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This study aims to identify and minimize waste in the process of procuring Food & Beverage raw materials at Hotel PXY Jasa Bali using the Lean Inventory Management approach. Observations over one month showed that the total procurement cost reached 47% of the total revenue, exceeding the ideal limit of 35%. One of the main causes is the inefficient and lack of synchronization between divisions in the Rhapsody platform, which causes waste in the form of defects, delays, over-processing, and transportation. This study uses the Value Stream Mapping (VSM) method to map actual conditions and Process Activity Mapping (PAM) to identify the type of activity based on the waste category. In addition, root cause analysis is carried out using the Root Cause Analysis (RCA) approach. The mapping results showed that out of the total lead time of 598.44 minutes, only 278.49 minutes or 46.54% were value-added activities. This finding indicates that the procurement process is not yet efficient and needs optimization. Several recommendations were given to minimize waste, such as clearer division of tasks, improved communication with vendors, and the procurement of supporting facilities to reduce physical movement between divisions. The implementation of this lean service is expected to be able to increase the efficiency of the logistics process and reduce the company's overall operational costs.

Health anxiety is a psychological condition characterized by excessive and persistent worry about having or developing a serious illness despite the absence of objective medical evidence. Among adolescents, health anxiety often manifests through recurrent somatic complaints that lead to repeated visits to primary health care services. This study aims to describe the dynamics of health anxiety in an adolescent and to examine the early response to a cognitive behavioral therapy (CBT) intervention delivered in a primary health care setting. This research employed a clinical case study design with a descriptive qualitative approach supported by quantitative assessment data. The participant was an adolescent presenting with recurrent physical complaints without identifiable medical pathology. Data were collected through clinical interviews, behavioral observation, and standardized psychological instruments, namely the Short Health Anxiety Inventory (HAI-18) and the Patient Health Questionnaire-15 (PHQ-15). Quantitative analysis focused on pre- and post-intervention score comparison, calculation of change scores, and the Reliable Change Index to evaluate individual-level change. The findings revealed a high level of health anxiety accompanied by low severity of somatic symptoms, indicating that psychological distress was primarily driven by maladaptive cognitive interpretations rather than physical pathology. Following the CBT intervention, a reduction in health anxiety scores was observed, reflecting an early improvement, although the change did not reach statistical significance based on the Reliable Change Index. These results suggest that CBT may produce meaningful early changes in health anxiety when implemented in primary health care settings, even with brief intervention formats. The study highlights the importance of early psychological assessment and intervention for adolescents with recurrent somatic complaints and supports the integration of mental health services within primary health care. However, findings should be interpreted cautiously due to the single-case design, and further research with larger samples and longitudinal follow-up is recommended

This study aims to determine the effectiveness of using Problem Based Learning (PBL) oriented E-LAPD to improve students' metacognitive skills on chemical equilibrium material, especially on the sub-material of factors that influence chemical equilibrium shifts. This study was conducted at SMAS Hang Tuah 4 Surabaya class XII-2 as many as 25 students. The type of research used is research and development (R&D) with a 4-D model that was tested on a limited basis using a one-group pretest-posttest design. Scoring on the pretest-posttest uses N-gain (normalized gain) which aims to determine the increase in metacognitive skills through the results of students' pretest-posttest scores. The results showed that the N-gain value for each component of metacognitive skills, namely planning skills, monitoring skills, and evaluating skills, obtained values ​​​​sequentially, namely 0.85; 0.73; and 0.74 which are included in the high category, from the assessment shows that the use of PBL oriented E-LAPD is declared effective in improving students' metacognitive skills. This is supported by the results of the Metacognitive Awareness Inventory (MAI) questionnaire, which showed a percentage of planning skills of 82.43% with very good criteria, monitoring skills of 81.86% with very good criteria, and evaluating skills of 77.67% with good criteria. These results indicate that the MAI questionnaire can support pretest-posttest data to determine the improvement of metacognitive skills in students.

Stock monitoring is a critical phase that must be performed regularly to maintain the accuracy and efficiency of inventory management. Continuous monitoring ensures that all items remain under proper oversight, thereby making stock management processes simpler, more controlled, and highly accurate. PT XYZ operates in the general contracting sector and provides a range of services, including land transportation, crude oil rental, heavy equipment and light vehicle rental, material supply, and well maintenance services. At present, stock monitoring at PT XYZ still relies on a general-purpose application designed solely for numerical calculations. This approach leads to several limitations in the current system, most notably the lack of a login feature and the requirement to recreate reports using a separate application. Based on these problems, this research aims to design a prototype of a stock monitoring information system at PT XYZ. The system is developed using the waterfall development model and documented using use case diagrams. The main output of this study is a prototype information system that allows users to change their own password, perform CRUD operations on data entities including users, items, categories, brands, units, vehicles, suppliers, incoming goods, and outgoing goods, generate various reports related to inventory/stock at PT XYZ.

This study aims to analyze the effect of e-commerce adoption on the sales performance of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. E- commerce adoption factors are measured through the dimensions of platform usage, technology integration, and digital marketing activities. Sales performance is assessed based on sales growth, market expansion, and increase in customer numbers. The research method uses a quantitative approach by distributing online questionnaires to 250 MSME owners in five major cities (Jakarta, Surabaya, Bandung, Medan, Makassar) who have used at least one e-commerce platform (such as Tokopedia, Shopee, Bukalapak, or a standalone website) for at least one year. Data were analyzed using multiple regression analysis techniques with the help of SPSS 25 software. The results show that e-commerce adoption has a significant positive effect on the sales performance of MSMEs. Specifically, technology integration (such as the use of inventory management and digital payment tools) and digital marketing activities (advertising and promotions on social media) are the most dominant factors. These findings provide practical implications for MSME owners and policymakers to further encourage digitalization by providing training and supporting infrastructure.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving economic growth; however, their production activities frequently face uncertainty in achieving predetermined targets. Such uncertainty arises from fluctuating market demand, delays in raw material supply, labor limitations, variations in processing time, and other technical constraints. Conventional deterministic production planning methods often fail to capture these real-world risks and variations, leading to less accurate and suboptimal decisions. Therefore, a more adaptive analytical approach that incorporates probability and uncertainty is required. This study aims to analyze the probability of achieving MSME production targets using the Monte Carlo Simulation method. This method models random production conditions by generating data based on probability distributions derived from historical records. Simulations are repeated through numerous iterations to estimate possible variations in production output and measure the likelihood of meeting targets. The results indicate that Monte Carlo simulation provides more realistic and comprehensive production forecasts compared to traditional planning approaches. By understanding both the probability of success and potential risks, MSMEs can design adaptive strategies, optimize resource allocation, manage inventory more effectively, and improve overall production planning accuracy to ensure long-term business sustainability in a dynamic environment.

In the rapidly evolving digital economy, the ability to anticipate transaction surges is a strategic asset for marketplace platforms to maintain operational efficiency. This research aims to build an accurate daily transaction volume forecasting system thru the implementation of an Extract, Transform, and Load (ETL) pipeline and Autoregressive Integrated Moving Average (ARIMA) predictive modeling. The dataset used is sourced from dataset_olshop.csv, which includes transaction history for the entire year of 2025. The ETL stage focused on data cleaning and handling missing values, while time series analysis began with the Augmented Dickey-Fuller (ADF) stationarity test, which yielded a significant p-value of 0.000006. The parameter model was optimized using the auto_arima algorithm, which determined the ARIMA(2,0,0) configuration as the best model. The evaluation results of the model show fairly stable performance with a Root Mean Squared Error (RMSE) value of 2.002 and a Mean Absolute Error (MAE) of 1.704 on the test data. Research findings reveal a consistently higher purchasing pattern during the mid-month and end-of-month periods, with an average of 5.52 daily transactions, compared to the beginning of the month, which saw 5.48 transactions. The 30-day forecast results provide valuable insights for online store managers to proactively adjust inventory and logistics workforce allocation strategies. This research concludes that integrating data engineering techniques and statistical analysis can provide predictive solutions for the dynamics of the digital market.

This study aims to analyze the inventory management practices of qurban cattle at Purnomo Sapi Mulyo Farm in Boyolali, Central Java, particularly in facing the surge in demand prior to Eid al-Adha. The research is motivated by the unique characteristics of qurban cattle inventory, which involves living assets, seasonal demand, and biological risks that differ significantly from conventional inventory management. A qualitative descriptive approach with a case study design was employed to capture in-depth information regarding inventory planning, procurement, storage, and sales practices. Data were collected through in-depth interviews with the business owner as the key informant, direct observation of operational activities, and documentation review. The findings reveal that inventory management at the farm is conducted in a responsive manner based on consumer orders, enabling the business to minimize overstock risks and operational costs. However, inventory recording remains manual and unstructured, potentially limiting the accuracy of cost calculation and long-term planning. Price fluctuations and supply availability are strongly influenced by the Eid al-Adha momentum, while cattle health and lead time are critical factors affecting inventory effectiveness. From a theoretical perspective, the study extends inventory management concepts to the context of live and seasonal inventory. Practically, the findings suggest that implementing a simple yet structured inventory recording system could enhance operational efficiency and decision-making accuracy in local qurban cattle farms.

The success of education delivery depends heavily on the quality of supporting elements, particularly educational facilities, which play a strategic role in supporting learning activities and achieving human resource development goals. This research is motivated by a gap in understanding regarding the effectiveness of the management process for facilities and infrastructure in improving learning quality, as well as the need to adapt to the dynamics of modern education. The purpose of this research is to examine the management process for educational facilities and infrastructure and its contribution to improving learning quality, based on the results of a literature review. The method used in this research is a descriptive qualitative approach with a literature review method, where data was obtained through critical analysis of scientific journals and academic literature. The research findings indicate that the management of educational facilities and infrastructure includes the stages of planning, procurement, inventory, utilization, maintenance, supervision, and disposal. Each stage is interrelated and plays a strategic role in supporting a more effective, efficient, and sustainable learning process. The implications of this research indicate that the management of educational facilities and infrastructure, carried out through a planned and sustainable process, plays a crucial role in supporting the improvement of learning quality.    

UMKM BPK Legend Batam is a Batak culinary business that serves Karo Roast Pork (BPK) as its main dish along with side dishes such as soup, saksang, and fried Indomie B2. In its operational activities, food product inventory management is still done manually and based on estimates, which can potentially lead to excess or shortages of ready-to-sell products. This situation can result in a decline in product quality, wasteful spending, and lost sales opportunities when demand increases. The objective of this community service activity is to design a more effective and efficient food product inventory control system through the application of the EOQ and ROP methods. The methods used include observation, interviews, and analysis of sales data and product availability per period. The results of the activity show that the application of EOQ is able to determine the optimal product inventory quantity, while ROP provides guidelines for the right time to replenish products. The product inventory control system that was designed helps BPK Legend MSMEs in reducing inventory costs, maintaining product availability, and supporting smooth service to customers.

The digital transformation era demands printing companies to strategically integrate information technology to enhance efficiency and competitiveness. CV Prima Puspasari still faces several challenges in business process management, such as unintegrated workflows, manual record-keeping, and limited utilization of information systems. This study aims to develop an Information Systems Strategic Planning (ISSP) using the Ward & Peppard method as the main analytical framework. The approach analyzes business and technology conditions through four domains: internal and external business environments, as well as internal and external IS/IT environments. The analysis combines SWOT Analysis, Value Chain Analysis, and the McFarlan Strategic Grid to identify strengths, weaknesses, opportunities, threats, and to determine application priorities. The results produce three main strategies: IS/IT business strategy, IS/IT management strategy, and IT infrastructure strategy. The recommended systems include Inventory Management System, Customer Relationship Management (CRM), Integrated Financial System, Human Resource Information System (HRIS), E-Procurement, and E-Commerce. This strategic planning is expected to serve as a roadmap for CV Prima Puspasari in implementing digital transformation, improving operational effectiveness, and strengthening its competitive advantage in the digital printing industry.

The use of Information Systems and Information Technology (IS/IT) is a crucial factor in improving the efficiency and accuracy of retail sector operations. PT XYZ, a retail-level staple goods provider, has implemented IS/IT to support sales recording, inventory management, security, and operational reporting. This study aims to assess the effectiveness, efficiency, security, and compliance of the information system used. The audit was conducted through observation, interviews, document review, and system testing, referring to the COBIT framework and the ISO/IEC 27001 standard. The audit results indicated that the system supported core operational functions, but weaknesses remained, including insufficient system documentation, limited access controls, and suboptimal data security and backup mechanisms. Furthermore, reliance on manual procedures has the potential to lead to errors and slow down service delivery. Therefore, system improvements, strengthening security controls, developing standard operating procedures, and enhancing the competency of human resources and IT infrastructure are needed. This audit is expected to support improved service quality and secure, effective, and sustainable IT governance at PT XYZ.

This study aimed to analyse the mineral water inventory management practices and improve production cost efficiency at PT. Pintar Sumber Mineral. The research utilized a quantitative descriptive method, with data collected through interviews, documentation reviews, and literature studies. The findings demonstrated that the company had successfully and effectively implemented the Economic Order Quantity (EOQ) model. This effective implementation was evidenced by: The increase in the EOQ value corresponding with the growth in annual demand. The implementation of specific inventory management strategies that supported cost efficiency. While significant demand growth led to an increase in ordering and holding costs, the strategy of adjusting the EOQ model was able to optimally mitigate the impact of these rising costs. This study concluded that the application of the EOQ model had made a positive contribution to the company's operational efficiency.

Production planning and inventory control are critical aspects of operations management, as they directly influence cost efficiency, resource utilization, and the continuity of the production process. Ineffective planning and inventory decisions may lead to excessive costs, production delays, or imbalances between supply and demand. The complexity of these problems, which often involve multi-period horizons and multi-stage decision-making processes, has encouraged the application of quantitative optimization methods, one of which is dynamic programming. This study aims to analyze and synthesize the application of dynamic programming in production planning and inventory control through a Systematic Literature Review (SLR) approach. The SLR process was conducted by systematically identifying, selecting, and analyzing 15 relevant national journal articles published between 2015 and 2024 and obtained from various recognized scientific databases. The reviewed literature indicates that dynamic programming is effective in supporting optimal decision-making by determining appropriate production quantities and inventory levels, minimizing total production and holding costs, and managing fluctuating demand conditions. In addition, this method helps reduce the risks associated with overstock and stockouts by considering sequential decision structures. However, the findings also reveal several limitations of dynamic programming, including high computational complexity, strong dependence on deterministic data assumptions, and limited flexibility in handling high levels of uncertainty. These constraints suggest the need for further methodological development or integration with other approaches to enhance practical applicability.

This study aims to analyze the effect of Current Ratio (CR), Debt to Asset Ratio (DAR), and Inventory Turnover on Earning Per Share (EPS). This research employs a quantitative method with a causal-comparative ex-post facto approach. The population includes food and beverage companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2023 period. The sampling technique used purposive sampling, resulting in 10 companies with a total of 40 observations. Data analysis was conducted using multiple linear regression utilizing SPSS version 25 software. The results indicate that partially, CR, DAR, and Inventory Turnover each have a significant effect on EPS. Simultaneously, these three independent variables significantly affect EPS with a determination coefficient of 83.7%. The implications of this study emphasize the importance of liquidity management, solvency, and inventory efficiency in improving corporate share profitability.

General practitioners play a crucial role in the delivery of healthcare services in public hospitals, where limited organizational resources and high service demands often place significant pressure on medical personnel. These conditions may disturb work–life balance, increase the risk of burnout syndrome, and ultimately lead to higher turnover intention. This study aimed to analyze the effect of work–life balance on turnover intention, with burnout syndrome acting as an intervening variable among general practitioners at RSUD Balaraja. An observational analytic design with a cross-sectional approach was applied, involving all 40 general practitioners working in the emergency department and inpatient units through a total sampling technique. Data were collected using standardized instruments, namely the Work–Life Balance Scale, Maslach Burnout Inventory, and the Intention to Quit Questionnaire. Data analysis was conducted using Spearman correlation and Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results revealed a significant relationship between work–life balance and burnout syndrome, as well as between work–life balance and turnover intention. Burnout syndrome was also significantly associated with turnover intention. Further analysis showed that work–life balance had both direct and indirect effects on turnover intention, with burnout syndrome partially mediating this relationship. In conclusion, work–life balance and burnout syndrome are important determinants of turnover intention among general practitioners. Therefore, hospital management should prioritize strategies such as workload regulation, enhanced organizational support, and burnout prevention to retain medical staff and maintain the quality of healthcare services in public hospitals.

This study aims to analyze the implementation of business networks in improving operational efficiency in small and medium-sized enterprises (SMEs) operating in the outdoor equipment sector. Increasing public interest in outdoor activities has intensified competition among SMEs, requiring them to develop effective collaboration strategies to maintain operational sustainability. This research employs a qualitative descriptive approach with a single case study design conducted at Misala Gear Outdoor, an SME engaged in outdoor equipment rental and sales in Ciwidey, Bandung Regency. Data were collected through in-depth interviews, direct observation, and documentation, and analyzed using descriptive qualitative techniques. The results indicate that the implementation of business networks involving supplier partnerships, outdoor communities, tourism agents, and digital platforms contributes significantly to improving operational efficiency, particularly in inventory management, service delivery, and market reach. Moreover, business networks enable cost control, resource optimization, and service differentiation, which strengthen the enterprise’s competitive position. This study highlights the strategic role of business networks as an operational efficiency driver for SMEs in the outdoor industry and provides practical implications for SME managers in developing collaborative business strategies.

This study examines the impact of financial performance indicators—activity, solvency, and liquidity ratios—on profit growth in pulp and paper manufacturing companies listed on the Indonesian Stock Exchange from 2019 to 2024. The research focuses on how variations in Total Assets Turnover, Inventory Turnover, Fixed Assets Turnover, Debt to Equity Ratio, and Quick Ratio affect profitability, especially during periods of economic instability like the COVID-19 pandemic. The aim is to identify which financial ratios have the most significant influence on profit performance. A quantitative research method was employed, utilizing secondary data from 42 observations of seven manufacturing firms, selected through purposive sampling. Multiple linear regression analysis, supported by SPSS software, was used to test the hypotheses. The findings show that all five ratios collectively have a significant impact on profit variations, with an F-statistic of 2.568 and a significance value of 0.044. However, when tested individually, only Total Assets Turnover and Inventory Turnover showed significant effects, while Fixed Assets Turnover, Debt to Equity Ratio, and Quick Ratio did not. The coefficient of determination (R²) was 0.263, indicating that 26.3% of the variation in profit can be explained by the analyzed variables.

Internet use in Indonesia is highest among adolescents aged 15 to 19 years. Internet use can have a negative impact if users do not use social media appropriately, such as cyberbullying behavior. One of the impacts of cyberbullying is self injury. This study aims to determine the relationship between cyberbullying and self injury in adolescents. Methods: This studyused a descriptive descriptive correlation design with a cross sectional approach. Respondents in the study amounted to 233students of SMAN 9 Pekanbaru with sampling techniques using stratified random sampling. Cyberbullying was measured using The Cyber Victim And Bullying Scale (CVBS) questionnaire, and self injury was measured using the Self Harm Inventory (SHI). Data were analyzed using chi-square. Results: The majority adolescents have experienced cyberbullying actions moderate 153 (65.7%) and majority adolescents have experienced mild self injury 161 respondents (69.1%). Chi square analysis showed a significant relationship between cyberbullying and self injury (p = 0.000). Conclusion: There is a significant relationship between cyberbullying and self injury in adolescents. Increasing positive activities for self-development can reduce the effects of cyberbullying such as self injury.

The management of borrowing and returning goods in government institutions is still largely carried out manually, which often gives rise to various problems, such as difficulties in tracking borrowing histories, the high risk of recording errors, and the lack of transparency regarding the availability of goods. This condition indicates the need for support from an information system that is capable of assisting the recording process and inventory management in a more structured, systematic, and easily monitored manner. This research aims to design a prototype of a goods borrowing and returning application as an initial solution to these problems as well as a preliminary representation of a system that can be further developed by the institution. The research method used is a Research and Development (R&D) approach with a prototype Software Development Life Cycle (SDLC) model, which allows system development to be carried out gradually and flexibly in accordance with user needs. Data collection was conducted through observation and interviews to obtain an overview of the ongoing work processes and to identify the required system needs. The collected data were then analyzed as the basis for designing the system workflow, data structure, and user interface design. The results of this research are in the form of an application prototype that represents the main system features, including goods borrowing, goods returning, availability checking, goods data management, and report generation.