Abstract:This study aims to analyze the effect of job satisfaction on turnover intention. The population in this study are employees who are at PT. Hadji Kalla Makassar, Urip Sumoharjo Branch, with a total sample of 51 employees.…
This research is a quantitative study and quantitative analysis, using a simple regression test model using the SPSS version 25 software. The results of this study indicate that job satisfaction has a negative and significant effect on turnover intention with a correlation coefficient value of 32.5%
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:This study aims to determine the effect of working capital turnover (WCTO) on the level of profitability (ROA) at PT Semen Indonesia (Persero) Tbk. The population in this study is all financial report data of PT. Semen Indonesia…
ndonesia (Persero) Tbk for the 2013-2020 period, while the samples in this study are statements of financial position and profit/loss statements. The documentation technique is the data collection technique used. The data collected was analyzed using financial ratios, simple regression analysis, correlation coefficients and t-test with the SPSS (Statistic Product and Service Solution) 24 For Windows program.
The findings in this study show that working capital turnover (WCTO) and profitability (ROA) have increased quarterly every year as measured by financial ratios. The results of the t-test show that the working capital turnover variable (WCTO) has a positive and significant influence on the level of profitability. The hypothesis in this study is accepted.
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 determine the effect of competence on employee performance at the Education and Culture Office of Enrekang Regency. The independent variable in this study is employee competency, while the dependent variable…
riable is employee performance. This type of research is quantitative research. The number of respondents used in this study were 30 people. The data analysis technique used in this study is simple linear regression analysis using SPSS 13.00 for windows. The results of this study were obtained from the t test showing a significant influence between the two variables with a sig probability. of 0.009 where this value is much smaller than 0.05. This means that competence has a significant influence on employee performance. Because the significant value is smaller than the error rate (0.05). The conclusion is that employee competence has a positive and significant effect on employee performance at the Education and Culture Office of Enrekang Regency.
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: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).
Abstract:This study aims to test whether the variables Liquidity (CR), Solvency (DAR), and Profitability (ROA) have an influence on Profit Changes at PT. Indofood Sukses Makmur Tbk. The population in this study is all financial report…
eport data of PT. Indofood Sukses Makmur Tbk for the 2014-2021 period in each quarter, while the samples in this study are statements of financial position and profit/loss reports. The documentation technique is the data collection technique used. The collected data were analyzed using financial ratios which were then entered into the multiple linear regression equation. Based on the results of this analysis, it can be seen that partially the current ratio and debt to assets ratio do not have a significant effect on changes in earnings. These results are inconsistent with (H1) and (H2) which say the current ratio and debt to asset ratio partially have an influence on changes in earnings. It is also known that partially the return on assets has a significant effect on changes in earnings. These results are in accordance with (H3) which says return on assets has an influence on changes in earnings. From the results of this analysis it can also be seen that simultaneously the current ratio, debt to assets ratio, and return on assets do not have a significant effect on changes in earnings. This result is inconsistent with (H4) which states that the current ratio, debt to asset ratio, and return on assets simultaneously have an influence on changes in earnings.