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This study aims to determine the influence of independent variables, namely Promotion, Location, and Product Variation, on the dependent variable, Purchase Decision, at Seduhlur Coffee Kediri. The research method used is quantitative, employing multiple linear regression analysis with the assistance of SPSS version 26 software. The sampling technique applied in this study is incidental sampling, which involves selecting respondents who happen to be present and meet certain criteria at the time the research is conducted. Based on the results of data analysis, it can be concluded that the Promotion variable has a positive and significant partial effect on Purchase Decision. This indicates that the better the promotional strategies carried out, the more likely consumers are to make a purchase. Similarly, the Location variable also shows a positive and significant partial influence, suggesting that the comfort and accessibility of Seduhlur Coffee’s location play an important role in influencing consumer decisions. Product Variation is also found to have a positive and significant partial effect on Purchase Decision, meaning that a greater variety of products offered increases the likelihood of attracting consumer interest. Simultaneously, all three variables — Promotion, Location, and Product Variation — have a significant and positive influence on Purchase Decision. This research is expected to provide useful input for Seduhlur Coffee Kediri in improving its marketing strategies and service quality to encourage and increase consumer purchasing decisions.

PT. Indosato Jaya Makmur is a company engaged in the culinary sector through the operation of a family restaurant called Washoku Sato, which serves authentic Japanese cuisine. The company is committed to maintaining taste quality, hygiene, and production consistency by utilizing mostly locally sourced raw materials. However, the company faces a serious challenge in the form of high employee turnover intention, which can negatively affect operational continuity, team stability, and service quality. This study aims to analyze the influence of workload (X1) and job satisfaction (X2) on turnover intention (Y). A quantitative research approach was employed, with data collected through the distribution of Likert-scale questionnaires to 86 permanent employees as respondents. The data were analyzed using a series of statistical tests, including validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-tests, F-tests, and the coefficient of determination. The findings reveal that workload has a positive and significant effect on turnover intention, indicating that the higher the workload perceived by employees, the greater their tendency to leave the company. Conversely, job satisfaction has a negative and significant effect, suggesting that higher job satisfaction reduces the likelihood of turnover intention. Simultaneously, both independent variables significantly influence turnover intention, with an Adjusted R² value of 35.6%, while the remaining 64.4% is influenced by other factors not examined in this study. These findings emphasize the importance of balanced workload management and continuous efforts to improve job satisfaction in order to minimize turnover intention and support the company’s operational sustainability.

This study investigates the influence of promotion, brand image, and location on purchasing decisions at 3Second Store Kediri. The research employs a quantitative approach using both primary and secondary data sources. The primary data were obtained through the distribution of questionnaires to 309 respondents, while the secondary data were collected via interviews with store supervisors and direct observation at the research site. The variables under examination include promotion, brand image, and location as independent variables, and purchasing decision as the dependent variable. Data analysis involved both partial and simultaneous hypothesis testing to determine the strength and significance of each variable’s effect. The findings reveal that, partially, each of the three independent variables—promotion, brand image, and location—has a significant and positive effect on purchasing decisions. This indicates that improvement in any of these aspects will lead to a higher likelihood of customers making a purchase. Simultaneous testing also demonstrates that the three variables collectively exert a significant and positive influence on purchasing decisions. Among these, promotion emerges as the most dominant factor affecting purchasing decisions, as confirmed through the partial t-test results. The coefficient of determination (R²) is 0.581, which signifies that 58% of the variation in purchasing decisions can be explained by the three examined variables, while the remaining 42% is attributed to other factors not covered in this study, such as product quality, customer service, and pricing strategies. These results suggest that marketing strategies focusing on well-planned promotional activities, maintaining a strong and positive brand image, and choosing a strategic store location can effectively increase customer purchasing decisions. The findings provide valuable insights for retail management, particularly for fashion retail brands like 3Second Store, in developing targeted strategies to optimize sales performance.

This article explores the application of blockchain technology to enhance ethical operations in the food industry. Blockchain is viewed as a potential solution for improving transparency, accountability, and efficiency in the food supply chain. This technology enables the recording of transactions that are immutable and publicly verifiable, reducing the likelihood of fraud and product contamination. Additionally, blockchain can support compliance with ethical and sustainability standards, helping companies build trust with consumers. The study suggests that further research is needed to explore various aspects of blockchain application in the food industry, such as sustainable finance, digital forensics, and supply chain management. However, the article is limited by its focus on bibliometric analysis and lacks empirical data on blockchain implementation in the food industry. Future research should combine theoretical and practical approaches to provide a comprehensive view of blockchain's use in ethical and sustainable business operations.