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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.

Penelitian ini dilatarbelakangi oleh tingginya biaya penyimpanan dan meningkatnya stok mati pada Delyana Hijab, yang menunjukkan belum optimalnya pengelolaan persediaan bahan baku. Ketidaksesuaian antara jumlah bahan baku dan kebutuhan produksi menyebabkan pemborosan biaya serta menurunkan efisiensi operasional. Penelitian ini bertujuan untuk menentukan kebutuhan material yang optimal melalui pendekatan forecasting dan Material Requirement Planning (MRP). Metode yang digunakan adalah deskriptif kuantitatif dengan teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Tahapan analisis meliputi peramalan permintaan, penyusunan Master Production Schedule (MPS), Bill of Materials (BOM), perhitungan kebutuhan bersih (MRP), serta penentuan ukuran pemesanan melalui metode lot sizing. Hasil penelitian menunjukkan bahwa metode regresi linier menghasilkan tingkat kesalahan peramalan terendah sehingga mampu memproyeksikan kebutuhan produksi dengan lebih akurat. Penerapan MRP menghasilkan perencanaan kebutuhan bahan baku yang lebih terarah dan sesuai dengan jadwal produksi. Pada tahap lot sizing, metode Lot For Lot (LFL) menjadi yang paling efisien dengan total biaya persediaan sebesar Rp108.669.000. Dalam penerapannya, jumlah pemesanan bahan baku mengikuti kebutuhan bersih tiap periode, misalnya kebutuhan kain katun berkisar 5-7 roll per minggu dan dipesan dalam jumlah yang sama tanpa kelebihan stok. Pola ini mampu menekan penumpukan persediaan dan mengurangi risiko stok mati karena bahan baku langsung digunakan sesuai kebutuhan. Dengan demikian, tujuan penelitian untuk menentukan kebutuhan material yang optimal telah terjawab melalui penerapan metode Lot For Lot yang mampu menghasilkan kuantitas pemesanan yang tepat dan efisien.

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.

Ineffective spare part inventory planning may lead to supply delays and reduced compliance with lead time supply key performance indicators (KPIs). This study aims to implement the Collaborative Planning, Forecasting, and Replenishment (CPFR) method in spare part inventory planning at PT XYZ and to compare lead time supply performance before and after the implementation of the CPFR method. This research utilizes spare part usage data from January to June 2025, focusing on fast-moving spare parts. Demand forecasting is conducted using an error forecasting approach with the moving average method. Forecast accuracy is evaluated using the Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). Furthermore, inventory planning is carried out through the calculation of safety stock and reorder point (ROP) as the basis for determining replenishment decisions. The results indicate that the simulated implementation of the CPFR method provides a more structured and anticipative inventory planning process. The comparison of performance before and after the application of CPFR shows an improvement in lead time supply compliance with the established KPIs. Therefore, the CPFR method has the potential to support improved spare part inventory planning performance at PT XYZ.

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.

Penelitian ini bertujuan untuk menganalisis strategi pengelolaan arus kas dalam mendukung keberlanjutan usaha kue tradisional dengan mengambil studi kasus pada Toko Roti Ganjel Rel Ambarawa. Pengelolaan arus kas yang efektif merupakan faktor krusial dalam menjaga keberlangsungan usaha kecil dan menengah, khususnya pada industri makanan tradisional yang menghadapi tantangan fluktuasi permintaan musiman dan persaingan dengan produk modern. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan studi kasus melalui observasi langsung, wawancara mendalam dengan pemilik usaha, serta analisis dokumen keuangan selama periode enam bulan. Hasil penelitian menunjukkan bahwa Toko Roti Ganjel Rel Ambarawa menerapkan beberapa strategi kunci dalam pengelolaan arus kas, meliputi sistem pencatatan keuangan harian yang terstruktur, pengelolaan persediaan berbasis permintaan historis, diversifikasi produk untuk menstabilkan pendapatan, serta penerapan kebijakan kredit yang ketat kepada pelanggan. Strategi-strategi tersebut terbukti efektif dalam menjaga likuiditas usaha dengan rasio kas rata-rata sebesar 1,8 dan periode perputaran kas selama 15 hari. Temuan penelitian ini memberikan kontribusi praktis bagi pelaku usaha kue tradisional dalam merancang sistem pengelolaan arus kas yang berkelanjutan serta kontribusi teoretis dalam pengembangan model manajemen keuangan untuk usaha mikro kecil dan menengah sektor kuliner tradisional.

This study aims to analyze the inventory management practices of qurban cattle at Purnomo Sapi Mulyo Farm in Boyolali, Central Java, particularly in facing the surge in demand prior to Eid al-Adha. The research is motivated by the unique characteristics of qurban cattle inventory, which involves living assets, seasonal demand, and biological risks that differ significantly from conventional inventory management. A qualitative descriptive approach with a case study design was employed to capture in-depth information regarding inventory planning, procurement, storage, and sales practices. Data were collected through in-depth interviews with the business owner as the key informant, direct observation of operational activities, and documentation review. The findings reveal that inventory management at the farm is conducted in a responsive manner based on consumer orders, enabling the business to minimize overstock risks and operational costs. However, inventory recording remains manual and unstructured, potentially limiting the accuracy of cost calculation and long-term planning. Price fluctuations and supply availability are strongly influenced by the Eid al-Adha momentum, while cattle health and lead time are critical factors affecting inventory effectiveness. From a theoretical perspective, the study extends inventory management concepts to the context of live and seasonal inventory. Practically, the findings suggest that implementing a simple yet structured inventory recording system could enhance operational efficiency and decision-making accuracy in local qurban cattle farms.

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.

Production planning and inventory control are critical aspects of operations management, as they directly influence cost efficiency, resource utilization, and the continuity of the production process. Ineffective planning and inventory decisions may lead to excessive costs, production delays, or imbalances between supply and demand. The complexity of these problems, which often involve multi-period horizons and multi-stage decision-making processes, has encouraged the application of quantitative optimization methods, one of which is dynamic programming. This study aims to analyze and synthesize the application of dynamic programming in production planning and inventory control through a Systematic Literature Review (SLR) approach. The SLR process was conducted by systematically identifying, selecting, and analyzing 15 relevant national journal articles published between 2015 and 2024 and obtained from various recognized scientific databases. The reviewed literature indicates that dynamic programming is effective in supporting optimal decision-making by determining appropriate production quantities and inventory levels, minimizing total production and holding costs, and managing fluctuating demand conditions. In addition, this method helps reduce the risks associated with overstock and stockouts by considering sequential decision structures. However, the findings also reveal several limitations of dynamic programming, including high computational complexity, strong dependence on deterministic data assumptions, and limited flexibility in handling high levels of uncertainty. These constraints suggest the need for further methodological development or integration with other approaches to enhance practical applicability.

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.

Penelitian ini bertujuan untuk mengimplementasikan sistem Supply Chain Management (SCM) dalam pengelolaan persediaan sembako di Toko Grosir Rohman guna meningkatkan efisiensi operasional dan mengatasi permasalahan kehabisan atau kelebihan stok. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan studi kasus, melalui observasi, wawancara, dan dokumentasi. Sistem SCM yang dirancang berbasis website menggunakan PHP dan MySQL, dengan pemodelan UML untuk menganalisis kebutuhan dan perancangan sistem. Hasil dari implementasi sistem menunjukkan peningkatan akurasi data stok, efisiensi dalam proses pemesanan, serta tersedianya informasi real-time yang membantu pengambilan keputusan. Dengan sistem ini, Toko Grosir Rohman mampu mengelola persediaan sembako secara lebih optimal, meningkatkan kepuasan pelanggan, dan memperkuat daya saing usaha.

Persaingan industri distribusi yang semakin ketat menuntut perusahaan untuk memiliki sistem manajemen persediaan yang efisien dan terintegrasi. PT. Nindy Glow Beauty Aesthetic, sebuah klinik kecantikan yang bergerak di bidang penjualan produk skincare di Sei Piring, saat ini masih menggunakan nota pembelian manual sebagai acuan informasi persediaan barang. Hal ini mengakibatkan data stok tidak akurat dan menghambat pengambilan keputusan. Penelitian ini bertujuan untuk mengembangkan sistem informasi persediaan barang berbasis metode Supply Chain Management (SCM) yang dapat membantu perusahaan dalam merencanakan kebutuhan stok berdasarkan data penjualan, permintaan, dan ketersediaan barang. Hasil dari pengembangan sistem ini diharapkan dapat meningkatkan efisiensi pengelolaan persediaan, mengurangi kerugian akibat kelebihan atau kekurangan stok, serta mendukung proses distribusi produk skincare secara optimal. Studi ini juga mengacu pada penelitian sebelumnya yang menunjukkan keberhasilan penerapan metode SCM di berbagai sektor industri

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 community service activity aims to improve the efficiency of inventory management at Zencha MSMEs through the design and implementation of a Standard Operating Procedure (SOP) and a spreadsheet-based inventory recording system. Prior to this program, Zencha MSMEs managed its inventory manually without written procedures, which often caused stock discrepancies, delays in restocking, and difficulties in monitoring raw material availability. The methods used in this activity included observation, interviews, SOP design, system socialization, and direct implementation assistance. The SOP was structured to regulate the process of receiving, recording, storing, and using raw materials, while the spreadsheet template functioned as a digital tool to record stock movements automatically. The results show that after the implementation, inventory management became more organized, transparent, and measurable. The business owner was able to monitor stock levels more accurately, determine restocking time more effectively, and reduce the risk of stock shortages. In addition, employees demonstrated better discipline in recording inventory according to established procedures. This program proves that the implementation of SOP and digital-based inventory recording can significantly improve operational efficiency and support the sustainability of micro and small enterprises.

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.

Fortuna Furniture still manages its inventory manually, which causes many problems, including delayed reports, inaccurate information, and the potential for lost records. These issues affect the quality of decision-making and operational efficiency. This service aims to build a web-based inventory information system that improves speed, accuracy, and integration in inventory management. The system development process follows the Waterfall model SDLC approach, with requirements analysis, design, implementation, and testing supported by interviews, observation, and documentation. The results of the activity show that the developed system can reduce input errors, speed up the process of recording incoming and outgoing goods, and enable real-time stock monitoring. Additionally, the report generation process becomes more efficient and easier for management to access. Overall, the use of this information system significantly improved the efficiency of Fortuna Furniture's inventory management and demonstrated the importance of digitalization in helping businesses run more smoothly.

This study aims to analyze and compare rice inventory valuation using the FIFO, FEFO, and Average methods in determining the cost of goods sold (COGS) at UD. Rahayu Indah. This study uses a quantitative descriptive approach with a perpetual inventory recording system. Data were collected through observation, interviews, and documentation from January to December 2024. The results show that each method produces different COGS values: the FIFO method produces the lowest COGS, followed by FEFO, while the Average method produces the highest COGS. This difference is influenced by cost allocation based on the order of goods in and out and price fluctuations during the production period. These findings indicate that the FIFO method is the most effective method to be applied at UD. Rahayu Indah because it reflects the logical physical flow of goods, supports cost efficiency, and increases the company's gross profit. In addition, this method is also in line with the company's operational characteristics, which have stable purchasing patterns and are in accordance with the principles of PSAK No. 14 on inventory. The results of this study are expected to assist UD. Rahayu Indah's management in determining an inventory valuation strategy that is efficient, accurate, and supports business sustainability.

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.

In the fast-moving fashion retail industry, supply chain efficiency is a key factor in operational success. Heybeb Factory Outlet, as one of the retail business actors, faces challenges in managing the flow of goods from upstream to downstream, particularly in balancing demand between offline (physical stores) and online (e-commerce/marketplace) channels. This proposal aims to design and analyze the logistics workflow starting from goods ordering (restocking) from the central warehouse, the goods receiving process, rigorous Quality Control (QC) procedures, storage in a dedicated transit warehouse, and the stock distribution mechanism (stock split) for the two sales channels. The main issues identified include the risk of overselling in one channel while stock accumulation occurs in another, as well as the potential for defective items to pass through due to an unstructured QC process. This study employs a descriptive qualitative approach by mapping out an ideal Standard Operating Procedure (SOP). The expected outcome is the development of an integrated inventory management system capable of minimizing return rates caused by defective items and maximizing inventory turnover through accurate stock allocation between online and offline divisions.

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.