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• #Download data penduduk indonesia serial

The research data used is secondary and the data is obtained from the Central Bureau of Statistics. Myers, “Ilmu Peluang dan Statistika untuk Insinyur dan Ilmuan Edisi ke-4”, Bandung: ITB Press, 1995.This study aims to analyze the effect of total population, human development index and minimum wages on open unemployment in Indonesia in 2010-2019.

#Download data penduduk indonesia serial

Watson, “Testing for Serial Correlation in Least Squares Regression II,” Biometrika Vol. Pagan, “A Simple Test for Heteroscedasticity and Random Coefficient Variation,” Journal of The Economics Society Vol. “Power Comparison of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling Test,” Journal of Statistical Modeling and Analytics Vol.

Ĝhen, Colin., “Robust Regression and Outlier Detection with the ROBUSTREG Procedure,” SUGI Paper 265-27, 2002. P., “Modern Regression Methods”, Canada: John Wiley & Son, Inc., 1997.

dkk, “Effect of population density on epidemics,” Physica A: Statistical Mechanics and Its Application. A., “Dampak populasi dan mobilitas perkotaan terhadap penyebaran pandemi COVID-19 di Jakarta”, Jurnal Tunas Geografi Vol. Hamidi, S., “Does Density Aggravate the COVID-19 Pandemic,” Journal of American Planning Association, vol. J., “Effectiveness of population density as natural social distancing in COVID-19 spreading”, Elsevier Masson SAS. “Social distancing, population density, and spread of COVID-19 in England.” “A geographic analysis of population density thesholds in influenza pandemic of 1918-19,” International Journal of Helath Geographics. “Urbanisation and infectious diseases in a globalised world”, Elsevier vol. “Jakarta: A city of cities”, Elsevier, 2020. J., dan MD, “How urbanization affects the epidemiology of emerging infectious disease,” Infection Ecolofy and Epidemiology, 2015. WHO.int (2020), Timeline: WHO’s COVID-19 response, (diakses 19 November 2020). Worldometer 2020, Coronavirus Cases, (diakses 19 Novermber 2020). But mobilities and interactions betweeen citizens has also give a great impact. Analysis on statistical test for the chosen model shows that population density has significant impacts on outbreak pattern of COVID-19 in Jakarta. M-Estimator Robust Regression with Tukey Bisquare function, shows the best result with the least Residual Standar Error (RSE), that is 0.411. This unbiased method shows a good regression model of spreading new positive cases. Descriptive and inferential analysis that combined with Robust Regression Test are conducted due to some outliers data. Focus and the scope of this paper is on analyzing the relation between new cases of COVID-19 with population density of Jakarta’s districts. This is a secondary data research which drawn from Health Ministry of Indonesia as well as Center of Statistics for DKI Jakarta. DKI Jakarta as one of the highest population density among 34 provinces in Indonesia, has become an endemic area of COVID-19 with the rate of new cases show some fluctuation for each month along 2020. COVID-19 pandemic have been spread around the world since the first outbreak on Desember 2019 in Wuhan, China.