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Micro, Small and Medium Enterprises (MSMEs) have an important role in the Indonesian economy, especially in facing economic crises such as the 1998 monetary crisis and the COVID-19 pandemic. MSMEs are at the forefront in creating jobs and contributing to economic growth, even though they face various challenges, including capital problems. This research uses a qualitative approach with a case study type. This research uses primary data collected from interviews with the owner of Pajeng Cokelat. Pajeng Cokelat is a micro business located in Blitar and makes various kinds of processed chocolate to be used as snacks. The owner of Pajeng Cokelat is active in participating in training activities aimed at improving skills both related to marketing and the products produced. The results of this research highlight the government's efforts to overcome capital problems through programs such as People's Business Credit (KUR) and business training. However, increasing financial literacy is needed, especially in the context of sharia finance, to support the sustainable growth of MSMEs. By overcoming these challenges, MSMEs can continue to play a role in driving the national economy.

The assignment problem discusses the problem of creating maximum sales, CV Surya Pelangi assigns its selected employees to enter the target market. CV Surya Pelangi has problems allocating its employees to the target market that has been determined. Before allocating its employees, CV Surya Pelangi has conducted training first. The income data of each employee in these markets is in (thousands) during training, therefore it is necessary to solve the employee allocation problem. The method used in this study is the Hungarian Method, with a focus on the maximization approach. The Hungarian method is known to be effective in solving assignment problems where there are similarities in the number of employees and allocations, and the goal is to optimize the allocation. In this case, maximization means finding a combination of assignments that produce the highest total profit value.

This paper discusses the methodologies for balanced transportation problems and their solutions, focusing on efficient and cost-effective distribution of goods from multiple sources to various destinations. The study highlights the importance of maintaining supply and demand balance and explores systematic approaches such as initial solution methods—North-West Corner, Least Cost, and Vogel Approximation Method—and the optimal solution technique, Stepping Stone. An illustrative case involving a company with multiple factories and markets demonstrates the application of these methods, resulting in minimized transportation costs. Additionally, the process of fertilizer allocation and cost analysis is examined, emphasizing the use of the Stepping Stone method to achieve cost minimization. The findings underscore the effectiveness of combining initial heuristics with iterative optimization to attain optimal transportation solutions, thereby enhancing logistical efficiency and reducing operational expenses.