Effectiveness of Covid-19 Information through Social Media based on Public Intention

Dwi Yuniarto, Hasna Nazzala Khozinaturrohmah, Aedah Binti Abd. Rahman

Abstract


Corona Virus Disease-19 pandemic has changed people's habits today. Likewise, with the use of social media in terms of conveying information to the public. The government has now formed task forces in each region to prevent the spread of the virus. Among its duties is to convey information related to the prevention and spread of Corona Virus Disease-19. Considering that information delivery is deemed ineffective, some people do not fully know information about the Corona Virus Disease-19. The purpose of this study is to determine the effectiveness of information on Corona Virus Disease-19. To understand the relationship between the public's intention to end the Covid-19 pandemic and the effectiveness of Covid-19 information through social media the statistical analysis used is Cramer's V Non-Parametric Statistics, meanwhile, to find out whether the public's intention to end the Covid-19 pandemic affects the effectiveness of Covid-19 information through social media it is done through the partial least square approach. Questionnaire distribution via WhatsApp and made in google form to facilitate the distribution and filling. The number of responses was 401 respondents. The results obtained, the relationship between the latest education and attitudes when receiving hoax information and work relations with the frontline to end Corona Virus Disease-19 is that the community is declared insignificant, while the intention variable does not have a significant effect on the effectiveness factor. Different objects and respondents will be more interesting for further research as material for other researchers. Research results can be used as material for related parties, in this case the government to determine the media used to convey information about Covid-19.


Keywords


coronavirus disease 19; social media; effectiveness; Cramer’s V

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References


Y. Li, Y. Chandra, and N. Kapucu, "Crisis coordination and the role of social media in response to COVID-19 in Wuhan, China," The American Review of Public Administration, vol. 50, no. 6-7, pp. 698-705, 2020.

B. Zhong, Y. Huang, and Q. Liu, "Mental health toll from the coronavirus: Social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak," Computers in human behavior, vol. 114, p. 106524, 2020.

A. R. Ahmad and H. R. Murad, "The impact of social media on panic during the COVID-19 pandemic in Iraqi Kurdistan: online questionnaire study," Journal of Medical Internet Research, vol. 22, no. 5, p. e19556, 2020.

T. Kaya, "The changes in the effects of social media use of Cypriots due to COVID-19 pandemic," Technology in Society, p. 101380, 2020.

K. Zarei, R. Farahbakhsh, N. Crespi, and G. Tyson, "A first Instagram dataset on COVID-19," arXiv preprint arXiv:2004.12226, 2020.

M. S. Al-Rakhami and A. M. Al-Amri, "Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter," IEEE Access, vol. 8, pp. 155961-155970, 2020.

W. H. Organization, "Coronavirus disease ( COVID-19)," 2020.

A. Subiyakto, "Development of the Readiness and Success Model for Assessing the Information System Integration," The 2nd International Conference on Science and Technology (ICOSAT), pp. 1-10, 2017.

R. Kemenkes, "Pedoman Pencegahan dan Pengendalian Coronavirus Disease (COVID-19)," Germas, 0–115, 2020.

I. A. Afandi, A. Kusyanti, and N. H. Wardani, "Analisis Hubungan Kesadaran Keamanan , Privasi Informasi , Perilaku Keamanan Pada Para Pengguna Media Sosial Line," vol. 1, no. 9, pp. 783-792, 2017.

M. Dehghani and M. Tumer, "A research on effectiveness of Facebook advertising on enhancing purchase intention of consumers," Computers in Human Behavior, vol. 49, pp. 597-600, 2015.

A. Singh, S. Sharma, and M. Paliwal, "Adoption intention and effectiveness of digital collaboration platforms for online learning: the Indian students’ perspective," Interactive Technology and Smart Education, 2020.

M. Y.-C. Yim, Y. K. Kim, and J. Lee, "How to easily facilitate consumers’ mental simulation through advertising: the effectiveness of self-referencing image dynamics on purchase intention," International Journal of Advertising, pp. 1-25, 2020.

A. Sherkat and A. Chenari, "Assessing the effectiveness of entrepreneurship education in the universities of Tehran province based on an entrepreneurial intention model," Studies in Higher Education, pp. 1-19, 2020.

Y. Wang, S. Wang, J. Wang, J. Wei, and C. Wang, "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, vol. 47, no. 1, pp. 397-415, 2020.

H. L. Neumann, L. M. Martinez, and L. F. Martinez, "Sustainability efforts in the fast fashion industry: consumer perception, trust and purchase intention," Sustainability Accounting, Management and Policy Journal, 2020.

M. Irfan, Z.-Y. Zhao, A. Rehman, I. Ozturk, and H. Li, "Consumers’ intention-based influence factors of renewable energy adoption in Pakistan: a structural equation modeling approach," Environmental Science and Pollution Research, pp. 1-14, 2020.

D. Cudjoe, Q. Yuan, and M. S. Han, "An assessment of the influence of awareness of benefits and perceived difficulties on waste sorting intention in Beijing," Journal of Cleaner Production, vol. 272, p. 123084, 2020.

I. Waris and I. Hameed, "Promoting environmentally sustainable consumption behavior: an empirical evaluation of purchase intention of energy-efficient appliances," Energy Efficiency, vol. 13, pp. 1653–1664, 2020.

X. Liu et al., "Dynamical User Intention Prediction via Multi-modal Learning," in International Conference on Database Systems for Advanced Applications, 2020: Springer, pp. 519-535.

R. J. M. Ventayen, K. L. A. Estira, M. J. De Guzman, C. M. Cabaluna, and N. N. Espinosa, "Usability Evaluation of Google Classroom: Basis for the Adaptation of GSuite E-Learning Platform," Asia Pacific Journal of Education, Arts, vol. 5, no. 1, pp. 47-51, 2018.

D. I. Sensuse and D. B. Napitupulu, "The Study of User Acceptance Toward E-Learning System in Higher Education," Indonesian Journal of Electrical Engineering and Computer Science, vol. 7, no. 2, pp. 466-473, 2017.

G. Walsham, "Research methodologies for information systems in the development context: a tutorial," 2018.

P. M. Nardi, Doing survey research: A guide to quantitative methods. Routledge, 2018.

S. H. Marakkalage, B. P. L. Lau, S. K. Viswanath, C. Yuen, and B. Yuen, "Real-time data analysis using a smartphone mobile application," in Ageing and the Built Environment in Singapore: Springer, 2019, pp. 221-240.

T. T. C. Lin, and Y.-H. Chiang, "Investigating predictors of smartphone dependency symptoms and effects on academic performance, improper phone use and perceived sociability," International Journal of Mobile Communications, vol. 15, no. 6, pp. 1-27, January 2017, doi: 10.1504/IJMC.2017.10005647.

C. Stachl et al., "Personality Traits Predict Smartphone Usage," European Journal of Personality, vol. 31, no. 6, pp. 701-722, 2017, doi: 10.1002/per.2113.

M. S. Shahibi and F. A. Aziz, "The Effect of Smartphone that Influence the Compulsive Usage among Students The Effect of Smartphone that Influence the Compulsive Usage among Students," vol. 7, no. 8, pp. 888-908, September, 2017, doi: 10.6007/IJARBSS/v7-i8/3302.

A. Subiyakto, A. R. Ahlan, and H. T. Sukmana, "An Alternative Method for Determining Critical Success Factors of Information System Project," TELKOMNIKA Telecommunication, Computing, Electronics and Control, vol. 12, no. 3, pp. 665-674, 2014, doi: http://dx.doi.org/10.12928/telkomnika.v12i3.105.




DOI: https://doi.org/10.15408/aism.v4i1.19457 Abstract - 0 PDF - 0

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Universitas Islam Negeri (UIN) Syarif Hidayatullah Jakarta
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Applied Information System and Management (AISM) by Department of Information Systems, Faculty of Science and Technology, Universitas Islam Negeri (UIN) Syarif Hidayatullah Jakarta, Indonesia is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at http://journal.uinjkt.ac.id/index.php/aism.