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This study aims to analyze the role of inventory management in improving financial efficiency at CV. Sumber Jaya Putra Perkasa. The main problems faced by the company are manual inventory management, technological limitations, dependence on certain suppliers, and suboptimal demand planning, which affect distribution effectiveness and financial efficiency. This study uses a quantitative descriptive approach with data collection techniques through interviews, observation, and documentation. The analysis was conducted on the stock management process, inventory turnover, and its impact on storage costs and operational efficiency. The results show that good inventory management contributes significantly to increased financial efficiency. With proper stock planning, companies can minimize the risk of excess and shortage of goods, reduce storage costs (holding costs), and increase inventory turnover so that working capital can circulate more quickly. However, the inventory management system currently used by CV. Sumber Jaya Putra Perkasa still has limitations, especially in terms of digitization and information integration. This study recommends the implementation of a technology-based inventory management system, a multi-supplier strategy, and the application of demand forecasting methods to improve stock planning accuracy. With this strategy, it is hoped that the company can achieve more optimal financial efficiency and strengthen its competitiveness in the distribution industry.

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.  

For Indonesia, exports have a strategic role as a supporter of the national economy. In addition to being a source of foreign exchange, exports also support job creation, expand the domestic market, and strengthen the domestic industrial structure. One of the root problems that hinders Indonesia's export competitiveness is the low level of innovation in the production and processing sectors. The literature study method or literature review is an analysis technique used to gain a comprehensive understanding of a particular topic by studying and evaluating existing literature, such as journals, books, reports, and other sources relevant to the research topic. In the literature study on the Role of Innovation in Increasing Export Competitiveness. the role of technological innovation in exports is increasingly important considering the structural challenges faced so far, such as low added value of export products, minimal adoption of technology, and weak integration between industry, research, and government policy. Technological innovation plays a strategic role in increasing Indonesia's export competitiveness in the global market.

This study explores the optimization of non-normal assignments utilizing the Hungarian method for both maximization and minimization. The Hungarian algorithm is a combinatorial optimization technique that efficiently solves assignment problems, ensuring optimal allocation of resources. By applying this method to non-normal assignment scenarios, we aim to demonstrate its effectiveness in enhancing productivity and reducing costs in various industries. The findings indicate that the Hungarian method can significantly improve decision-making processes in complex assignment frameworks, leading to more efficient operations.

This study aims to examine the challenges and strategies of Management Study Program students at the State Islamic University of North Sumatra (UINSU) in understanding online lecture materials. The method used is descriptive qualitative with data collection techniques in the form of closed questionnaires distributed to 25 respondents of fourth semester students. The results showed that although there were still technical problems such as unstable internet connections, the majority of students were able to adapt to the online learning system. The most dominant learning strategies used are active and independent strategies, such as reading, taking notes, repeating material, watching learning videos, and managing study time. In addition, group discussions through media such as WhatsApp and Telegram also help clarify understanding of the material. Students also rely on learning materials provided by lecturers through digital platforms (PDF, video, and LMS) as the main source of independent learning. This study concludes that students' success in understanding online lecture materials is strongly influenced by a combination of active learning strategies, group collaboration, and material support provided by lecturers. Therefore, continuous collaboration between students, lecturers, and institutions is needed to create a more effective and inclusive online learning system.

In the current era of globalization, various problems must be faced by organizations, from within and outside the organization. Organizations are required to make strategies to be able to deal with existing problems and be able to serve the public or clients properly and optimally. This study aims to examine the effect of work environment, motivation, and the combined effect of work environment and motivation on employee performance at RSU Bunda Jembrana. This research uses quantitative methodology. The research methodology used in is a quantitative approach. The data sources used are primary and secondary. There is primary data obtained from observation methods, interviews, and questionnaires to respondents. Secondary data sources are data from certain records obtained through journals, modules and books in accordance with this research problem. The sample of this study amounted to 20 participants who worked at RSU Bunda Jembrana. This research data analysis through Validity Test, t test, and f test. The findings of this study show that the work environment has a positive effect on work motivation at RSU Bunda Jembrana, motivation has a positive effect on employee performance, and a positive effect of work environment and motivation on overall employee performance.

This research concludes that the Income Level (TPP) received by workers at retirement is only 10% of the last salary obtained from the mandatory pension program, a decrease in income of 90% of the last salary. The monthly living cost needs of retirees in retirement (food, monthly shopping, water costs - electricity, internet, lifestyle, health insurance, etc.) obtained data of IDR 5,600,000, - or equivalent to 56% of the last salary per month. So in actual terms, the level of retirement income (TPP) of retirees in Indonesia there is a gap of IDR 4,600,000, - or 46% less than the last salary per month. This condition causes retirees to fail to maintain their standard of living in old age, in addition to experiencing financial problems in retirement. Factors that affect the amount of a person's TPP consist of: 1) type of work, 2) pension program participated in, 3) length of service and salary amount, 4) investment return rate from the pension program, 5) government regulations, 6) macroeconomic factors and inflation, 7) health conditions of retirees, 8) family responsibilities, and 9) pension fund education determine the size of the level of retirement income. Optimizing private pension funds plays an important role in increasing TPP as a guarantee of income in retirement and creating financial independence in old age, in addition to improving quality of life. For this reason, private pension funds must be managed more optimally to achieve significant investment performance, improve pension fund literacy, target formal and informal workers, and diversify adequate products and services through digitalization of pension fund access and services to encourage significant growth in private pension fund participation.

This study aims to analyze the review of the goods data management system in the storekeeper section at Harris Hotel & Convention Ciumbuleuit Bandung. This study uses a descriptive quantitative method with the aim of describing the goods data management system in the storekeeper. Primary data was obtained through the distribution of a questionnaire with a Likert scale to 30 respondents. The results of the study show that the goods data management system at Harris Hotel & Convention Ciumbuleit Bandung, it can be concluded that the implementation of the goods data management system, this system has been implemented well, as evidenced by the average value of 4,345 which shows that the system is running well in facilitating various processes, such as stock monitoring, goods data management, and procurement of goods. The use of this system simplifies the process of managing goods efficiently, reduces recording errors, and speeds up the procurement process. The obstacles faced are that even though this system has run well, there are several obstacles in its implementation, such as data input errors, limited human resources, limited technological infrastructure, difficulties in adapting to system changes, and data security problems. In an effort to overcome the obstacles faced, strategic steps are needed such as providing regular training to system users in order to minimize data input errors, increase and improve the competence of the human resources involved, and strengthen the technology infrastructure with more adequate devices and networks.

This study explains about transportation methods which are part of operations research and involve minimizing costs from source to destination. Solving transportation problems in this case uses an applied method approach. The application integrated into field research is that researchers are directly in the company environment to collect data that will be applied in this study. The purpose of this study is to determine the results of product distribution calculations. The results of this study are that the most expensive product distribution calculation is at 500,000. Meanwhile, the results of the most expensive product distribution calculation are at 100,000. Cost optimization has an impact on the level of cost efficiency incurred by UD Manunggal Jaya.