Abstract:The Effect of Compensation on Employee Organizational Commitment of PT. Vale Tbk in Sorowako. The purpose of this study was to determine the Effect of Compensation on Employees' Organizational Commitment at PT. Vale Tbk…
in Sorowako. This type of research is quantitative research. The number of samples in this study were 60 employees who were employees in the Maintenance Department of PT. Vale The results of the study after the data were processed showed that there was a positive influence between the financial compensation (X1) and non-financial compensation (X2) variables on the Organizational Commitment variable (Y) which can be shown through the results of the T test, namely variable X1 has variable X1 has t count 4.653 > 2.002 (t table) and sig. 0.000 < 0.05. Variable X2 has a t count of 3.392 > 2.002 (t table) and a sig. 0.000 < 0.05.
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:This study aims to (1) determine the recruitment system has a partial effect on increasing employee productivity at the Banyorang coffee processing center, Tompobulu sub-district, Bantaeng district. (2) Knowing that employee…
oyee performance has a partial effect on increasing employee productivity at the banyorang coffee processing center, Tompobulu sub-district, Bantaeng regency. (3) Knowing the recruitment system and employee performance simultaneously influence the increase in employee productivity at the Banyorang coffee processing center, Tompobulu sub-district, Bantaeng regency. This research was conducted at the Banyorang coffee processing center, Tompobulu sub-district, Bantaeng district. The data used in this study are primary and secondary data, with a total sample of 30 people. The results of the research hypothesis show that the recruitment system has a partial effect on employee productivity at the Banyorang Coffee Processing Center, Tompobulu District, Bantaeng Regency. This result means that with a good recruitment system, there will be an increase in Employee Productivity. The results of the research hypothesis show that employee performance has a partial effect on employee productivity at the Banyorang Coffee Processing Center, Tompobulu District, Bantaeng Regency. This result means that with good performance, there will be an increase in Employee Productivity. The results of the research hypothesis show that the recruitment system and employee performance simultaneously influence employee productivity at the Banyorang Coffee Processing Center, Tompobulu District, Bantaeng Regency.
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:This study aims to analyze and determine the effect of loan performance on profit growth with operational costs and operating income (OCOI) as intervening variables in commercial banks in Indonesia. The data analysis technique…
hnique in this study uses Partial Least Square (PLS) using Smart PLS software. This data analysis technique is used to facilitate researchers in data processing and analysis. The results show that the loan performance coefficient positively and significantly affects profit growth. The results of testing loan performance on profit growth show a path coefficient of 0.372 with a t-statistic value of 3.504. The t-statistic value is smaller than the t-table value (1.96). The coefficient of operating costs and operating income shows a negative and significant impact on profit growth. The results of the OCOI test on profit growth show a path coefficient of -0.638 with a t-statistic value of 6.324. The t-statistic value is greater than the t-table value (1.96). The loan performance coefficient through operational costs and operating income is negative and not significant to profit growth. The results of testing the performance of loans through OCOI on profit growth show a path coefficient of -0.174 with a t-statistic value of 1.756. The t-statistic value is smaller than the t-table value (1.96).
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:Analysis of Company Bankruptcy Potential at PT. Gowa Makassar Tourism Development TBK. Thesis. Department of Management, Faculty of Economics and Business. Makassar public university. Supervised by Mr. Muhammad Ilham Wardhana…
dhana Haeruddin and Mr. Nurman. This study aims to determine the potential for corporate bankruptcy at PT. Gowa Makassar Tourism Development Tbk Period 2017 to 2021. The type of research used is quantitative descriptive. The population in this study is the financial statements of PT. Gowa Makassar Tourism Development Tbk. The sample of this research is the income statement and balance sheet from the financial statements of PT. Gowa Makassar Tourism Development Tbk. 2017 to 2021. The data collection technique used is Documentation. Data analysis techniques are used to assess, identify, and explain the possibility of bankruptcy. The results of this study indicate the analysis of the level of bankruptcy of the modified Altman Z-score model of PT. Gowa Makassar Tourism Development TBK. the 2017-2021 period is categorized as being in good health or not bankrupt.