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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.

In facing fluctuations in the demand for spare parts at PT. SUN STAR MOTOR SURABAYA to avoid shortages that could disrupt its business operations, the company must ensure it can meet customer demands for specific items or orders. This means the company will lose an opportunity to earn profits. Before applying Safety Stock, Reorder Point, Economic Order Quantity, Maximum Inventory, and Total Inventory Cost, the company frequently faced spare parts stock shortages. To solve this issue, Safety Stock, Reorder Point, Economic Order Quantity, Maximum Inventory, and Total Inventory Cost are applied to determine order quantity, order time, and inventory levels for reordering. The results from inventory calculations can help determine the optimal spare parts needs for the company.

This study analyzes the implementation of the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM) at Alfapro Stationery. The analysis results indicate that Alfapro Stationery has applied several basic principles of SAK EMKM in preparing its financial statements, such as recognizing fixed assets based on acquisition costs, recording inventory, and recognizing revenue and expenses. The financial statements prepared include the statement of financial position, income statement, and notes to the financial statements, supported by a computer-based accounting system (AIO System) that helps generate automatic financial reports every month, thereby increasing accuracy and transparency. However, Alfapro Stationery has not been able to separate personal and business assets, violating the "Separate Economic Entity" concept, which is fundamental in preparing financial statements according to SAK EMKM. Although the company's financial statements formally appear to meet the requirements of SAK EMKM, the lack of clear separation between personal and business assets indicates non-compliance with the standard. Further research can focus on a more in-depth analysis of the effectiveness of the internal control system, evaluating the impact of the latest technology on store operations, better human resource management strategies, and comparative studies with other UMKM that have best practices. This aims to provide broader perspectives and innovative solutions to be implemented at Alfapro Stationery.

State-owned goods (BMN) that have been acquired must undergo proper management, which includes a series of activities such as bookkeeping, inventorying, and reporting of BMN by legal provisions. This is based on the Indonesian Minister of Finance Regulation No. 181/PMK.06/2016, Article 1, concerning the management of BMN. Optimization, in this context, refers to the goal of improving or refining existing performance to make it better than before. Therefore, the optimization of asset disposal at the AAL (Naval Academy) work unit must be implemented to ensure proper data management in Simak BMN. Over time, the value of these assets will depreciate annually, leading to the eventual disposal of BMN when they no longer hold any value or function and only incur maintenance costs compared to acquiring new BMN. At the Naval Academy, there is still a deficiency in the disposal of BMN that should have been removed from the BMN list, primarily due to insufficient coordination between work units, which results in poor reporting in the SIMAK BMN system. The researcher focuses on the Naval Academy in conducting this study within the work units in the AAL environment. This study is a qualitative descriptive research, utilizing data collection methods such as observation, interviews, and documentation. The research findings indicate that: 1) The disposal process at the Naval Academy work unit has not been carried out effectively. 2) There are still BMNs that have not been removed from the BMN list but should have been. 3) There is a lack of personnel knowledge in each work unit regarding asset disposal, disrupting the reporting process in Simak BMN.

Companies often face various obstacles related to managing raw material inventory to meet demand, one of which is Peuyeum Ketan Istimewa. Working in the food processing industry, of course, raw material inventory management needs to be planned optimally to avoid various risks that can harm the company. The Quantity Discount model is used to take advantage of cost savings provided by suppliers when purchases are made in large quantities, while other efforts that can help manage raw materials in a company are by knowing the safety stock and reorder point of raw materials and also forecasting demand to predict future demand. This study will use the Quantity Discount model which optimizes inventory levels by considering storage costs, ordering costs, and quantity discounts. The calculations carried out are also to find the value of the company's Safety Stock and Reorder Point. The results of this study indicate that the use of the Quantity Discount method can reduce total costs by Rp26,319,267/year, while forecasting using the seasonality method increases the accuracy of demand predictions, thus enabling more efficient inventory management. The implementation of this model is expected to provide a significant contribution to operational efficiency and cost reduction at Peuyeum Ketan Istimewa

This research aims to examine the effect of synergy between the application of digital technology and entrepreneurial orientation on the performance of coffee shop MSMEs in Bojonegoro. The results of the analysis show that the combination of these two variables significantly improves business performance, exceeding the individual impact of each variable. These findings underline the importance of a holistic approach in developing MSMEs in the digital era, which combines technological innovation with. entrepreneurial spirit. The use of technology such as online ordering applications, inventory systems and data analysis allows MSME coffee shops to operate more efficiently, saving time and costs, as well as reducing errors. This research provides important implications for the government and relevant stakeholders to design policies that support the adoption of digital technology by MSMEs such as technology service providers, business consultants and the entrepreneurial community can accelerate the digital transformation process. as well as a more targeted entrepreneurial capacity development program.This research aims to examine the effect of synergy between the application of digital technology and entrepreneurial orientation on the performance of coffee shop MSMEs in Bojonegoro. The results of the analysis show that the combination of these two variables significantly improves business performance, exceeding the individual impact of each variable. These findings underline the importance of a holistic approach in developing MSMEs in the digital era, which combines technological innovation with. entrepreneurial spirit. The use of technology such as online ordering applications, inventory systems and data analysis allows MSME coffee shops to operate more efficiently, saving time and costs, as well as reducing errors. This research provides important implications for the government and relevant stakeholders to design policies that support the adoption of digital technology by MSMEs such as technology service providers, business consultants and the entrepreneurial community can accelerate the digital transformation process. as well as a more targeted entrepreneurial capacity development program.

Inventory control is a crucial element in supporting the smooth production process in manufacturing companies. PT Bonecom Tricom, a producer of automotive spare parts, faces challenges in managing SPP-C05 Black plastic pellets due to inaccurate estimation methods, resulting in material accumulation in storage. This study aims to propose inventory planning using time series and min-max methods to optimize material requirements. The results show that the Holt-Winter's Multiplicative method provides the best forecasting accuracy with the lowest error rate (MAPE) of 2%. Furthermore, implementing the min-max method can reduce inventory costs by 14.245%. This study is expected to serve as a reference for companies to manage material inventory more effectively and efficiently.

Harapan Baru is a crab procurement business that serves as a critical link between fishermen and pond farmers. Crabs, as the primary commodity, are subject to significant price fluctuations and quality variations. This study aims to evaluate the economic viability of Harapan Baru's operations by analyzing costs, revenue, and profitability. Employing a critical incident technique, the research found that the First-In-First-Out (FIFO) inventory management method and Economic Order Quantity (EOQ) model significantly enhance operational efficiency. By ensuring timely inventory turnover and optimizing order quantities, these methods mitigate risks associated with demand variability, climate change, and operational challenges. Moreover, the study underscores the essential role of mangrove ecosystems in sustaining crab populations and the economic benefits derived from this natural resource. The integration of technology and SWOT analysis highlights the potential for Harapan Baru to enhance its competitive advantage and contribute to the long-term sustainability of the fisheries industry.

The rapid growth of the business world is forcing companies to adopt automation and efficiency to survive and compete. PT. Varia Usaha Beton, a concrete manufacturer, relies heavily on an accounting system for raw material purchasing to ensure efficient operations. The purpose of this research is to evaluate the company's raw material purchasing accounting system, identify problems and recommend improvements. The research method used is descriptive and qualitative with a case study approach. Primary data was obtained through interviews and observations, while secondary data was obtained through company documents. The research results show that the system works well and supports cost control, inventory management and quality monitoring. However, there are several vulnerabilities such as human error, technical issues with the ERP system, and weather-related delays in shipping raw materials. Recommended improvements include improved employee training, optimizing the ERP system, and developing more efficient inventory management. This research provides insights into the importance of evaluating accounting systems to improve the efficiency and effectiveness of business operations. Further research is recommended to conduct comparative analysis with other companies and explore new technologies to increase purchasing management transparency and efficiency

Emerging technologies are transforming warehouse operations, and this study investigated the effectiveness of implementing the Internet of Things (IoT), Radio-Frequency Identification (RFID), Artificial Intelligence (AI), and Robotics into warehouse operations. A descriptive correlational research design was employed, utilizing surveys to gather data from warehouse personnel and focusing on key performance indicators such as inventory accuracy, order fulfillment efficiency, cost reduction, and timely delivery satisfaction. The findings revealed a high level of familiarity with RFID and IoT among warehouse personnel, and a strong belief in the positive impact of these technologies on warehouse operations. However, challenges such as implementation costs, technical issues, and regulatory compliance were identified. Surprisingly, the analysis did not reveal a significant relationship between the implementation of these technologies and their overall effectiveness on warehouse operations. Future research should consider qualitative methodologies and larger sample sizes to explore other factors influencing warehouse performance.

The development in the business world with sharp competition makes companies have to think more or review their business strategies. Improvements in all areas are very important in the development of today's business world, such as increasing productivity, efficiency and service, all of which have become the key to increasing company excellence. To increase efficiency in purchasing activities can be achieved in many ways, one of which is the Just In Time purchasing system. Just In Time is a method that is essentially to reduce waste through purchases in the right amount and time supported by the best quality. According to the results of the discussion that has been carried out, it can be concluded that the factors contained in the Just In Time purchasing system can be applied at CV Prima Jaya because its application can make inventory costs more efficient. In addition, there were also obstacles to quantity, quality, and suppliers. All of that can be overcome by maintaining good relations with suppliers. The implementation of this Just In Time purchasing system cannot be done directly but must be gradual.

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

The purpose of the study is to determine and analyze the effect of Operating Cost, Sales, Cash Turnover, Receivable Turnover, and Inventory Turnover on Net Income of Various Industrial sub sector companies listed on the Indonesia Stock Exchange (IDX) in the period 2019- 2023. In this study, a purposive sampling method is used, which obtained 37 companies. The data analysis used in this study is multiple linear regression analysis using SPSS software version 22 and Microsoft Excel 2019. The results of this study indicate that Operating Cost and Cash Turnover has no effect on Net Income. At the same time, sales have negative significant effect on Net Income, Receivable Turnover have negative significant effect on Net Income, and Inventory Turnover have positive significant effect on Net Income.    

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

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

PT Shoes Bata Tbk is a company engaged in the manufacture of leather shoes, canvas shoes, casual and sports shoes, injection/slop sandals and industrial footwear safety mats. Financial performance is a description of the financial condition of a company which is analyzed using financial analysis tools, usually the measure used is the ratio. Research conducted by the author to analyze the financial performance of PT Shoes Bata Tbk based on profitability ratios and activity ratios. The profitability ratio can be measured by Gross Profit Margin, Net Profit Margin, and Return on Investment. Where Gross Profit Margin and Net Profit Margin are ratios that measure the company's ability to earn profits on sales, Return on Investment is a ratio that measures the company's ability to use all assets owned to generate profits after tax. The activity ratio can be measured by Receivable Turnover, which is a ratio that measures the company's ability to quickly manage the level of accounts receivable turnover. Inventory Turnover is a ratio that shows how quickly inventory turns over in sales activities. And Total Asset Turnover is a ratio that measures a company's ability to create sales using all the assets it owns. The aim of this research is to find out and analyze the financial performance of PT SEPATU BATA Tbk during 2016-2021 based on the two ratios. This research uses a descriptive qualitative approach method. The data source used is secondary data in the form of profit/loss financial report data and balance sheet reports. The results of this research indicate that the financial performance of PT Shoes Bata Tbk for the 2016-2021 period based on GPM is considered very good because the company was able to reduce the cost of goods sold, resulting in high sales and high gross profit. NPM is considered not good because the net profit generated is less with quite high sales. ROI is considered very poor because the high total assets are not commensurate with the net profit generated. RT is considered very good because it increases every year. IT is considered very poor due to the decrease in cost of goods sold and increase in average inventory each year. TAT is considered quite good because the company is able to manage its assets well. Financial performance as measured by the profitability ratio and activity ratio can be said to be less efficient, because the components of the profitability ratio and activity ratio are still low and do not reach good company standards.

Starting a home bakery and donut business is an attractive option for many individuals who have skills in cooking or baking, as well as an interest in the food industry. By taking advantage of time flexibility and lower initial costs than opening a physical store, this business offers the potential to generate additional income or even become a main source of income. Supporting quality and innovative food products on the menu can win the hearts of local customers and support the community economy. Although there are challenges in terms of licensing, operational management, and adapting to market changes, strategic steps in market research, business planning, product development, marketing, and inventory management can help build a successful and sustainable business in this sector. In conclusion, starting a bakery and donut business at home is not only about cooking skills, but also about creativity, effective business management, and commitment to providing added value to customers and the community as a whole.

Lean Inventory Management is a systematic approach that focuses on reducing waste in the inventory management process to improve operational efficiency and reduce costs. This study aims to analyze the impact of Lean Inventory Management implementation on reducing inventory costs in manufacturing companies. This research uses a case study method in a manufacturing company that has implemented Lean Inventory Management. Data were collected through in-depth interviews, direct observation, and analysis of company documents. The analysis techniques used include descriptive and comparative analysis to measure changes in inventory costs before and after implementation. The results showed that the implementation of Lean Inventory Management succeeded in significantly reducing inventory costs. Some of the strategies implemented include the implementation of Just-In-Time (JIT), reduction of buffer inventory levels, improved coordination with suppliers, and the use of information technology for real-time inventory monitoring. In addition, the company also noted improved operational efficiency and customer satisfaction as a positive impact of implementing Lean Inventory Management. This study concludes that Lean Inventory Management is an effective approach to reduce inventory costs in manufacturing companies. Proper implementation of lean strategies can result in significant cost savings

PT Aaron Innovation is a company that focuses on marketing yummys mother and child products, such as breast milk, maternity food, and baby skincare. With the wider reach of consumers through the TikTok platform, the company faces the challenge of increasing product return rates. This study aims to optimize the product return process at PT Aaron Innovation by identifying and implementing strategies that can increase operational efficiency, reduce costs, speed up and improve the accuracy of return handling, and increase customer satisfaction. This study uses a descriptive qualitative approach with a survey method, collecting data through direct observation and interviews with sources. The results showed that the current returns system is not optimal, with ineffective SOPs and a lack of special areas for returns handling, causing delays and irregularities in handling returned products.

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.