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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 management of essential drug inventory is a strategic component of hospital pharmaceutical services because it directly influences service continuity, cost efficiency, and the overall quality of healthcare delivery. Poor inventory control can result in excessive stock accumulation, increased risk of drug expiration, inefficient budget utilization, and potential drug shortages that may compromise patient care. This study aims to evaluate the effectiveness of essential drug inventory control at Pekerja General Hospital by applying the ABC-VEN, Economic Order Quantity (EOQ), and Reorder Point (ROP) methods. It also examines differences in inventory management efficiency between 2024 and 2025 based on inventory value, cost of goods sold (COGS), and Inventory Turnover Ratio (ITOR). A mixed-methods approach with a sequential explanatory design was used. Quantitative analysis involved a paired sample t-test comparing inventory data from 2024–2025, while qualitative data were collected through in-depth interviews and analyzed thematically using NVivo. The findings reveal a significant improvement in inventory management in 2025 (p < 0.05), reflected in reduced inventory value and COGS, along with an increased ITOR. However, the implementation of ABC-VEN, EOQ, and ROP methods has not been fully integrated, and challenges such as limited human resources and procurement bureaucracy persist.In conclusion, although inventory control became more efficient in 2025, further integration of inventory methods and strengthening of human resource capacity are necessary to ensure sustainable improvements.

This research aims to control the planning of inventory control of palm raw materials to obtain the optimal quantity of raw material orders at PT. Gruti Lestari Pratama in 2020. The method used in this research is the model of Period Order Quantity (POQ) method which is the development of the Economic Order Quantity (EOQ) method. The result of this research obtained an optimal order quantity using the POQ method in 2020 which is 7.563,08 tons. The frequency of ordering based on company policy is 314 times in a year, while using the POQ method the order frequency 23 times in a year. Where safety stock with POQ method of 2.702,50 tons and reorder point of 3.256,35 tons. Total inventory cost of palm raw material by using POQ method of Rp. 8.907.361.822 in a year. Overall, this study shows that the application of the POQ method in controlling palm oil raw material inventory at PT. Gruti Lestari Pratama provides optimal results in reducing order frequency, saving costs, and ensuring timely raw material availability. The results of this study can serve as a basis for the company to implement a more efficient and effective inventory control system, supporting smooth production at a more affordable cost.

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.

UMKM BPK Legend Batam is a Batak culinary business that serves Karo Roast Pork (BPK) as its main dish along with side dishes such as soup, saksang, and fried Indomie B2. In its operational activities, food product inventory management is still done manually and based on estimates, which can potentially lead to excess or shortages of ready-to-sell products. This situation can result in a decline in product quality, wasteful spending, and lost sales opportunities when demand increases. The objective of this community service activity is to design a more effective and efficient food product inventory control system through the application of the EOQ and ROP methods. The methods used include observation, interviews, and analysis of sales data and product availability per period. The results of the activity show that the application of EOQ is able to determine the optimal product inventory quantity, while ROP provides guidelines for the right time to replenish products. The product inventory control system that was designed helps BPK Legend MSMEs in reducing inventory costs, maintaining product availability, and supporting smooth service to customers.

This study aimed to analyse the mineral water inventory management practices and improve production cost efficiency at PT. Pintar Sumber Mineral. The research utilized a quantitative descriptive method, with data collected through interviews, documentation reviews, and literature studies. The findings demonstrated that the company had successfully and effectively implemented the Economic Order Quantity (EOQ) model. This effective implementation was evidenced by: The increase in the EOQ value corresponding with the growth in annual demand. The implementation of specific inventory management strategies that supported cost efficiency. While significant demand growth led to an increase in ordering and holding costs, the strategy of adjusting the EOQ model was able to optimally mitigate the impact of these rising costs. This study concluded that the application of the EOQ model had made a positive contribution to the company's operational efficiency.

This community service activity was conducted at Grind Now Coffee Bar, an MSME in Batam City’s food and beverage sector, to address challenges in managing raw material inventory, which often led to inaccurate stock records, shortages, and overstocking, affecting daily operations and efficiency. The program aimed to improve inventory management by applying the Economic Order Quantity (EOQ) and Reorder Point (ROP) models, providing a systematic and measurable approach to procurement. Activities included detailed observation of operational practices, interviews with staff to understand current challenges, collection of data on raw material usage and purchasing patterns, and the implementation of a website-based inventory control system to streamline record-keeping and monitoring. The results showed that EOQ and ROP models helped determine optimal order quantities and appropriate reorder timing, while the inventory system improved organization, reduced errors, and enabled real-time stock monitoring. Overall, this intervention enhanced decision-making, promoted operational efficiency, and supported the sustainability and competitiveness of Grind Now Coffee Bar.

This study aims to analyze inventory control of catfish seeds at ABC Company by comparing the conventional inventory method represented by the Economic Order Quantity (EOQ) approach and the Just In Time (JIT) system in order to improve cost efficiency. This research employed a descriptive quantitative approach using a case study design. Data were collected through direct observation, semi-structured interviews with company management, and documentation of inventory and cost records for the 2024 operational period. The analysis method involved calculating optimal order quantities, ordering frequency, delivery frequency, and total inventory costs using EOQ and JIT formulas, followed by a comparative cost efficiency analysis. The results show that the conventional method resulted in a total inventory cost of Rp 75,050,000 per year with high ordering frequency. In contrast, the implementation of the JIT system reduced inventory costs to Rp 18,762,500 per year, achieving a cost efficiency of 72%. These findings indicate that the JIT system is more cost-efficient than the conventional method; however, its implementation requires careful consideration of supplier capacity, logistics readiness, and biological risks associated with live inventory. This study contributes empirical evidence on the applicability of JIT in the aquaculture sector, which has different characteristics from manufacturing industries.

This research investigates the application of the Economic Order Quantity (EOQ) method to improve drug inventory management in a primary hospital pharmacy, with a particular focus on reducing storage costs. A descriptive quantitative approach was applied using secondary data from January to December 2024, covering annual demand, purchase price, ordering cost, and holding cost. The analysis concentrated on fast-moving vital essential and moderate vital drugs that are critical for sustaining patient treatment. The study revealed inefficiencies in the hospital's procurement practices, with some medicines simultaneously facing overstock and stockout risks, indicating weak planning. EOQ calculations provided alternative procurement quantities that were smaller but more frequent, resulting in lower storage costs and better stock control. Simulation outcomes demonstrated notable cost savings, particularly for Flamicort, Diazepam, and Ventolin. These findings emphasize the value of integrating EOQ into hospital pharmaceutical logistics to reduce financial losses, strengthen supply chain efficiency, and ensure the continuous availability of essential medicines in primary hospital settings.

This study evaluated drug inventory management in a primary hospital pharmacy using the Economic Order Quantity (EOQ) method. A descriptive quantitative design was applied with secondary data collected from January to December 2024, covering annual demand, purchase price, ordering cost, and holding cost. The analysis revealed inefficiencies, as several drugs simultaneously faced overstock and stock out risks, indicating weaknesses in procurement planning. EOQ calculations suggested lower and more frequent procurement, reducing storage costs and improving stock control. The findings demonstrated that applying EOQ could minimize financial risks, optimize resource allocation, and ensure continuous access to essential medicines. This research highlights the relevance of structured inventory models in supporting hospital efficiency and sustainable pharmaceutical logistics, particularly in resource-limited primary hospitals.

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.

Efficient drug inventory management is a critical factor in ensuring medicine availability and optimizing procurement budgets in healthcare facilities. This study aims to analyze drug inventory at Tritya Eye Clinic Surabaya using the ABC (Always, Better, Control), VEN (Vital, Essential, Non-Essential), and EOQ (Economic Order Quantity) methods to improve procurement budget efficiency. A quantitative descriptive approach with a case study method was employed. Data were collected from drug usage records, stock opname reports, and procurement documents from in 2024. The findings reveal that the combined ABC-VEN method effectively identifies priority drug groups based on consumption value and clinical importance, while the EOQ method determines optimal ordering quantities to minimize total inventory costs. The integrated application of these methods successfully reduces overstock and stockout incidents and enhances procurement budget efficiency. This study recommends inventory management based on historical usage data and strategic classification to achieve more accurate and cost-effective drug procurement planning.

This study discusses the application of inventory accounting in micro-enterprises, particularly at Toko Benih Tamban Tani, located in Kedawung Village, Mojo District. The main issue addressed is the suboptimal recording and calculation of inventory costs in accordance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). As a vital component of business operations, inventory should be managed systematically to accurately reflect the financial position and support operational efficiency. This research employs a descriptive qualitative approach. Data were collected through interviews, observations, and the collection and analysis of relevant documents, complemented by quantitative calculations using the Economic Order Quantity (EOQ) method to assess purchasing efficiency. The analysis aimed to describe current practices and compare them to the standards set forth in SAK EMKM. The findings indicate that inventory recording is still performed manually without a formal accounting format, and several operational costs such as shipping fees, electricity, and other supporting expenses have not been included in the calculation of the cost of goods sold. Additionally, based on EOQ analysis, the actual purchasing frequency is higher than the optimal amount, indicating inefficiencies in inventory procurement.

Di tengah arus perkembangan teknologi yang kian cepat, perkembangan teknologi informasi memberikan dampak signifikan terhadap berbagai sektor bisnis, termasuk usaha kecil dan menengah (UKM). Farida Olshop, sebuah toko yang menjual berbagai macam baju, merupakan salah satu contoh UKM. Dalam operasionalnya, Farida Olshop memiliki tantangan utama dalam hal pengelolaan persediaan produk. Masalah seperti kekurangan stok barang yang banyak diminati, kelebihan stok barang yang kurang diminati, serta keterlambatan pengadaan produk sering kali menjadi kendala yang dapat menghambat kelancaran bisnis. penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pengelolaan persediaan produk baju di Farida Olshop menggunakan metode EOQ. Teknik EOQ dapat mempermudah dalam melakukan proses pendataan barang masuk dan barang keluar serta dapat mengurangi penggunaan kertas dan dengan adanya teknik ini, sehingga dapat mengetahui jumlah persediaan barang yang bisa dilakukan dengan cepat dan mudah serta menghemat waktu sehingga tidak terjadi kesalahan dalam menghitung jumlah persedian produk yang ada.

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.    

Makmur Jaya is a company engaged in the production of snacks and faces challenges in controlling raw material inventory, such as inaccuracy in the number of orders and high storage costs. This study aims to apply the Economic Order Quantity (EOQ) method to improve efficiency in inventory management. The EOQ method is used to determine the optimal number of orders that can minimize the total cost of inventory, including ordering and storage costs. The results of the analysis show that the implementation of EOQ is able to significantly reduce the total cost of inventory compared to the conventional method that has been used by the company. In addition, EOQ also provides benefits in scheduling raw material orders more efficiently and systematically. Thus, the application of the EOQ method is an effective strategy in improving the efficiency of raw material inventory control in Makmur Jaya.

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.  

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in supporting regional economic development. However, inefficient inventory management remains a significant challenge in operational effectiveness. This study aims to analyze raw material inventory control at Kebab & Burger Foursist MSME in Tarakan City using the Economic Order Quantity (EOQ) and Reorder Point (ROP) methods. A descriptive quantitative approach was employed, utilizing annual sales data, ordering costs, and storage costs of main raw materials. The results indicate that the implementation of EOQ and ROP effectively determines the optimal purchase quantity and reorder timing, thereby minimizing total inventory costs and reducing the risk of stockouts or overstocking. The use of POM-QM for Windows software enhances the accuracy of the analysis. The implications of this study offer practical solutions for MSME actors in managing raw material procurement more efficiently and systematically.