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This research investigates the application of the Economic Order Quantity (EOQ) method to improve drug inventory management in a primary hospital pharmacy, with a particular focus on reducing storage costs. A descriptive quantitative approach was applied using secondary data from January to December 2024, covering annual demand, purchase price, ordering cost, and holding cost. The analysis concentrated on fast-moving vital essential and moderate vital drugs that are critical for sustaining patient treatment. The study revealed inefficiencies in the hospital's procurement practices, with some medicines simultaneously facing overstock and stockout risks, indicating weak planning. EOQ calculations provided alternative procurement quantities that were smaller but more frequent, resulting in lower storage costs and better stock control. Simulation outcomes demonstrated notable cost savings, particularly for Flamicort, Diazepam, and Ventolin. These findings emphasize the value of integrating EOQ into hospital pharmaceutical logistics to reduce financial losses, strengthen supply chain efficiency, and ensure the continuous availability of essential medicines in primary hospital settings.

The purchase of secondhand goods, known as thrifting, involves acquiring and reselling pre-owned clothing at low cost. Originating from Western practices during the Great Depression in the United States, this activity is no longer solely about financial considerations it is also an effort to protect the ecosystem by reducing fashion waste and addressing the adverse impacts of fast fashion, such as pollution and unethical labor practices. In Indonesia, thrifting has expanded rapidly since the 2010s, supported by the creative industry, online access, and platforms like Shopee and Tokopedia. It contributes 10% to the nation’s creative economy (BPS 2022), with export value reaching Rp 100 trillion. This phenomenon has gained traction among young generations such as millennials and Gen Z, often aligning with local cultural traditions. In Maumere, a small city in East Nusa Tenggara with limited access to international fashion, thrifting has emerged as a primary option for students. Stores offer t-shirts, blouses, and dresses priced between Rp 20,000 and Rp 50,000, which suits their modest financial circumstances. Jeanette’s (Aunt Cindy’s) business focuses on top garments like crop t-shirts and crop blouses, leveraging online marketing through TikTok, Instagram, and Facebook to compensate for the store’s less-than-ideal location. This study employs a qualitative approach with direct interviews with Jeanette, using SWOT analysis for evaluation. Strengths: Affordable pricing and alignment with current fashion trends enhance customer loyalty. Weaknesses: Delayed inventory arrivals, "PHP" behavior (holding items without purchase), ineffective management, and limited product options. Opportunities: Adoption of digital technology and fashion trends. Challenges: Domestic competitors and low-priced imported goods. This study provides strategic guidance for small businesses in remote areas to adapt to the digital era.

This study ims to analyze the implementation of a real-time inventory management system, identify challenges in the current inventory process, and provide appropriate solutions. Based on observations, inventory data management at PT. Tirta Investama still relies on manual and semi-computerized methods, resulting in inventory discrepancies, delays in information updates, difficulties in real-time monitoring, and inefficiencies in report generation and distribution processes. This research employed Library Research and Field Research methods. The system involves two user roles, namely Supervisors and Checkers. Supervisors are responsible for managing products, incoming and outgoing goods, transactions, and user accounts, while Checkers verify document consistency for goods processing activities. The system was developed using PHP Native and MariaDB version 10.4.27. The implementation of this system is expected to improve inventory monitoring in real time, enhance data accuracy, minimize recording errors, support faster decision-making in procurement and distribution activities, and facilitate more efficient report generation.

The development of information technology (IT) has become a crucial element in improving operational efficiency and business competitiveness in the digital era. This study aims to design an information technology infrastructure strategy for a local skincare company that currently still faces obstacles due to fragmented communication processes and manual data recording. The research method uses the Ward and Peppard framework, supported by SWOT and Value Chain analysis to identify the internal and external business environment and formulate an IS/IT strategy that aligns with the business strategy. The research approach is descriptive qualitative through interviews, observations, and literature studies. The analysis results indicate that the main problem lies in the lack of infrastructure capable of integrating production, distribution, and inventory management processes. Based on these findings, this study recommends designing an infrastructure strategy that supports the implementation of the integrated system "Sivendor". This system functions as a hub that connects workflows between production vendors, warehouses, and sales departments. In conclusion, this study produces a blueprint for an adaptive IT infrastructure strategy as a technical foundation to minimize data errors, improve operational efficiency, and support real-time decision-making.

In the fast-moving fashion retail industry, supply chain efficiency is a key factor in operational success. Heybeb Factory Outlet, as one of the retail business actors, faces challenges in managing the flow of goods from upstream to downstream, particularly in balancing demand between offline (physical stores) and online (e-commerce/marketplace) channels. This proposal aims to design and analyze the logistics workflow starting from goods ordering (restocking) from the central warehouse, the goods receiving process, rigorous Quality Control (QC) procedures, storage in a dedicated transit warehouse, and the stock distribution mechanism (stock split) for the two sales channels. The main issues identified include the risk of overselling in one channel while stock accumulation occurs in another, as well as the potential for defective items to pass through due to an unstructured QC process. This study employs a descriptive qualitative approach by mapping out an ideal Standard Operating Procedure (SOP). The expected outcome is the development of an integrated inventory management system capable of minimizing return rates caused by defective items and maximizing inventory turnover through accurate stock allocation between online and offline divisions.

Indonesia's adolescent pregnancy prevalence necessitates comprehensive determinant identification for evidence-based preventive strategy formulation. This research analyzes correlations between reproductive health knowledge, parental role functioning, and peer influence on teenage pregnancy among female adolescents in Ciseeng Health Center, Bogor Regency, West Java Province. Cross-sectional design employed among 65 adolescents aged 15-19 years during October 2024-January 2025 using stratified random sampling. Data collection utilized validated questionnaires based on WHO Adolescent Sexual and Reproductive Health Indicators, Parental Monitoring and Support Scale, and Peer Pressure Inventory with Cronbach Alpha (α=0.84; 0.81; 0.79). Demographic characteristics showed 60% aged 17-19 years, 40% aged 15-16 years, with 55.4% experienced pregnancy validated through medical records. Univariate analysis identified knowledge deficiency (64.6%), parental dysfunction (63.1%), and high peer influence (66.2%). Chi-Square analysis confirmed associations of low knowledge (p=0.001; OR=3.5; 95% CI=1.8-6.7), inadequate parental roles (p=0.002; OR=3.2; 95% CI=1.6-6.1), and dominant peer influence (p=0.001; OR=3.8; 95% CI=1.9-7.2) with adolescent pregnancy. Multivariate logistic regression identified peer influence as strongest predictor (AOR=3.80; 95% CI=1.67-8.65).

The prevalence of hypertension in the elderly continues to increase and is a major cause of morbidity and mortality. Uncontrolled blood pressure can lead to serious complications such as heart disease, stroke, and kidney failure. Anxiety, which is often experienced by the elderly, also plays a role in worsening hypertension through activation of the sympathetic nervous system and increased stress hormones. This study aims to determine the relationship between anxiety levels and the incidence of hypertension in the elderly at the Kuta Alam Community Health Center in Banda Aceh City. The study used a quantitative method with a cross-sectional analytical design. The study population consisted of 145 elderly people with hypertension, with a sample of 59 people selected through a purposive sampling technique. The study was conducted from April 28 to May 8, 2025. Anxiety levels were measured using the Geriatric Anxiety Inventory (GAI) questionnaire, and blood pressure was measured using a digital sphygmomanometer. Data analysis was carried out univariately and bivariately using the Chi-square test. The results showed that the majority of respondents experienced panic anxiety (39.0%) and Grade III hypertension (44.1%). There was a significant relationship between anxiety levels and the incidence of hypertension in the elderly (ρ = 0.000; ρ < 0.05). In conclusion, anxiety influences the severity of hypertension, so psychological aspects need to be considered in elderly health services at the Kuta Alam Community Health Center.

This study evaluated drug inventory management in a primary hospital pharmacy using the Economic Order Quantity (EOQ) method. A descriptive quantitative design was applied with secondary data collected from January to December 2024, covering annual demand, purchase price, ordering cost, and holding cost. The analysis revealed inefficiencies, as several drugs simultaneously faced overstock and stock out risks, indicating weaknesses in procurement planning. EOQ calculations suggested lower and more frequent procurement, reducing storage costs and improving stock control. The findings demonstrated that applying EOQ could minimize financial risks, optimize resource allocation, and ensure continuous access to essential medicines. This research highlights the relevance of structured inventory models in supporting hospital efficiency and sustainable pharmaceutical logistics, particularly in resource-limited primary hospitals.

The construction industry faces major challenges in managing material inventory, particularly among start-up companies that still rely on paper-based manual records. Such practices often lead to data inconsistencies, delays in decision-making, and project inefficiencies. This study aims to analyze the implementation of a cloud-based and real-time inventory management system utilizing spreadsheets at PT X, a start-up contractor located in Karanganyar, Central Java. The research employs a qualitative case study approach, with data collected through direct observation, semi-structured interviews with finance staff, logistics administration staff, and the project manager, as well as documentation of material inflows and outflows. The findings reveal that the use of cloud-based spreadsheets enhances data transparency, facilitates real-time monitoring between field and office, and accelerates stock opname validation. The system also supports more responsive decision-making regarding material reordering and request postponements. Nevertheless, several obstacles remain, including limited digital literacy among staff, potential input errors, and reliance on internet connectivity. Theoretically, this research contributes to the literature on accounting information systems and inventory management in small-scale construction sectors. Practically, it demonstrates that low-cost cloud solutions can improve operational efficiency and serve as a foundation for developing more integrated systems in the future.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia’s economy. However, most business actors have not fully implemented proper inventory accounting in accordance with standards. This study aims to analyze the recognition, measurement, presentation, and disclosure of raw material inventories at Pabrik Super Jaya and evaluate their compliance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). This research employed a qualitative descriptive method with primary data obtained through observation, interviews, and documentation. The results indicate that inventory recognition is still manual, using notebooks without formal evidence. Measurement is based on raw material costs, labor, and daily expenses, without formal methods such as FIFO or average. Financial reporting is limited to a simple income statement without detailed inventory or notes to financial statements. Disclosure is limited to physical quantities and nominal values. Thus, Pabrik Super Jaya’s inventory practices are not fully aligned with SAK EMKM standards

Menarche is the first transitional period marked in women, known as the first menstruation (menarche). During menarche, physical and psychological changes occur, such as anxiety and sadness, due to the physical changes in this period. The changes usually include pubic hair, armpit hair, and breast development. This often happens among elementary school students, including those in SDN Lampeuneurut. This study aims to determine the relationship between parental support and the level of anxiety in girls facing menarche in SDN Lampeuneurut. This research employed a quantitative method with a cross-sectional design. The population consisted of 120 female students in grades 5 and 6 at SDN Lampeueneurut who had not yet experienced menarche. The sample was selected using purposive sampling, resulting in 55 respondents who met the inclusion criteria. This research was conducted from June 18th to 20th, 2025. The instruments used were a parental support questionnaire and the STAI (State Trait Anxiety Inventory) of anxiety questionnaire. The data were analyzed using a bivariate statistical test, the Chi-Square test. The research findings indicated a significant relationship between parental support and the anxiety levels of female students in facing menarche, with a p-value of 0.011 (p-value < 0.05). This study concludes that parental support is related to a decrease in the anxiety levels of girls facing menarche. This study recommends that schools provide basic reproductive health education from an early age, especially regarding menarche, and that parents understand the importance of providing emotional, informational, instrumental, and appreciative support.

This study develops a strategic information system plan to improve customer service at the Food Mood MSME in the food and beverage sector. The Ward and Peppard framework is used to map the business and technology environment through Value Chain, SWOT, PEST, and Porter's Five Forces analyses, which are then broken down into Critical Success Factors and measurable key performance indicators. The research design is a qualitative case study with semi-structured interviews with the owner and employees, observations during peak hours, and a review of operational documents. The mapping results in a prioritized portfolio that places a cloud-based point-of-sale system integrated with QRIS, a lightweight inventory and procurement module, a kitchen display system, and basic accounting as the foundation, followed by a mini customer relationship management and loyalty program, online channel integration, a sales dashboard, and simple demand forecasting. The formulated performance targets include a wait time of no more than eight minutes, an order error rate below one percent, stock-outs of less than one day per month, and 100% transaction recording. The suggested three-month roadmap is operational and provides immediate benefits in terms of increased service speed, data accuracy, and potential customer retention, while also confirming the relevance of Ward and Peppard's approach for the Indonesian MSME context.

This study aims to present evidence on the effect of capital intensity, inventory intensity, and leverage disclosure on tax avoidance. This research utilizes secondary data from financial statements sourced from www.idx.co.id and the official websites of companies in the property and real estate sectors using quantitative research. The proxy used in measuring tax avoidance is using the effective tax rate (ETR) as the dependent variable and the independent variables used include capital intensity, inventory intensity, and leverage. Multiple linear regression analysis is the analysis technique used. The property and real estate sector listed on the IDX in the period 2021 to 2024 is the population in this study and the number of samples collected is 85 data obtained using the purposive sampling method. The findings of this research indicate that capital intensity, inventory intensity, and leverage significantly influence tax avoidance positively. These findings suggest that the higher the level of investment in fixed assets, inventory, and debt-to-equity ratio, the greater the tendency of a company to engage in tax avoidance.

This research seeks to evaluate how asset and logistics management innovation enhances operational efficiency in the Household Division of the East Java Provincial Secretariat. The study focuses on the bureaucratic reform initiative aimed at attaining transparent, accountable, and effective asset management via digital transformation. The emphasis lies on how digital inventory systems, purchasing methods, and asset allocation aid in minimizing budget waste and improving efficiency. This research utilized a qualitative descriptive strategy through a case study technique. Data were gathered via extensive interviews, direct observation, and analysis of internal documents, subsequently undergoing data reduction and triangulation to confirm validity. The results indicate that the adoption of the e-inventory system has enhanced administrative efficiency by as much as 30%, but issues persist with data integration and employee digital skills. Additionally, the lack of a real-time public monitoring system restricts transparency in logistics management. The research advises enhancing employee training, creating cohesive SOPs, and adopting technology-driven assessment systems. These actions are anticipated to promote effective, efficient, and sustainable asset management in the East Java Provincial Secretariat.

This study aims to compare two methods of raw material inventory management, namely Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ), in improving efficiency and reducing operational costs at Konveksi Arey Hijab. The main problem faced by this company is the irregularity in raw material inventory management, which causes wasteful costs, especially ordering costs and storage costs. Based on raw material purchase data in 2024, which recorded a total purchase of 26,203 kg with a total cost of IDR 1,834,573,300, this study uses a descriptive quantitative approach to compare the two methods. The results of the study show that the EOQ method produces lower inventory costs, namely IDR 16,568,074, compared to the POQ method. The application of the EOQ method can reduce the frequency of excessive ordering, while the POQ method is more effective for ordering periods that are adjusted to seasonal demand. This study recommends that Konveksi Arey Hijab adopt the EOQ method to optimize raw material inventory management, reduce wasteful costs, and improve the company's operational efficiency.

This study was conducted to determine the effect of reward and punishment on employee performance at PT Cakra Sanjaya AC. In this company, employee performance determines the smooth running of daily operations, including inventory management, customer service, and product delivery. Therefore, the reward and punishment system is used as an effort to increase employee motivation, discipline, and productivity.Despite the implementation of the reward and punishment system, there was a significant difference in employee responses. Employees who received rewards showed a 15% increase in performance, while those who received punishments experienced a decrease in motivation and work enthusiasm. This research uses quantitative methods with descriptive and verification approaches. The sampling technique used was saturated sampling, with a total of 36 employees as respondents.The results showed that reward has a positive and significant effect on employee performance. Punishment also has a positive and significant effect. Simultaneously, reward and punishment together contribute significantly to improving employee performance. Therefore, the application of rewards and punishments in a proportional, targeted, and sustainable manner is very important to create a productive, disciplined, and highly competitive work environment. In addition, companies need to conduct periodic evaluations of the effectiveness of the two systems in order to adjust HR management strategies according to the needs and dynamics of the organization, so that company goals can be achieved optimally.

The implementation of the Frequent Pattern Growth (FPG) algorithm in a web-based drug purchasing application at Sumber Sehat Pharmacy aims to improve efficiency and accuracy in analyzing customer drug purchasing patterns. The FPG algorithm is a method used to identify frequent purchase patterns or frequent itemsets in purchase transactions, which can then be used to make relevant drug recommendations for customers. This study uses a case study at Sumber Sehat Pharmacy to explore drug purchasing patterns and provide a data-driven solution that can help pharmacies improve service and adjust drug stocks according to customer needs. The results show that the application of the FPG algorithm can identify significant purchasing patterns and assist pharmacies in determining more appropriate promotional strategies and inventory management. By using a web-based application that implements this algorithm, Sumber Sehat Pharmacy can provide drug recommendations that are more in line with customer preferences, thereby increasing customer satisfaction and pharmacy operational efficiency.

Building materials sales are an important sector in the construction industry, which requires an efficient system to manage transactions, inventory, and customer relationships. In an effort to improve the performance and efficiency of the sales process, this study proposes the implementation of a building material sales system using the Rapid Application Development (RAD) method at Toko Merah Delima. The RAD method was chosen for its ability to speed up the application development process with an iterative approach that involves direct user feedback. This research aims to design and implement a system that can automate the sales process, monitor stock of goods, and produce reports that can be accessed easily. The developed system includes integrated sales transaction management features, stock management, and sales reports. The results of the implementation of this system show increased efficiency in the management of transactions and stock of goods, as well as making it easier to monitor sales reports in real-time. By using the RAD method, this system can be developed in a shorter time and more in accordance with the operational needs of the store. This research is expected to contribute to the development of information systems for the building materials trading industry.

This study aims to describe the level of anxiety, stress, and depression in women undergoing In Vitro Fertilization (IVF) program and to see the distribution of psychological disorders based on sociodemographic characteristics and the stage of IVF program undertaken. The design of this study was descriptive quantitative with purposive sampling technique on 28 women who were undergoing IVF cycles in infertility clinics in Yogyakarta Special Region. Data were collected online through a questionnaire containing Hamilton Anxiety Rating Scale (HARS), Perceived Stress Scale (PSS), and Beck Depression Inventory-II (BDI-II) instruments. Descriptive analysis showed that most respondents experienced moderate anxiety (42%), mild stress (38%), and mild depression (36%). The analysis also showed that sociodemographic characteristics, such as age older than 35 years, non-working employment status, and low education, had a higher tendency towards psychological disorders. In addition, certain phases of IVF, such as the waiting phase after embryo transfer, appeared to be associated with increased levels of anxiety and stress. This study emphasizes the importance of more intensive psychological support, especially for women who are in the more stressful stages of IVF, as well as for those with sociodemographic risk factors that increase their vulnerability to psychological disorders.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in supporting national economic growth and expanding employment opportunities in Indonesia. However, many MSMEs still face significant challenges in improving production efficiency due to limited human resources, low levels of technology adoption, and suboptimal operational management. To address these issues, this study developed an innovative digital technology platform designed to help MSMEs enhance productivity, reduce material waste, and accelerate the production process. The platform integrates Internet of Things (IoT), Artificial Intelligence (AI), and simplified Enterprise Resource Planning (ERP) technologies tailored for small business operations. Through IoT, production processes can be monitored in real time; AI is applied to analyze sales data and predict material requirements and production schedules; while the ERP system automates inventory, transaction, and financial reporting processes. Trials conducted across MSMEs in the food, handicraft, and textile sectors demonstrated a 30% improvement in production efficiency and a 20% reduction in operational costs. The results indicate that the implementation of innovative technological platforms can significantly enhance efficiency, accuracy, and competitiveness among MSMEs. Digital transformation not only increases production efficiency but also enables broader business integration into the global market through cloud-based systems. Government and institutional support are essential to expand the adoption of such technologies, ensuring that Indonesian MSMEs become more adaptive, productive, and sustainable in the era of Industry 4.0.