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The management of ethical drug inventory is a crucial aspect of supporting the smooth delivery of healthcare services in hospitals. Improper management of ethical drugs can lead to stockouts or overstock, which results increased operational costs and the risk of drug expiration. This study aims to analyze the inventory control of ethical drugs at RSUD Inche Abdoel Moeis Samarinda using the Economic Order Quantity (EOQ), Safety Stock, and Reorder Point methods. The data used in this study are the consumption of ethical drugs during 2024, obtained from the hospital’s Pharmacy Installation. The data analysis method involves calculating ordering and holding costs, determining the optimal order quantity using EOQ, and calculating Safety Stock and ROP to maintain drug availability during lead time. The results of this study indicate that the application of the EOQ method provides a more optimal and efficient order quantity compared to previous policies. Furthermore, Safety Stock and ROP calculations assist the hospital in preventing ethical drug shortages and creating a more structured ordering schedule. Thus, the implementation of EOQ, Safety Stock and ROP methods can improve the efficiency of ethical drug inventory management while supporting the continuity of healthcare services at RSUD Inche Abdoel Moeis Samarinda.

The lack of a systematic calculation approach makes it difficult for APR Nine to monitor fabric raw material inventory, resulting in raw material purchases still being based on habit and intuition. With a total inventory of 2,001 rolls and raw material usage of 1,803 rolls of fabric, there were seven times of excess stock and five times of shortage during the period of October 2024 to September 2025. The difference between the two was 198 rolls. This study uses the Economic Order Quantity (EOQ) method to analyze fabric raw material inventory control. This study uses a quantitative approach with descriptive analysis using data from the period of October 2024 to September 2025. The results of the study indicate that 1694 orders with an ordering frequency of 10 times, a safety stock of 29 rolls, and a reorder point of 35 rolls are the ideal quantities when using the Economic Order Quantity (EOQ) approach. Compared to the previous APR Nine approach, the application of the Economic Order Quantity (EOQ) method is more effective in reducing overall inventory costs from Rp. 5,011,949.35 to Rp. 4,508,824.67.

This study aims to compare two methods of raw material inventory management, namely Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ), in improving efficiency and reducing operational costs at Konveksi Arey Hijab. The main problem faced by this company is the irregularity in raw material inventory management, which causes wasteful costs, especially ordering costs and storage costs. Based on raw material purchase data in 2024, which recorded a total purchase of 26,203 kg with a total cost of IDR 1,834,573,300, this study uses a descriptive quantitative approach to compare the two methods. The results of the study show that the EOQ method produces lower inventory costs, namely IDR 16,568,074, compared to the POQ method. The application of the EOQ method can reduce the frequency of excessive ordering, while the POQ method is more effective for ordering periods that are adjusted to seasonal demand. This study recommends that Konveksi Arey Hijab adopt the EOQ method to optimize raw material inventory management, reduce wasteful costs, and improve the company's operational efficiency.

The development of hardware and software technology has developed rapidly in recent years. Currently, companies are still experiencing difficulties in processing data and information. Spare parts that are not available when needed can hinder maintenance and repair plans. For this reason, controlling spare parts inventory in the Asia Jaya Motor workshop company is very necessary to maintain the quality of goods. Asia Jaya Motor Workshop is a business operating in the automotive sector, where this place cannot be separated from an accurate information system. However, data management still uses manual methods, seeing the problems that occur at the Asia Jaya Motor Karawang Workshop, very high accuracy, convenience and speed are needed. The aim of this research is to obtain an effective and efficient spare parts inventory analysis so that spare parts procurement and control plans can be accurate in supporting maintenance and repair programs. The data collection techniques for this research are library research and field research. So, the total cost of spare parts inventory in the 2011-2014 period according to the Economic Order Quantity method for each spare part has increased. The total cost (total cost) of spare parts inventory according to the Economic Order Quantity method is lowest in the 2021 period and the total cost (total cost) of spare parts inventory is the highest in the 2023 period.

This study aims to analyze the effectiveness of raw material inventory control at the Kediri Wet Noodle business by comparing the traditional method with the Economic Order Quantity (EOQ) method. A descriptive quantitative approach was applied, utilizing EOQ, Safety Stock (SS), Re-order Point (ROP), and total inventory cost analysis. The results indicate that the traditional method leads to 24 purchase cycles per year with an inventory cost of IDR 4,320,000, without considering safety stock or re-order points. In contrast, the EOQ method shows an optimal purchase quantity of 1,421 sacks (35,525 Kg) with five purchase cycles per year, an inventory cost of IDR 574,455, a Safety Stock of 67 sacks (1,675 Kg), and a Re-order Point of 107 sacks (2,675 Kg). Therefore, the EOQ method reduces inventory costs by up to 86% compared to the traditional method. Nevertheless, its limitation lies in the exclusion of raw material shelf life and storage condition factors.

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.    

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.  

Currently, MD Drafika faces challenges due to a lack of proper inventory management, such as safety stock regulations and reorder schedules. This has led to inventory levels that often fail to meet customer demand. The objective of this research is to optimize inventory costs at MD Drafika to enhance cost efficiency. This study employs a descriptive quantitative method, utilizing data collected through observation and interviews to explain the relevant aspects of the research object. The results of the research reveal an optimal order quantity and a reduction in inventory costs. Inventory optimization was achieved by adjusting safety stock levels and reorder points. The calculations for 2023 showed an optimal order quantity of 3,349 pieces, with four purchasing cycles within the period. The safety stock was determined to be 945 pieces, and the reorder point was 992 pieces. The cost difference between the EOQ method and the company’s current approach amounted to IDR 1,179,928.

This study aims to analyze the efficiency of raw material inventory control for bread products at Rejeki Bakery in Mijen, Semarang, and to examine the application of the Material Requirement Planning (MRP) method in optimizing raw material inventory costs. The research employs a quantitative approach using secondary data as the main source. The data analysis technique utilized in this study is the Material Requirement Planning (MRP) method, which includes three inventory control techniques: Lot For Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ). Each method was analyzed to determine the most efficient inventory cost. The results show that the raw material inventory cost using the Lot For Lot (LFL) method is Rp 2,400,000.00, the Economic Order Quantity (EOQ) method results in an inventory cost of Rp 2,992,600.00, while the Period Order Quantity (POQ) method incurs a cost of Rp 6,924,800.00. Additionally, the current raw material inventory cost under Rejeki Bakery’s management policy is Rp 2,681,600.00. Based on these findings, the implementation of the Material Requirement Planning (MRP) method at Rejeki Bakery in Mijen, Semarang, has demonstrated its effectiveness in improving the efficiency of inventory management. Among the three techniques analyzed, the Lot For Lot (LFL) method proves to be the most cost-effective, as it minimizes excess inventory while ensuring that production needs are met. This study highlights the importance of selecting an appropriate inventory control method to optimize costs and enhance operational efficiency in bakery production.

Manajemen inventaris bahan baku yang efisien sangat penting bagi kelangsungan operasional Usaha Mikro, Kecil, dan Menengah (UMKM), khususnya di industri kuliner. Artikel ini membahas penerapan metode Economic Order Quantity (EOQ) dan Reorder Point (ROP) dalam manajemen inventaris bahan baku di Moon Cafe, salah satu UMKM di kota Batam. EOQ digunakan untuk menentukan jumlah pemesanan yang optimal, sehingga biaya pemesanan dan penyimpanan bahan baku dapat diminimalkan. Sementara itu, ROP berfungsi untuk menentukan titik pemesanan ulang bahan baku agar tidak terjadi kekurangan atau kelebihan stok. Melalui analisis data historis konsumsi bahan baku, penerapan metode ini diharapkan dapat meningkatkan efisiensi operasional Moon Cafe, mengurangi pemborosan biaya, serta meningkatkan ketersediaan bahan baku secara tepat waktu. Hasil penelitian menunjukkan bahwa dengan menggunakan EOQ dan ROP, Moon Cafe dapat mengoptimalkan proses pengadaan bahan baku, mengurangi biaya penyimpanan, serta memastikan kelancaran produksi dan pelayanan. Kata Kunci: Bahan Baku, Efisiensi, EOQ, Manajemen Inventaris, UMKM

Manajemen inventaris bahan baku yang efisien sangat penting bagi kelangsungan operasional Usaha Mikro, Kecil, dan Menengah (UMKM), khususnya di industri kuliner. Artikel ini membahas penerapan metode Economic Order Quantity (EOQ) dan Reorder Point (ROP) dalam manajemen inventaris bahan baku di Moon Cafe, salah satu UMKM di kota Batam. EOQ digunakan untuk menentukan jumlah pemesanan yang optimal, sehingga biaya pemesanan dan penyimpanan bahan baku dapat diminimalkan. Sementara itu, ROP berfungsi untuk menentukan titik pemesanan ulang bahan baku agar tidak terjadi kekurangan atau kelebihan stok. Melalui analisis data historis konsumsi bahan baku, penerapan metode ini diharapkan dapat meningkatkan efisiensi operasional Moon Cafe, mengurangi pemborosan biaya, serta meningkatkan ketersediaan bahan baku secara tepat waktu. Hasil penelitian menunjukkan bahwa dengan menggunakan EOQ dan ROP, Moon Cafe dapat mengoptimalkan proses pengadaan bahan baku, mengurangi biaya penyimpanan, serta memastikan kelancaran produksi dan pelayanan. Kata Kunci: Bahan Baku, Efisiensi, EOQ, Manajemen Inventaris, UMKM

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.

Every company that carries out production activities needs a supply of raw materials. With the availability of raw materials, it is hoped that industrial companies can carry out the production process according to consumer demand. In addition, adequate supplies of raw materials in the warehouse are also expected to improve the smoothness of production or service to consumers, as well as prevent shortages of raw materials. This research aims to identify and analyze the inventory management of raw materials implemented by the National Tofu Factory. The research method used is descriptive, with analysis using the Economic Order Quantity (EOQ) method. The data collected is in the form of interview results as primary data. The results of the research show that the management of raw material inventory by the National Tofu Factory has not been optimal. Based on the EOQ calculation, the amount of existing raw material inventory is smaller than what is recommended by the EOQ method. Therefore, additional raw material supplies are needed to support the smooth production process. The National Tofu Factory is also advised to provide adequate warehouses to store raw material supplies, especially for soybeans, so that they can accommodate more raw materials and reduce ordering costs.

PT ABC operates in the printing and publishing sector which produces magazines using a make to order system. The problem that often occurs is related to the fluctuating demand for SM magazines from March 2021 to February 2024. As a result of this condition, the company cannot estimate the amount of raw materials needed, so orders are made based on estimates only. This causes overstock, especially 1001 reams of 58 gram HVS paper. The research objective is to find out planning, inventory control, and ordering techniques that produce minimal costs. In this case, suitable methods to apply are Material Requirement Planning (MRP), lot size Economic Order Quantity (EOQ), Lot For Lot (LFL) and Period Order Quantity (POQ). From the proposed improvements, the minimum cost with Lot For Lot (LFL) was IDR 2.320.000. So, costs can be minimized to IDR 93.260.746 or 98% compared to the method used by the company.

This research was conducted to determine the economic quantity of raw material inventory and determine the amount of raw material inventory needed. This research is included in descriptive quantitative research using the Economic Order Quantity (EOQ) method. EOQ can achieve optimal inventory levels and overall cost reductions, thereby enabling businesses to achieve maximum profits. The subject of this research is the raw material inventory of Osha Snack Bogor. In using this EOQ technique, it can be concluded that cooking oil is the largest raw material inventory, which is 32.40% of the total inventory with an EOQ amount of 8485 liters. The next order of cooking oil should Osha Snack do when the inventory in the warehouse remains 38 liters.    

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.

This research aims to produce compatibility between the policies of Abon Surya with the Economic Order Quantity raw material control method, namely the purchase quantity of the Abon Surya policy has an average purchase of 770 kg, for the frequency of purchasing raw materials for jack beans 5 times, for security and point supplies. There is no reordering policy with a total inventory cost of IDR 251,640. Meanwhile, the EOQ method has an average purchase of 1,313 kg. the purchase frequency is only 3 purchases, the security inventory is 90 Kg and the number of reorders is 204 Kg with a total cost of inventory required of IDR 173,254. The cost difference between Abon Surya and the EOQ method is IDR 78,386,417. This shows that there is a saving or reduction in the total cost of inventory needed if Abon Surya can implement the EOQ raw material control method. Apart from that, the packaging used at UMKM Surya Abon for shredded products still uses transparent plastic with stickers, which is less attractive to buyers. Therefore, a new design is needed to attract more buyers.

This research aims to produce compatibility between the policies of Abon Surya with the Economic Order Quantity raw material control method, namely the purchase quantity of the Abon Surya policy has an average purchase of 770 kg, for the frequency of purchasing raw materials for jack beans 5 times, for security and point supplies. There is no reordering policy with a total inventory cost of IDR 251,640. Meanwhile, the EOQ method has an average purchase of 1,313 kg. the purchase frequency is only 3 purchases, the security inventory is 90 Kg and the number of reorders is 204 Kg with a total cost of inventory required of IDR 173,254. The cost difference between Abon Surya and the EOQ method is IDR 78,386,417. This shows that there is a saving or reduction in the total cost of inventory needed if Abon Surya can implement the EOQ raw material control method. Apart from that, the packaging used at UMKM Surya Abon for shredded products still uses transparent plastic with stickers, which is less attractive to buyers. Therefore, a new design is needed to attract more buyers.

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.    

Inventory is crucial and very important in every production series. So good inventory management is needed to increase the optimization of production activities. Decision making in order to reduce risks in the warehouse if procurement of too many goods in a short period results in increased storage costs. This research proposes inventory management using the Economic Order Quantity method with the results for grinding blades, bolts and acetylene respectively being EOQ of 136.7; 154.9; and 42.42.