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This study aims to analyze the influence of organizational culture on employee performance through job satisfaction at the Banda Aceh City Environmental, Sanitation, and Beautification Office. This study employs a quantitative approach using an associative method. The study population consisted of 44 civil servants, all of whom were included in the sample using a census method. Data collection was conducted via a questionnaire using a Likert scale, supplemented by observations and interviews. The data analysis techniques employed included path analysis, t-tests, the coefficient of determination (R²), and the Sobel test to examine the mediating role. The results of the study indicate that organizational culture has a positive and significant effect on employee performance, with a significance value of 0.004 and a calculated t-value of 3.014. Organizational culture also has a positive and significant effect on job satisfaction, with a p-value of 0.003 and a t-statistic of 3.940. Furthermore, job satisfaction has a positive and significant effect on employee performance with a significance value of 0.000 and a t-value of 5.174. A mediation test using the Sobel test indicates that job satisfaction significantly mediates the effect of organizational culture on employee performance with a t-value of 3.818 (>1.96). The coefficient of determination of 0.832 indicates that 83.2% of the variation in employee performance can be explained by organizational culture, job satisfaction, and their interaction, while the remainder is influenced by other variables outside the scope of this study. Thus, it can be concluded that organizational culture has a strong influence on improving employee performance, both directly and through job satisfaction as a mediating variable.

The objective of this study is to analyze the impact of work-related stress and the physical work environent on employeee perfornance at the Abdul Karim Medika Center Clinic. The reseearch method employed a quantittative aproach using a causal-associiative study design. The population consisted of 52 employees, while the selected sample conprised 46 employees chosen through simple random sampling. Data were collected through questionnaires, observations, and docunentation. It was found that work-related stress had a negative and significant impact on employee performance (R² = -0.340 and Sig. = 0.002 < 0.05). Meanwhile, the physical work environnent had a positive and significant impact on employee performance (R² = 0.528 and Sig. = 0.000 < 0.05). Concurrently, work stress and the physical work environment had a significant impact on employee perfornance (F calculated 30.621 and Sig. 0.000 < 0.05). The results of the coefficient of determination revealed that 68% of the variation in employee performance was explained by work stress and the physical work environment, while the remaining 32% was attributed to other factors.

This study aims to analyze the effect of capital structure and financial performance on firm value at PT Elang Mahkota Teknologi Tbk during the period 2015–2024. Capital structure is proxied by the Debt to Equity Ratio (DER), financial performance is measured by Return on Equity (ROE), and firm value is proxied by Price to Book Value (PBV). This research employs a quantitative approach with a descriptive method. The data analysis techniques used include multiple linear regression analysis, t-test, F-test, and coefficient of determination. The results show that capital structure (DER) has a positive and significant effect on firm value, as indicated by a t-statistic of 3.302, which is greater than the t-table value of 2.365, with a significance level of 0.013 (< 0.05). Financial performance (ROE) also has a positive and significant effect on firm value, with a t-statistic of 2.638, exceeding the t-table value of 2.365, and a significance level of 0.034 (< 0.05). Simultaneously, DER and ROE have a significant effect on firm value, as evidenced by an F-statistic of 6.384, which is greater than the F-table value of 4.737, with a significance level of 0.026 (< 0.05). The coefficient of determination indicates that 64.6% of the variation in firm value can be explained by capital structure and financial performance, while the remaining percentage is influenced by other variables outside the research model.

This study aims to analyze the impact of the USD/CNY exchange rate and the Federal Reserve interest rate on the stock returns of Volkswagen AG. Volkswagen AG is chosen as the object of analysis because it is a multinational corporation with significant exposure to the Chinese market, making it highly sensitive to fluctuations in global economic conditions, particularly exchange rate movements and monetary policy changes. The study adopts a quantitative research approach using multiple linear regression analysis to examine the relationships between variables. The data used are monthly secondary data covering the period from 2017 to 2023, resulting in 84 observations. The dependent variable in this study is Volkswagen AG stock returns, while the independent variables consist of the USD/CNY exchange rate and the Federal Funds Rate. The empirical results show that the USD/CNY exchange rate has a negative and statistically significant effect on Volkswagen AG stock returns, indicating that currency depreciation or appreciation plays a crucial role in influencing investor sentiment and firm valuation. In contrast, the Federal Funds Rate does not show a statistically significant effect on stock returns during the observed period. However, the simultaneous test indicates that both variables jointly have a significant influence on Volkswagen AG stock returns. Overall, the findings suggest that exchange rate risk is more dominant than U.S. monetary policy in affecting the stock performance of Volkswagen AG over the study period.

This study was conducted to analyze and examine the influence of individual characteristics, career development, and the quality of human resources on employee performance at PT. Prima Vista Solusi using a quantitative approach through a survey method. Data were collected by distributing questionnaires to 70 respondents who are employees and were analyzed using multiple linear regression with the assistance of SPSS software. The results show that individual characteristics and the quality of human resources have a significant effect on improving employee performance, while the career development variable does not have a significant effect on performance. This indicates that although the career development system has been well implemented, it has not yet become a primary factor in improving performance. Therefore, the company is advised to place greater focus on human resource management policies aimed at enhancing employees’ competencies, skills, and professionalism so that performance can be continuously improved in a sustainable manner.  

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.

Work discipline is a crucial element in improving employee performance, particularly in the Micro, Small, and Medium Enterprises (MSME) sector such as automotive workshops, which often face managerial and structural challenges. This study aims to explore the understanding, implementation, and influence of work discipline on employee performance at Gandi Jaya Motor Workshop, Jombang, within a local context characterized by religious values and informal work culture. The research employs a descriptive qualitative method with a case study approach. Data were collected through in-depth interviews, observation, and documentation, and were analyzed thematically. The findings reveal that work discipline is perceived as a form of personal responsibility driven by leadership example and religious values, rather than by formal systems alone. External factors such as limited infrastructure and the absence of a structured HR evaluation system also affect performance effectiveness. These findings expand the scope of Work Discipline and Employee Performance theories by incorporating social and cultural dimensions as determinants of work behavior. The study concludes by emphasizing the need for a humanistic approach to HR management in MSMEs and recommends further exploration with broader participant coverage and more diverse methodological approaches.

Work motivation, job satisfaction, and employee performance are key aspects of management psychology that continue to evolve as organizational productivity demands increase. In an era of global competition, organizations are required to manage human resources effectively by enhancing work motivation and job satisfaction to achieve optimal performance. This study aims to examine the relationship between work motivation and employee performance, as well as to analyze the role of job satisfaction as a mediating variable in that relationship. The method used is a literature review with a qualitative approach. Data were collected through the Google Scholar and Publish or Perish databases using keywords related to work motivation, job satisfaction, and employee performance from a management psychology perspective. From 25 articles found between 2022 and 2026, 5 of the most relevant articles were selected for further analysis.The results of the study indicate that work motivation has a significant influence on employee performance, both directly and indirectly through job satisfaction as a mediating variable. Additionally, there is a growing trend toward the integration of management psychology approaches in efforts to enhance employee performance. Thus, it can be concluded that the simultaneous management of motivation and job satisfaction is a key factor in achieving optimal performance. Further research is recommended to develop a more comprehensive and integrative model.

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 was motivated by the gap between employee performance evaluations and the quality of health services at Dr. Adnaan WD Payakumbuh Regional General Hospital. Although the majority of employees received a “Good” performance rating through the e-Kinerja system and SKP, the public still complained about slow service, long lines, a lack of empathy among staff, and poor coordination between units. This study aims to analyze the implementation of performance management in relation to improvements in employee performance and the quality of healthcare services. The research method employs a descriptive qualitative approach, utilizing data collection techniques such as in-depth interviews, observations, and documentation involving hospital management, medical and non-medical staff, as well as patients. Data analysis utilizes the Miles and Huberman model through data reduction, data presentation, and drawing conclusions. The results indicate that the implementation of performance management is not yet optimal because it remains administratively oriented and has not been integrated with service quality. Issues were identified in the areas of human resources, facilities, coordination, supervision, as well as low levels of empathy and service responsiveness. The study concludes that the performance management system does not yet fully support improvements in the quality of healthcare services; therefore, an evaluation based on service outcomes and patient satisfaction is required.

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.

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.

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.

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.

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.

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.

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 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.

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.