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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 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.

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.

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.

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 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 evaluated the effects of compound and single-nutrient fertilizers on the growth and yield of cabbage (Brassica oleracea L.). The experiment was conducted using a randomized complete block design with seven fertilization treatments, including varying doses of compound fertilizer and a single-nutrient control. Results showed that the application of a 1.0× dose of compound fertilizer significantly improved plant height at 3 and 4 weeks after transplanting (WAT), and increased leaf number at 5 WAT. Yield components, including yield per plant, per plot, and hectare, were significantly higher in the 1.0× treatment, with an average yield of 1.92 kg per plant—an increase of 86.4% and 11.6% compared to the control and single-nutrient treatments, respectively. The relative agronomic effectiveness of the 1.0× dose reached 139%, indicating superior performance over the standard fertilizer. Economic analysis confirmed its viability, with the highest benefit-cost ratio (R/C) of 2.23 and a net profit of IDR 14,487,900. These findings suggest that compound fertilizer is both agronomically effective and economically profitable. The recommended application rate for cabbage is 211 kg/ha, applied one week after transplanting.

This study aims to determine the effect of the physical work environment and work motivation on the performance of employees of PT Pancaran Indonesia Kabupaten Tangerang, Depok City, both partially and simultaneously. The method used is a quantitative method with a causal associative approach and probability sampling technique with a sample of 82 and processed using SPSS 25. Data analysis using validity test, reliability test, classic assumption test, regression analysis, correlation coefficient analysis, coefficient of determination analysis, and hypothesis testing. The results of the study show that the physical work environment has a value of tcount > ttable or (3,714 > 1.994). Work motivation has a tcount > ttable or (11,852 > 1.994). The physical work environment and work motivation have Fcount > Ftable or (72, 865 > 2,737). This is also reinforced by the ρ value < Sig.0.05 or (0.000 <0.05). there is a significant effect simultaneously between the physical work environment (X1) and work motivation (X2) on employee performance (Y) with a contribution of 67,9% while the remaining 32,1% is influenced by other factors outside this study. The multiple linear regression equation Y = 5,949 + 0,067X1 + 0,985X2 + e.

This study aims to analyze the influence of emotional intelligence on job satisfaction and job performance, with employee adaptability as a mediator. The subjects were employees of Kospin Jasa Regional Office (Kospin Jasa) in Yogyakarta and Central Java. A sample of 178 respondents was selected using a census technique and a questionnaire was distributed using Google Forms. The analysis tool used was Structural Equation Modeling (SEM) based on Partial Least Square (PLS) software. The results of this study indicate that employee adaptability has a positive and significant effect on job satisfaction, employee adaptability has a positive and significant effect on job performance, emotional intelligence has a positive and significant effect on employee performance, emotional intelligence has a positive and significant effect on job satisfaction, and the influence of emotional intelligence on job performance has a positive and significant effect. Employee adaptability acts as a positive mediator in the influence of emotional intelligence on job satisfaction. Employee adaptability can be interpreted as a positive mediator in the influence of emotional intelligence on job performance.

This study aims to analyze the dynamics of academic and social life of students at Universitas Nasional PASIM and identify the factors affecting the balance between these two aspects. Using a qualitative method with interviews as the data collection technique, this study reveals the role of the social environment, particularly peer interactions, in supporting motivation, academic achievement, and student well-being. The findings show that a conducive campus social environment, through interaction with peers, serves as a source of emotional support and information that can enhance motivation and academic performance. Conversely, a less supportive social environment can hinder focus and decrease students' enthusiasm for learning. Students also face challenges in balancing academic demands and social life due to the heavy schedule of classes, academic tasks, organizational activities, and social engagements. The research findings indicate that time management skills and prioritization are key factors in maintaining the balance between academics and social life. The inability to manage time effectively may lead to stress and academic burnout. Overall, the study emphasizes the importance of a supportive social environment and good self-management skills in fostering academic success and student well-being.

This study aims to analyze the effect of work stress and work environment on employee performance with job satisfaction as a mediating variable at PT X. This study uses a quantitative approach with a census method of 198 employees at PT X. Data were collected through an online questionnaire (Google Form) and analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS) with the help of SmartPLS 4.0. Based on the results of the analysis that has been done, it was found that work stress has a negative and significant effect on employee performance. Meanwhile, the work environment has a positive and significant effect on employee performance. In addition, work stress has a negative and significant effect on job satisfaction. Then, the work environment has a positive and significant effect on job satisfaction, while job satisfaction has a significant effect on employee performance. In addition, job satisfaction is able to mediate the effect of work stress and work environment on employee performance. This study provides a theoretical contribution to strengthen the understanding of the role of job satisfaction as an important mechanism that connects work stress and work environment with employee performance. Management needs to manage work stress through a balanced workload and system arrangement and create a safe and comfortable work environment to improve employee satisfaction and performance. These findings underscore the importance of job satisfaction as a basis for formulating human resource policies. This study is limited by the number of respondents, which is not fully representative of the entire population due to difficulties in communicating with employees. Furthermore, limited access to the research location, which is located outside of Yogyakarta, resulted in the distribution and collection of questionnaires being conducted only through long-distance communication. Future researchers are advised to add other variables and use research subjects from different industrial sectors to obtain a more comprehensive and comparable understanding.

This study examines the influence of Organizational Support and Work Engagement on Lecturer Performance in higher education institutions. Using a quantitative descriptive approach and Structural Equation Modeling (SEM), the research analyzes data from 190 respondents, comprising lecturers from various universities in Medan. The results show that Organizational Support has a significant positive effect on Lecturer Performance with a path coefficient of 0.265, a T statistic of 5.87, and a P value of 0.000, indicating a strong and highly significant impact. On the other hand, Work Engagement also positively affects Lecturer Performance, with a path coefficient of 0.107, a T statistic of 2.977, and a P value of 0.001, which is significant but with a smaller effect compared to Organizational Support. The R-squared value for Organizational Support is 0.656, indicating that 65.6% of the variance in Organizational Support is explained by the model. The findings highlight the importance of organizational support in fostering a productive academic environment, leading to improved lecturer performance. This research provides practical insights for higher education institutions aiming to enhance teaching quality and academic outcomes.

The proliferation of online gambling promotional comments on Indonesian social media has become a serious issue requiring fast and accurate automated handling. This study aims to implement a Hybrid Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) method to classify online gambling comments and compare its performance with standalone RNN and LSTM models. The research utilized a dataset of 10,230 comments subjected to comprehensive preprocessing stages, including the normalization of non-standard language using a slang dictionary. Testing was conducted across three data-splitting scenarios: 90:10, 80:20, and 70:30. Experimental results demonstrate that the standalone LSTM model achieved the highest average accuracy of 97.45%. However, the Hybrid RNN–LSTM model showed significant superiority in terms of performance stability, yielding the lowest standard deviation (0.0027) and the smallest Coefficient of Variation (0.28%) across all scenarios. These findings indicate that while the LSTM architecture is highly effective at capturing short-text context, the Hybrid approach provides better robustness against fluctuations in data proportions, making it highly relevant for implementation as an automated detection system on social media.

The development of a student's personality, particularly during classroom interaction, is heavily influenced by their level of self-confidence. A lack of self-assurance often leads to public speaking anxiety, which subsequently restricts student engagement and diminishes academic performance. This phenomenon is frequently identified among tenth-grade Vocational High School (SMK) students who are navigating a period of environmental transition. This research focuses on enhancing the self-confidence of Grade X SMK students struggling with speech-related anxiety through the implementation of group guidance services utilizing role-playing methods. The study follows a Guidance and Counseling Action Research (GCAR) design conducted over two cycles, consisting of preparatory, executive, monitoring, and evaluative phases. The participants were tenth-grade students with low self-confidence profiles as determined by questionnaires and field observations. Data were analyzed using a descriptive quantitative approach to compare performance levels before and after the intervention. The results demonstrate that group guidance integrated with role-playing is an effective strategy for optimizing student self-confidence, as shown by the consistent upward trend in scores throughout the cycles. These findings suggest that this technique serves as a strategic instrument for school counselors to mitigate social anxiety among students. 

Global business environmental uncertainty, triggered by "Black Swan" phenomena, demands that organizations transform beyond passive resilience toward anti-fragility capabilities, where Human Resource (HR) systems actually grow stronger through market disruptions. This study aims to analyze the concept of anti-fragility within organizational leadership, explain the role of transformational leadership in shaping anti-fragile employees, and identify organizational strategies for navigating market uncertainty. The approach employed is a narrative literature review using content analysis techniques across various reputable scientific journals, anti-fragility theory, and organizational case studies such as Disney+, Zoom, and Tractor Supply. Research findings indicate that transformational leadership acts as a primary catalyst that builds anti-fragility through intellectual stimulation, decentralized autonomy, and the creation of a culture that learns from failure. Organizational strategies prioritizing resource flexibility, cross-skilling, and optionality have proven effective in converting crisis stressors into opportunities for innovation and performance growth. The contribution of this article lies in the development of an "Anti-Fragile Leadership" conceptual framework that integrates the philosophical principles of anti-fragility into strategic HRM practices. The practical implications provide a guide for organizational leaders to design work systems that are adaptive and proactive toward market volatility, ensuring that organizations not only survive but thrive from chaos.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in supporting local and national economic development, particularly through employment generation and income distribution. Seasonal religious events such as Ramadan significantly influence consumption patterns and market dynamics, creating both opportunities and challenges for MSMEs. This study aims to analyze the implementation of the “Seri Ramadhan” phenomenon within the strategic management practices of MSMEs in Martapura, focusing on the periods before and after Ramadan. The research employed a qualitative descriptive approach with field study methods. Data were collected through in-depth interviews, direct observation, and documentation involving selected MSME actors in the culinary, fashion, and retail sectors. The findings indicate that prior to Ramadan, MSMEs emphasize strategic planning through product innovation, stock preparation, promotional intensification, and operational adjustments. After Ramadan, they conduct performance evaluations, inventory control, and strategic realignment to maintain business sustainability. The study highlights that Ramadan is not merely a short-term sales opportunity but also a strategic momentum integrated into broader business planning cycles. The implications suggest that adaptive and cyclical strategic management enhances MSME resilience and competitive advantage in seasonal markets.

Software Defect Prediction (SDP) aims to identify defective modules early in the software development lifecycle to improve software quality and reduce maintenance costs. However, SDP datasets commonly suffer from high dimensionality, feature redundancy, and class imbalance, which can degrade model performance and stability. This study proposes a hybrid feature selection framework to address these challenges and enhance prediction performance. The proposed approach integrates Combined Correlation and Mutual Information (CONMI), which combines the Pearson Correlation Coefficient (PCC) and Mutual Information (MI) to capture both linear and nonlinear feature relevance. The selected features are further refined through Top-K selection, correlation-based filtering to reduce multicollinearity, and Backward Elimination (BE) to obtain an optimal feature subset. To address class imbalance, SMOTE-Tomek is applied by combining over-sampling and data cleaning techniques. Experiments are conducted on twelve NASA MDP datasets using Logistic Regression (LR) and Naïve Bayes (NB) classifiers. The results show that the proposed framework consistently achieves the best performance, with Logistic Regression combined with SMOTE-Tomek obtaining the highest average AUC of 0.7923 ± 0.0714, while NB achieves 0.7554 ± 0.0580. Statistical analysis using a paired t-test indicates that the proposed method significantly outperforms MI+SMOTE-Tomek and BE+SMOTE-Tomek for Logistic Regression, whereas no significant differences are observed for NB. In addition to improving overall classification performance (AUC), the proposed approach also enhances minority class detection, as reflected in improved Recall and F1-score. Overall, the proposed hybrid framework provides an effective and reliable solution for software defect prediction, particularly for high-dimensional and imbalanced datasets.

Indonesian fashion SMEs have significant export opportunities, but their export performance remains suboptimal as not all businesses are able to convert innovation, digitalisation, and market orientation into tangible international competitiveness. This study aims to analyse the determinants of Indonesian fashion SMEs’ export performance from the perspectives of the Resource-Based View and Internationalisation Theory. The study employs an explanatory quantitative approach using a cross-sectional survey design involving 200 owners or key managers of fashion SMEs in East Java, selected through purposive sampling. Data were analysed using SEM-PLS. Simulation results indicate that internal capabilities, international market orientation, and access to international networks have a positive influence on competitive advantage, whilst competitive advantage has a positive influence on export performance. Internal capabilities and access to international networks also demonstrate a significant direct influence on export performance, whilst international market orientation is not directly significant but operates through competitive advantage. The implication is that strategies to boost fashion SME exports should focus on strengthening innovation, quality, brand differentiation, and international market networks, rather than merely on symbolic digital adoption.