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:Appraisal of a company's performance can be seen both through financial and non-financial aspects. This study specifically measures financial performance by focusing on DuPont System analysis. The DuPont system divides performance…
erformance into three components, namely net profit margin, rate of return on assets, and rate of return on equity/capital. However, in this study, only two components of the DuPont System were used, namely return on assets and net profit margin. This type of research is quantitative research with a descriptive approach. The data analyzed comes from the financial reports at PT. State Savings Bank (PERSERO) Tbk specifically in the statement of financial position and annual comprehensive income statement ending December 31 2019 to December 31 2021. The results of the study show that Bank BTN has low financial performance. Judging from the total ROA generated each year, it cannot reach the standard set by Bank Indonesia. Even though it has a low ROA value, Bank BTN is able to increase ROA from year to year.
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: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 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 is to analyze the effect of the Federal Funds Rate before and during the Covid-19 pandemic on economic stability in five developing countries in the Southeast Asian region which are members of an…
n economic and geopolitical organization, namely the Association of Southeast Nations (ASEAN) to see short-term relationships. and long-term during that period. The indicators of economic stability used are the benchmark interest rate for deposits, the reference interest rate for loans, the balance of payments which includes exports and imports, inflation, exchange rates, and the money supply. In this study, the method used was the quantitative method and the data obtained was secondary data sourced from International Financial Statistics (IFS) from January 2015 to December 2022 which used the Vector Error Correction Model (VECM) approach in the Eviews 9 application. The results found indicated that in the long run, the existence of FFR volatility has a positive effect on the Deposit and Export Reference Rates. While those that have a negative effect are Loan Reference Rates, Imports, Exchange Rate Inflation, and Money Supply. In the short term, the existence of the FFR interest rate has a positive effect on the Reference Rates for Deposits, Imports, and Inflation. While those that have a negative effect are Loan Reference Rates, Exports, Exchange Rates, and Money Supply
Abstract:This research is to determine the level of investment risk and stock returns as well as grouping efficient shares and inefficient shares of coal mining companies through the Capital Asset Pricing Model (CAPM) method for…
the 2019-2021 period. The research method used is descriptive method with a quantitative approach, while the data analysis method uses the Capital Asset Pricing Model (CAPM) method. The results showed that there were 8 shares of coal mining companies with a beta (systematic risk) value of greater than 1 (β > 1), and 16 shares of companies with a beta of less than 1 (β < 1. The highest RI was found in HRUM shares with a rate of return of 0.07650 or 7.65%, while the lowest Ri is found in BOSS shares with an average rate of return of -0.06000 or - 6%. The highest E(Ri) value is found in DOID shares with a value of 0.00177 or 0.18%, while the lowest E(Ri) is found in GEMS companies with a value of 0.00126 or 0.13%. There are 16 shares of coal mining companies which are classified as efficient shares consisting of shares of ADRO, BSSR, BYAN, DOID, DSSA, FIRE, GEMS, iHRUM, INDY, iITMG, MBAP, MYOH, iPTRO, SMMT, iTOBA, and BRMS, as well as 8 inefficient stocks namely ARII, BOSS, BUMI, DEWA, GTBO, KKGI, PTBA, and SMRU.
Abstract:The purpose of this study is to investigate the effects of organizational and family support on work stress among female employees at KSPPS Tunas Artha Mandiri, as well as to examine the role of burnout as a mediator between…
ween these variables. The study aims to provide a better understanding of the factors that influence work stress among female workers, in order to provide recommendations for improving employee well-being and company productivity. The population of the study consists of 641 female employees in the company. The method used is a quantitative approach and path analysis. The results show that organizational support has a negative and significant effect on burnout, while family support has a positive and significant effect on burnout. Both organizational and family support have a negative and significant effect on work stress. Burnout has a positive and significant effect on work stress but does not mediate the effects of organizational and family support on work stress
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.