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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. Variables of total population and relative prices to demand of rice imports in Indonesia, and the t test partially, to t count the total population (-1.604)> t table - (2.01), which means there is no significant influence among the total population with the demand of rice imports and for the relative price of t count (-3.COVID-19 pandemic have been spread around the world since the first outbreak on Desember 2019 in Wuhan, China. Hypothesis test, F test shows (Fcount = 10.672)> (Ftable = 3.20), which states there is simultaneously a significant influence of the Variable of total population, relative prices, and demand of rice imports is normally expressed as the significance of each variable is more than 0.05. Kolmogorov Smirnov test for normality can be concluded that the The method used is a method of ex post facto method to the type of data used are secondaryĭata obtained and extracted through the processing of the second field of research, either qualitative data or quantitative data. This research was carried out by taking the data demand of imported rice, the total population, the relative price of rice, the Central Statistics Agency (BPS) and the National Logistics Agency (BULOG) ± about three months from March 2012 until May 2012.

This study aims to determine the effect of total population and relative price toward demand of rice imports in Indonesia. Faculty of Economics, State University of Jakarta.

The Influence Total Population and Relative Price Toward Demand of Rice Imports in Indonesia.