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Business competition in the agribusiness sector demands that every entrepreneur formulates and implements effective marketing strategies to maintain consumer loyalty and increase sales. This study was conducted at UD. Dua Putra Nganjuk with the objective of analyzing the influence of social media, price, and product quality on consumers' purchasing decisions specifically for corn ose products. The research population consisted of 140 consumers, and the sample size was determined to be 84 respondents using a purposive sampling technique, targeting individuals who had made purchases and met specific criteria relevant to the study. A quantitative research approach was adopted, with data collected through a structured questionnaire. Data analysis was conducted using SPSS software, and included validity and reliability tests, classical assumption testing, multiple linear regression analysis, t-tests, F-tests, and calculation of the coefficient of determination (R²). The results showed that all three independent variables—social media, price, and product quality—had a positive and significant effect on purchasing decisions, with respective significance values of 0.006, 0.001, and 0.009. Furthermore, the F-test confirmed a simultaneous significant influence, with an F-statistic value of 534.263 and a significance level of 0.000. The coefficient of determination (R²) was found to be 0.952, indicating that 95.2% of the variation in purchasing decisions is explained by these three variables. The remaining 4.8% is attributed to other factors not examined in this study.

The Hungarian method is a mathematical optimization algorithm used to solve assignment problems by finding the optimal allocation of resources to tasks. This research examines the application of the Hungarian method for both balanced and unbalanced maximization assignment problems. The balanced assignment problem involves an equal number of workers and jobs, while the unbalanced problem deals with unequal numbers. The study aims to analyze the effectiveness of the Hungarian method in solving maximization problems through mathematical modeling and algorithmic implementation. The research methodology includes literature review, mathematical analysis, and computational testing using various case scenarios. Results demonstrate that the Hungarian method can effectively solve both balanced and unbalanced maximization assignment problems by converting them into minimization problems through matrix transformation. The balanced cases show direct application of the classical Hungarian algorithm, while unbalanced cases require the addition of dummy variables to achieve matrix balance. The method proves to be efficient with polynomial time complexity O(n³), making it suitable for real-world applications. The research concludes that the Hungarian method provides optimal solutions for resource allocation problems in various organizational contexts, contributing to improved operational efficiency and cost-effectiveness in decision-making processes.  

This research aims to determine the HR information system on employee performance through employee work evaluation. This research was conducted within the scope of the Tojo Una - Una Regency Regional Work Unit. The research method used is quantitative with a survey approach. Basic data was collected through distributing questionnaires to a total of 97 research samples. The data analysis technique used is SEM-PLS Structural Equality Modeling. The results of this research show that the HR information system has a positive and significant effect on employee performance through job evaluation. Thus, the conclusion that can be drawn from this study is: to increase the influence of the HR information system on employee performance through job evaluation, by following all procedures and regional regulations by paying attention to the stages that have been implemented by the SKPD.

This research explores the management of management information systems at Jomelo Cosmetic Shop on Bukit Kaminting Induk Street, Palangka Raya City using qualitative methods and a holistic approach. Data were collected through observation, interviews, and documentation. The study discovered that the deployment of a management information system has a significant impact on the efficacy of the organization's data source system, with 100% of respondents stating that SIM helps improve operational efficiency and decision-making. In the study, one hundred percent of respondents stated that SIM improves operational efficiency and decision-making processes, which shows how important the implementation of a management information system  is to improve the performance of enterprise data source systems. The study recommends several measures to improve the effectiveness and efficiency of  management information system, such as increasing staff training on the use of SIM (80% of respondents agreed), monitoring and evaluating SIM performance regularly (75% of respondents agreed) and optimizing the use of information technology to support SIM (65% of respondents agreed). This study also recommends several steps to improve product information for customers, such as providing more complete product information on the store website (90% of respondents agreed), utilizing social media to promote products (85% of respondents agreed), and training store staff to provide proper product information (70% of respondents agreed The findings of this study indicate that Jomelo Cosmetic Shop can improve its competitiveness and quality of service to customers by implementing best practices in information systems management. This is expected to improve operational efficiency and better delivery of product information to customers.