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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

Quality control is a crucial aspect in various fields, such as education, the food industry, and manufacturing, as it functions to maintain the consistency of service or product quality. Inaccuracy in managing quality can cause financial losses, damage an institution's reputation, and reduce stakeholder trust. Based on this urgency, this study reviews recent literature to answer the main question of how quality control strategies can be effectively applied in diverse organizations. The review was conducted through a qualitative literature review approach by exploring scientific publications via Google Scholar and the Publish or Perish (PoP) application. Article selection was based on the relevance of keywords related to quality control and was limited to publications from 2020–2025. Out of 24 articles found, filtering was done until 5 of the most relevant articles remained for in-depth analysis. The analysis reveals three main findings. In higher education, a strong internal quality system and a sustainable quality culture are needed. The food industry emphasizes the standardization of raw materials and optimization of production processes. Meanwhile, the manufacturing sector makes extensive use of statistical techniques and tiered inspections. Overall, the effectiveness of quality control requires a combination of technical, managerial, and organizational culture aspects. Future research is recommended to explore the integration of digital technology and sustainability principles in quality control practices.

UD. Indokarya Brass is a company engaged in the brass handicraft industry with its main products being door handles and bells. The main raw materials used in the production process include brass, copper, tin, and aluminum, which are obtained from suppliers both within and outside the city. On average, raw materials are received weekly with quantities of 50–100 kg of brass, 7–10 kg of copper, 10–15 kg of tin, and 3–5 kg of aluminum. In addition, the company also uses additional materials in the form of thinner and epoxy purchased from nearby hardware stores with less frequent purchases, namely 5–10 liters of thinner every month and around 5 kg of epoxy every two months. To date, the company has not had a structured policy for procurement and control of raw material inventory. This condition results in excess inventory of several types of raw materials which actually incurs high costs, both in terms of storage costs and warehouse maintenance costs. This excess inventory ultimately has an impact on reduced efficiency and decreased company profits. This study was conducted to analyze the existing inventory system and compare the company's current policy with a proposed method for more optimal inventory control. The calculation results show that the proposed method is able to provide significant inventory cost savings, namely 83.25% in brass raw materials, 15.28% in copper, 14.6% in tin, 43.37% in aluminum, 4.66% in epoxy, 4.2% in thinner, and 40.7% in other raw materials. Thus, the implementation of the right inventory control method can improve operational efficiency and help companies reduce cost burdens, so that profits can be more optimal.

This study aims to optimize sales profit at the MSME Batagor Bandung Tarakan by applying the Simplex method in linear programming, supported by the POM-QM for Windows software. Profit optimization plays a crucial role in strategic decision-making, particularly in determining the optimal daily production quantities to enhance operational efficiency, maximize the use of raw materials, and meet market demand effectively. The Simplex method was chosen for its ability to solve linear optimization problems involving multiple constraints and variables, providing accurate mathematical solutions to achieve maximum profit. This research utilizes daily production data as the basis for analysis, which is then processed using the Simplex method in POM-QM. The results show that implementing the Simplex method can increase daily profits from IDR 634,000 to IDR 831,408 through a more efficient production combination. The study concludes that the Simplex method, when applied via the POM-QM software, is an effective tool for daily production decision-making and can support MSMEs like Batagor Bandung Tarakan in improving their competitiveness and business sustainability.

Kue cubit lumer is a traditional snack that is increasingly popular in Indonesia, especially among children and teenagers. This cake has a soft texture with a melting center. This study aims to optimize the production of kue cubit lumer using linear programming method with simplex analysis through Microsoft Excel Solver to determine the optimal production quantity of three variants: original, cheese, and chocolate. The calculation results show that the production of 2 pcs of original cubit cake, 4 pcs of cheese, and 4 pcs of chocolate will generate maximum profit of Rp124,000 per day. The simplex method proved effective in solving production optimization problems by maximizing the use of raw materials and increasing profitability. This study provides guidance for businesses to manage production efficiently to meet market demand and significantly increase profits. This study proves that the simplex method is effective in solving production optimization problems to achieve maximum profit.

Optimizing the profit from coffee bean production is crucial in the coffee industry consider the competitive environment and the need for maximize revenue. The aim of this research is to use the Simplex linear programming method to determine and maximize profits from coffee bean production. This technique is used to ascertain the best combination of coffee bean production volumes while still considering a number of limitations, including scarce resources (labor, raw materials and machines) and market demand. The findings of this research show that by using the Simplex approach, companies can maximize the profit generated from coffee bean production while adhering to the existing constraints. The simulation conducted provides an optimal solution in terms of the precise production volume for each type of coffee product, contributing significantly to production planning and business strategy.

This research focuses on optimizing the profits of  UMKM production of banana chips using the simplex linear programming method and the help of POM-QM software. This research aims to find out ways to use profit optimization methods in banana chips MSMEs so that they can find out maximum profits, production costs, income and raw materials used. The method used is a qualitative descriptive method, where the data obtained is more descriptive in nature from the results of interviews and observations that have been carried out and then the data will be analyzed qualitatively. Data collection techniques in this research include the use of primary data and secondary data. Primary data is obtained through observation, interviews, or distribution of questionnaires to relevant sources. Meanwhile, secondary data was obtained through literature searches from books and magazines that were relevant to the research topic. The analysis technique used is linear programming using the simplex method. The research results and discussion show that this function has reached optimal conditions. Therefore, the calculation stops once all the values in the objective function become positive. The result of this solution is the variable value x1 = 6 ; x2 = 2 ; x3 = 0 dan x4 = 0. Increase in profit from the initial value of Rp. 675,000 to reach a maximum profit (Zmaks) of Rp. 900,000, then the difference between profits before and after optimization is IDR. 225,000, and with the help of POM-QM for Windows software calculations become more relevant because this tool helps in completing calculations to achieve maximum profit levels quickly, accurately and efficiently.

The problem that occurs is optimizing products at Sofie Localfood in Palu City to increase production and income. This research uses quantitative descriptive methods, with primary data and secondary data. The data collection techniques used were observation, interviews and documentation. The data analysis used is linear programming using the simplex method. The results of this research show that product optimization analysis at Sofie Localfood in Palu City can provide significant results for developing the local economy and strengthening regional cultural identity. This research highlights the importance of analyzing the optimization of Sofie localfood products in Palu City in the context of local economic development and regional cultural preservation. By using the simplex method, Sofie localfood producers can identify more efficient production strategies in optimizing the company's products.

Rubber latex is a raw material for Indonesia's strategic plantations and is the largest contributor to the country's foreign exchange after palm oil. Several places in Indonesia have land conditions that are suitable for rubber plantations, one of which is the rubber plantation owned by Perumda Perkebunan Kahyangan Jember. However, in recent years, income from Perumda Perkebunan Kahyangan Jember has continued to decline, so it is necessary to formulate an optimization strategy which is expected to have a positive impact and be able to increase rubber latex production in Perumda Perkebunan Kahyangan Jember. This research uses SWOT and QSPM analysis methods. The results of the research show that there are several factors that influence rubber latex production, both internal and external factors, from these factors several alternative strategies have been produced, including the use of protective umbrellas, producing high quality rubber raw materials, improving production facilities and infrastructure, optimizing technology. for production and promotion. A suitable strategy to be implemented at Perumda Perkebunan Kahyangan Jember is the use of protective umbrellas because the application is quite simple and can function to maintain the quality of production and the quality of rubber latex..    

This article aims to optimize the profit of seblak business through the application of Simplex method in linear program. Seblak is a popular business today with a wide variety of toppings such as meatballs, sausages, noodles, feet and many more, but efficient production planning and resource allocation can be challenging. In calculating this profit optimization, we use the Simplex method to identify production combinations that can generate maximum profit by considering various constraints related to raw materials, processing time, production costs to product selling prices. The result is expected to help seblak business owners in making smarter decisions regarding production, inventory, and pricing strategies, thus improving their business profitability.

Company CV. AM Nanda Putra is located in Sidoarjo and operates in the scaffolding industry. Currently the company is experiencing losses due to a lack of optimization in planning the amount and time of ordering raw materials, which results in shortages and excess material inventory. To overcome this problem, the company uses the MRP (Material Requirement Planning) method in optimizing raw material planning. In terms of the lot sizing approach, the company applies the LFL and EOQ methods. The forecasting methods used are Moving Average (MA), Weight Moving Average (WMA), and Exponential Smoothing (ES). The smallest MAD results were obtained using the Exponential Smoothing (ES) method for all scaffolding products. The forecasting results are obtained to determine the MPS (Master Production Schedule) for the next 10 months. After the determination of  MPS, the results of Material Requirement Planning (MRP) were obtained, namely the supply of raw materials for MF 170 AM scaffolding of 35402 units or 17700 sets, MF 170 K1 scaffolding of 28906 units or 14453 sets, MF 190 AM scaffolding of 16250 units or 8125 sets, and MF 190 K1 scaffolding of 7656 units or 3828 sets. From the results of calculating the cost of raw material requirements using the Lot for Lot (LFL) method and the Economic Order Quantity (EOQ) method, it can be seen that the total cost of planning the smallest raw material inventory with an amount of Rp. 12,975,818,022.