Abstract:This study aims to analyze the determinants of rupiah exchange rate volatility and its impact on Indonesia's oil and gas imports. The variables observed in this study are economic growth, interest rates, inflation, rupiah…
h exchange rate volatility and Indonesia's oil and gas imports. All data used in this study are secondary data obtained from 2005 to 2019 time series recordings obtained from the Central Bureau of Statistics, Investing.com and Bank Indonesia. Data were analyzed using the two-stage least squares (2SLS) method in the IBM SPSS Statistics application 23. Based on the analysis results, economic growth was found to have a positive effect and interest rates had a positive effect. negative and significant impact on oil and gas imports due to fluctuations in the rupee exchange rate. Although inflation is negatively correlated, there is no significant impact on oil and gas imports through fluctuations in the rupee exchange rate.
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 purpose of this study was to determine the effect of Job Satisfaction and Compensation on Turnover Intention at PT Hadji Kalla Urip Sumoharjo Branch, Panakkukang District, Makassar City, the subjects in this study were…
re 51 employees working at PT Hadji Kalla Urip Sumoharjo Branch. This research is included in quantitative research and quantitative analysis to test the research hypothesis using the IMB SPSS version 25 software. The results of this study indicate that job satisfaction has a negative and significant effect on turnover intention. This is evidenced by the t value of -3.055 where <t table (2.00958) and a significance value of 0.004 <0.05. The results of the study show that compensation has no significant effect on turnover intention. This is evidenced by the t value of 0.615 < t table (2.00958) and a significance value of 0.541 > 0.05. The results of the study show that job satisfaction and compensation have a simultaneous effect on turnover intention. This is evidenced by the calculated F value of 11.859 > 3.19 and a significance value of 0.001 <0.05.
Abstract:The primary objective of this research is to examine and assess the impact of work dicipline and organizational commitment on employee performance. In an endeavor to enhance individual and group employee performance, specific…
cific standards of responsibility have been instituted for each individual in the execution of their duties. Typically, employees exhibiting a high level of competence in their roles suggest that their success in the work environment has been optimized. Consequently, this study was conducted to elucidate the interrelations between work motivation, job satisfaction, organizational commitment, and employee performance within the context of the Regional Drinking Water Company of Makassar City (PDAM Makassar City).The research involved the collection of data from 107 employees of the Makassar City Regional Drinking Water Company to empirically test the proposed research model, utilizing WarpPLS 7.0 modeling software. The findings of the study reveal that there is a statistically significant influence of organizational commitment and work discipline, both individually and collectively, on job satisfaction and employee performance. Additionally, a discernible impact of job satisfaction on employee performance was identified, and an indirect influence of organizational commitment and work discipline variables on performance was observed through their impact on job satisfaction
Abstract:This study aims to (1) find out the composition of shares that can be formed into an optimal portfolio of IDX High Dividend 20 shares listed on the IDX for the period 2019 - 2022 using the single index model. (2) Knowing…
the proportion of funds that must be invested in each of the IDX High Dividend 20 shares listed on the IDX for the 2019 - 2022 period which forms a portfolio. (3) Knowing the amount of return and risk from the optimal IDX High Dividend 20 portfolio recorded on the IDX for the period 2019 - 2022 using the single index model. The sample of this research is 29 company shares selected based on purposive sampling technique. Data collection techniques are carried out with documentation. Data analysis technique uses a single index model.
The results of this study indicate that there are 12 company shares included in the optimal portfolio, namely ADRO of 11.9%, BBCA of 8.7%, BBRI of 2.5%, BMRI of 13.1%, LPPF of 3.5%, ITMG of 11.3%, PTBA of 0.6% , TOWR 0.5%, DMAS 2.2%, ANTM 14.5%, HEXA 25.3%, and MPMX 5.9%. The expected return that investors get from the optimal portfolio formed is 0.0279 or 2.79% per month. The portfolio risk borne by the investor on investment from the optimal portfolio is (portfolio variance of 0.0144 or 1.44% and a standard deviation of 0.12 or 12% per month.
Abstract:This study aims to determine the effect of motivation and work environment on employee performance at the Department of Trade and Industry of Gowa Regency. The population in this study were all employees at the Department…
t of Trade and Industry 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 (X1) has a positive and significant effect on employee performance. work environment (X2) has an effect on employee performance, and in terms of positive influence it also has a significant impact. And together motivation and work environment affect employee performance.
Abstract:The purpose of this research is to analyze the direct and indirect relationship between green perceived quality, green perceived value, green perceived risk, green purchase intention, and green purchase behavior. This study…
udy examines the mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is included in the mixed method research where both quantitative and qualitative are used. The research method used in this research is an unbalanced mixed method (concurrent embedded design) conducted on farmers in Mulyoagung Village. The research sample was taken using the quota sampling method with the sample size calculator as the method for determining the number of samples. Data collection was carried out online through a questionnaire form for 2 months on 219 farmers in Mulyoagung Village. Data analysis in this study used SEM-PLS assisted by SmartPLS 3.3.3 software. as well as for qualitative research using documentation and interviews. The results of the study show that there is a direct and indirect relationship between green perceived quality, green perceived value, green perceived risk, green purchase intention, and green purchase behavior. Not only that, there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants. there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants. there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants).
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: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.