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The management of State-Owned Goods (SOG) is a crucial aspect of asset management that requires an effective and efficient system. This study aims to analyze the optimization of the State Asset Management Information System (SIMAN) as a tool for managing SOG at the Office of State Treasury and Auction Service (KPKNL) Semarang. Using a descriptive qualitative approach, this research evaluates the implementation of SIMAN in improving the accuracy, efficiency, and transparency of SOG management. The findings indicate that the implementation of SIMAN successfully integrates all aspects of SOG management into a comprehensive digital platform, accelerating the processes of inventory, recording, and reporting SOG. Furthermore, the system facilitates monitoring and auditing by providing real-time and accurate data. The improvement in coordination among units and the use of user feedback are key factors in the system's optimization. However, challenges related to human resource training and technological infrastructure support still require further attention. Overall, SIMAN has had a positive impact on organizational performance and has strengthened accountability and transparency in the management of SOG at KPKNL Semarang.

Manual inventory management at Toko Terang Abadi presents various challenges, including delays in reporting and high recording errors. This study aims to improve accuracy and efficiency in stock management by creating a web-based inventory information system using the Waterfall method. Data collection was conducted through interviews, direct observation of store activities, and literature review. The system was designed and implemented using PHP and MySQL, and tested using black-box testing methods to ensure all functions work according to user needs. Implementation results show that recording efficiency increased by 50% and input errors decreased by 90%. These findings support previous research highlighting the importance of digitalizing inventory systems in the SME and retail sectors to improve effectiveness and accuracy in managerial decision-making.

This community service program focuses on transforming financial management at Pharmacare Pharmacy Ciputat through the integration of digital accounting and strengthening human resource (HR) management. The background to this activity stems from the problem of partners who still rely on manual recording for financial transactions, inventory management, and report preparation. This condition results in inefficiency, late reporting, potential recording errors, and difficulties in strategic decision-making. In addition, limited HR competency in the use of digital accounting technology and the absence of financial standard operating procedures (SOPs) are major obstacles to improving organizational performance. The main objective of this activity is to implement an integrated digital accounting system capable of producing real-time financial reports, increasing inventory management efficiency, and building transparent financial governance. Simultaneously, employee competency is improved through intensive training and mentoring in the use of accounting software and the preparation of financial SOPs. The involvement of students and faculty in this activity aligns with the spirit of Independent Learning and Independent Campus (MBKM) and supports the achievement of the university's Key Performance Indicators (IKU), particularly in providing off-campus experiences and utilizing work results for the community. Through this program, it is hoped that Pharmacare Ciputat Pharmacy can improve operational efficiency, strengthen business sustainability, and provide more optimal healthcare services. More broadly, this activity contributes to community economic empowerment by strengthening the capacity of small businesses in the healthcare sector.

This study investigates how data visualization helps retail companies make Business Intelligence (BI)-based decisions. The study processed one year of sales data with a quantitative descriptive approach to find seasonal patterns, performance by region, and customer consumption tendencies. The analysis results show that BI software such as Microsoft Power BI can visualize data more easily and accelerate understanding of business performance. Strategic decisions such as promotional planning and product inventory management are more effective with interactive visualization, which allows decision makers to see data in a more understandable way. The study found that data visualization in BI systems can help retail businesses make better decisions. These results show the importance of incorporating BI into a company's operational processes and using interactive visualization to improve overall business performance.

Acute Coronary Syndrome (ACS) is a medical emergency that is still a major cause of global morbidity and mortality. The success of ACS treatment and prevention of recurrence is highly dependent on self-care. However, many ACS patients have difficulty performing self-care due to low self-efficacy. This study aims to explain the relationship between self-efficacy and self-care in ACS patients. This study used a correlation analytic design with a cross-sectional approach. The study population was 62 outpatients at the Heart Clinic, with a sample of 41 people selected using purposive sampling. Self-efficacy was measured using the Cardiac Self-Efficacy Scale (CSE scale) and self-care using the Self-Care of Coronary Heart Disease Inventory (SC-CHDI). The study was conducted in April-May 2025. Data were analyzed using the Pearson product moment correlation test. The results showed a p value of 0.004 (p <α), which means there is a relationship between self-efficacy and self-care in ACS patients. The direction of the relationship is positive, meaning that the higher the self-efficacy, the better the self-care, and vice versa with the closeness of the relationship in the weak category (r 0.437). Self-efficacy is positively related to better self-care behavior in ACS patients. Therefore, nurses can integrate self-care improvement care through comprehensive self-efficacy education.

The micro, small, and medium enterprises (MSMEs) sector plays a vital role in sustaining the national economy, particularly in food security and employment absorption. However, this sector remains highly vulnerable to economic disruptions, including large-scale layoffs in the industrial sector. This study aims to examine the socio-economic impacts of layoffs on the sustainability of traditional fish processing businesses. A descriptive qualitative approach was employed, with data collected through semi-structured interviews with a traditional fish processor who has operated since 1990 in Tanjung Morawa, Deli Serdang, North Sumatra. The findings reveal that layoffs have led to a significant decline in consumer purchasing power, resulting in a drop in daily production volume (from 20 to 5–8 baskets) and increased waste due to unsold inventory. The lack of innovation, absence of adaptive strategies, and minimal external support have further exacerbated the business’s vulnerability. Therefore, policy interventions and capacity-building programs are essential to enhance the resilience of MSMEs amid labor market fluctuations.  

This community service program was designed to enhance the inventory management skills of santri at Pesantren Assyifa through the use of spreadsheet technology. Many pesantren-based business units still rely on manual inventory methods, leading to inefficiencies, stock errors, and operational delays. To address this issue, a structured training program was conducted involving 25 selected santri actively engaged in the pesantren’s economic units. The program consisted of three interactive sessions covering basic inventory concepts, spreadsheet functions, and hands-on design of inventory tracking systems. Using tools like Microsoft Excel and Google Sheets, participants were guided to create real-time stock records, calculate inventory movement, and generate reports. The success of the training was measured through pre- and post-tests, spreadsheet project submissions, and participant feedback surveys. The results showed a 68% average increase in test scores, a 96% project completion rate, and a 4.6/5 satisfaction score. Additionally, 84% of participants applied the system directly within pesantren business units. Feedback from participants indicated high engagement, practical usefulness, and a strong desire for follow-up training. This initiative demonstrated the effectiveness of integrating digital tools into pesantren education, contributing to the development of digitally literate and economically empowered santri.

CV Mitra Grafika is a printing company where warehouse inventory management is still conducted manually, often resulting in data entry errors and delayed item distribution. To address these issues, a web-based Warehouse Management System (WMS) is needed to assist in stock monitoring, item transactions, and reporting processes. This study aims to design and develop a WMS website using the CodeIgniter 3 (CI3) framework and the SB2 Admin interface template. The development methodology used is the waterfall model, consisting of requirements analysis, design, implementation, and testing. The system includes key features such as item data management, warehouse transactions, reporting, and user role-based access (admin, staff, manager, director). The results indicate that the system successfully improves warehouse operational efficiency, accuracy, and structure.

PT. Surya Cahaya Kembar or known as Cozy Mart aims to improve the delivery process and inventory management by using a web-based warehouse management information system. Companies have difficulty monitoring stock and distribution accurately as their business grows rapidly. The system analysis and software development method used in this research is Agile, which allows quick adjustments to user needs. The system is designed to include delivery tracking, stock management features and reports to assist staff in making decisions. System design uses Unified Modeling Language (UML) which describes system functionality as a whole. Test results show significant improvements in user satisfaction, as well as the speed and accuracy of warehouse management. PT. Surya Cahaya Kembar (Cozy Mart) hopes to reduce operational errors and optimize business processes by implementing this system. This helps the overall growth of the company.

Manual stock management systems are still commonly used in electrical equipment sales businesses, often leading to problems such as inaccurate data recording, delayed reporting, and potential data loss. To overcome these issues, a web-based inventory management information system was developed to automate the recording of incoming goods, outgoing goods, damaged items, and lost items. A case study was conducted at Toko Dhanisa Mandiri Jaya, which previously relied on manual bookkeeping using physical logs. The system was developed using the Waterfall method, involving stages such as requirements analysis, system design, implementation, testing, and maintenance. Data collection was carried out through observation, interviews, and literature review. The system includes key features such as inventory data management, transaction processing, reporting, and user management. The implementation results indicate improved operational efficiency, reduced recording errors, and the availability of real-time inventory data to support managerial decision-making. This system is expected to help the store modernize its business processes with better accuracy and control.

This study is to develop a web-based inventory management information system for grocery merchants in order to speed up the stock recording process. The system is built according to the waterfall style of system development, using PHP and MySQL. Data collection techniques include observation, interviews, and literature research. As a result, store managers can improve operating efficiency and reduce errors in manual stocktaking by using a system that allows real-time product stock input, updating, and monitoring. This study provides a practical digital solution to support the digitization of small businesses in Indonesia.

The purpose of this study was to obtain data on irrigation assets in the Grojogan irrigation network at this time, to analyze the performance conditions of the Grojogan Irrigation Network system (very good, good, less or poor), to obtain the results of the Grojogan irrigation system performance index from the results of the performance assessment using the ePAKSI application. The results of the irrigation asset management inventory include the main building consisting of 1 dam. The carrier channel consisting of a secondary channel of 1.71 km and a tertiary channel of 2.62 km. The building on the carrier channel consisting of 5 regulatory buildings and complementary buildings (4 culverts, 2 waterfalls, 6 inlets, 1 side spillway building, and 4 bridges). The performance conditions of the irrigation system are included in the Poor Performance (J) criteria so that immediate attention and handling are needed. The overall results of the Irrigation System Performance Index (IKSI) from the performance assessment of the main irrigation system and tertiary irrigation system are 51.18% (<55%)

 In today's digital era, efficient and accurate inventory management is crucial to support operational effectiveness in business sectors, including retail optics stores. Optik Retna, a retail optical business, previously utilized Microsoft Excel for stock management, which led to various limitations such as restricted multi-user access, risk of data loss, and lack of real-time reporting. To address these challenges, a web-based inventory system was designed and implemented using the Agile methodology. The system was developed using HTML, CSS, JavaScript, PHP, and MySQL, and includes key features such as inventory tracking, expense and return management, transaction recording, sales reporting, and user administration. The implementation results demonstrate that the system enhances work efficiency, simplifies the recording of incoming and outgoing goods, and supports faster and more accurate decision-making at Optik Retna. Therefore, this system provides a practical contribution to the digital transformation of small and medium-sized enterprises in the optical sector.

Manual transaction and stock recording at Ubay Galon causes various issues, such as data loss, record inaccuracies, and lack of real-time access. This study aims to design and develop a web-based sales information system to improve operational efficiency and data accuracy. The research was conducted at Ubay Galon, South Tangerang, using the Waterfall development method. Data collection techniques include observation, interviews, and literature studies. The system was designed using UML and implemented with web technologies. The result is a sales information system that records transactions, manages inventory, and generates automatic and real-time reports. The system also enhances data security with login and automatic backup features. In conclusion, the system effectively supports the digital transformation of Ubay Galon's business processes.

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

Stockpiles are accumulations of materials such as coal or ore stored at specific locations. Accurate stockpile volume measurement is crucial in the mining and logistics industries for inventory management and cost efficiency. Conventional methods like Real-Time Kinematic (RTK) GPS rely on surface coordinate measurements but require numerous points, especially for irregular-shaped objects. Newer technologies like Terrestrial Laser Scanners (TLS) offer high-precision alternatives by capturing thousands of points per second, expediting and enhancing the resolution of volume measurements. This study compares TLS and RTK GPS methods in measuring the volume of andesite rock stockpiles at PT Bara Tabang. This research uses a quantitative approach, involving six Ground Control Points (GCPs) measured using the Sokkia GRX2 RTK GPS on October 24, 2024. TLS generated over 8.6 million point cloud data filtered down to 35,197 points, while RTK GPS yielded 2,276 coordinates. Accuracy testing showed very small RMSE values (RMSEr: 0.008 m; RMSEz: 0.007 m), and both LE90 and CE90 demonstrated 90% confidence within a 0.012 m range. Volume calculation using Surpac software with the cut and fill method showed TLS produced a volume of 18,766 bcm (51,982 tons/m³), while RTK GPS resulted in 18,694 bcm (51,782 tons/m³), with a difference of 72 bcm or 0.211%.These results indicate that both methods offer acceptable accuracy; however, TLS provides greater data density, efficiency, and precision, particularly for complex or large-scale stockpile objects. Therefore, TLS is recommended for high-accuracy volume measurement in mining operations that require efficiency and detailed analysis.

This study aims to examine the storage and arrangement system of facilities and infrastructure implemented at SMPN Nuris as an effort to improve the effectiveness of the learning process and the efficiency of school management. Well-managed facilities and infrastructure can create a safe, comfortable learning environment that supports the achievement of educational goals. The research method used is a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation. The findings show that although SMPN Nuris has a relatively structured system of storage and organization, there are still several challenges such as limited storage space, lack of regular maintenance, and minimal use of technology in inventory management. This study offers recommendations for improving the management system of facilities and infrastructure to support better school governance.

This research investigates the implementation of stock opname procedures in the General Affair warehouse at PT Bernofarm Pharmaceutical Company, a major pharmaceutical manufacturer. The study responds to the problem of discrepancies in inventory data, which can disrupt operations due to inaccurate recording or delays in documentation. The objective is to analyze the effectiveness and structure of stock opname procedures in controlling non-productive inventory. A qualitative descriptive method was employed, utilizing observation and interviews with Accounting and General Affair warehouse staff to collect primary data. The findings reveal that stock opname at PT Bernofarm is conducted periodically through coordinated stages: scheduling, preparation of inventory data, physical inspection, data reconciliation, reporting, and inventory adjustment. The procedures are carried out collaboratively between the Accounting and General Affair divisions, with clearly defined responsibilities and documentation such as stock cards, credit memos, and goods receipts. Despite a difference in theoretical and practical implementation—where inventory recording is managed by warehouse staff rather than accounting—the presence of functional segregation and supervisory checks ensures effective internal control. The study concludes that a structured and consistent stock opname process improves data accuracy, minimizes discrepancies, and enhances accountability. This research is limited to non-productive inventory in a single company division, and further studies are suggested to explore digital solutions or comparative analyses across industries.

Inventory management of raw materials is a crucial aspect in the manufacturing industry, particularly in the pharmaceutical sector, as it directly affects the continuity of the production process. This study aims to analyze the raw material inventory accounting system in inventory control at PT Bernofarm Pharmaceutical Company. The methods used include direct observation of operational processes and interviews with management to obtain relevant and accurate data. The results of the study show that PT Bernofarm has implemented an integrated accounting information system within an ERP framework, covering procedures for raw material requisition, issuance, return, and recording of production costs. Each procedure is systematically arranged with clear task separation and is fully computerized. This facilitates internal control and monitoring of raw material flow, while minimizing recording errors. With this effective system, the company is able to avoid both overstocking and stock shortages that could disrupt production. This study is expected to serve as a reference for improving the efficiency and accuracy of raw material inventory management in other pharmaceutical companies.

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.