Abstract:The purpose of the study was to determine the effect of product quality and service quality on customer satisfaction at the SLV Room Boutique. The population in this study were consumers of SLV Room Boutique. the sampling…
g in this study was carried out using a purposive sampling technique so that 80 respondents were sampled. The type of research used is quantitative. The data used is primary data obtained by distributing questionnaires to consumers. The results of the study after the data was processed with SPSS.23 show that there is a partially significant effect between the independent variable and the dependent variable which can be proven by the calculated t value of the product quality variable (X1) of 2,938> t table 1.665 with a significant value of 0.004 <0.05 and the calculated t value of the service quality variable (X2) of 4.700> t table 1.665 with a significant value of 0.000 <0.05. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. 338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. 338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study.
Abstract:The purpose of this study to see the effect of the campaigning for green marketing. This research aims to determine the effect of green marketing, service quality on customer loyalty through customer satisfaction as an intervening…
ntervening variable. The method used is a quantitative method with descriptive and causality research types, as well as the SEM-PLS analysis method. The final sample was 224 Starbucks Coffee customers in Makassar City. Based on the results of the study it was concluded that green marketing and service quality have a positive and significant effect on customer loyalty either directly or through customer satisfaction as an intervening variable.
Abstract:The purpose of this study was to determine the effect of product quality, price, and after-sales service on purchasing decisions for Honda brand Matic Motorbikes individually and simultaneously. The sample used was 100 students…
tudents of the Faculty of Economics and Business who had been selected based on predetermined criteria. Data collection techniques were carried out by questionnaire and literature study. The data analysis technique consists of validity test, reliability test, classical assumption test which consists of normality test, multicollinearity test, and heteroscedasticity test, multiple linear analysis test, hypothesis testing, determinant coefficient test. All independent variables have a correlation that is in the same direction as the dependent variable (purchase decision). The most dominant variable influencing purchasing decisions is the product quality variable. Which means that the dependent variable purchasing decisions can be explained by variables consisting of product quality, price, and after-sales service, the rest is explained by other variables that are not examined.
Abstract:Strategy Analysis in Increasing Competitiveness at E11evenkick Academy in Makassar City. Thesis Faculty of Economics and Business, Makassar State University Supervised by Anwar and Muh. Ichwan Musa. This study aims to determine…
termine strategies for increasing competitiveness at E11evenkick Academy in Makassar City. The type of research used is descriptive qualitative. Descriptive, namely research that aims to describe the nature, circumstances, phenomena, of an individual or group that you want to study. Qualitative research emphasizes quality not quantity and the data collected does not come from questionnaires but comes from interviews, direct observation and other related documents, and in this study the respondents are known as resource persons. The findings of this study explain that E11evenkick Academy is being faced with threats from outside the company but currently these threats can be suppressed and minimized by maximizing and optimizing the internal strengths of E11evenkick Academy. Based on the SWOT analysis, E11 Evenkick Academy is in quadrant II of the SWOT diagram. The strategy that must be implemented is to use the company's strengths to take advantage of long-term opportunities by way of a diversification strategy. The diversification strategy in question is how E11evenkick Academy can increase growth, sales and profits through expanding its market sector. This strategy will serve as the basis for E11evenkick Academy to increase competitiveness, especially in Makassar City.
Abstract:This study aims to determine the effect of product quality on customer satisfaction at the KFC pettarani branch in Makassar. The independent variable in this study is product quality, while the dependent variable is customer…
omer satisfaction. The population in this study is the customer of KFC Pettarani Makassar City, amounting to 43,000 customers per month, while the sample used is based on the Slovin formula with an error rate of 10%, namely 100 respondents. Withdrawal sampling technique is non-probability sampling with the technique taken is accidental sampling technique. Data was collected using a questionnaire. The data analysis technique used is simple linear regression analysis using SPSS 25.00 for windows. Based on simple linear regression analysis, the results obtained are product quality which affects customer satisfaction. The influence given is positive and significant. The positive direction given by the product quality variable (independent) can be seen from the regression equation as follows: Y = 1.663 + 0.310X. This shows that product quality has a positive and significant effect on customer satisfaction.
Abstract:Through customer satisfaction at Marinar Café Makassar City, this study aims to analyze the effect of store atmosphere, service quality, and product variants on consumer loyalty. This study uses a quantitative approach to…
to collect data from 100 respondents who are customers of Marinor Café in Makassar City. Participants in this study were all visitors to the Marinor Cafe in Makassar City. Path analysis (Path analysis) is the data analysis method used. The findings show that customer satisfaction at Marinor Café Makassar City is positively and significantly influenced by store atmosphere, service quality, and product variants. Therefore, it can be said that customer satisfaction can mediate the effect of service quality and product variety on customer loyalty, but does not mediate the effect of store atmosphere on customer loyalty.
Abstract:This research examines The Influence of Work Stress on Employee Work Motivation in Financial Institutions and Regional Assets of Barru Regency. The purpose of this research is to find out The Influence of Work Stress on…
Employee Work Motivation in Financial Institutions and Regional Assets of Barru Regency. This research approach is quantitative. This research was conducted at the Regional Financial and Asset Agency of Barru Regency. The sample used was 68 people. Data collection techniques in the form of observation, questionnaires and documentation. Data analysis techniques include validity test, reliability test, normality test, descriptive analysis, simple linear regression analysis, t test (partial) and coefficient determination test (r2). The research results show thatwork stress has a negative and effect onwork motivation. The higher the work stress experienced by employees, the morework motivationemployees are decreasing. When an employee in carrying out his duties, gets a high work load, will take actions that can reduce the quality of his work there by reducing motivation at work. So it is concluded thatwork stress havenegative influenceto work motivation at the Regional Financial and Asset Agency of Barru Regency.
Abstract:This study is a quantitative study that aims to determine the effect of product quality and price on consumer satisfaction of Samsung smartphones (a case study on students of the Faculty of Economics, State University of…
Makassar). The independent variables in this study are product quality and price, while the dependent variable is consumer satisfaction. The population in this study were all active students of the Faculty of Economics, State University of Makassar class of 2018, using the Sampling method, a sample of 100 respondents was obtained. Data collection techniques used are questionnaires, literature study, and documentation. The data analysis technique used is multiple linear regression analysis using Statistical Product and Service Solution (SPSS) v. 13. The results of this study indicate that product quality (X1) partially has a significant effect on consumer satisfaction for Samsung smartphones. Price (X2) partially has a significant effect on consumer satisfaction of Samsung smartphones. And product quality (X1) and price (X2) simultaneously have a significant effect on consumer satisfaction for Samsung smartphones.
Abstract:This study aims to determine the effect of service quality on repurchasing and the effect of customer satisfaction on repurchasing halal fashion products at the Bone Sewing House (RJA). The variables used are Service Quality…
lity (X1), Customer Satisfaction (X2) as the independent variable and Repurchase (Y) as the dependent variable. This study uses a quantitative approach. The research was conducted using a purposive sampling technique, with a sample of 80 respondents. The data collection method was through distributing questionnaires to the customer population of the Bone Sewing House (RJA). The data analysis technique used is Partial Least Square (PLS). The results of this study indicate that service quality (X1) has a significant effect on repurchase (Y) and customer satisfaction (X2) has a significant effect on repurchase (Y) with a sig value of 0.000, which means the value is less than α 0.05 or (0.000 < 0.05).
Abstract:This study aims to find out how the effect of e-service quality on e-loyalty through e-satisfaction at Mandar Coklat Shop Macoa. The population in this study were customers at Mandar Coklat Shop Macoa the sample used was…
60 customers. Data collection was carried out using the questionnaire method which was distributed via Google from. The data analysis technique used is partial least squares (PLS) using measurement model analysis (outer model) and structural model analysis (inner model) where the research results show a direct effect of E-Service (X) on E-Loyalty (Y), where from the results of the statistical test the result is a p-value (0.011) <0.05, which means that the p-value is less than the significance level of 0.05 so that there is a direct effect of E-Service on E -Loyalty.