TY - JOUR
T1 - Spatial Analysis of The Human Development Index in Indonesia Before and During The Covid-19 Pandemic
AU - Astari, S.
AU - Chotib,
N1 - Publisher Copyright:
© 2024 Institute of Physics Publishing. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In 2020 Indonesia's HDI reached 71.94 or in a very high category, it is in 107th place out of 189. The HDI in every province in Indonesia shows varying numbers and has increased every year, but there has been a slowdown increase from 2019 to 2020, which caused by the Covid-19 pandemic. This study aims to analyze the variables which affect HDI in Indonesia before and during the Covid-19 pandemic, it also to analyze Covid-19 pandemic affect HDI in Indonesia. This research uses a quantitative method with descriptive analysis and inferential analysis by spatial regression using geoda software. The HDI before the Covid-19 pandemic is significantly affected by the percentage of poor residents and the university gross enrollment rate, while the during Covid-19 pandemic, HDI is also significantly affected by Gross Regional Domestic Product (GRDP) per capita and ratio of the number of hospital beds to 1.000 residents. Based on the spatial dependency test, it is known that there is a spatial dependency for HDI in Indoncovid-10esia during Covid-19 pandemic period. From these results, it is necessary to have a policy that is oriented to reducing poverty, increasing the scope of education services, improving macroeconomic conditions in a region and also ensure a sufficient number of hospital beds, especially during the Covid-19 pandemic.
AB - In 2020 Indonesia's HDI reached 71.94 or in a very high category, it is in 107th place out of 189. The HDI in every province in Indonesia shows varying numbers and has increased every year, but there has been a slowdown increase from 2019 to 2020, which caused by the Covid-19 pandemic. This study aims to analyze the variables which affect HDI in Indonesia before and during the Covid-19 pandemic, it also to analyze Covid-19 pandemic affect HDI in Indonesia. This research uses a quantitative method with descriptive analysis and inferential analysis by spatial regression using geoda software. The HDI before the Covid-19 pandemic is significantly affected by the percentage of poor residents and the university gross enrollment rate, while the during Covid-19 pandemic, HDI is also significantly affected by Gross Regional Domestic Product (GRDP) per capita and ratio of the number of hospital beds to 1.000 residents. Based on the spatial dependency test, it is known that there is a spatial dependency for HDI in Indoncovid-10esia during Covid-19 pandemic period. From these results, it is necessary to have a policy that is oriented to reducing poverty, increasing the scope of education services, improving macroeconomic conditions in a region and also ensure a sufficient number of hospital beds, especially during the Covid-19 pandemic.
UR - http://www.scopus.com/inward/record.url?scp=85184585916&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1291/1/012002
DO - 10.1088/1755-1315/1291/1/012002
M3 - Conference article
AN - SCOPUS:85184585916
SN - 1755-1307
VL - 1291
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012002
T2 - 2nd International Conference of Science and Applied Geography, ICoSAG 2022
Y2 - 24 November 2022 through 25 November 2022
ER -