Journals Information
Universal Journal of Public Health Vol. 10(4), pp. 346 - 361
DOI: 10.13189/ujph.2022.100408
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Data Science-Based Statistical Modeling in Revealing Community Intentions and Behaviors for the Covid-19 Vaccine
Adji Achmad Rinaldo Fernandes *, Solimun , Ananda Ajeng Puspitasari , Avida Zahra , Carmelia Nabila Permatasari , Henida Ratna Ayu Putri , Mamlu'atul Marchamah , Tamara Rezti Syafriana
Department of Statistics, Faculty of Mathematics and Natural Sciences, Brawijaya University, 65145, Indonesia
ABSTRACT
This study wants to examine the effect of the Benefits of Vaccines and the Ease of Getting Vaccines on the Intention to get vaccinated against Covid-19 and Covid-19 Vaccinated Behavior, while originality in terms of application lies in the analysis of Intention and Covid-19 Vaccinated Behavior. The approach used in this research is descriptive, exploratory, and explanatory using a mixed-method. This study uses several analytical methods, DNA is used to compose the questionnaire, cluster analysis is used to group several data sets that have been obtained, and path analysis is used to model Intention and Covid-19 Vaccinated Behavior. The variables in this study are the Benefits of Vaccines, Ease of Getting Vaccines, Intention to get vaccinated against Covid-19, and Covid-19 Vaccinated Behavior. The source of data used in this research is DNA by crawling data from various information in cyberspace, either in the form of articles, online news, journals, or content on social media. The location of this research will be carried out in the area of Malang City, Indonesia. The research will be carried out from July to September 2021 by taking primary data, in the form of assessments or perceptions from respondents, so that a survey is carried out with enumerators submitting questionnaires directly to the community as respondents. The population used in this study is the community throughout the city of Malang with a total of 635575 residents. The sampling technique used is simple random sampling.
KEYWORDS
Discourse Network Analysis, Cluster Analysis, Path Analysis, Vaccination, Covid-19
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Adji Achmad Rinaldo Fernandes , Solimun , Ananda Ajeng Puspitasari , Avida Zahra , Carmelia Nabila Permatasari , Henida Ratna Ayu Putri , Mamlu'atul Marchamah , Tamara Rezti Syafriana , "Data Science-Based Statistical Modeling in Revealing Community Intentions and Behaviors for the Covid-19 Vaccine," Universal Journal of Public Health, Vol. 10, No. 4, pp. 346 - 361, 2022. DOI: 10.13189/ujph.2022.100408.
(b). APA Format:
Adji Achmad Rinaldo Fernandes , Solimun , Ananda Ajeng Puspitasari , Avida Zahra , Carmelia Nabila Permatasari , Henida Ratna Ayu Putri , Mamlu'atul Marchamah , Tamara Rezti Syafriana (2022). Data Science-Based Statistical Modeling in Revealing Community Intentions and Behaviors for the Covid-19 Vaccine. Universal Journal of Public Health, 10(4), 346 - 361. DOI: 10.13189/ujph.2022.100408.