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 influence of the solvency ratio has an influence on the ratio at PT. Unilever Tbk for the 2014-2022 quarter, the data in this study are secondary data for 32 samples. The methods used to…
analyze the relationship between variables are descriptive analysis, classical assumption test, multiple linear regression and hypothesis testing. The findings in this study show that partially the solvency ratio has no effect on the solvency ratio. It is also known that the solvency ratio does not have a significant effect on changes in earnings
Abstract:This study aims to assess and analyze whether the marketing strategy STP (Segmentation, targets, and position) to the level of sales has been implemented by Upnormal Coffee Beach in Palu which has reached more than one year…
ear (2021- 2022). This type of research is quantitative descriptive. The population in this study were all employees of Upnormal Coffee while the sample of this research is all employees of Upnormal Coffee as many as 36 employees as respondents using saturation sampling, the sampling technique when all members of the population were used as a sample. The data collection techniques were performed by means of a questionnaire conducted interviews and questionnaires. Based on the results of this study with multiple linear regression analysis, regression equation Y = 8,944+ 0.164 X1 + 0.061 X2 + 0,032 X3 + e. Basedonn statistical analysis data, the indicators in this study is valid and the variables are reliable. In the classical assumption, in said that indicator otherwise normal distribution and correlation Linear in significance between each independent variable and the dependent variable, to the amount of influence Segmentation, Targeting and Positioning are all having a positive direction and not significant in their influence on the level of sales in Upnormal Coffee in the city of PaluÂ
Abstract:This study aims to find out information related to the implementation of Marketing Audit in the Yotta beverage business in Makassar. In a marketing audit examination it can be said as a mechanism with the aim of being able…
le to carry out the process of collecting information and being able to analyze data related to the external and internal environment, which is inseparable from several indicators including economic conditions, the level of market competition and the level of business operations. The application of marketing audits is a type of functional marketing audit in the Yotta beverage business with components including marketing environment audits, marketing strategy audits, marketing organization audits, marketing system audits, marketing productivity audits, marketing function audits. The method used in this research uses quantitative research methods with the data used obtained using questionnaires and library data. The results of this study indicate that the marketing audit components of Yotta's beverage business consist of marketing environment audits, marketing strategy audits, marketing organization audits, marketing system audits, marketing productivity audits, marketing function audits play a very important role.
Abstract:This study aims to determine the effect of lifestyle and self-concept on consumptive behavior in students of the Faculty of Economics, Makassar State University. The population in this study were 2757 students of the Faculty…
ulty of Economics, Makassar State University and a sample of 96 students was drawn. This study uses a type of quantitative research with a regression approach. Data collection techniques were carried out by observation, interviews, documentation and distributing questionnaires (questionnaires). The analysis technique used is multiple linear regression. The results showed that partially, the lifestyle variable (X1) had a positive effect on consumptive behavior (Y) with a value of T count (5.732) > T table (1.985) and the self-concept variable (X2) had a positive effect on consumptive behavior (Y) with a value of T count (3.085) > T table (1.985), while simultaneously the lifestyle variable (X1) and self-concept (X2) had a positive effect on consumptive behavior (Y) with a value of F count (51.087) > F table (3.10).
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: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: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.