Using Correlation to Explore the Impact of Corona Virus Disease on Socioeconomics
Date
2022-06-07Author
Fitriadi, Fitriadi
Jiuhardi, Jiuhardi
Busari, Arfiah
Ulfah, Yana
Hakim, Yundi Permadi
Kurniawan A., Erwin
Darma, Dio Caisar
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In the 21st century, the tragedy of the pandemic shocks the world. This non-natural disaster is called
COVID-19. Its dominant effect is also worrying about social and economic conflicts at local,
national, and even international levels. The orientation of this research is to investigate the impact of
COVID-19 on the socioeconomic aspects in Indonesia from 2020-2022. We set the research using
official/secondary publications. Data analysis was interpreted in three formats: Pearson, Kendall’s,
and Spearman’s correlations. It channelled empirical testing through Microsoft Excel and SPSS
v.25. Social items include migration, mortality, domestic violence, and sexual harassment, while the
nine economic items are per capita spending, well-being, unemployment, poverty, and labor
productivity. Then, statistical instruments were reviewed based on the correlation coefficient and
level of significance (5% for Pearson and 1% for Kendall’s and Spearman’s). The results are not
much different between Pearson’s approach, Kendall’s and Spearman’s. In Pearson model, it proved
a negative correlation when COVID-19 increases, so migration, unemployment, poverty, and labor
productivity decrease. COVID-19 has had a positive impact on mortality, domestic violence, sexual
harassment, per capita spending, and well-being. In Kendall’s and Spearman’s tests, poverty and
labor productivity have actually increased because of COVID-19. Implementing semi-lockdown is a
priority so that the social and macroeconomic constellations continue without ignoring the latent
dangers of COVID-19. The limitations of the study are discussed in the future.