Abstract:This study purpose to support the Indonesia’s government program to become a developed and prosperous country. The sample for this study the millennial generation and Z generation who live Makassar City and have total wealth…
l wealth or investment around IDR 70 million. We use this generations because the next generation has an important role to build and develop the finance sector in Indonesia and will support to become a developed country. The results show that financial literacy, income and financial behavior significantly positive with investment decisions. It is mean that good financial literacy, higher income, and the well financial behaviour will improve the quality of investment decisions.
Abstract:This research was conducted with the aim of knowing, analyzing, and testing the effect of profitability, liquidity, solvency, and activity on the value of manufacturing companies in the food and beverage sub-sector listed…
d on the Indonesia Stock Exchange for the 2018-2022 period. Profitability is measured by Return on Equity, liquidity is measured by the Current Ratio, solvency is measured by the Debt to Equity Ratio, and activity is measured by Total Asset Turnover. This study uses a type of quantitative research with a comparative causal approach. The population used in this study were 30 food and beverage sub-sector companies listed on the Indonesia Stock Exchange for the 2018-2022 period. The research sample was taken using a purposive sampling technique. so that a sample of 11 food and beverage sub-sector companies were obtained which were listed on the Indonesia Stock Exchange for the 2018-2022 period. The analytical method used is multiple linear regression analysis using the SPSS version 21 program. The results of this study state that profitability has a positive and significant effect on firm value. Solvability has a positive and insignificant effect on firm value. liquidity and activity have a negative and insignificant effect on firm value.
Abstract:The purpose of this study was to determine the effect of sales promotions and brand awareness on purchasing decisions for Iconnet at PT. Icon+ in Makassar City. The population in this study are Iconnet customers. Sampling…
g in this study used the slovin formula so that 96 respondents were sampled. The type of research used is associative research. The data used is primary data obtained by distributing questionnaires to customers. The results of the study after being processed with SPSS 25 show that there is a partially significant effect between the independent variables on the dependent variable as evidenced by the t value of the sales promotion variable (X1) of 7.015 > t table of 1.661 with a sig. 0.000 < 0.05, and the calculated t value of the brand awareness variable (X2) is 2.873 > t table 1.661 with a significant value of 0.005 <0.05. Simultaneously there is a significant effect between the independent variable on the dependent variable as evidenced by the multiple linear regression equation Y = 4.565 + 0.302 X1 + 0.155 X2 +e and the significant effect of F count 41.345 > F table 3.094 with a significant level of 0.00 <0.05 The R Square value or the coefficient of determination of 0.471 indicates that 47.1% of the purchasing decision variable (Y) is influenced or can be explained by the independent variables of sales promotion and brand awareness, while the remaining 52.9% is explained by other variables not included in the this research. Based on this description.
Abstract:The goal of this study is to ascertain how the level of service at Cafe Banua Coffee in Makassar City affects customer satisfaction. The research method utilized in this file is a quantitative research approach with an associative…
ssociative research type. This study found that service quality has an impact on customer satisfaction at Café Banua Coffee in Makassar city. Quantitative research is a research method based on the positivist philosophy, used to examine specific populations or samples. Data collection uses research instruments, and data analysis is quantitative in nature with the aim of testing predetermined hypotheses. This suggests that the business might raise client happiness by enhancing the caliber of services offered.
Abstract:Advances in technology such as the presence of social media require companies to be able to adjust in carrying out their activities such as marketing using influencer marketing. This study aims to determine the effect of…
influencer marketing on purchasing decisions for the Makassar branch of Chaca Burgo. This research uses qualitative methods by conducting observations, questionnaires, and interviews. Data were analyzed using a simple linear regression analysis method that used SPSS data processing results to prove the hypothesis. The results showed that the influencer marketing variable had a positive and significant effect on the purchasing decision variable. So that the better influencer marketing is in carrying out promotions, the purchasing decisions by consumers will increase.
Abstract:Measuring portfolio performance cannot only be seen from the returns, but also must pay attention to the risks that investors will bear. Measuring the performance of a stock portfolio can be facilitated by using a proxy,…
namely LQ 45 shares, which are liquid stocks with high market capitalization, have high trading frequency, have good growth prospects and financial conditions, are not volatile and have been objectively selected by the IDX and are stocks. which is safe to own because the fundamental performance of these stocks is good, so that from a risk perspective the LQ 45 stock group has the lowest risk compared to other stocks. The research objective was to determine portfolio performance assessment using the Jensen method, a case study of the LQ45 index on the Indonesian stock exchange for the 2019-2022 period. The population in this study is LQ45 index shares on the Indonesian stock exchange for the 2019-2022 period based on a purposive sampling technique. Data collection is documentation and literature study. The data analysis that will be used in this study is by using the Microsoft Excel 2010 application program to form an optimal portfolio using the Single index model and to assess the performance of a stock portfolio using the Jensen index method. the results of portfolio performance analysis of Jensen's Alpha LQ45 index optimal stocks and obtaining an average RVOR value of 0.0207 or 2.07%.
Abstract:This study aims to determine the effect of motivation on employee performance at the Department of Trade and Industry of Gowa Regency. The population in this study were all employees at the Department of Trade and Industry…
ry of Gowa Regency, totaling 40 people. The number of samples used is the entire population because there are less than 100 people, namely the type of saturated cover, with this type of quantitative research. The data used are primary data and secondary data obtained using a questionnaire distribution technique. The results of the research after being processed with SPSS.21 Based on the results of the research it shows that motivation (X) has a coefficient value of 0.841 and t_count > t_table (3.385 > 2.026) and the value of Sig. of 0.002 <0.05, which means that motivation has a positive and significant effect on employee performance.
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: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.