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Improving organizational performance in the future requires the integration of information technology that not only plays a supporting role, but also as the main tool to ensure success in providing the best service to the community. The role of information technology in the work system has brought significant changes in the world of work, although the main challenge is to improve the competence of human resources which is crucial for the successful performance of government agencies. This systematic research adopted the Preferred Reporting Items for Systematic Reviews approach, by analyzing full articles in English and Bahasa Indonesia. With the implementation of an effective management information system, organizations can manage data and information more efficiently, which in turn enables more accurate and timely decision-making. This contributes significantly to increasing productivity, reducing operational costs, and responding more quickly to changes in the market or business environment. In addition, management information systems also play an important role in human resource management, inventory management, project management, and employee performance evaluation.  

This research aims to determine the role of online travel agents (OTA) in increasing room sales at the Swiss-Belinn Karawang Hotel. In an increasingly competitive hotel industry, collaboration with OTA platforms has become an important strategy to expand market reach and increase occupancy rates. This study uses a qualitative analysis method by collecting interviews and surveys from hotel management and guests. The research results show that collaboration with OTAs significantly increases the visibility of hotels in the global market, reduces marketing costs, and increases occupancy rates through increasing the number of bookings. In addition, an efficient inventory management system and positive reviews from guests on the OTA platform contribute to the optimization of the hotel's revenue and reputation. Thus, OTA plays an important role in the marketing and sales strategy of Hotel Swiss-Belinn Karawang, which directly impacts increasing room sales and overall hotel business growth. This research suggests that hotels should continue to strengthen partnerships with OTAs and optimize the use of data and technology provided by these platforms to achieve better results in the future.

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

PG Madukismo is a sugar factory that was established in 1955 and is the only sugar factory in the province of the Special Region of Yogyakarta. This factory is located in Padokan Village, Tirtonirmolo Village, Kasihan District, Bantul Regency, Special Region of Yogyakarta. PT Madubaru, a company engaged in sugar cane processing, is a sugar and spirits factory located in the Yogyakarta area. Companies that produce cane sugar with SHS IA quality. Product defects are often found, resulting in a decrease in quality, therefore it is necessary to carry out quality control. This study uses the Failure Mode and Effect Analysis (FMEA) method to identify failure modes, Logic Tree Analysis (LTA) to determine the consequences of failure arising from failure modes and determine effective preventive maintenance policies for each machine. For the production quality control section, the Statistical Processing Control (SPC) method is used to analyze product defects to determine whether product defects are still within controllable limits or not. While the Failure Mode and Effect Analysis (FMEA) method is used to determine the failure mode in sugar production. For the quality control section on raw materials using the Economic Order Quantity (EOQ), Re-Order Point (ROP), Safety Stock (SS), and Total Inventory Cost (TIC) methods. The conclusion of this study is regarding the results of the analysis and calculations carried out with several settlement methods and there are several causes of production defects from 5 factors, such as: human factors, work methods, environment, raw materials and machines used. And provide solutions to companies in order to reduce defects by controlling product quality.    

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.      

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

CV Cielofood Pratama is a beverage processing business with nutmeg raw materials, located in Bogor City, West Java. The company produces syrups with varying sizes of packaging. The multi-stage production process does not rule out the possibility of irregularities that could cause the product to no longer meet the quality standards we set. In general, business units have a profit goal for business sustainability, by seeking efficiency in operations in order to obtain profitable profits. Analysis of the data shows the difference between corporate policy and the results of the EOQ method. The company usually orders 25 kg of raw materials with a frequency of 120 times per year. However, the EOQ method recommends ordering 144 kg with a frequency of 36 times per year. In addition, there is a significant difference in the total cost of supplies, which is IDR 30,900,000 according to company policy and IDR 10,392,000 according to EOQ method. This study aims to analyze strategies in raw material supply as an effort for supply chain efficiency. Using the Economic Orders Quantity (EOQ) method Reduce storage costs, save space on both storage and workspaces, resolve problems and reduce the risk that raw material supplies may pose.  

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

The need for soybeans in Indonesia increases along with population growth, with demand reaching 2.7 million tons in 2023. Soybeans are an important raw material in the food industry, especially for processed products such as tempeh. This research aims to analyze the control of soybean supplies in the Bogor Regency Tofu and Tempe Cooperative (KOPTI) using the Economic Order Quantity (EOQ) method. The Economic Order Quantity (EOQ) method was chosen because it is able to optimize the costs of ordering and storing raw materials. Primary data was obtained through interviews with KOPTI owners and employees. The analysis results show that the optimal order quantity is 333,371 kg with an order frequency of 4 times per year. In addition, the safety stock required is 82,252 kg, and the reorder point is 85,865 kg. Using the EOQ method can save total inventory costs from IDR 14,332,491.57 to IDR 910,102.39. This research suggests KOPTI to apply the Economic Order Quantity (EOQ) method to increase cost efficiency and maintain stable raw material supplies.

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

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

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.

Inventory of goods at MI is an important process to ensure smooth operations and learning. With a good inventory system, MI can manage its goods effectively and efficiently, so that it can support the achievement of its educational goals. Administration of goods equipment or goods inventory in MI includes activities such as recording, coding and reporting goods inventory. This includes inventory items (such as tables, benches, whiteboards) and non-inventory items (such as markers, erasers, pencils). The inventory process aims to create goods administration, financial savings, and effective supervision of these goods. Inventory activities of educational facilities and infrastructure in schools include planning, procurement, distribution, use, maintenance and disposal of goods. Inventory recording of goods is carried out in various books, such as the goods inventory master book, goods inventory class book, non-inventory goods record book, quarterly report list, inventory item mutation, and annual recapitulation list. A computerized goods inventory system can help organizations increase efficiency and effectiveness of goods management. This system can help organizations save time and costs, increase productivity, and make better decisions regarding goods management.

PT XYZ is an industrial company that produces tools. In this research, the problem that must be resolved, namely the issue of raw material inventory control that occurs at PT XYZ, will be resolved using the Economic Order Quantity (EOQ) method using POM-QM software. By using the Economic Order Quantity (EOQ) method, it is hoped that it can solve the raw material inventory control problems that occur at PT XYZ so that the costs incurred by the company are optimal. So, PT XYZ can solve the problem of controlling raw material inventory with the help of the POM-QM application to facilitate the calculation process. Based on the analysis and data processing that has been carried out, it is known that the optimal quantity of raw material A output per order is 150 units with a total cost of IDR 270,596,000 and a reorder point value of 7 units. For raw material B, the optimal quantity per order is 241 units with a total cost of IDR 2,439,490,000 and a reorder point value of 53 units. For raw material C, the optimal quantity per order is 94 units with a total cost of IDR 425,200,400 and a reorder point value of 7 units. For raw material D, the optimal quantity per order is 82 units with a total cost of IDR 217,229,600 and a reorder point value of 5 units. So the raw material that has the most influence in the tool making process at PT XYZ is B because it has the largest reorder point value.    

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

UMKM Kedai Bu Nur is a food and coffee shop business located in FOOD 18. However, UMKM Kedai Bu Nur has not implemented good inventory management in running its business. The number of orders for raw materials is only based on estimates and there is no inventory cost calculation. This research aims to find out how Kedai Bu Nur is managed in terms of managing ingredients for beverage sales products in the shop using the EOQ, ROP and maximum inventory methods. Data collection was carried out through documentation, interviews and observation. The results show that the EOQ of Gooday coffee is 85 pack, Luak coffee is 42 pack, pop ice is 28 pack, Indocaffe coffee is 21 pack, ice cubes are 212 balls, sugar is 7 kg, siller is 1 roll. Gooday coffee ROP 14 pack, luak coffee 12 pack, pop ice 12 pack, Indocaffe coffee 12 pack, ice cubes 132 balls, sugar 12 kg, siller 1 roll. Maximum supply of gooday coffee 95 pack, luak coffee 52 pack, pop ice 38 pack, Indocaffe coffee 31 pack, ice cubes 332 balls, sugar 17 kg, siller 2 rolls.

Stock-taking is one way to maintain stock inventory by physically counting the stock of goods in the warehouse. However, it is not uncommon for companies to face data mismatches between existing records in the system and actual conditions in the warehouse on an ongoing basis. This problem can cause losses for the company in terms of quality, quantity, and storage costs. The DMAIC method (Define, Measure, Analyze, Improve, Control) is one method that can be used to overcome this problem. Based on data processing, it is obtained that the causes of stock-taking mismatches are outgoing goods that have not been inputted in the system, returns of goods that have not been inputted in the system, errors in inputting incoming goods into the system, different part numbers, incoming goods have not been inputted in the system with the largest percentage of causes being outgoing goods that have not been inputted at 49.60%. As for one of the efforts to control stock-taking discrepancies by making reports based on stock-taking deviation data within a certain period of time so that it can continue to reduce the occurrence of stock-taking discrepancies.

The rapid development of the industry has driven the emergence of various technologies that can support the industry, especially in production activities. Production activities are the actions performed by humans to generate a product, be it goods or services, which are then utilized by consumers. These activities operate around the clock to produce products that meet market demand. For smooth production activities, manufacturing industries need to provide raw materials that meet targets and create plans before operating, with inventory levels set to ensure that needs are met in terms of quality, quantity, time, and low cost as planned. PT XYZ is a fruit juice manufacturer with avocado juice being its most popular product. The production of avocado juice was analyzed over the period of 2015-2020 using Vensim software with four scenarios to assess the availability of raw materials. The research findings reveal that the total availability of flour raw materials in 2020 was 10,000 tons; 9,450 tons; 9,500 tons; 10,150 tons; 11,400 tons; 13,250 tons. To address the issue, PT XYZ can monitor fruit stocks and periodically estimate fruit seasons.    

The inventory problem that still occurs at PT Indonesia Plafon Semesta is the accumulation of resin and calcium raw materials which results in considerable losses. PT Indofon began to experience a buildup of resin raw materials in August amounting to 16,100Kg and for calcium amounting to 15,200Kg so that each month it soared until its peak in October, namely a buildup of 23,500Kg of resin, and 23,200Kg of calcium. The use of the right method for inventory control problems is Just In Time , which is a management strategy used to optimize the production process and product delivery by buying and producing only when needed and at the right time. Silver Meal Heuristic, a heuristic approach used in inventory control to determine the optimal lot size. The quantity of raw material orders using JIT is relatively more than the silver meal, but with JIT the supplier only needs to send 4-5 times, meaning that the company can save costs. The quantity and frequency obtained from data processing using silver meal is more optimal. However, the cost of raw material inventory incurred is quite large. For a decrease in efficiency costs by implementing a policy of making purchases with Just In Time  (JIT) and is expected to save on raw material inventory costs. So that these cost savings can be allocated by the company to other costs.

This study aims to describe the recording and valuation of merchandise inventory at Indomaret Basuki Rahmat Jambi City based on Statement of Financial Accounting Standards (PSAK) Number 14 Concerning Inventory and find out the obstacles encountered in carrying out merchandise calculations at Indomaret Basuki Jambi City. This type of research used in this research is descriptive qualitative research. The data collection techniques used are observation, interviews, documents and informants. The research results showrecording and valuation of merchandise inventory at Indomaret Basuki Rahmat City of Jambi is carried out based on the Statement of Financial Accounting Standards (PSAK) Number 14 Concerning Inventory, namely by recording inventory, measuring inventory, costing inventory, recognizing expenses and disclosing inventory. Indomaret Basuki Jambi City uses the FIFO (First In First Out) inventory valuation method. Obstacles encountered in carrying out the calculation of merchandise at Indomaret Basuki Jambi City are calculation errors, layout of goods, supervision that is not optimal, employee negligence and communication, inventory does not match warehouse capacity, and lack of employee cooperation.