Publication Search

Efficient drug inventory management is a critical factor in ensuring medicine availability and optimizing procurement budgets in healthcare facilities. This study aims to analyze drug inventory at Tritya Eye Clinic Surabaya using the ABC (Always, Better, Control), VEN (Vital, Essential, Non-Essential), and EOQ (Economic Order Quantity) methods to improve procurement budget efficiency. A quantitative descriptive approach with a case study method was employed. Data were collected from drug usage records, stock opname reports, and procurement documents from in 2024. The findings reveal that the combined ABC-VEN method effectively identifies priority drug groups based on consumption value and clinical importance, while the EOQ method determines optimal ordering quantities to minimize total inventory costs. The integrated application of these methods successfully reduces overstock and stockout incidents and enhances procurement budget efficiency. This study recommends inventory management based on historical usage data and strategic classification to achieve more accurate and cost-effective drug procurement planning.

This study proposes a hybrid approach combining Frequent Itemset Mining (FIM) and Algorithms and Genetic Algorithm for product layout optimization with a case study at PT. MPI Pharmacy. The FIM Algorithms is employed to extract association rules from 1,000 beauty product sales transactions, while the Genetic Algorithm is utilized to perform product placement based on these rules generated, with storage space constraints. Implementation results demonstrate that this hybrid approach successfully identifies 18 key association rules (support >15, confidence >80%) and proposes an optimal layout configuration model that reduces customer travel distance by 25 compared to conventional layouts used by MPI Pharmacy. The Genetic Algorithm solves complex rule-based optimization problems for product placement, which are limited by traditional market basket analysis (MBA) approaches that rely solely on association rules. This hybrid sistem not only improves pharmacy operational efficiency at PT MPI (reducing service time by 18) but also increases cross-selling opportunities by 22. Hence, inventory operations management impproved efficiently. The research findings contribute to the field of retail space optimization by effectively integrating association rule mining and evolutionary computation.  

The advancement of information technology has significantly transformed modern audit practices, particularly in inventory audits. This study aims to analyze the impact of the Audit Tools and Linked Archive Sistem (ATLAS) application on the effectiveness and efficiency of inventory audits in the digital era. A qualitative approach was employed through observation and interviews with auditors who utilize ATLAS in their audit procedures. The findings indicate that ATLAS improves audit speed, enhances documentation, and supports the accuracy and transparency of financial reporting. Despite challenges such as limited client system integration and auditor adaptation, internal training and data digitization strategies prove to be effective solutions. Thus, ATLAS serves not only as a documentation tool but also as a system that strengthens the overall quality and accountability of inventory audits.

This study explores how Aman Kuba Coffee Shop in Yogyakarta manages its raw material inventory to maintain product quality and deliver excellent customer service. Effective inventory management is crucial to ensuring consistent coffee flavor and customer satisfaction. This research employs a qualitative method using a case study approach, involving direct observation of inventory management practices at the shop. Data were collected through interviews with the owner, manager, baristas, and customers; on-site observations; and examination of documents such as stock records and quality standards. The findings reveal that a structured and consistent inventory system plays a key role in preserving raw material quality. Moreover, efficient inventory management positively influences customer satisfaction and supports the overall operational efficiency of the coffee shop.

In response to increasing competition in the manufacturing sector, PT X—a copper busbar manufacturing company—implemented Lean Manufacturing supported by Value Stream Mapping (VSM) to improve production efficiency and reduce supply chain costs. This study utilizes VSM, Value Stream Analysis Tools (VALSAT), and Root Cause Analysis (5 Whys) to identify sources of waste and formulate improvement strategies. The analysis identified three dominant wastes: waiting time, product defects, and excess inventory. These were mainly caused by the lack of standardized material procedures, inadequate supporting equipment, and poor integration between the incoming inspection process and the Enterprise Resource Planning (ERP) system. To address these issues, the study proposes installing silica rolls, providing air wipers and flatness tools, developing standardized work instructions, and integrating Internet of Things (IoT) technology with the ERP system for real-time monitoring. As a result of implementing these solutions, PT X successfully reduced its defect rate from 6.23% to 1.32%, decreased lead time, and achieved notable savings in supply chain costs. The findings demonstrate that integrating Lean Manufacturing principles with VSM can effectively eliminate non-value-added activities, streamline production processes, and enhance overall competitiveness. This study reinforces the strategic value of Lean tools in continuous improvement initiatives within the manufacturing industry.

This study is dedicated to the design and implementation of a web-based inventory management platform for PT. Paramata Baraya International. replacing the manual Excel system that is ineffective and susceptible to mistakes. The Rapid Application Development (RAD) method is chosen for its quick and iterative approach to software development. The system is built using the Next.js framework and PostgreSQL as the database, with Prisma ORM for database management. Key features include item management, real-time status tracking, calibration, maintenance, equipment rental, and automatic notifications. The implementation results show a 60% increase in item search efficiency, 95% data accuracy, and an 80% reduction in manual input errors. This study is significant as a solution for companies engaged in calibration and maintenance of measuring instruments.

This study discusses the application of inventory accounting in micro-enterprises, particularly at Toko Benih Tamban Tani, located in Kedawung Village, Mojo District. The main issue addressed is the suboptimal recording and calculation of inventory costs in accordance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). As a vital component of business operations, inventory should be managed systematically to accurately reflect the financial position and support operational efficiency. This research employs a descriptive qualitative approach. Data were collected through interviews, observations, and the collection and analysis of relevant documents, complemented by quantitative calculations using the Economic Order Quantity (EOQ) method to assess purchasing efficiency. The analysis aimed to describe current practices and compare them to the standards set forth in SAK EMKM. The findings indicate that inventory recording is still performed manually without a formal accounting format, and several operational costs such as shipping fees, electricity, and other supporting expenses have not been included in the calculation of the cost of goods sold. Additionally, based on EOQ analysis, the actual purchasing frequency is higher than the optimal amount, indicating inefficiencies in inventory procurement.

Motor vehicle workshops need an information system that can help in managing services, customers, and spare parts stock. This study designs a web-based workshop management system with a case study at the Fam Auto workshop, which aims to improve operational efficiency and data transparency. The methodology used is the waterfall system development model with stages of analysis, design, implementation, and testing. The results of this study are a web-based application that is able to record service transactions, manage customer data, monitor inventory, and generate reports. This system is expected to replace the manual process that has been used at Fam Auto and make it easier for workshop owners to monitor operational activities in real-time.

This study aims to analyze the influence of leverage (DER), free cash flow (FCF), and operational efficiency using inventory turnover (ITO), and receivables turnover (RTO) on company value, with company size as a control variable, in food and beverage sector companies listed on the Indonesia Stock Exchange for the 2018–2023 period. The method used is panel data regression with the Fixed Effect Model approach. The results of the study show that leverage has a significant negative effect, and inventory turnover has a significant positive effect on the company's value. Meanwhile, FCF and RTO had no significant effect, while company size had a negative effect. Robustness checks with PBV as proxy for alternative values showed relatively consistent results. These findings support the signal theory, that operational efficiency and a well-managed financial structure can strengthen investors' perception of a company's value.

We designed and implemented a web-based inventory system to address challenges in managing inventory and financial data at Toko bangunan Mutiara. With high daily transaction volumes and a wide variety of products, manual recording often leads to errors, inaccuracies in inventory data, and difficulties in monitoring cash flow. To address this, we developed the system using the Agile/Scrum development model, which allows for flexibility and adaptation to user needs through the stages of Requirements, Design, Development, Testing, Deployment, and Review. The system was developed using web technology, including PHP and JavaScript for the backend, HTML and CSS for the frontend, and MySQL as the database system. The main features we implemented include two integration options: barcodes and unique product codes to simplify recording, automatic notifications when stock reaches the minimum level set by the system, and the ability to generate accurate reports. It is hoped that this research, which was designed to enhance operational efficiency in recording incoming and outgoing goods, provide flexible and accurate access to inventory data, and minimize errors in recording and inaccurate data, will be successful. The implementation of this system contributes to more accurate inventory management and supports better financial decision-making for Toko bangunan Mutiara.

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.

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.

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.

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.

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.

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.  

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 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.

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.