Abstract

Density is one of the factors that affect the quality of crude oil. In the process of measuring the density of crude oil, the temperature of the crude oil is also measured. Therefore an analysis is needed to determine the effect of temperature on density crude oil. In this study, the authors will discuss and analyze the effect of temperature on the density of crude oil at refinery and utility units using the Theil method approach in non-parametric linear regression analysis. From the research results obtained a non-parametric simple linear regression model with the Theil method on the effect of temperature data on density crude oil PPSDM Migas Cepu in December 2020 is: ,, where   is the estimated value of the dependent variable  and are independent variables (temperature crude oil). The test results show that at a significant level of 0.05, temperature affects the density of crude oil. The correlation between temperature and density crude oil has a very strong correlation with the Kendall-Tau correlation value of -0.810 and the relationship between the two variables is opposite, which means that the higher the temperature, the lower the density of crude oil. The confidence interval of 0.95 slope coefficient is in the range of  , meaning that with 95% confidence it is concluded that the density crude oil will decrease to 2.298 or increase to 0.007 kg / m3 for every 1° C increase in temperature.

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