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The Change of Socio-Economic Correlation due to COVID-19 Pandemic in Indonesia
2021 International Conference on Data Science and Its Applications, ICoDSA 2021 ; : 221-227, 2021.
Article in English | Scopus | ID: covidwho-1662205
ABSTRACT
The COVID-19 pandemic has been going on for over one year until today. The government of Indonesia has issued various policies to break the chain of transmission of COVID-19, including the imposition of Large-Scale Social Restrictions and the Enforcement of Restrictions on Micro-scale Community Activities. However, in socio-economics dimension, especially on Economic Growth Rate (EGR), Human Development Index (HDI) and Poverty Percentage (PP), this pandemic has changed how they interact each other. This study presents anomaly correlation regarding those three socio-economics dimensions. The data for analysis was taken from Statistics Indonesia that consists of monthly report data in socio-economics fluctuation during two years period (2019-2020). For year 2019, the results of the Bivariate correlation test showed that the increasing of the Economic Growth Rate (EGR) would increase the Human Development Index (HDI) and decrease the Poverty Percentage (PP) in Indonesia. This correlation did not happen in 2020, because when the Economic Growth Rate (EGR) was increased, the Human Development Index (HDI) level was decreased and Poverty Percentage (PP) was increased. The 2020 result behaviour showed an opposite condition compared to normal correlation term. Some analysis has been discussed on the paper regarding this anomaly condition. The worst impact due to the COVID-19 pandemic in this analysis were shown in Bali-Nusa Tenggara region, where the Economic Growth Rate (EGR), Human Development Index (HDI) and Poverty Percentage (PP) values are below the national value. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Data Science and Its Applications, ICoDSA 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Data Science and Its Applications, ICoDSA 2021 Year: 2021 Document Type: Article