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MSMEs Traditional culinary MSMEs play a vital role in the Indonesian economy through job creation, income equality, and preservation of local culture. However, limited capital, raw materials, and labor, as well as unsystematic production planning, mean that MSME production decisions are still intuitive, leading to inefficiencies and suboptimal profits. A case study of MSME Sostang Tijang Bruno, a Sundanese cireng producer, shows that cireng production is still based on experience without clear calculations, resulting in a mismatch between production and demand and waste of raw materials. This study aims to optimize cireng production volume using the Graphical Linier Programming method to maximize profits by considering constraints on raw materials, working time, and market capacity. Data were obtained through observation, interviews, and documentation. The decision variables were the production volume of original chicken-filled cireng and spicy chicken-filled cireng. The analysis results showed an optimal production combination of 2.93 kg of original chicken-filled cireng and 0.53 kg of spicy chicken-filled cireng with a maximum profit of Rp499,000 per day. This method is expected to help MSMEs make more efficient and rational production decisions

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 study aims to analyze the optimization of seaweed seedling inventory management using the Economic Order Quantity (EOQ) method to enhance cost efficiency for farmers in Tarakan City. The research employs a quantitative descriptive approach, integrating EOQ with forecasting techniques (Moving Average and Exponential Smoothing) to predict raw material needs accurately. Data were processed using Microsoft Excel and POM-QM for Windows to ensure precision. The results indicate that EOQ yields an optimal order quantity of 878 ropes per order, with a frequency of 6 orders per year, a reorder point of 16 ropes, and a total inventory cost (TIC) of IDR 842,681. Compared to traditional methods (TIC IDR 2,132,083), EOQ reduces costs by 60.5%. Forecasting analysis reveals that Exponential Smoothing (MAPE 19.67%) outperforms Moving Average (MAPE 22.5%) in accuracy. These findings highlight EOQ’s effectiveness in minimizing waste, preventing stockouts, and improving productivity. The study provides practical insights for coastal small-scale farmers and policymakers in the marine sector.

Business transformation in the digital era requires an innovative marketing approach. One way is by utilizing the potential of the internet and information technology. This research focuses on the important role of landing pages in designing online experiences for consumers. The theoretical basis involves the concept of marketing transformation, landing page optimization, and the importance of brand awareness for waste collection services. The methodology used adopts a qualitative approach with a case study in Karung Sampah. Data is collected through observation and analysis using third parties, namely Google Search Console and Google Analytics. It was found that responsive design, relevant content, and social media integration played an important role in the success of the campaign (brand awareness)

This research aims to evaluate the effectiveness of the internal control system for the sale of merchandise at Jazzy Souvenir Store. The approach used is a qualitative descriptive method with the application of data analysis techniques using triangulation. Data collection is carried out through observation, interviews, and documentation. The analysis results indicate that the internal control system for the sale of merchandise at Jazzy Souvenir Store is not yet optimal, as evidenced by the lack of adequate organizational structure and the existence of dual functions in the execution of tasks and responsibilities. Additionally, negligence in inventory recording by store employees leads to discrepancies between the physical inventory of merchandise and the recorded inventory in the system.