As competition in the processed food industry becomes increasingly fierce, it is important for producers to determine the optimal production combination to maximize profits. This study aims to determine whether the products produced can provide maximum profit from noodle sales and to determine what variables inhibit the optimum value in the noodle processed product business so that mathematical modeling can be made using the simplex method linear program. Processed noodle products are businesses engaged in the culinary field, namely food made from various ingredients, with the main ingredients of tapioca flour and wheat flour. only the basic ingredients are different. As for complementary ingredients such as sauces and spices, it becomes a problem if one of these ingredients is not met, then production in the noodle business will be hampered. The results of the study show that the strategy that can be applied by producers is to ensure a sustainable supply of complementary ingredients, optimize the use of main raw materials, and prioritize products with the highest profit margins.

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.