Analysis of Factor in User Intention to Use the Covid-19 Tracking Application
DOI:
https://doi.org/10.30595/juita.v10i2.14360Keywords:
Intention to use, PeduliLindung, Covid-19Abstract
Science and technology can be collaborated to create an application that can help to track the contacts of COVID-19 patients. Smartphone-based contact tracing applications have been adopted by more than 50 countries. One of which is in Indonesia. In March 2020, Indonesia launched a mobile application to track the contact of COVID-19 patients namely PeduliLindungi. During its usage, users find some issues about PeduliLindungi, such as potential data leaks, data misuse, and data inaccuracies. This research is aimed to develop a conceptual model to analyze factors that affect user intentions in using the PeduliLindungi application. The proposed conceptual model is the integration of EUCS, DeLone and McLean that is equipped by the system security variables. There were 288 respondents. The data is processed using SmartPLS 3.0. According to the results of the analysis, the proposed conceptual model has 83.1 percent for its accuracy. User satisfaction and system security give a positive and significant impact on user intentions. The variables of content, accuracy, format, ease of use, and timeliness give a positive and significant impact on user satisfaction. On the other hand, the system security has no positive and significant impact on user satisfaction. Meanwhile, user satisfaction and system security itself affects the user's intentions in using the PeduliLindungi application.
References
[1] P. Zhou et al. , “A pneumonia outbreak associated with a new coronavirus of probable bat origin,” Nature , vol. 579, no. 7798, pp. 270–273, 2020, doi:10.1038/s41586-020-2012-7.
[2] M. Palacios Cruz, E. Santos, MA Velázquez Cervantes, and M. León Juárez, “COVID-19, a worldwide public health emergency,” Rev. Clínica Española (English Ed. , vol. 221, no. 1, pp. 55–61, 2021, doi: 10.1016/j.rceng.2020.03.001.
[3] A. Spinelli and G. Pellino, “COVID-19 pandemic: perspectives on an unfolding crisis,” J. Br. Heaven. , vol. 107, no. 7, pp. 785–787, 2020, doi:10.1002/bjs.11627.
[4] “Covid-19 Hotline,” 2021. [Online]. Available: https://covid19.go.id/. [Accessed: 04-Nov-2021].
[5] E. Suprayitno, S. Rahmawati, A. Ragayasa, and MY Pratama, “Community Knowledge and Attitudes in Preventing COVID-19,” J. Heal. science. (Journal of Health Sciences) , vol. 5, no. 2, pp. 68–73, 2020, doi:10.24929/jik.v5i2.1123.
[6] MB Karo, “Clean and Healthy Living Behavior (PHBS) Strategy to Prevent the Spread of the Covid-19 Virus,” in Proceedings of the National Hardiknas National Seminar , 2020, pp. 1–4.
[7] I. Wahidah, R. Athallah, NFS Hartono, MCA Rafqie, and MA Septiadi, “The COVID-19 Pandemic: Analysis of Government and Community Planning in Various Prevention Efforts,” J. Manaj. and Organs. , vol. 11, no. 3, pp. 179–188, 2020, doi:10.29244/jmo.v11i3.31695.
[8] S. Marcel et al. , “COVID-19 epidemic in Switzerland: On the importance of testing, contact tracing and isolation,” Swiss Med. Wkly. , vol. 150, no. 11–12, pp. 4–6, 2020, doi:10.4414/smw.2020.20225.
[9] A. Kumar, PK Gupta, and A. Srivastava, “A review of modern technologies for tackling the COVID-19 pandemic,” Diabetes Metab. Syndr. Clin. res. Rev. , vol. 14, no. 4, pp. 569–573, 2020, doi: 10.1016/j.dsx.2020.05.008.
[10] W. He, Z. (Justin) Zhang, and W. Li, “Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic,” Int. J. Inf. Manage. , vol. 57, 2021, doi: 10.1016/j.ijinfomgt.2020.102287.
[11] S. Whitelaw, MA Mamas, E. Topol, and HGC Van Spall, “Applications of digital technology in COVID-19 pandemic planning and response,” Lancet Digit. heal. , vol. 2, no. 8, pp. 1–6, 2020, doi:10.1016/S2589-7500(20)30142-4.
[12] IG Cohen, LO Gostin, and DJ Weitzner, “Digital Smartphone Tracking for COVID-19: Public Health and Civil Liberties in Tension,” JAMA - J. Am. Med. Assoc. , vol. 323, no. 23, pp. 2371–2372, 2020, doi: 10.1001/jama.2020.8570.
[13] PC Ng, P. Spachos, S. Gregori, and KN Plataniotis, “Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19,” IEEE Commun. Mag. , vol. 59, no. 9, pp. 24–29, 2021, doi:10.109/MCOM.001.2100002.
[14] Kurniawati, M. Khadapi, D. Riana, A. Arfian, E. Rahmawati, and Heriyanto, "Public Acceptance of Pedulilindungi Application in the Acceleration of Corona Virus (Covid-19) Handling," J. Phys. conf. Ser. , vol. 1641, no. 1, 2020, doi:10.1088/1742-6596/1641/1/012026.
[15] D. Herdiana, “CARE APPLICATION: PROTECTION OF COMMUNITY IN ACCESSING PUBLIC FACILITIES DURING THE IMPLEMENTATION OF THE PPKM POLICY,” Lab. researcher. and Pemb. Trop Pharmacy. Fac. Farms. Univ. Mualawarman, Samarinda, East Kalimantan , vol. 2, no. April, pp. 5–24, 2016.
[16] D. Olivia, SD Rosadi, and RR Permata, “PROTECTION OF PERSONAL DATA IN ADMINISTRATION OF HEALTH CARE AND COVIDSAFE SURVEILLANCE APPLICATIONS IN INDONESIA AND AUSTRALIA,” DATIN Law J. , vol. 4, no. 1, pp. 1–9, 2020.
[17] WH Delone and ER Mclean, “The DeLone and McLean Model of Information Systems Success,” J. Manag. inf. syst. , vol. 19, no. 4, pp. 9–30, 2003, doi:10.1080/07421222.2003.11045748.
[18] T. Koivumaki, A. Ristola, and M. Kesti, “The effects of information quality of mobile information services on user satisfaction and service acceptance-empirical evidence from Finland,” Behav. inf. Technol. , vol. 27, no. 5, pp. 375–385, 2008, doi:10.1080/01449290601177003.
[19] JB Kim and S. Kang, “A study on the factors affecting the intention to use smartphone banking: The differences between the transactions of account check and account transfer,” Int. J. Multimed. Ubiquitous Eng. , vol. 7, no. 3, pp. 87–96, 2012.
[20] A. Alawneh, H. Al-Refai, and K. Batiha, “Measuring user satisfaction from e-Government services: Lessons from Jordan,” Gov. inf. Q. , vol. 30, no. 3, pp. 277–288, 2013, doi:10.1016/j.giq.2013.03.001.
[21] WJ Doll and G. Torkzadeh, “The Measurement of End-User Computing Satisfaction,” MIS Q. , vol. 12, no. 2, p. 259, 1988, doi:10.2307/248851.
[22] Y. Nurdiansyah, E. Putri, A. Wulandari, D. Ayu, and R. Wulandari, "Factor Analysis of SKCK Online Website Service User Satisfaction Using End User Computing Satisfaction (EUCS) Method (Case Study: Banyuwangi)," Informatics J. , vol. 5, no. 2, pp. 72–76, 2020.
[23] NA Hidayah, E. Rustamaji, and Purusotama, “Determining User Satisfaction Factors on University Tuition Fee Systems Using End-User Computing Satisfaction (EUCS),” in 2018 6th International Conference on Cyber and IT Service Management, CITSM 2018 , 2019 , no. Citsm, pp. 1–5, doi:10.1109/CITSM.2018.8674378.
[24] E. Prastyo, CW Budiyanto, and RA Yuana, “Measuring mobile applications user's satisfaction: A closer look into the appropriate information systems user's satisfaction,” IOP Conf. Ser. mater. science. eng. , vol. 1098, no. 4, p. 042002, 2021, doi:10.1088/1757-899x/1098/4/042002.
[25] SJ Putra, R. Rosalina, A. Subiyakto, and MN Gunawan, “Extending the End-user Computing Satisfaction with Security Measures,” in 2018 6th International Conference on Cyber and IT Service Management, CITSM 2018 , 2019, pp. 1–5, doi:10.109/CITSM.2018.8674333.
[26] L.-F. Sugianto and DR Tojib, “Modelling User Satisfaction with an Employee Portal,” Int. J. Bus. inf. , vol. 1, no. 2, pp. 113–139, 2006, doi: 10.6702/ijbi.2006.1.2.4.
[27] A. Fitriani, G. Wang, and A. Susanto, “Examining the Security Issues of Automated Teller Machine Based on Revised Technical Acceptance Model,” TELKOMNIKA , vol. 14, no. 4, pp. 1521–1526, 2016, doi:10.12928/TELKOMNIKA.v14i4.2920.
[28] GF Loewenstein, EU Weber, N. Welch, and CK Hsee, “Risk as Feelings,” Psychol. Bulls. , vol. 127, no. 2, pp. 267–286, 2001, doi:10.1037//0033-2909.127.2.267.
[29] S. Robo, DB Setyohadi, and AJ Santoso, “An Identification of Success of Academic System Application Using Delone and McLean Design,” in International Conference on Information and Communications Technology (ICOIACT) , 2018, pp. 827–832.
[30] A. Tahar, HA Riyadh, H. Sofyani, and WE Purnomo, “Perceived Ease of Use, Perceived Usefulness, Perceived Security and Intention to Use e-filing: The Role of Technology Readiness,” J. Asian Financ. econ. Buses. , vol. 7, no. 9, pp. 537–547, 2020, doi:10.13106/JAFEB.2020.VOL7.NO9.537.
[31] S. Singh and R. . Srivastava, “Article information : Predicting the Intention to Use Mobile Banking in India Introduction,” Int. J. Bank Mark. , vol. 36, no. 2, pp. 357–378, 2018.
[32] Rizkiawan, “The Influence of Consumer Confidence and Purchase Experience on Consumer Purchase Intentions Online Among the Sangatta Community (Case Study on Shopee E-Commerce),” J. Eksis , vol. 16, no. 1, pp. 66–75, 2020.
[33] NK Malhotra, Marketing Research An Applied Orientation . United States of America: Prestige Hall, 2006.
[34] WJ Doll and G. Torkzadeh, “The Measurement of End-User Computing Satisfaction End-User Satisfaction The Measurement of End-User Computing Satisfaction Professor of MIS and Strategic Management The University of Toledo Gholamreza Torkzadeh Assistant Professor of Information Systems,” Source MIS Q. , vol. 1213512, no. 2, pp. 259–274, 1988.
[35] JF Hair, CM Ringle, and M. Sarstedt, “PLS-SEM: Indeed a silver bullet,” J. Mark. Theory Practice. , vol. 19, no. 2, pp. 139–152, 2011, doi:10.2753/MTP1069-6679190202.
[36] A. Juliandi, Structural Equation Model Partial Least Square (SEM-PLS) with SmartPLS . Batam: University of Batam, 2018.
[37] JF Hair, M. Sarstedt, L. Hopkins, and VG Kuppelwieser, “Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research,” Eur. Buses. Rev. , vol. 26, no. 2, pp. 106–121, 2014, doi:10.1108/EBR-10-2013-0128.
[38] I. Ghozali and H. Latan, Partial Least Squares: Concepts, Techniques and Applications using SmartPLS 3 for Empirical Research . Semarang: Diponegoro University, 2015.
[39] S. Rahmawaty, BR Kartawinata, A. Akbar, and TI Wijaksana, “The Effect of E-service Quality and E-trust on E-customer Loyalty Through E-customer Satisfaction as an Intervening Variable (Study on Gopay Users in Bandung),” in Proceedings of the International Conference on Industrial Engineering and Operations Management , 2021, pp. 5495–5506.
[40] C. Barclay, D., Thompson, R., and Higgins, “The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use an Illustration,” Technol. Studs. , vol. 2, no. 2, pp. 285–309, 1995.
[41] A. Gumelar, MI Nasution, IF Oesman, F. Ramadini, M. Irfan, and Nurliana, “Technology mobile banking on customer satisfaction,” J. Phys. conf. Ser. , vol. 1477, no. 7, pp. 1–7, 2020, doi: 10.1088/1742-6596/1477/7/072020.
[42] I. Ghozali, Alternative Structural Equation Modeling with Partial Least Square (PLS) Edition 4 . Semarang: Publishing Agency-Undip, 2014.
[43] J. Joseph F Hair, GTM Hult, CM Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Second Edition . SAGE Publications, 2017.
Downloads
Published
How to Cite
Issue
Section
License

JUITA: Jurnal Informatika is licensed under a Creative Commons Attribution 4.0 International License.