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This study aims to describe the aesthetics of the performance form of the Lenggok Dance created by Ida Sulistyarini and Susiati, which has developed in Banyumas Regency. The Lenggok Dance is a creative dance work rooted in the local Banyumasan tradition and presents distinctive movement characteristics along with regional cultural values. This research uses Djelantik’s aesthetic theory with a qualitative method and a phenomenological approach. Data collection techniques include observation, interviews, and documentation. Data validity techniques employ triangulation of sources, techniques, and time. Data analysis is carried out by examining the aesthetic elements of the dance, which include form, content or substance, and presentation or performance contained in the show. The results of the study indicate that the aesthetics of the Lenggok Dance are reflected through the harmony between dynamic and flexible lenggeran movements and the rhythmic Banyumasan musical accompaniment, as well as visual support from makeup and costumes that strengthen the character of the dance. In addition, the Lenggok Dance contains aesthetic values that represent the cultural identity of Banyumas, particularly in the processing of movements and expressions that reflect flexibility, joy, and local wisdom. This study is expected to contribute to the development of dance studies, especially related to the aesthetics of regional creative dance, and to serve as a reference for the preservation and development of Banyumasan performing arts.

Sweet corn (Zea mays saccharata Sturt.) is an increasingly popular horticultural commodity in Indonesia, attracting both farmers and consumer. This study aims to evaluate the effectiveness of single‑micronutrient fertilizer Mn‑EDTA (12%) in enhancing the growth and yield of sweet corn (Zea mays saccharata Sturt.). The treatments consisted of control, standard NPK, 0.25 NPK, 0.50 NPK, 0.75 NPK, and 1.00 NPK. The experimental findings demonstrated that the application of single‑micronutrient Mn‑EDTA (12%) fertilizer had a highly significant effect on vegetative growth and yield components of sweet corn, with statistically higher values compared with the control treatment. In general, fertilizer dosages equivalent to 0.25–1.00 NPK produced greater plant height, stem diameter, leaf number, ear length, ear diameter, biomass weight, ear weight with husk, ear weight without husk, plot yield, and productivity than the control. The RAE calculation indicated that the fertilizer was effective when applied at dosages equivalent to 0.75 and 1.00 NPK. The highest effectiveness was observed at the 1.00 NPK dosage, with an RAE value of 101%. Notably, the application of Mn‑EDTA (12%) fertilizer at the 1.00 NPK dosage provided significant field effectiveness, as reflected by the RAE value of 101%. This result implies that the use of single‑micronutrient Mn‑EDTA (12%) fertilizer at the 1.00 NPK dosage increased yield by 1.01 times compared with the yield improvement obtained from the reference fertilizer relative to the control treatment.

This study aims to analyze the effect of Good Corporate Governance (GCG), Firm Size, and Sales Growth on Financial Performance at PT Ace Hardware Indonesia Tbk listed on the Indonesia Stock Exchange (IDX) during the 2015–2024 period. Good Corporate Governance (GCG) in this study is proxied by institutional ownership, financial performance is measured using Return on Assets (ROA), firm size is measured by the natural logarithm of total assets, and sales growth is measured using the sales growth ratio. This study employed a quantitative method with a descriptive approach. The data used were secondary data in the form of annual financial statements obtained from the official websites of the IDX and the company. Data analysis techniques included descriptive statistics, classical assumption tests, multiple and simple linear regression analysis, and hypothesis testing consisting of t-test, F-test, and coefficient of determination with the assistance of SPSS version 27 software. The results of the study indicate that partially, the Good Corporate Governance (GCG) variable has a t-value of -1.526 < t-table 2.447, meaning that it has no significant effect on financial performance. The firm size variable has a t-value of -2.857 > t-table 2.447, indicating a significant negative effect on the company’s financial performance. The sales growth variable has a t-value of 1.593 < t-table 2.447, meaning that it has no significant effect on financial performance. Simultaneously, Good Corporate Governance (GCG), firm size, and sales growth have a significant effect on financial performance, with an F-value of 13.023 > F-table 4.76 and a significance value of 0.005 < 0.05. This study is expected to provide consideration for management and investors in decision-making and serve as a reference for future research in related fields.

This study is motivated by the importance of work effectiveness as a key indicator of organizational success in facing an increasingly complex and competitive work environment. Work discipline is viewed as one of the critical factors that can support the achievement of optimal work effectiveness. This study aims to analyze the relationship between work discipline and work effectiveness and to identify the factors influencing them within an organizational context. The method used is a Systematic Literature Review, which involves examining various relevant scientific articles through the stages of identification, selection, evaluation, and data synthesis. The results of the study indicate that work discipline plays a significant role in enhancing work effectiveness through adherence to rules, punctuality, responsibility, and consistency in task execution. Furthermore, work effectiveness can also foster the development of discipline through structured work systems and clear operational standards. The relationship between these two variables is reciprocal and influenced by factors such as leadership, organizational culture, motivation, human resource competencies, and the utilization of technology. The implications of this research underscore the importance of integrating work discipline and organizational systems to sustainably enhance work effectiveness.

Using Non Performing Financing (NPF) as a moderating variable, this study looks at how profit sharing and profit margin financing affect the effectiveness and stability of Islamic banks in Indonesia. The primary topic discussed is how various Islamic financing arrangements affect the operational effectiveness and financial stability of banks, as well as whether credit risk enhances or diminishes these connections. This study aims to examine the direct impacts of financing modalities as well as the moderating influence of NPF on the performance of Islamic banks. Based on secondary data from eight Islamic banks in Indonesia between 2018-2024, this study employs a quantitative methodology using panel data regression and Moderated Regression Analysis (MRA). The findings indicate that while profit margin financing has no discernible impact on efficiency, profit sharing financing has a favorable and considerable impact. Profit margin financing has a negative and negligible impact on stability, whereas profit sharing financing has a positive but negligible impact. Additionally, by changing the direction of influence, NPF significantly moderates the association between profit sharing financing and both efficiency and stability. However, it does not significantly moderate the effect of profit margin financing on efficiency, but it does on stability. In summary, the effectiveness of Islamic financing is heavily reliant on risk management, especially credit risk control, where NPF is a key factor in evaluating whether financing can improve stability and efficiency in Islamic banks.

The plantation sector is one of the main pillars in Indonesia’s international trade. Commodities such as palm oil, rubber, coffee, and cocoa serve as leading export products that contribute significantly to the country’s foreign exchange earnings. This study aims to analyze the role of plantation commodity exports in Indonesia’s international economic performance and to identify the challenges faced. The method used is a descriptive qualitative approach through literature review from various scientific sources. The results indicate that plantation exports contribute substantially to economic growth, employment generation, and the stability of the trade balance. However, several challenges persist, including global price fluctuations, sustainability issues, and international trade barriers. Therefore, strategic policies are required to enhance the competitiveness of Indonesia’s plantation commodities in the global market.

Leadership in educational management has a strategic role in determining the success of educational implementation. This study aims to examine the integrative paradigm between psychology and leadership in educational management, focusing on the psychological dimensions of educational leadership. This research employs a qualitative approach using a systematic literature review method. Data were collected from scientific articles published between 2020 and 2026 through Google Scholar using Publish or Perish. The findings indicate that the integration of psychological perspectives into leadership significantly enhances organizational effectiveness, particularly in fostering work motivation, strengthening interpersonal communication, and improving adaptive decision-making. Furthermore, psychological approaches contribute to conflict management and the development of a positive organizational climate. The study also highlights that leadership effectiveness is strongly influenced by psychological characteristics such as personality, emotional intelligence, and empathy. Therefore, integrating psychology into leadership serves as a strategic foundation for advancing educational management and improving human resource performance sustainably.

This study examines the determinants of the Jakarta Composite Index (JCI) based on three main macroeconomic factors namely inflation, the USD/IDR exchange rate, and the SBI interest rate (BI Rate) covering the period January 2020 to December 2025, in the context of post-COVID-19 pandemic recovery and global economic turmoil. A quantitative approach was employed using the Ordinary Least Squares (OLS) method, with 72 monthly observations derived from secondary data sourced from official institutions including Bank Indonesia (BI), the Central Statistics Agency (BPS), the Indonesia Stock Exchange (IDX), and the Financial Services Authority (OJK). Classical assumption tests were applied comprising the Jarque-Bera normality test, Variance Inflation Factor (VIF) for multicollinearity, Breusch-Godfrey for autocorrelation, White Test for heteroscedasticity, and Ramsey RESET for model specification. Partially, inflation, exchange rate, and BI Rate each demonstrate a positive and significant effect on the JCI (p < 0.05). Simultaneously, all three variables exert a significant combined influence on the JCI, with a coefficient of determination R² = 0.4414, indicating that the model explains 44.14% of the variation in the JCI. The remaining 55.86% is attributed to other variables outside the model. Classical assumption test results reveal violations of normality, autocorrelation, and heteroscedasticity assumptions, although the model is free from multicollinearity. These findings confirm that Bank Indonesia's monetary policy has a significant and measurable impact on capital market performance. Further research is recommended using more advanced time series models such as GARCH or VECM to address violations of classical assumptions and improve estimation efficiency.

This study examines the integration of Sound Governance principles within the sustainable tourism policy cycle to address institutional fragmentation and evaluation inefficiencies in developing economies. Using a sequential explanatory mixed-methods design, the research develops a multidimensional evaluation framework aligned with the Sustainable Development Goals (SDGs), analyzing policy performance across five strategic domains: Economy, Social-Welfare, Culture-Education, Environment, and Governance. The quantitative phase utilizes 17 adapted SDG indicators to measure policy efficacy, while the qualitative phase employs semi-structured interviews and stakeholder mapping to deconstruct power dynamics in multi-actor co-management structures. The findings reveal that Sound Governance—specifically transparency and accountability—serves as a critical catalyst for policy effectiveness, significantly influencing destination sustainability through an input-process-output-outcome-impact pathway. Empirical evidence from the case of Penglipuran Village, Bali, corroborates these results, demonstrating that indigenous institutional legitimacy enhances social responsiveness but remains vulnerable to overtourism-driven economic dependency. Notably, the study demonstrates that integrating SDGs into the policy evaluation cycle transforms assessments from mere administrative formalities into strategic instruments for long-term demand stability and ecosystem preservation. These findings position Sound Governance as a strategic intangible asset, offering theoretical contributions to development administration and practical guidance for policy-makers navigating the complexities of sustainable destination management in competitive global markets

 Cryptocurrency price prediction, particularly for highly volatile assets like Solana (SOL), is a crucial challenge in time series data analysis in digital finance. This study aims to compare the performance of the XGBoost machine learning algorithm with the Temporal Fusion Transformer (TFT) deep learning model in predicting Solana's daily closing price. The dataset used consists of historical Solana price data and network fundamentals data in the form of Total Value Locked (TVL). The research process includes data preprocessing, dividing training and test data, model training, and evaluation using the Root Mean Squared Error (RMSE) metric. The results show that using the same-day price feature has the potential to cause target leakage, resulting in invalid prediction accuracy. In testing using pure historical data without data leakage, the XGBoost model performed better than TFT with an RMSE of 4.27, while TFT produced an RMSE of 18.59. Furthermore, the integration of network fundamentals data in the form of TVL did not improve prediction accuracy and even caused a decrease in performance for the XGBoost model with an RMSE of 7.10. The results of this study show that the use of historical price action features is more effective than fundamental network indicators for short-term daily Solana price predictions.

This study aims to determine the effect of Motivation (X1) on Employee Performance (Y), Work Environment (X2) on Employee Performance (Y), and Work Discipline (X3) on Employee Performance (Y) among employees of CV. Rens Jaya in Tangerang Regency. The research uses a non-probability sampling technique with a saturated sampling method. The population in this study consists of 45 employees working at CV. Rens Jaya in Tangerang Regency. The research was conducted using multiple linear regression analysis, assisted by SPSS version 25 and Microsoft Excel 2016. The results show that Work Motivation (X1) has a positive and significant effect on Employee Performance (Y), the Work Environment (X2) has a positive and significant effect on Employee Performance (Y), and Work Discipline (X3) has a positive effect on Employee Performance (Y).

This study examines the strategic role of management psychology in enhancing educational institution quality through optimizing teacher performance. Employing a qualitative descriptive approach via library research—analyzing recent journals, books, and sources from 2021–2026—data were processed using content analysis techniques, encompassing systematic identification, categorization, and interpretation of prior findings to reveal patterns, relationships, and research gaps. Results indicate that psychological factors such as work motivation, mental well-being, supportive leadership, and conducive work climate significantly shape teachers' behaviors and performance, fostering effective and sustainable learning environments. Integrating management psychology principles proves essential for holistic human resource management in education, offering practical implications for school leaders' policies to build high-quality educational systems. In addition, the study emphasizes that consistent professional development and emotional support systems for teachers further strengthen institutional effectiveness and improve instructional outcomes. Therefore, management psychology serves as a fundamental framework in aligning organizational goals with teacher well-being and performance enhancement in educational settings.

This study aims to examine the impact of academic burnout on students’ mental health in the context of hybrid learning through a literature review approach. The rapid transformation of learning systems in higher education, particularly the integration of online and offline methods, has increased academic demands and adaptation challenges for students. This condition potentially triggers academic burnout, which is characterized by emotional exhaustion, depersonalization, and decreased academic achievement. This research employs a literature review method by analyzing relevant scientific articles published between 2019-2025 obtained from indexed national journals and open-access sources. The findings indicate that academic burnout is still commonly experienced by students, generally at a moderate level, and has a significant impact on mental health, including increased stress, emotional fatigue, and decreased academic performance. The study also identifies several influencing factors, including internal factors such as self-efficacy and hardiness, as well as external factors such as social support, learning environment, and academic workload. Furthermore, technological developments, particularly Artificial Intelligence, have the potential to be utilized as an early detection and prevention tool for academic burnout. This study implies the importance of developing adaptive learning strategies and psychological interventions to support students’ well-being in hybrid learning environments.

This study aims to identify and analyze the effects of job competence, work discipline, and incentives on employee performance. This study employs a quantitative method with a descriptive and associative approach. The population of this study consists of all 40 employees in the marketing division at PT Pratama Mitra Aksara. Data collection was conducted through the distribution of an online questionnaire, followed by data analysis using multiple linear regression to test the effect of each independent variable on the dependent variable. The results of the study indicate that job competence, work discipline, and incentives simultaneously have a positive and significant effect on employee performance. The t-scores for the Job Competence variable were 2.569, for the Work Discipline variable 2.894, and for the Incentives variable 2.998. Thus, it is concluded that improving job competence and work discipline, along with providing appropriate incentives, can enhance employee performance. It is hoped that this study will serve as a basis for companies to improve employee performance through more effective human resource management.

The rapid proliferation of learning analytics, business intelligence (BI), artificial intelligence (AI), and generative AI (GenAI) has significantly expanded universities’ ability to collect, integrate, analyze, and operationalize institutional data. However, despite advances in predictive analytics, dashboards, and AI-driven systems, the translation of analytical outputs into consistent and accountable institutional decision-making remains uneven. This systematic literature review synthesizes contemporary research on analytics-enabled decision-making in higher education with the aim of moving beyond dashboard-centric perspectives toward a socio-technical and computing-oriented understanding of how data are transformed into institutional actions and outcomes. Guided by the PRISMA framework, the review synthesizes evidence across four interconnected dimensions: data ecosystems and learning analytics foundations; analytics capability, BI adoption, and digital readiness; AI and advanced analytics for decision support; and human-in-the-loop (HITL) decision routines and institutional outcomes. The findings show that predictive performance and analytical sophistication alone do not guarantee decision value. Instead, effective analytics-enabled decision-making depends on interoperable data ecosystems, organizational analytics capability, governance mechanisms, explainability, and sustained human oversight. Based on these findings, this review contributes a computing-oriented decision-intelligence framework that conceptualizes analytics-enabled decision-making as an end-to-end socio-technical pipeline linking heterogeneous data acquisition, integration, feature construction, analytical modeling, explainability, human validation, governance, and feedback-based refinement. By integrating learning analytics, BI, AI, GenAI, and HITL mechanisms within a unified framework, the review clarifies how universities can move beyond dashboard-based reporting toward accountable, adaptive, and institutionally actionable decision-support infrastructures.

Mergers and acquisitions have served as a primary strategy for global banking consolidation over the past three decades, including in Indonesia, which is currently undergoing one of its most massive consolidation waves—one notable example being the emergence of Bank Syariah Indonesia. This article aims to provide a narrative review of the literature on the operational impacts of mergers on bank performance, with a particular focus on implications for the Indonesian context. Based on a systematic search of the Scopus database, 52 peer-reviewed articles published between 2000 and 2025 were analyzed using a narrative thematic synthesis approach. Five main themes were identified: cost efficiency, service quality, risk management, human resource and cultural integration, and information systems and technology integration. The key findings indicate that although 73.1% of studies report post-merger improvements in cost efficiency, these benefits are highly contingent upon the quality of post-merger integration especially in the areas of human resources, organizational culture, and information technology with IT integration failure rates reaching as high as 75%. Domestic mergers consistently achieve efficiency gains more rapidly than cross-border mergers, whereas risk implications depend heavily on the type of merger and the quality of integration. Policy implications include the need for the Financial Services Authority (Otoritas Jasa Keuangan) to monitor post-merger integration quality, provide integration guidelines for smaller banks, take into account the specific characteristics of Islamic banks, and ensure a streamlined, non-burdensome licensing process. Further research particularly empirical studies on banking mergers in Indonesia—is urgently needed to test the generalizability of global findings to the local context.

Organizations in the digital era face rapid and unpredictable changes characterized by volatility, uncertainty, complexity, and ambiguity, requiring strategic adaptation and effective change management. This study aims to synthesize empirical findings on the role of change management strategies, adaptive leadership, innovative organizational culture, and employees’ psychological readiness in supporting digital transformation and improving employee performance. The research employs a Systematic Literature Review (SLR) approach based on PRISMA 2020 guidelines, analyzing 23 selected peer-reviewed articles published between 2021 and 2026. The findings indicate that successful digital transformation is not solely determined by technological advancement but largely influenced by human-centered factors. Adaptive and transformational leadership plays a critical role in fostering trust, reducing resistance, and maintaining employees’ emotional stability during organizational change. Furthermore, an innovative organizational culture, transparent communication, and continuous training significantly enhance employee engagement, adaptability, and performance. Psychological factors such as stress and resistance can either hinder or support change outcomes depending on how they are managed. The study highlights the importance of integrating technological, structural, and human aspects to achieve sustainable organizational transformation. The implications suggest that organizations should prioritize human-centered change strategies, strengthen digital literacy, and promote adaptive leadership to remain competitive in the Society 5.0 era.

Management psychology is an important approach in managing educational organizations, as it emphasizes understanding individual behavior, motivation, and patterns of interaction within an institution. In practice, educational management requires not only managerial skills but also insight into psychological factors that influence teachers’ performance, the learning process, and overall organizational dynamics. Therefore, studying management psychology is relevant to examine how these concepts are applied in educational settings. This study aims to explore the development of research on management psychology in the field of education and to identify its role and contribution to improving the effectiveness of educational organizations. The research questions addressed in this study are: (1) how has management psychology been developed in educational research, and (2) how does it contribute to enhancing the effectiveness of organizational management in education? This research employs a qualitative literature review method. The literature search was conducted using the Google Scholar database with the assistance of the Publish or Perish application, using the keyword “management psychology.” From the initial 30 articles identified, a screening and selection process was carried out, resulting in 5 articles that were analyzed in depth. The findings reveal three main themes in the literature: classroom and learning management, leadership in educational organizations, and the development of work environment and human resource performance. These results indicate that management psychology plays a significant role in improving the effectiveness of educational institutions. Therefore, future research is recommended to examine the empirical application of management psychology across various educational organizational contexts in order to gain a more comprehensive understanding.

Employee engagement is critical to organizational performance, employee well-being, and long-term sustainability. In hybrid work contexts, generational differences have become increasingly evident, particularly between Generation Y and Generation Z employees. Generation Y tends to emphasize work–life balance, career development, and meaningful collaboration, while Generation Z prioritizes flexibility, job security, digital integration, and the use of technology in the workplace. This study adopts a systematic literature review (SLR) approach by synthesizing findings from various peer-reviewed studies related to employee engagement and hybrid work practices across generations. The review focuses on identifying key factors that influence employee engagement in modern work environments. The results indicate that hybrid work can significantly enhance employee engagement when organizations provide flexibility, autonomy, adequate technological support, professional development opportunities, and fair reward systems. In addition, supportive organizational culture and effective leadership are important in maintaining employee motivation and commitment. However, differences in generational expectations require organizations to implement adaptive managerial strategies, including flexible work policies, personalized communication approaches, and inclusive leadership practices to strengthen employee engagement across different generations in hybrid work settings.

The purpose of this study was to determine the direct effect of personality characteristics and intellectual abilities on employee performance in the digital era and competence, the effect of competence on performance, and the indirect effect of personality variables and intellectual abilities on employee performance in the digital era through competence as an intervening variable in BPSDM Jambi Province. The type of research used is quantitative research with primary and secondary data. Sampling used a simple random sampling technique so that 65 employees were selected as respondents. Data collection used a questionnaire and data analysis used Smart PLS. The results of the analysis showed that personality characteristics directly affect performance and competence with a significance value of P <0.05, intellectual abilities do not affect performance and competence with a significance value of P>0.05, and competence does not affect the performance of BPSDM Jambi Province employees in the digital era with a significance value of P>0.05. Furthermore, the direct effect shows that employee competence does not mediate the influence of personality characteristics and intellectual abilities on employee performance. This shows that personality characteristics and intellectual abilities do not affect performance through employee competence as an intervening variable.