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Strawberries are horticultural commodities that are highly susceptible to postharvest deterioration due to their high respiration rate, microbial activity, and oxidative degradation, resulting in a relatively short shelf life. This study aimed to evaluate the effectiveness of edible coatings in extending strawberry shelf life through a systematic literature review (SLR) approach. Literature was collected from several scientific databases using keywords related to edible coating, shelf life, and strawberry, covering publications from 2019–2026. From an initial 109 articles, a selection process based on inclusion and exclusion criteria resulted in 35 articles specifically discussing the application of edible coatings on strawberries. The synthesis results showed that all studies reported an extension of shelf life after edible coating application, although the effectiveness was influenced by the type of material, formulation, and storage conditions. Chitosan was the most widely used coating material due to its natural antimicrobial activity and excellent film-forming ability. The incorporation of bioactive compounds such as essential oils, plant extracts, and phenolic compounds was proven to enhance antifungal and antioxidant activities. In addition, nanotechnology-based systems demonstrated better preservation performance compared to conventional systems. However, methodological standardization and industrial-scale validation are still required to support commercial implementation.

This study is motivated by the importance of improving the performance of police officers as the frontline of public service, which is influenced by transformational leadership, organizational communication, and work discipline. In practice, variations in officer performance are still observed at police precincts under the Solok Police Department, as evidenced by differences in case resolution rates, service responsiveness, and the effectiveness of task execution. These conditions are suspected to be related to the suboptimal implementation of transformational leadership, organizational communication, and work discipline among officers. This study aims to analyze the influence of transformational leadership and organizational communication on police officer performance, as well as to test the role of work discipline as a moderating variable. The research method used is a quantitative approach with a field research design. The study population consisted of all 126 members of the police stations under the Solok Police Department, with a sample size of 124 respondents. Data collection was conducted by distributing questionnaires to police officers, which were then analyzed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method. The results of the study indicate that transformational leadership has a positive and significant effect on member performance, with a coefficient of 0.754, a T-statistic of 3.550 (>1.96), and a P-value of 0.000 (<0.05); thus, the first hypothesis is accepted. Organizational communication has a negative and significant effect on performance with a coefficient of -0.615, a T-statistic of 2.509 (>1.96), and a P-value of 0.012 (<0.05). Work discipline does not moderate the effects of transformational leadership or organizational communication on performance, as both show insignificant results. In conclusion, improved police officer performance can be achieved through the implementation of effective transformational leadership and the strengthening of organizational communication.

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

The shaft is a crucial component in mechanical systems because it serves to transfer power and rotational motion throughout the machine. This research aims to assess the structural strength and operational performance of shafts used in a tire shredding machine through numerical simulation methods in order to achieve a safe and efficient design. The study involved several stages, including the development of shaft geometry models, the determination of boundary conditions, load application, mesh generation, and stress analysis using the finite element method. Two shaft configurations were examined: a 59 mm diameter shaft made from AISI 1045 steel and a 49 mm diameter shaft manufactured from ASTM A36 steel. The simulation results indicate that the 59 mm shaft experiences a Von Mises stress of 8.9 × 10⁻⁵ MPa, with a maximum displacement of 0 mm and a safety factor of 15. Similarly, the 49 mm shaft shows a Von Mises stress of 8.4 × 10⁻⁵ MPa, no measurable displacement, and a safety factor of 15. These findings confirm that both shaft designs are capable of safely withstanding the applied working loads. In addition, cutting system tests revealed that a 24-tooth blade achieved an efficiency of 26.9%, while a 40-tooth blade reached only 22.3%, indicating that the 24-tooth configuration provides better performance.

This study aims to evaluate the determinants of organizational sustainability within the Doctor Peduli Foundation (doctorSHARE), specifically regarding its Floating Hospital program. Specifically, it examines the influence of stakeholder support and operational efficiency on organizational sustainability, while analyzing the role of organizational innovation as a mediating variable in ensuring the continuity of medical services in remote areas. Employing a quantitative approach with a survey method, data were collected from 81 respondents comprising staff and volunteers directly involved in the Floating Hospital's operations. Structural Equation Modeling (SEM) was utilized to analyze the data and test the proposed hypotheses.The results reveal that stakeholder support does not have a significant direct impact on either organizational sustainability or innovation performance. Conversely, operational efficiency emerged as a dominant factor with a significant positive influence. Furthermore, organizational innovation was found to play a crucial role as a mediator, strengthening the impact of operational efficiency on organizational sustainability.This study concludes that the sustainability of non-profit organizations such as doctorSHARE is determined more by management's ability to optimize internal resources efficiently and innovatively than by reliance on external support. Consequently, strengthening internal operational systems should be a primary strategic priority to ensure long-term organizational existence.

The financial performance of MSMEs is the result of a business's success in sustaining itself thru financial management. This research aims to provide information on the impact of financial literacy, payment gateways, and financial inclusion on the financial performance of MSMEs. This investigative activity involves two types of variables: independent variables consisting of financial literacy, payment gateways, and financial inclusion, while the financial performance of MSMEs is the dependent variable. Food and beverage MSMEs under the auspices of Rumah BUMN are the study population, totaling 337. The method for determining the sample size was determined using Slovin's formula, and sampling was conducted using specific criteria, resulting in a sample size of 77 respondents. The data analysis technique involves multiple linear regression analysis. This research activity found that each of the variables used, namely financial literacy, payment gateway, and financial inclusion, has a significant positive impact on the financial performance of MSMEs. The coefficient of determination shows that 91.3% of the variables of financial literacy, payment gateway, and financial inclusion are able to explain the financial performance variable of MSMEs.

Introduction: Additive Manufacturing (AM) has revolutionized the production of complex geometries, offering flexibility, customization, and precision across various industries. However, optimizing multiple process parameters simultaneously to enhance AM performance remains a significant challenge. This study focuses on improving both mechanical properties and surface quality by utilizing multi-objective optimization techniques. Literature Review: The research reviews existing approaches in AM optimization, highlighting the limitations of single-objective optimization and the potential of multi-objective evolutionary algorithms (MOEAs). Previous studies demonstrate the difficulty of balancing competing objectives, such as tensile strength and surface roughness, within AM processes. Materials and Method: This study employs NSGA-II, MOEA/D, and SPEA2 algorithms to optimize AM parameters like layer thickness, build orientation, and infill density. The optimization aims to improve mechanical performance, including tensile strength and impact resistance, while reducing build time and surface roughness. The methodology integrates experimental validation with computational predictions to evaluate the effectiveness of these algorithms. Results and Discussion: The optimization process yielded Pareto-optimal solutions that balanced mechanical strength and surface quality. The results demonstrated improvements in tensile strength and surface finish without significantly increasing build time. Trade-off analysis highlighted the inherent conflicts between mechanical performance and surface quality, allowing for better decision-making in industrial applications. The study contributes to the AM industry by offering a comprehensive optimization framework for improving both efficiency and product quality.

One of the most common problems faced by students is academic procrastination. This issue often leads to increased stress, poor academic performance, and difficulties in self-control. This study aims to examine academic procrastination behavior and evaluate the Solution Focused Brief Counseling (SFBC) approach as an alternative intervention. The research was conducted using a qualitative approach in the form of a literature study. Data were obtained from various relevant scientific sources, including national and international journals, reference books, and previous research findings published within the last ten years. The data were analyzed using a content analysis technique by organizing the information into several main themes, including the factors causing academic procrastination, its impact on students, and the effectiveness of SFBC implementation. The findings indicate that academic procrastination is influenced by internal factors, such as low learning motivation, weak self-control, and poor time management skills. External factors also include an unconducive learning environment and a lack of social support. In addition, the results show that the SFBC technique helps students reduce task-delay behavior by setting clear goals, strengthening self-potential, and developing realistic solution plans. Therefore, SFBC can be considered a relevant and effective approach in guidance and counseling services to address academic procrastination.

Hydrogen-based hybrid microgrid systems have emerged as a promising solution to enhance renewable energy integration and improve energy supply reliability. By combining renewable sources such as solar and wind with hydrogen production and storage technologies, these systems address the intermittency of renewable power while ensuring continuous energy availability. This study evaluates the techno-economic feasibility, environmental impact, and scalability of hydrogen-based hybrid microgrids, with a focus on cost-effectiveness and system performance under varying operating conditions. Simulation tools, including HOMER Pro and MATLAB Simulink, are used to model the system and conduct sensitivity analyses on hydrogen production costs and demand fluctuations. Key performance indicators such as Levelized Cost of Energy (LCOE), Net Present Value (NPV), and CO₂ emissions reduction are assessed. The results show that although the system requires a high initial investment, it becomes economically viable over time due to reduced operational costs and improved efficiency. Additionally, the system demonstrates significant environmental benefits, outperforming conventional fossil fuel-based systems in terms of emissions reduction. Sensitivity analysis further indicates that advancements in hydrogen production technologies could substantially enhance economic feasibility. Overall, hydrogen-based hybrid microgrids offer a reliable and low-carbon energy solution, supporting sustainable energy transitions and reducing dependence on fossil fuels.

Predictive maintenance (PdM) plays a crucial role in modern industrial systems by minimizing downtime, reducing maintenance costs, and optimizing asset performance. However, many predictive models operate as “black box” systems, limiting transparency and making it difficult for operators to interpret their outputs. This study aims to integrate Explainable Artificial Intelligence (XAI) techniques with Remaining Useful Life (RUL) prediction models to improve both accuracy and interpretability. Various machine learning and deep learning approaches, including Support Vector Machines (SVM), Random Forest (RF), XGBoost, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN), are employed to predict RUL using real-time sensor data from rotating machinery. XAI methods such as SHAP, LIME, and attention mechanisms are applied to provide human-understandable explanations of model predictions. The models are evaluated based on accuracy, Root Mean Square Error (RMSE), and interpretability scores. The results show that XAI-enhanced models outperform traditional approaches in predictive performance while offering greater transparency. These explanations help maintenance engineers better understand the factors influencing predictions, thereby improving decision-making and trust in the system. Nevertheless, the integration of XAI introduces additional computational complexity, which may pose challenges for large-scale industrial implementation. Overall, this study highlights the potential of combining XAI with RUL prediction to develop more reliable, transparent, and effective predictive maintenance solutions.

Climate change has encouraged corporations to establish carbon emission reduction targets as part of their sustainability strategies. However, achieving these targets depends not only on technological innovation and operational policies but also on an organization's ability to integrate decarbonization agendas into human resource management systems. This study aims to analyze the strategic role of Human Resource Directors in integrating corporate carbon emission reduction targets into employee performance management systems and leadership Key Performance Indicators (KPIs). This research employs a qualitative approach using a systematic literature review by examining various relevant scientific publications related to Strategic Human Resource Management, Green Human Resource Management, and performance management within the context of organizational sustainability. The analysis process was conducted through systematic literature selection, mapping of previous research findings, and thematic synthesis of concepts and relationship patterns identified in the literature. The findings indicate that the integration of carbon emission targets into organizational performance management systems can be implemented through sustainability-based leadership KPIs, the application of Green HRM practices, and the alignment of employee evaluation and incentive systems with corporate decarbonization objectives. This study contributes to expanding the understanding of decarbonizing leadership by positioning HR Directors as strategic actors who connect corporate sustainability policies with organizational performance management practices, thereby encouraging organizational behavioral transformation toward more sustainable business practices.

This research aims to analyze the strategic role of management psychology in enhancing the performance and effectiveness of educational organizations through a systematic literature review. The development of modern educational organizations demands human resource management that is not only oriented toward administrative aspects but also considers the psychological dynamics of individuals, including behavior, motivation, and interpersonal relationships. The research method used is qualitative with a literature review approach, analyzing relevant scientific articles from the Google Scholar database. The results of the study indicate that management psychology contributes significantly to organizational productivity through three main aspects: effective organizational communication to build trust, psychology-based leadership that increases work motivation and satisfaction through recognition and fairness, and constructive conflict management that transforms tension into opportunities for innovation. The conclusion of this study emphasizes that the integration of various psychological dimensions, such as organizational citizenship behavior (OCB) and self-efficacy, is a key element in creating a conducive work environment. Therefore, leaders of educational institutions are advised to adopt a humanistic leadership style to optimize the potential of human resources and achieve superior educational quality in a sustainable and effective manner within the modern era.

Urban development has resulted in an increase in impermeable surfaces, increasing the risk of runoff inundating the road network. This situation occurs in the drainage system on Jl. Letjend S. Parman, Jl. Emo Kurniaatmaja, and Jl. Pulau Banda, Pasirkareumbi Village, Subang Regency. This study aims to evaluate the hydraulic performance of existing channels and develop redesign guidelines to reduce the risk of local flooding. The methods used include hydrological analysis of daily maximum rainfall data from the Subang rainfall station, rainfall frequency analysis using the Generalized Extreme Value (GEV) distribution, Intensity-Duration-Frequency (IDF) curves, and hydrological and hydraulic simulations using the Storm Water Management Model (SWMM). Model parameters include sub catchment area, rainfall intensity, time of concentration, infiltration using the Curve Number method, channel dimensions, cross-sectional shape, channel material, and the Manning coefficient. The results indicate that the GEV distribution provides a good fit for determining design rainfall. Based on the typology of a metropolitan city and a catchment area of ​​26.04 ha, the modeling period is 2 to 5 years. The SWMM simulation results indicate that some channel segments have very high flow velocities, potentially causing scour, while other segments have very low velocities, potentially causing sedimentation. This confirms the need for evaluation and restructuring of channel dimensions and slopes to improve the hydraulic performance of road drainage and reduce localized flooding.

This study aims to examine the role of management psychology in improving work motivation in organizations through a literature study approach. Data were obtained from various scientific sources relevant to the topics of management psychology, work motivation, and organizations. The results of the study indicate that management psychology plays a significant role in understanding individual and group behavior in the workplace through psychological aspects such as needs, attitudes, emotions, and personality. Work motivation is a key factor influencing employee performance, which is influenced by both internal and external factors, including rewards, work relationships, environmental conditions, and opportunities for self-development. Various motivational theories such as Maslow's Hierarchy of Needs, Alderfer's ERG, Mcclelland's Needs, And Vroom's expectancy theory provide a foundation for understanding the dynamics of work motivation. In addition, the implementation of the performance management cycle, which includes planning, monitoring, evaluation, and rewarding, has proven effective in improving employee morale.

This study aims to determine and analyze the effect of the Current Ratio (CR) on Return on Equity (ROE) at PT Kino Indonesia Tbk for the period 2015–2025. This research employs a quantitative approach with an associative research design. The data used are secondary data obtained from the company's annual financial statements. The data analysis techniques include classical assumption tests, simple linear regression analysis, partial t-test, and coefficient of determination (R²). The results show that the Current Ratio has a negative and significant effect on Return on Equity. This is indicated by a regression coefficient value of -0.489 and a significance value of 0.001 (< 0.05). In addition, the coefficient of determination (R Square) is 0.734, which means that 73.4% of the variation in Return on Equity can be explained by the Current Ratio, while the remaining 26.6% is influenced by other factors outside this study. These findings indicate that excessively high liquidity tends to reduce the company’s profitability, suggesting inefficient management of current assets. Therefore, companies need to maintain a balance between liquidity and profitability to improve overall financial performance

This study aims to analyze the effect of inflation and interest rates on the stock prices of banking companies listed in the IDX80 index on the Indonesia Stock Exchange for the 2019–2024 period. Research data were obtained from official reports of banking company stock prices as well as inflation and interest rate data from Bank Indonesia. The study used a quantitative approach with multiple linear regression methods through the SPSS application, and classical assumption tests were conducted as a requirement for analysis. The study population included all IDX80 banking companies, with a saturated sampling technique resulting in five banks that met the criteria during the study period. The results of the partial test indicate that inflation has a positive and significant effect on stock prices, while interest rates have a negative and significant effect on stock prices. This indicates that stable inflation can still improve the performance of the banking sector, while rising interest rates tend to depress stock prices due to increased borrowing costs and a shift in investment to other instruments. The results of the simultaneous test also show that inflation and interest rates together have a significant effect on the stock prices of IDX80 banking companies. The results show that inflation has a significant positive effect on stock prices with a significance value of 0.034, while interest rates have a significant negative effect with a significance value of 0.018. Simultaneously, inflation and interest rates have a significant effect on stock prices with a calculated F value of 14.549 > Ftable 2.70 and a significance of 0.000 < 0.05.

This study aims to analyze the victimological aspects of adolescents who are victims of bullying in the school environment. Bullying remains a significant social issue that negatively affects the psychological, social, and academic development of adolescents. This research employs a qualitative approach with a descriptive research design. Data were collected through interviews, observations, and documentation involving adolescents who have experienced bullying. The data were analyzed through data reduction, data display, and conclusion drawing.The results indicate that victims of bullying tend to have certain characteristics such as low self-confidence, introverted behavior, and limited social interaction skills. The forms of bullying identified include verbal bullying, social bullying, and cyberbullying. The impacts experienced by victims include psychological distress such as anxiety and low self-esteem, difficulties in social interaction, and decreased academic performance. From a victimological perspective, both individual and environmental factors play a significant role in the occurrence of victimization. Therefore, active involvement from schools, families, and communities is necessary to prevent and address bullying in order to create a safe environment for adolescents.

separating and shredding organic and inorganic waste. This study aims to analyze the process of shredding household waste using the Computational Fluid Dynamics–Discrete Element Method (CFD-DEM) and determine the optimal operational parameters based on variations in rotor speed. The research method uses numerical simulation with SolidWorks 2024 software for geometric modeling and Ansys Rocky 2023 R1 for CFD-DEM simulation. The rotor speed variations used are 1000 RPM, 2500 RPM, and 4000 RPM with a mass flow rate of 4 tons/hour and a simulation duration of 2 seconds. The parameters analyzed included particle mass flow rate, shredding characteristics, and power consumption. The simulation results showed that a speed of 1000 RPM produced the most optimal performance with a maximum capacity of ±4 tons/hour and a stable shredding response compared to other variations. At 2500 RPM, there were high fluctuations with low capacity (±0.6 tons/hour), while at 4000 RPM, the capacity was moderate (±1.1 tons/hour) but still did not exceed the performance of 1000 RPM. Based on these results, it can be concluded that a rotor speed parameter of 1000 RPM is the most effective condition for improving the grinding efficiency and production capacity of a hammer mill-type Depackaging machine based on CFD-DEM simulation.

This study aims to analyzei thei peirformancei and contributing factors to thei failurei of thei digital-baseid Civil Seirvant Manageimeint Information Sisteim (SIKILAT) adoption at thei Jambi Provincei Human Reisourceis Deiveilopmeimnt Ageincy (BPSDM) using a Teichnology, Organization, and EInvironmeint (TOEI) peirspeictivei. Thei study eimployeid a qualitativei, deiscriptivei approach. Thei reisults indicatei that SIKILAT impleimeintation is suboptimal and unsustainablei. From a teichnological peirspeictivei, obstacleis includei lack of minteinancei, limiteid systeim quality, and complicateid usability. From an organizational peirspeiktivei, thei lack of mandatory policieis and low useir compeiteincy and participation arei keiy obstacleis. Meianwhilei, from an einvironmeintal peirspeictivei thei lack of reigulations and eixteirnal preissureis havei leid to thei systeim’s deiclinei as a priority.

Technological advancements and the rapid growth of globalization have fundamentally changed the way organizations conduct business activities, creating increasingly complex challenges and opportunities in both local and international markets. Organizations are now required to adapt quickly to changing consumer preferences, technological innovation, market competition, and economic uncertainty. In this environment, economics, management, and accounting have become three essential disciplines that play a crucial role in determining organizational effectiveness and long-term sustainability. Economics helps organizations understand market behavior, pricing strategies, supply and demand conditions, and macroeconomic factors that influence business performance. Management focuses on planning, organizing, leading, and controlling resources to ensure operational efficiency and goal achievement. Accounting provides reliable financial information through systematic recording, reporting, and analysis of transactions, enabling organizations to evaluate performance and maintain accountability. This study aims to analyze the relationship between these three disciplines in supporting organizational decision-making processes and improving overall performance. The research employs a literature review method by examining various recent academic books and journal articles. The findings reveal that the integration of economics, management, and accounting strengthens strategic planning, improves resource allocation, enhances financial transparency, and supports sustainable organizational growth in a highly competitive global environment.