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This research aims to examine the influence of e-service quality on customer satisfaction of the Grab online application in Purworejo. In the research, the population was Grab users in the Purworejo Regency area. The number of Grab users is unknown and can be said to be in the infinite category. The sampling technique used is purposive sampling with the hope that the researcher will obtain a representative sample based on the specified criteria. So the total research sample was 97 people. Data analysis techniques use multiple linear regression analysis, determination test, t test and f test. The research results from the multiple linear regression line equation produce the equation Y=-4.136+0.888X1+0.262X2. The constant coefficient value obtained is -4.136. This means that if the value of the e-servicequality and price variables is equal to 0, then the level or magnitude of the customer satisfaction variable is -4.136. The e-service quality variable has a coefficient of 0.888. A value of 0.888 means that if the value of the e-service quality variable increases by 1 unit and other variables are considered constant, the level of customer satisfaction will increase by 0.888. The price variable has a coefficient of 0.262. A value of 0.262 means that if the value of the price variable increases by 1 unit and other variables are considered constant, the level of customer satisfaction will increase by 0.262. Determination analysis produces an Ajusted R Square of 0.837, this figure means that 83% of the level of customer satisfaction can be explained using the e-service quality and price variables. Meanwhile, the remaining 17% may be influenced by other variables that were not studied, for example company image, promotion and brand ambassador factors. The t test shows that the e-service quality variable shows that the calculated t is greater than the t table (12,636> 1,661). This means that hypothesis 1 (H1) proposed that partially there is a significant influence between e-service quality on customer satisfaction is accepted and Ho is rejected. The price variable obtained by t calculated is greater than t table (3267 > 1,661). This means that hypothesis 2 (H2) proposed that partially there is a significant influence between price on customer satisfaction is accepted and Ho is rejected. The f test shows that F count > F table or (247,816 > 3.09) which means Hypothesis 3 (H3) which states that simultaneously there is a significant influence between e-service quality and price on customer satisfaction is accepted and Ho is rejected. 

This research aims to find out whether there is a positive and significant influence between Grab's service quality and consumer satisfaction during the Covid-19 pandemic. The population in this research is Grab users in Purworejo whose number is unknown, while the number of samples in this research is 40 people. Data collection techniques in this research are observation, questionnaires, documentation and literature study. Data analysis techniques use simple correlation tests, simple linear regression, determination tests and t tests. The results of a simple correlation test show that service quality X and customer satisfaction Y have a significance value of 0.659, which means that the two variables have a strong correlation. Based on a simple linear regression test, the resulting regression coefficient X is 0.410, which states that if there is an increase of 1 point in the value of the regression coefficient The results of the determination test showed that the coefficient of determination (R2) had a value of 0.435, this means that 43.5% of consumer satisfaction was influenced by the service quality variable, while 56.5% was influenced by other variables that were not studied, for example competition with other online motorcycle taxis, tariffs. or price, customer experience in using grab services, etc. Based on the t test, tcount is 5.408 while ttable is 2.02439. With these data, tcount > ttable, so it can be concluded that the Ha hypothesis is acceptable, namely that there is a significant influence between service quality variables on customer satisfaction and can be accepted. 

Today's business competition requires companies to be able to compete with other companies. PT. Biru Pratama Logistindo Line is a company engaged in import-export services. This study aims to determine the relationship between service quality, facilities and timeliness of delivery of the satisfaction of service users of PT. Biru Pratama Logistindo Line. The data analysis technique used is multiple linear regression analysis and the sampling technique uses proportional random sampling with 42 respondents as consumers of PT. Biru Pratama Logistindo Line taken from a total population of 62 consumers. The analytical tool used in this research is SPSS (Statitical Package for Social Science) Version 22.0.