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This research discusses the application of the sales budget as a tool for planning and controlling finished goods inventory. The aim of this research was carried out based on the application of a sales budget to find out how to implement a sales budget which can be used as a planning and control tool for finished goods inventory to optimize profits at CV Wecono Asri. The type of research used in this research is descriptive quantitative, namely providing a picture of the actual situation of the object under study based on facts, by collecting data processing such as collecting related data, namely raw material costs, labor costs and factory overhead costs. The data examined in this research is from 2021 to 2022 as a basis for calculating sales forecasts in 2023 which will then be prepared for implementing the sales budget. From the results of the research that has been carried out, it shows that the implementation of the sales budget at CV Wecono Asri is more controlled compared to before the sales budget was prepared because the resulting acquisition costs also increase due to the difference between the profit and loss budget report and the profit and loss realization report, which produces results The final difference in profit and loss was IDR 16,660. So with these results it is recommended that CV Wecono Asri prepare a sales budget, production budget, raw materials budget, labor budget and factory overhead budget, the company will get a greater profit than the previous year.  

Sosis Solo Gajahan is a business operating in the food industry, the problem faced by the company is whether the control of raw material inventory for Sosis Solo Gajahan is efficient and whether the application of the Material Requirement Planning (MRP) method can streamline the cost of raw material inventory for Sosis Solo Gajahan. The aim of this research is to consider the company's efficiency in raw material inventory costs and can be used to make decisions related to the efficiency of raw material inventory costs. By using the Material Requirement Planning (MRP) method which consists of the Lot For Lot (LFL), Economic Order Quantity (EOQ) and Period Order Quantity (POQ) methods. Based on the results of the total cost calculation according to company policy of IDR 5,131,580 and based on the Material Requirement Planning (MRP) method, which consists of the Lot For Lot (LFL) technique of IDR 696,000, the Economic Order Quantity (EOQ) technique of IDR 1,290,360, and the Period Order Quantity (POQ) technique of IDR 696,000, the researchers concluded that the most efficient method applied at Sosis Solo Gajahan was the Lot For Lot (LFL) and Period Order Quantity (POQ) methods. The Lot For Lot (LFL) method produces inventory costs of IDR 696,000 and the Period Order Quantity (POQ) method produces inventory costs of IDR 696,000 and it is best to calculate raw material inventory control costs using the Material Requirement Planning (MRP) method with the Lot For Lot technique ( LFL) and Period Order Quantity (POQ) techniques, because they can achieve efficient raw material purchasing costs compared to current company policies.

The aim of this research is to analyze the efficiency of raw material inventory control and the application of the Material Requirement Planning method to control soybean raw material inventory at Mr Heri's Tofu Factory. The type of data used is qualitative data and quantitative data. Data sources in research use secondary data and primary data. Data collection methods used were interviews, observation and documentation. The data analysis technique used is to streamline raw material costs using the Material Requirement Planning (MRP) technique. The research results show that the raw material inventory costs according to company policy of IDR 1,553,712 are not efficient, because the total raw material inventory costs are greater than the LFL method of IDR 240,000, EOQ of IDR 297,914 and POQ of IDR 240,000. Based on this, hypothesis 1 which states that "It is suspected that the raw material control system for Mr Heri's Tofu Factory is not efficient", has been proven to be true. Hypothesis 2 which states that "It is suspected that the application of the Material Requirement Planning method can streamline the costs of controlling raw material inventory at Mr Heri's Tofu Factory", has been proven to be true.

The need for soybeans in Indonesia increases along with population growth, with demand reaching 2.7 million tons in 2023. Soybeans are an important raw material in the food industry, especially for processed products such as tempeh. This research aims to analyze the control of soybean supplies in the Bogor Regency Tofu and Tempe Cooperative (KOPTI) using the Economic Order Quantity (EOQ) method. The Economic Order Quantity (EOQ) method was chosen because it is able to optimize the costs of ordering and storing raw materials. Primary data was obtained through interviews with KOPTI owners and employees. The analysis results show that the optimal order quantity is 333,371 kg with an order frequency of 4 times per year. In addition, the safety stock required is 82,252 kg, and the reorder point is 85,865 kg. Using the EOQ method can save total inventory costs from IDR 14,332,491.57 to IDR 910,102.39. This research suggests KOPTI to apply the Economic Order Quantity (EOQ) method to increase cost efficiency and maintain stable raw material supplies.

PT XYZ is an industrial company that produces tools. In this research, the problem that must be resolved, namely the issue of raw material inventory control that occurs at PT XYZ, will be resolved using the Economic Order Quantity (EOQ) method using POM-QM software. By using the Economic Order Quantity (EOQ) method, it is hoped that it can solve the raw material inventory control problems that occur at PT XYZ so that the costs incurred by the company are optimal. So, PT XYZ can solve the problem of controlling raw material inventory with the help of the POM-QM application to facilitate the calculation process. Based on the analysis and data processing that has been carried out, it is known that the optimal quantity of raw material A output per order is 150 units with a total cost of IDR 270,596,000 and a reorder point value of 7 units. For raw material B, the optimal quantity per order is 241 units with a total cost of IDR 2,439,490,000 and a reorder point value of 53 units. For raw material C, the optimal quantity per order is 94 units with a total cost of IDR 425,200,400 and a reorder point value of 7 units. For raw material D, the optimal quantity per order is 82 units with a total cost of IDR 217,229,600 and a reorder point value of 5 units. So the raw material that has the most influence in the tool making process at PT XYZ is B because it has the largest reorder point value.    

Sprite drink is a soda drink that is very popular among all groups. Demand is uncertain and always changes from time to time, making product availability difficult to control and often causes overstock or stockout problems. Therefore, inventory control is needed, which can be done by forecasting, determining safety stock and good re-order points. To obtain effective and efficient planning, the number of orders must be based on the number of past mass requests so as to reduce the occurrence of overstock or stockouts. With the problems experienced by PT. XYZ, the forecasting method used is the time series forecasting method. In this case, the time series methods used are Simple Average, Single Moving Average and also Single Exponential Smoothing. After carrying out several calculations, we obtained a Mean Absolute Centage Error (MAPE) value of 49.379%, a Mean Absolute Deviation (MAD) of 2297.145, a Root Mean Squared Error (RMSE) of 2912.495 and also a Mean Squared Error (MSE) of 8,482 .628 and forecasting results of 4504 pcs every month. Based on the calculation results, the proposal given is to reorder Sprite 250ML when the inventory in the warehouse reaches 1548 pcs with a safety stock of 540 pcs.