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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 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.

Inventory management plays a crucial role in ensuring smooth business operations by preventing stockouts that may cause losses. Toko Cat Gani still relies on manual recording, which is prone to data loss, duplicate entries, and delays in stock reporting, thus requiring a systematic solution. This study aims to design and implement a web-based inventory information system using the buffer stock method to overcome these issues. The research method employed is Research and Development (R&D) with a prototype model, consisting of needs analysis, system design, validation, and testing stages. The system was developed using PHP, MySQL, and XAMPP, featuring item data management, supplier management, inbound and outbound transactions, buffer stock calculations, and real-time inventory reports. The implementation results show that the system facilitates transaction recording, minimizes data entry errors, provides notifications when stock reaches the minimum threshold, and generates accurate and timely reports. Expert validation and user testing confirm that the system is feasible and effective in supporting inventory management at Toko Cat Gani. Therefore, the implementation of a web-based inventory information system with the buffer stock method can be considered an efficient and reliable solution to improve accuracy and effectiveness in inventory control.

UD. Indokarya Brass is a company engaged in the brass handicraft industry with its main products being door handles and bells. The main raw materials used in the production process include brass, copper, tin, and aluminum, which are obtained from suppliers both within and outside the city. On average, raw materials are received weekly with quantities of 50–100 kg of brass, 7–10 kg of copper, 10–15 kg of tin, and 3–5 kg of aluminum. In addition, the company also uses additional materials in the form of thinner and epoxy purchased from nearby hardware stores with less frequent purchases, namely 5–10 liters of thinner every month and around 5 kg of epoxy every two months. To date, the company has not had a structured policy for procurement and control of raw material inventory. This condition results in excess inventory of several types of raw materials which actually incurs high costs, both in terms of storage costs and warehouse maintenance costs. This excess inventory ultimately has an impact on reduced efficiency and decreased company profits. This study was conducted to analyze the existing inventory system and compare the company's current policy with a proposed method for more optimal inventory control. The calculation results show that the proposed method is able to provide significant inventory cost savings, namely 83.25% in brass raw materials, 15.28% in copper, 14.6% in tin, 43.37% in aluminum, 4.66% in epoxy, 4.2% in thinner, and 40.7% in other raw materials. Thus, the implementation of the right inventory control method can improve operational efficiency and help companies reduce cost burdens, so that profits can be more optimal.

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.

This research aims to design and build a web-based syar'i clothing inventory information system at Umama Gallery Yogyakarta. The background of this research is based on the problem of inventory management which has been done manually, which often causes obstacles such as delays in stock information, potential recording errors, wasted paper, and difficulties in preparing inventory reports quickly and accurately. To overcome these problems, a web-based information system was developed by referring to the Software Development Life Cycle (SDLC) Waterfall model, which includes the stages of planning, needs analysis, design, implementation, and testing. Research data was obtained through interviews with store managers and literature studies to support the analysis and design of the system. The implementation results show that the inventory information system built is able to simplify the process of recording and monitoring inventory in real-time, thereby helping to reduce the potential for recording errors and speeding up the reporting process. In addition, this system also reduces dependence on physical documents, making it more environmentally friendly and efficient in the use of resources. Available features include data management of goods, suppliers, users, incoming and outgoing goods transactions, and user account management. The integration of these features supports comprehensive inventory management, improves operational efficiency, and facilitates management in making accurate, data-driven decisions. With this system, Umama Gallery Yogyakarta has gained an effective, reliable, and integrated tool to support smooth operations and more modern and professional inventory management. Similar systems have the potential to be implemented in similar businesses to improve inventory management quality and competitiveness in the digital age.

Profitability shows how efficiently a company generates profit by optimizing the use of its owned assets. To management and investors, profitability provides a yardstick to assess how effectively a company uses its assets to achieve profitability. This research aims to investigate the impact of receivable turnover, debt-to-equity ratio, inventory turnover, and firm size on profitability. Employing a purposive sampling approach, the study sampled 9 Indonesian pharmaceutical companies listed on the Indonesia Stock Exchange between 2019 and 2023. Multiple linear regression analysis was employed as a statistical testing tool to analyze secondary data from annual reports. The results show that receivable turnover, inventory turnover, and firm size do not significantly impact profitability, while the debt-to-equity ratio has a significant negative effect.

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.

This study aims to analyze the relationship between demand and supply of skipjack tuna at the Fish Auction Place (TPI) Sedati, Sidoarjo Regency. Data were collected through observations, interviews, and literature studies. The research results indicate that fish prices, community income, and supply costs significantly influence the demand and availability of fish at TPI Sedati. Proper stock management is necessary to maintain a balance between demand and supply to improve fishermen's welfare and market efficiency.

Keluarga Jaya Pharmacy is a shop that provides various types of medicines and medical devices where the transaction process is still done traditionally, recording the stock of medicines and medical devices also still uses excel files. Of course, because of this, the transaction process to recording the stock of goods becomes longer and less accurate. Inaccurate and incomplete data on medicines and medical devices often causes medicines that are approaching their expiration date not to be detected as soon as possible. Therefore, the author decided to build a web-based drug stock inventory application at the Keluarga Jaya pharmacy. This system will be able to solve the problems that are currently still being experienced at the Keluaga Jaya pharmacy. The drug stock inventory system that the author built in this study is modeled into a class diagram and also a use case diagram. The results of the study are a web-based drug stock recording system at the Keluarga Jaya pharmacy that has features for logging in, managing master data, managing sales, managing returns, managing reports and logging out.

PT Bumi Daya Plaza faces various obstacles in managing inventory because it still relies on a manual system based on Microsoft Excel. This approach causes a number of problems, such as recording errors, low data security, and limited real-time access, which negatively affect operational efficiency and customer satisfaction. This study aims to develop a web-based inventory system to overcome these problems. This system is designed to be able to monitor stock in real time, automate the reordering process, and generate accurate reports automatically. The research methodology includes interviews, observations, and document analysis to ensure user needs are met. The implementation results show that this system can improve work efficiency, reduce recording errors, and strengthen data-based decision making. With this innovation, PT Bumi Daya Plaza is expected to increase competitiveness and respond to market needs more effectively.

This research aims to analyze cash turnover, receivables turnover and inventory turnover on profitability in textile and garment subsector companies listed on the Indonesia Stock Exchange (BEI) for the period 2018 to 2023. This research uses quantitative methods. The population of this research is all textile and garment subsector manufacturing companies listed on the IDX. The sample in this study used purposive sampling totaling 16 textile and garment subsector manufacturing companies listed on the IDX. The data collection technique in this research uses secondary data. Data analysis used the classic assumption test, then multiple linear regression analysis was carried out, and continued with hypothesis testing using the SPSS version 25 software program. The results of this research show that cash turnover and accounts receivable turnover have no effect on profitability. Meanwhile, inventory turnover affects profitability. Simultaneously cash turnover, accounts receivable turnover and inventory turnover together influence profitability  

XYZ is a manufacturing company that produces Yamaha brand motorbike parts such as electrical switches, electrical sockets, lever assembly and horns. Many of the products sent were returned by customers because they did not meet quality standards, for example in March 2024 there were 1,420 pcs out of a total of 19,900 pcs that were returned. This means that companies have to increase production time and costs to replace defective products that are returned because they do not have safety stock. Forecasting is needed to control the production system so that it does not experience over stock and safety stock shortages. This research aims to provide recommendations for forecasting methods that companies can use to minimize the occurrence of production excesses and shortages in the company. Forecasting is done based on historical company sales data for 12 months. The method used is the exponential smoothing method which is then tested whether this method can be used in the future. This calculation uses the help of POM-QM (Production Operation Management – Quantitative Method) software. Calculations are carried out by testing the MAD, MSE, and MAPE values to obtain calculation error values. The results obtained by forecasting the main sw srtg lock assembly product using the exponential smoothing method were 15,708 for demand for the next period, MAD 3.38, MSE 22.84 and MAPE value 26%. Based on these results, the exponential smoothing method can be a recommendation for companies to forecast future demand. This is because the value of forecasting accuracy or MAPE is reasonable. The smallest percentage of MAPE values has a fairly minimal possibility of error in forecasting results.

This study aims to analyze user satisfaction with the inventory management application for Regional-Owned Assets (BMD) at SMK Negeri 17 Jakarta using the SERVQUAL method. The application was implemented to enhance asset management efficiency, but challenges such as data inaccuracies and limited user skills hinder its effectiveness. The SERVQUAL method evaluates five service quality dimensions: tangibles, reliability, responsiveness, assurance, and empathy, by measuring the gap between user expectations and perceptions. The findings reveal that all service quality dimensions have negative GAP values, particularly in reliability and tangibles, indicating that the application has not fully met user expectations. Therefore, improvements in system reliability, application design, and technical training are essential to optimize the use of the application for effective asset management in the school.

This research aims to analyze the influence of cash management and inventory management on the financial performance of Ling Food Stores in Makassar City during the 2020-2022 period. The main focus of this research is to evaluate how cash and inventory management contributes to a company's liquidity, profitability and operational efficiency, which are measured through various financial ratios such as Current Ratio, Gross Profit Margin (GPM), Operating Profit Margin (OPM), Net Profit Margin (NPM), Return on Investment (ROI), and Return on Equity (ROE). The research results show that the Current Ratio in 2020 cannot be calculated due to the absence of short-term liabilities, while in 2021 and 2022 each was recorded at 0.095% and 0.216%, reflecting low liquidity. On the other hand, the decrease in Average Inventory from IDR 754,200 in 2021 to IDR 715,000 in 2022, followed by a significant increase in net profit, shows efficiency in inventory management. The increase in GPM, OPM, NPM, ROI, and ROE ratios from 2020 to 2022 reflects significant improvements in financial performance, indicating that more effective cash and inventory management can improve a company's financial health.

Accounting information systems and internal control are two important factors in company operations. These two things are related to each other and influence each other. This research focuses on evaluating the inventory, sales and receivables accounting information system to improve internal control at CV Karunia. This research uses qualitative methods with CV Karunia as the research subject. The data used is primary and secondary data from CV Karunia. Data collection was carried out by means of observation, interviews and documentation. The data obtained is then analyzed and a result is obtained. At CV Karunia, it was found that the implementation of tasks was not in accordance with its responsibilities. It is known that inventory, warehouse and goods receipt are carried out by the same department. Apart from that, the sales and receivables section can be carried out by many people in the company so that unrecorded sales transactions often occur. This occurs due to a lack of standard operational procedures related to clear division of tasks and inadequate evaluation from the company. So it is hoped that companies will create standard operating procedures, clear division of responsibilities, and carry out routine audits.

Teknologi blockchain menawarkan solusi inovatif untuk meningkatkan transparansi, efisiensi, dan keamanan dalam sektor pertanian. Penelitian ini mengkaji potensi dan tantangan implementasi teknologi blockchain di sektor pertanian melalui meta-analisis sepuluh jurnal. Hasil penelitian menunjukkan bahwa blockchain dapat memfasilitasi pelacakan produk secara real-time, mengurangi penipuan, dan meningkatkan manajemen persediaan. Studi kasus pada rantai pasok produk organik mengungkapkan bahwa blockchain memungkinkan konsumen memverifikasi asal produk, meningkatkan kepercayaan, dan membantu petani mendapatkan harga yang lebih baik. Integrasi blockchain dengan Internet of Things (IoT) dan kecerdasan buatan (AI) juga menunjukkan potensi besar dalam meningkatkan produktivitas dan efisiensi. Namun, tantangan utama seperti kurangnya pengetahuan petani dan biaya implementasi yang tinggi perlu diatasi melalui pelatihan, dukungan teknis, dan kolaborasi antara pemerintah, lembaga pendidikan, dan sektor swasta. Proyek percontohan di beberapa wilayah menunjukkan keberhasilan awal, dan pengembangan lebih lanjut akan meningkatkan adopsi teknologi ini. Kesimpulannya, dengan dukungan yang tepat, blockchain memiliki potensi untuk merevolusi sektor pertanian, meningkatkan kesejahteraan petani, dan menjamin kualitas produk bagi konsumen. Implementasi yang sistematis dan kolaboratif akan memastikan bahwa teknologi ini dapat memberikan manfaat jangka panjang bagi seluruh pemangku kepentingan dalam rantai pasok pertanian.

Inventory or stock is stored material or goods that will be used to fulfil a specific purpose. An inventory management system is a set of control policies to determine the level of inventory that must be maintained. XYZ Company is a food company that produces Cireng. In the production process, the amount of demand received by the company varies from period to period.  Based on the existing data, there is too much raw material stock that causes high storage costs for the company. Therefore, the EOQ method is needed to manage the company's inventory. From the data processing carried out in the POM-QM software, the output is obtained for tapioca flour raw materials where the total cost is Rp. 404,034,000 and the reorder point is 8 units, the output of the garlic raw material data where the total cost is Rp. 397,513,200 and the reorder point is 5 units, while the output of the flavouring raw material data where the total cost is Rp. 392,749,500 and the reorder point is 6 units. So as to obtain the optimal amount of inventory in each order, the total cost incurred and the reorder point value for each raw material of the XYZ company.      

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.