Abstract:This study aims to analyze the influence of Instagram Content and Posting Frequency on Purchase Intention at Coffee Shop Elsana Pontianak. This research uses an associative quantitative approach. The research sample amounted…
nted to 150 respondents who were consumers of Coffee Shop Elsana Pontianak and followed the related Instagram account. Data collection was carried out through the distribution of questionnaires using a 5-point Likert scale. Data analysis was conducted using multiple linear regression with the assistance of SPSS version 26 through validity tests, reliability tests, classical assumption tests, correlation coefficient analysis, coefficient of determination, and hypothesis testing using t-tests and F-tests. The results of the study indicate that all research instruments are valid and reliable. Partially, Instagram Content has a positive and significant effect on Purchase Intention with a t-value of 7.273 and a significance of 0.000. Posting Frequency has a positive and significant effect on Purchase Intention with a t-value of 3.970 and a significance of 0.000. Simultaneously, Instagram Content and Posting Frequency have a significant effect on Purchase Intention with an F-value of 82.834 and a significance of 0.000. The coefficient of determination (R²) value of 0.530 indicates that 53.0% of Purchase Intention can be explained by Instagram Content and Posting Frequency, while the remaining 47.0% is influenced by other factors outside the study.
Abstract:This study aims to analyze the influence of Price and Social Media Marketing on the Decision to Use GrabFood in Pontianak City. This study employed an associative quantitative approach. The sample consisted of 100 respondents…
dents who were residents of Pontianak City, owned the Grab application, and had used GrabFood services. The main data were collected through questionnaires using a 5-point Likert scale, while observation, interviews, and secondary data were used as supporting data. The data were analyzed using multiple linear regression, supported by validity tests, reliability tests, classical assumption tests, correlation coefficient analysis, coefficient of determination, and hypothesis testing through t-tests and F-tests. The results show that all research instruments were valid and reliable. Partially, Price has a positive and significant effect on the Decision to Use, with a t-value of 4.069 and a significance value of 0.000. Social Media Marketing also has a positive and significant effect on the Decision to Use, with a t-value of 3.946 and a significance value of 0.000. Simultaneously, Price and Social Media Marketing have a significant effect on the Decision to Use, with an F-value of 28.950 and a significance value of 0.000. The coefficient of determination (R²) of 0.374 indicates that 37.4% of the Decision to Use GrabFood can be explained by Price and Social Media Marketing, while the remaining 62.6% is influenced by other factors outside this study.
Abstract:This study aims to analyze the effect of government financial report accountability on the achievement of Sustainable Development Goals (SDGs) 1 in Indonesia. The study used secondary data obtained from the Central Statistics…
stics Agency (BPS) and the Supreme Audit Agency (BPK). The study sample consisted of 456 local governments with an observation period of 2021–2022, resulting in 912 observations. The analytical method used was panel data regression with the Generalized Least Squares (GLS) approach and the Random Effects Model (REM). The results showed that government financial report accountability has a positive and significant effect on the achievement of SDG 1. The coefficient value of 0.645 with a significance level of 0.000 indicates that the better the level of local government accountability, the higher the achievement of poverty alleviation. This study proves that transparent, accountable, and effective financial governance can support the success of government programs in improving public welfare and accelerating the achievement of sustainable development in Indonesia.
Abstract:This study analyzes the financial condition of the Osseda Faolala Perempuan Nias Consumer Cooperative during the period January 2021–December 2024, focusing on the management of current assets, short-term liabilities, and…
and the repayment rate of member loans. Data were processed using descriptive statistics and simple linear regression to assess the cooperative's financial balance and factors influencing business growth. The classical assumption test showed that the regression model met the feasibility criteria, both in terms of normality and autocorrelation, thus the analysis results were reliable. The t-test results proved that working capital had a positive and significant effect on cooperative business growth with a significance value <0.05. The coefficient of determination (R² = 0.887) confirmed that 88.7% of the variation in business growth was explained by working capital management. This means that the more optimal the management of working capital—including current assets, short-term liabilities, and member loans—the higher the cooperative's chances of growth and development. In addition to strengthening the existing literature, this study is consistent with the findings of Winata et al. (2023) on manufacturing companies and Herawati (2023) on savings and loan cooperatives, both demonstrated the importance of working capital management to financial performance. However, these results differ from the research of Rezki Erdian et al. (2022) on the retail sector, which found that receivables had no significant effect on profitability. This difference indicates that the relevance of working capital is highly dependent on the institutional context. Overall, this study confirms that optimal working capital management is not merely an administrative issue, but a strategic factor determining cooperative business growth and improving welfare. member.
Abstract:This study aims to determine the Effect of Raw Material Inventory Management on Work Productivity of PT. KSS (Karunia Sejahtera Sejati) Nias Branch. The research method used is a quantitative approach. The sample in this…
study amounted to 31 respondents. Data collection techniques were carried out through the distribution of questionnaires and documentation. Data analysis techniques used simple linear regression analysis, classical assumption tests, coefficient of determination tests and t-tests with the help of the SPSS version 25 statistical application. The R2 Determination Test that has been carried out obtained the result that the R2 value is 0.620. This shows that the Raw Material Inventory Management variable (X) can explain Work Productivity (Y) by 62%, while the remaining 38% is explained by other factors not covered in this study. Based on the data analysis, it shows that simultaneously the Raw Material Inventory Management variable has a positive and significant effect on Work Productivity with a significance of 0.000 <0.05 and the T-value obtained is 6.877> 1.696 so that it can be concluded that Ha is accepted and has an effect on the dependent variable of Work Productivity (Y). The conclusion of this study is that the Raw Material Inventory Management variable partially or simultaneously has an effect on Work Productivity and it is recommended that PT. KSS (Karunia Sejahtera Sejati) provide increased competency and understanding of employees regarding inventory management that is very necessary so that they are able to carry out their tasks more efficiently and effectively, so that work productivity increases. Periodic training and socialization regarding inventory management and its relationship to work productivity must continue to be carried out.
Abstract:This study investigates the impact of job preferences on self-perceived employability (SPE) among university graduates in Bandung, Indonesia. Unemployment in Indonesia, particularly among fresh graduates, has highlighted…
structural issues in the labor market, including skill mismatches and insufficient job creation. Job preferences, including factors such as salary, work-life balance, and career development, are crucial in determining an individual’s ability to secure desirable employment. This research, based on a sample of 280 graduates from various universities, reveals that well-defined and realistic job preferences positively influence SPE. The analysis shows a significant and strong relationship between job preferences and employability, with a high path coefficient (0.986) and a T-statistics value far exceeding the significance threshold. The results highlight the importance of aligning personal career goals with market demands, enhancing individuals’ self-confidence in their employability. Educational institutions also play a key role in shaping job preferences and employability by providing skills that match labor market needs. The study underscores the need for better integration between education and industry to improve graduates’ market readiness. Universities in Bandung should integrate skill training aligned with labor market demands, career guidance, industry trend seminars, and job search strategies to ensure graduates possess relevant preferences and skills for the workforce. This study employed the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method to analyze the factors influencing graduate employability preferences. As a recommendation, higher education institutions and policymakers should emphasize industry collaboration and adopt policies that enhance graduates’ readiness for the evolving job market.
Abstract:In the era of globalization and increasingly intense competition, the management of Human Resources (HR) has become a crucial factor for ensuring company sustainability and growth. This study aims to explore the impact of…
f HR optimization on a company's financial health using a qualitative approach. Employing a case study methodology, the research analyzes companies that have successfully implemented effective HR strategies, including employee development, competitive compensation policies, performance management, and wellness programs. Data was collected through in-depth interviews with HR managers, executives, and employees, as well as internal document analysis and direct workplace observation. The findings indicate that effective HR practices can reduce costs, enhance productivity, and lower turnover rates, all contributing to improved financial performance. The results support Wright and McMahan's (2011) theory that effective HR management acts as an enabler for achieving competitive advantage. The study also aligns with Huselid’s (1995) research, which highlights the importance of competitive compensation policies in boosting productivity and financial health. This research underscores the significance of aligning HR strategies with financial goals and adopting best practices in HR management to improve operational efficiency and achieve sustainable financial objectives.
Abstract:This research aims to analyze and determine the effect of digitalization of payment transactions on regional spending in Mamasa Regency. This research is quantitative research using primary and secondary data sources. The…
e primary data source is the results of interviews with Mamasa Regional Government employees who were the research samples where the sample collection method was purposive sampling. Secondary data consists of PAD and regional expenditure data for the last three years as well as other supporting documents. The data collection method is carried out through the following stages: Questionnaire and Interview. The collected data can be analyzed quantitatively using descriptive or inferential statistics to test hypotheses. Analysis of this research data uses regression techniques, namely simple linear analysis. Hypothesis testing is carried out to see the level of significance of the influence of the independent variable on the dependent variable. The research results show that there is a significant positive influence of digitalization of payment transactions on regional spending in Mamasa district.
Abstract:Competence and work discipline are seen as important factors for improving the performance of educational staff in higher education. The purpose of this study was to determine the effect of work competence and discipline…
on the performance of educational staff at the Main Office of Makassar State University. Data collection using a questionnaire to 132 respondents. At the 0.05 significance level, the results of multiple linear regression analysis prove that competence and work discipline have an effect on the performance of educational staff. These results indicate that competence and work discipline are explanatory factors that can encourage educational staff to achieve the expected performance. The results of this study are expected to provide an understanding of human behavior in organizations, so that it can be useful for self-development and the ability of educational staff to achieve the expected performance.
Abstract:Inflation is a fundamental measure of macroeconomic stability that negatively impacts the nation's economy and affects many other macroeconomic variables. Thus, in this study, the major objective was based on modeling and…
d forecasting inflation in Ethiopia and its components using a VAR model. The analysis was based on annual data from 1992 to 2021, encompassing 30 years. The results indicated that all five series were non-stationary at the level but stationary after their first differencing at a 5% level of significance. Johansen's cointegration tests were conducted. The results indicated the presence of at least one co-integration relationship between the variables. The Vector Error Correction Model (VECM) was fitted to model short run and long run relationships among inflation and other macro-econometric series such as GDP growth, government expenditure, money supply, and imports, and the result indicated that the coefficient of error correction term is negative (-0.279), which indicated that the fitted VECM model continues to move toward long run equilibrium and converges. Granger causality tests were employed to explore potential causal relationships. Impulse response analysis and variance decomposition were used to determine the short-run interactions among the variables. Finally, using the fitted model, out-of-sample forecasts were produced, yielding forecasted plots and values for the endogenous variables. According to the forecasted inflation rates for the next five years, prices are projected to decrease by approximately 18.0% in 2022, 6.8% in 2023, and then increase by approximately 8.3% in 2024. Subsequently, prices are expected to decrease by approximately 2% in 2025 and 5% in 2026 over the specified time periods.