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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 optimization efforts made by the Apron Movement Control (AMC) unit in supervising and regulating the movement of people and vehicles in the airside area of ​​Komodo International Airport, Labuan Bajo. The AMC unit is responsible for managing the movement of aircraft, people, and vehicles, including plotting parking stands, arranging ground handling, administering flight data, licensing airside vehicles, supervising engine run-up, apron cleanliness, and handling fuel spills. Supervision is carried out based on SOP, but in emergency situations such as aircraft skidding or unloading on the taxiway, the AMC must be able to adapt quickly to relevant safety procedures. This study uses a qualitative method with direct observation techniques, interviews with three AMC personnel, as well as SOP documentation and incident reports. The results show that the implementation of supervision and control has been running according to PM-IK standards. The focus of supervision includes aircraft movement, engine idle, GSE vehicle speed, completeness of worker PPE, and passenger arrangements to the aircraft. However, the main obstacle is the limited personnel which causes a high workload and supervision is not optimal, so that violations by service users or workers still occur and have the potential to endanger flight safety.

Production facility layout design is an important part that must be considered in an industry. Banjarsengon coffee house is one of the coffee suppliers in Jember with product types such as robusta and arabica coffee from the Argopuro mountains. The purpose of the research is to reduce material handling costs generated by the industry in order to produce the most optimal costs, and design a proposed layout as an alternative to help reduce material handling costs. This industry processes its products from upstream to downstream so that it has 2 production sites, namely the production house and Cafe Rumah Kopi Banjarsengon. The research was conducted with an interview approach to key informants and continued by calculating material handling costs and the Craft method. The results showed that the initial layout of Banjarsengon Coffee House resulted in material handling costs of Rp. 534,437 and after iteration through the Craft Method, an alternative layout was obtained that resulted in more efficient material handling costs of Rp. 464,302. This shows that there is a material handling cost savings of 13.1% or Rp. 70,135.

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.

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.

Groovy Space Coffee and Kitchen is a coffee shop located in the Bogor City area that serves several types of drinks such as coffee and tea and several foods, both snacks and heavy meals. This research aims to optimize the layout of the sitting room at Groovy Space Coffee and Kitchen using the Activity Relationship Chart (ARC) method based on the results of the Total Cleseness Rating (TCR) calculation. The ARC method is used to determine optimal seating space layout arrangements by considering the shape of the room and the available area. Meanwhile, the TCR method is used to overcome potential conflicts in the use of seating space, such as the density of visitors at certain times. The application of these two methods is expected to produce a seating space layout that is efficient, comfortable, and able to better accommodate the number of visitors. The results of this research show that the new layout is more effective and efficient compared to the previous layout with the results showing that the new layout includes additional seating in the outdoor area and also a change in concept from outdoor to semi-outdoor.