study, Journal of Management Information Systems, vol.25, no.3, pp.99-132, 2008.

[14] J. Floropoulos, C. Spathis, D. Halvatzis and M. Tsipouridou, Measuring the success of the Greek taxation information system, International Journal of Information Management, vol.30, no.1, pp.47- 56, 2010.

[15] M. Pandey and P. Mishra, Research Methodology: Tools and Techniques, Bridge Center, Romania, 2015.

[16] Z. Khan and M. Ali, Validating IS Success Model: Evaluation of Swedish e-Tax System, Master Thesis, Department of Informatics, Lund University, 2010.

[17] A. B. Hesham, A. B. Hoda and H. El-Islam, Assessing call centers success: A validation of the DeLone and McLean model for information system, Egyptian Informatics Journal, vol.14, no.2, pp.99-108, 2013.

[18] W. Sardjono and F. Firdaus, Readiness model of knowledge management systems implementation at the higher education, ICIC Express Letters, vol.14, no.5, pp.477-487, 2020.

[19] W. Sardjono, E. Selviyanti and W. G. Perdana, The application of the factor analysis method to determine the performance of IT implementation in companies based on the IT balanced scorecard measurement method, Journal of Physics: Conference Series, DOI: 10.1088/1742-6596/1538/1/012026, 2019.

[20] W. Sardjono and Devyana, Performance analysis of human resource information system using a factor analysis method, ICIC Express Letters, vol.15, no.1, pp.87-97, 2021.

[21] W. Sardjono, B. S. Laksmono and E. Yuniastuti, The social welfare factors of public transportation drivers with online application as a result of the 4.0 industrial revolution in transportation, ICIC Express Letters, vol.14, no.4, pp.361-368, 2020.

[22] G. G. Gable, D. Sedera and T. Chan, Re-conceptualizing information systems success: The IS impact measurement model, Journal of the Association for Information Systems, vol.9, no.7, pp.377-408, 2008.

[23] N. Gorla, T. M. Somers and B. Wong, Organizational impact of system quality, information quality, and service quality, Journal of Strategic Information Systems, vol.19, no.3, pp.207-228, 2010.

[24] W. Sardjono, E. Selviyanti, W. G. Perdana and Maryani, Modeling of development of performance evaluation on health information systems implementation, Journal of Physics: Conference Series, DOI: 10.1088/1742-6596/1465/1/012025, 2020.

[25] L. A. Halawi, R. V. McCarthy and J. E. Aronson, An empirical investigation of knowledge management systems success, Journal of Computer Information Systems, vol.48, no.2, pp.121-135, 2007.

[26] A. Manchanda and S. Mukherjee, An empirical application of DeLone and McLean model in evaluating decision support system in the banking sector of Oman, Journal of International Technology and Information Management, vol.23, no.2, pp.47-58, 2014.

URL : http://www.icicel.org/ell/contents/2022/2/el-16-02-12.pdf

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Detail Karya Ilmiah Dosen

Wahyu Sardjono, Desi Maya Kristin, Gustian Rama Putra, Guntur Salim, Singgih Subiyantoro

Judul	:	EVALUATION MODEL OF YACHTERS INFORMATION SYSTEM IMPLEMENTATION SUCCESS USING DELONE AND MCLEAN TO INCREASE ORGANIZATION PERFORMANCE
Abstrak	:	Abstract. Information systems use in government aims to serve public more effective and efficient. YachtERS information system is created to support government maritime programme, especially to simplified registration process for yacht visit from abroad. YachtERS information system performance measurement is needed to get information of success and weakness of YachtERS information system. The model from DeLone and McLean is used as a tool to analyze performance evaluation. The results of this research are showing positive relations between information quality and use, information quality and user satisfaction, system quality and use, system quality and user satisfaction, service quality and use, service quality and user satisfaction, use and user satisfaction, use and net benefit, and also user satisfaction and net benefit. Conclusion is the successful of information system more affected by user satisfaction based on the information quality, system quality and service quality. Keywords: Organization performance, Information system success, DeLone and McLean model, YachtERS, Evaluation model
Tahun	:	2022	Media Publikasi	:	Jurnal Internasional
Kategori	:	Jurnal	No/Vol/Tahun	:	2 / 16 / 2022
ISSN/ISBN	:	ISSN 1881-803X
PTN/S	:	Binus University, Pakuan University, University of Trisakti Jakarta, Universitas Veteran Bangun Nusantara	Program Studi	:	ILMU KOMPUTER
Bibliography	:	REFERENCES [1] E. Ziemba and I. Oblak, The survey of information systems in public administration in Poland, Interdisciplinary Journal of Information, Knowledge, and Management, vol.9, pp.31-56, 2014. [2] S. Y. Eroshkin, N. D. Koryagin and A. I. Sukhorukov, The paradigm of the integration of different types of management information system in investment and construction company implementing the project approach, Procedia Computer Science, vol.103, pp.605-608, 2017. [3] S. Petter, W. DeLone and E. McLean, Measuring information systems success: Models, dimensions, measures, and interrelationships, European Journal of Information Systems, 2008. [4] E. Bartis and N. Mitev, A multiple narrative approach to information systems failure: A successful system that failed, European Journal of Information Systems, vol.17, pp.112-124, 2008. [5] E. W. N. Bernroider, IT governance for enterprise resource planning supported by the DeLoneMcLean model of information systems success, Information & Management, vol.45, pp.257-269, 2008. [6] G. W. Bock, A. Suh, K. S. Shin and A. Hu, The factors affecting success of knowledge-based systems at the organizational level, Journal of Computer Information Systems, vol.50, no.2, pp.95-105, 2009. [7] A. Jeyaraj, DeLone & McLean models of information system success: Critical meta-review and research directions, International Journal of Information Management, vol.54, DOI: 10.1016/j.ijinfo mgt.2020.102139, 2020. [8] S. D¨orr, S. Walther and T. Eymann, Information systems success – A quantitative literature review and comparison, Wirtschaftsinformatik, pp.1813-1827, 2013. [9] A. Y. Anna, Y. Wang and Z. Yin, The effects of visual congruence on increasing consumers’ brand engagement: An empirical investigation of influencer marketing on instagram using deep-learning algorithms for automatic image classification, Computers in Human Behavior, vol.112, DOI: 10.1016/ j.chb.2020.106443, 2020. [10] T. Mudzana and M. Maharaj, Measuring the success of business-intelligence systems in South Africa: An empirical investigation applying the DeLone and McLean model, South African Journal of Information Management, vol.17, no.1, pp.1-7, 2015. [11] C. M. Chiu, C. S. Chiu and H. C. Chang, Examining the integrated influence of fairness and quality on learners’ satisfaction and Web-based learning continuance intention, Information Systems Journal, vol.17, no.3, pp.271-287, 2007. [12] Y. S. Wang and Y. W. Liao, Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success, Government Information Quarterly, vol.25, no.4, pp.717-733, 2008. [13] T. S. H. Srivastava and L. Jiang, Trust and electronic government success: An empirical study, Journal of Management Information Systems, vol.25, no.3, pp.99-132, 2008. [14] J. Floropoulos, C. Spathis, D. Halvatzis and M. Tsipouridou, Measuring the success of the Greek taxation information system, International Journal of Information Management, vol.30, no.1, pp.47- 56, 2010. [15] M. Pandey and P. Mishra, Research Methodology: Tools and Techniques, Bridge Center, Romania, 2015. [16] Z. Khan and M. Ali, Validating IS Success Model: Evaluation of Swedish e-Tax System, Master Thesis, Department of Informatics, Lund University, 2010. [17] A. B. Hesham, A. B. Hoda and H. El-Islam, Assessing call centers success: A validation of the DeLone and McLean model for information system, Egyptian Informatics Journal, vol.14, no.2, pp.99-108, 2013. [18] W. Sardjono and F. Firdaus, Readiness model of knowledge management systems implementation at the higher education, ICIC Express Letters, vol.14, no.5, pp.477-487, 2020. [19] W. Sardjono, E. Selviyanti and W. G. Perdana, The application of the factor analysis method to determine the performance of IT implementation in companies based on the IT balanced scorecard measurement method, Journal of Physics: Conference Series, DOI: 10.1088/1742-6596/1538/1/012026, 2019. [20] W. Sardjono and Devyana, Performance analysis of human resource information system using a factor analysis method, ICIC Express Letters, vol.15, no.1, pp.87-97, 2021. [21] W. Sardjono, B. S. Laksmono and E. Yuniastuti, The social welfare factors of public transportation drivers with online application as a result of the 4.0 industrial revolution in transportation, ICIC Express Letters, vol.14, no.4, pp.361-368, 2020. [22] G. G. Gable, D. Sedera and T. Chan, Re-conceptualizing information systems success: The IS impact measurement model, Journal of the Association for Information Systems, vol.9, no.7, pp.377-408, 2008. [23] N. Gorla, T. M. Somers and B. Wong, Organizational impact of system quality, information quality, and service quality, Journal of Strategic Information Systems, vol.19, no.3, pp.207-228, 2010. [24] W. Sardjono, E. Selviyanti, W. G. Perdana and Maryani, Modeling of development of performance evaluation on health information systems implementation, Journal of Physics: Conference Series, DOI: 10.1088/1742-6596/1465/1/012025, 2020. [25] L. A. Halawi, R. V. McCarthy and J. E. Aronson, An empirical investigation of knowledge management systems success, Journal of Computer Information Systems, vol.48, no.2, pp.121-135, 2007. [26] A. Manchanda and S. Mukherjee, An empirical application of DeLone and McLean model in evaluating decision support system in the banking sector of Oman, Journal of International Technology and Information Management, vol.23, no.2, pp.47-58, 2014.
URL	:	http://www.icicel.org/ell/contents/2022/2/el-16-02-12.pdf