Abstract:This study aims to determine the effect of lifestyle and self-concept on consumptive behavior in students of the Faculty of Economics, Makassar State University. The population in this study were 2757 students of the Faculty…
ulty of Economics, Makassar State University and a sample of 96 students was drawn. This study uses a type of quantitative research with a regression approach. Data collection techniques were carried out by observation, interviews, documentation and distributing questionnaires (questionnaires). The analysis technique used is multiple linear regression. The results showed that partially, the lifestyle variable (X1) had a positive effect on consumptive behavior (Y) with a value of T count (5.732) > T table (1.985) and the self-concept variable (X2) had a positive effect on consumptive behavior (Y) with a value of T count (3.085) > T table (1.985), while simultaneously the lifestyle variable (X1) and self-concept (X2) had a positive effect on consumptive behavior (Y) with a value of F count (51.087) > F table (3.10).
Abstract:The purpose of this study was to determine the effect of the work environment on the job satisfaction of the Samsat Office UPT Regional Income Makassar 1 regionally partially and simultaneously. The samples used were 40…
employees of the UPT Regional Revenue Samsat Office Makassar Region 1. The data collection technique was carried out by means of a questionnaire. Data analysis techniques consist of validity test, reliability test, classic assumption test consisting of normality test, multicollinearity test, and heteroscedasticity test, multiple linear analysis test, hypothesis test, test of the coefficient of determination. Physical Work Environment Variables have a positive and significant effect on job satisfaction, and Non-Physical Work Environment variables have a positive and significant effect on job satisfaction. The most dominant variable affecting job satisfaction is the non-physical work environment variable. The dependent variable job satisfaction can be explained by variables consisting of the physical work environment, and the remaining non-physical work environment is explained by other variables that were not examined in this study.
Abstract:This study aims to determine the effect of electronic word of mouth and price on purchasing decisions for Big Bananas in Makassar City partially and simultaneously. The population in this study are followers of the Big Bananas…
ananas Instagram account, totaling 78,182 users as of November 2022. The sample used is based on the slovin formula with an error rate of 10%, namely 100 respondents. The sampling withdrawal technique is systematic random sampling. Data collection techniques were carried out using questionnaires, literature studies and interviews. The data analysis technique used is multiple regression analysis using SPSS 22.00 for windows. The results showed that electronic word of mouth and price had a positive and significant effect on purchasing decisions for Big Bananas in Makassar City.
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:This study aims to (1) determine the effect of work motivation on employee performance, (2) determine the effect of work discipline on employee performance, (3) determine the influence of motivation and work discipline jointly…
ointly on employee performance in the Gantarangkeke sub-district office, Gantarangkeke district, Bantaeng regency. The type of data used in this study is quantitative data obtained from questionnaires that are distributed and related to the problem under study with a sample size of 41 people. Data were analyzed using multiple linear regression analysis with the help of SPSS 23 data processing to prove the hypothesis. The results showed that the work motivation variable obtained t-count 2.552 > t-table 1.685 and a significant value of 0.015 <0.05, then H1 is accepted, which means that the work motivation variable has a positive and partially significant effect on the performance variable. While the work discipline variable obtained t-count 7.189 > t-table 1.685 and a significant value of 0.000 <0.05, then H2 is accepted which means the work discipline variable has a positive and partially significant effect on performance variables. Based on the research results it is known that the performance variable, obtained f-count 35.267, where the value is greater than f-table 3.24. And a significant value of 0.000 indicates that the variables of motivation and work discipline have a positive and significant effect on performance variables together. t-table 1.685 and a significant value of 0.000 <0.05, then H2 is accepted, which means that the work discipline variable has a positive and partially significant effect on performance variables. Based on the research results it is known that the performance variable, obtained f-count 35.267, where the value is greater than f-table 3.24. And a significant value of 0.000 indicates that the variables of motivation and work discipline have a positive and significant effect on performance variables together. t-table 1.685 and a significant value of 0.000 <0.05, then H2 is accepted, which means that the work discipline variable has a positive and partially significant effect on performance variables. Based on the research results it is known that the performance variable, obtained f-count 35.267, where the value is greater than f-table 3.24. And a significant value of 0.000 indicates that the variables of motivation and work discipline have a positive and significant effect on performance variables together.
Abstract:The purpose of this study was to determine the effect of trust and perceived risk on purchasing decisions at E-commerce Shopee partially and simultaneously. The sample used was 100 students of the Faculty of Economics and…
d Business who had been selected based on predetermined criteria. Data collection techniques were carried out using questionnaires and literature study. Data analysis techniques consist of validity test, reliability test, classic assumption test consisting of normality test, multicollinearity test, and heteroscedasticity test, multiple linear analysis test, hypothesis test, test of the coefficient of determination. The Trust variable has a positive and significant influence on purchasing decisions, the Perceived Of Risk variable has a positive and significant influence on purchasing decisions. the dependent variable of purchasing decisions can be explained by variables consisting of Trust and Perceived Of Risk, the rest is explained by other variables that were not examined in this study
Abstract:The purpose of this research is totest and analyze the effect of Non Performing Loans (NPL) and Loan to Deposit Ratio (LDR) on Return On Assets (ROA) at PT. Sulselbar Bank. The techniques for collecting secondary data are…
e obtained from the Financial Data at PT. Sulselbar Bank. The population is the financial statements at PT. Bank Sulselbar from August 2017 to December 2021, and the samples taken are monthly data for 4 (four) years and 5 (five) months. So, the amount of data obtained is 53. The results of the research have been tested on classic assumptions such as the assumption of normality, the assumption of multicollinearity and the assumption of heteroscedasticity. By applying multiple linear regression techniques in the process of analyzing the data. The results showed that partially Non Performing Loans (NPL) had a negative and insignificant effect on Return on Assets (ROA) and Loan To Deposit Ratio (LDR) had a positive and insignificant effect on Return on Assets (ROA). Simultaneously Non Performing Loans (NPL) and Loan to Deposit Ratio (LDR) have a positive effect
Abstract:This study aims to (1) determine the effect of job satisfaction on employee performance, (2) determine the effect of employee commitment on employee performance, (3) determine the effect of job satisfaction and employee…
commitment jointly on employee performance at the Makassar City Social Service . The data used in this study are primary and secondary data with a total sample of 69 respondents. This study used a quantitative approach and was analyzed using multiple linear regression analysis with the help of SPSS 22 data processing to prove three hypotheses. The results of this study prove that the variable Job Satisfaction has a significant effect on Employee Performance with a t count of 2.964 > t table of 1.996. The Employee Commitment variable has a significant effect with a t count of 2.943 > t table of 1.996. Based on the results of this study it is also known that the independent variables jointly or simultaneously have a positive and significant effect on the dependent variable, namely Employee Performance at the Makassar City Social Service. Therefore, if job satisfaction and employee commitment continue to be improved, it will certainly increase employee performance.
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:This study aims to find out how the influence of transformational leadership style and work motivation on employee performance at the Sinjai District Religious Court Office. The population and this study were 40 employees…
s of the Sinjai District Religious Court. Data collection was carried out using the method of interviews, documentation and distribution of questionnaires. The data analysis technique used is multiple linear regression analysis using Statistical Product and Service Solution (SPSS).