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The development of information technology and the internet has increased the use of online marketplaces as sources of transaction and information, including in the used vehicle sector. OLX provides vehicle information such as price, brand, year, fuel type, mileage, and seller location, but the data is presented individually, making overall market analysis difficult. This study aims to design a used car market analysis dashboard based on OLX advertisement data in the Greater Jakarta area using a Business Intelligence (BI) approach. Data were collected through web scraping and processed through data cleaning to improve quality. Market segmentation was conducted using the K-Means Clustering method based on vehicle price, year, and mileage. A Star Schema analytical database was implemented to support data management and visualization. User information needs were identified through questionnaires to determine Measures and Key Performance Indicators (KPIs). The dashboard was developed using Microsoft Power BI and features interactive visualizations, including KPI Cards, Bar Charts, Line Charts, and Pie Charts. Results show that the dashboard presents market information in a structured and informative manner, including vehicle counts, average prices, market trends, brand and location distributions, and segmentation results. Black Box Testing confirmed that all dashboard functions operated as expected, supporting faster and more effective data-driven decision making.

This study aims to examine how student interns perceive the performance of tax services at the Mojokerto Tax Office (KPP). This study employs a qualitative approach using descriptive methods. Data were collected through interviews with interns assigned to the service division, specifically at the Integrated Service Center (TPT). The interview results indicate that the tax service framework at the Mojokerto Primary Tax Office is viewed positively, is well-organized, and is beginning to evolve toward a modern and digital service approach through CORETAX technology. The shift toward digital services is believed to improve efficiency, streamline the process of obtaining a Taxpayer Identification Number (NPWP), simplify annual tax reporting, and enhance access to additional tax services. Additionally, the quality of service provided by staff was rated as friendly, professional, interactive, and supportive in helping taxpayers understand the service process. Nevertheless, several challenges were noted, including a lack of general awareness among taxpayers regarding digital platforms particularly among older taxpayers increased wait times during the annual tax filing season, and occasional system disruptions that affected service delivery. Based on interview findings, the tax service framework at the Mojokerto Pratama Tax Office is considered fairly efficient, although there is still room for improvement in promoting the adoption of digital services, enhancing service facilities, and creating a more user-friendly system.

The transition toward Society 5.0 has transformed the educational landscape by requiring teachers to integrate digital technology into learning while maintaining a human-centered approach. However, preliminary observations at SMK Paramitha Bukittinggi revealed that many teachers still experienced difficulties in using digital technologies effectively, indicating challenges related to leadership support, digital competence, and self-efficacy. This study aims to analyze the influence of transformational leadership, digital competence, and self-efficacy on teacher performance in the Society 5.0 era. The research employed a quantitative approach with a causal associative design. The population consisted of all 35 teachers at SMK Paramitha Bukittinggi, and total sampling was applied so that the entire population served as research respondents. Data were collected through questionnaires using a five-point Likert scale and analyzed using multiple linear regression with the Ordinary Least Squares (OLS) method through SPSS version 25. The findings revealed that transformational leadership had a positive and significant effect on teacher performance (t = 2.407; p = 0.016), digital competence also had a positive and significant effect (t = 2.277; p = 0.027), and self-efficacy showed the strongest positive and significant effect (t = 15.658; p = 0.000). Simultaneously, the three independent variables significantly influenced teacher performance (F = 378.268; p = 0.000), with an adjusted R² value of 0.859, indicating that 85.9% of the variation in teacher performance could be explained by the model. The study concludes that transformational leadership, digital competence, and self-efficacy are critical determinants of teacher performance in the Society 5.0 era. Strengthening these factors can significantly enhance teachers' ability to adapt to technological advances and improve the quality of learning processes.

Public Wi-Fi services (Wifi_STAKat) at the State Catholic College of Pontianak continue to face technical issues, such as network speed and connection stability, as well as non-technical challenges, including the responsiveness of administrators to user complaints. This study aims to analyze user satisfaction based on the five Servqual dimensions and to map improvement priorities using the Importance–Performance Analysis (IPA) method. The relationship between Servqual and IPA is explained by mapping GAP values (perception–expectation) into the four IPA quadrants to determine the urgency level of service improvements. A 4-point Likert scale was used to avoid neutral responses and strengthen the clarity of respondents’ perceptions. The results show that all dimensions have negative GAP scores, particularly responsiveness and reliability, which are directly related to technical indicators (speed, stability, coverage) and non-technical factors (responsiveness to complaints, ease of access. The study recommends integrating an IT-based monitoring system and increasing network capacity to improve service quality.

This study aims to describe the role of the principal in implementing teacher performance appraisal and its impact on the quality of learning at TK Islam Al-A’raaf Gentan. The research employed a qualitative approach with a descriptive design, in which data were collected through observation, interviews, and documentation. The subjects of this study were the principal and teachers, focusing on the implementation of teacher performance appraisal and its follow-up processes. The findings indicate that the principal plays a strategic role in planning, implementing, and evaluating teacher performance appraisal through systematic academic supervision, including pre-observation, observation, and post-observation stages. The follow-up actions are carried out in a structured manner, ranging from guidance and warnings to rewards for high-performing teachers. The implementation of teacher performance appraisal has a positive impact on the quality of learning, such as improving teacher professionalism, creating active and engaging learning environments, and enhancing students’ motivation and learning outcomes. Therefore, the effective role of the principal in teacher performance appraisal is a crucial factor in improving educational quality.

The completeness of nursing care documentation serves as a primary indicator of hospital service quality and remains a critical component of patient safety, clinical communication, and legal accountability. Despite its importance, empirical evidence from various healthcare facilities indicates that nursing records are frequently suboptimal, incomplete, or inconsistent. This study aims to analyze the complex interrelationships between burnout and coaching on the completeness of nursing care documentation, specifically examining the role of nursing competence as a mediating (intervening) variable at the Dr. Chasbullah Abdulmadjid General Hospital in Bekasi City. Utilizing a quantitative research framework with a cross-sectional design, this study sampled practicing nurses stationed across inpatient and intensive care units. Primary data were gathered through a validated, structured questionnaire designed to measure psychological burnout, the frequency of clinical coaching, perceived professional competence, and the objective completeness of documentation. The data were subjected to rigorous analysis using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to test the hypothesized pathways within the conceptual model. The results demonstrated that burnout exerts a significant negative influence on both nursing competence and the quality of documentation, suggesting that emotional exhaustion hinders professional performance. Conversely, systematic coaching was found to have a significant positive impact, directly improving both competence levels and documentation adherence. Critically, the analysis confirmed that nursing competence acts as a vital intervening variable; it effectively mediates and strengthens the influence of both burnout reduction and coaching interventions on the overall completeness of nursing care records. This study concludes that proactive burnout management and the institutionalization of structured coaching programs are essential strategic priorities. By addressing these factors, hospital management can enhance individual nurse competence, thereby ensuring high-quality, comprehensive nursing documentation that supports patient safety and institutional integrity.

Hospitals play a strategic role in improving public health through professional, safe, and high-quality healthcare services. In modern healthcare organizations, service quality is not only determined by medical facilities and technology but also by the quality of human resources, particularly healthcare workers who directly interact with patients. This study aims to analyze the influence of authentic leadership on healthcare workers’ performance and hospital service quality. The study employed a quantitative explanatory research design involving 120 healthcare workers in a hospital setting. Data were collected using questionnaires and analyzed through multiple linear regression analysis. The findings demonstrate that authentic leadership has a positive and significant effect on healthcare workers’ performance, with a regression coefficient value of 0.648 and a significance level of 0.000. Furthermore, authentic leadership indirectly influences hospital service quality through healthcare workers’ performance, with an indirect effect value of 0.521. These findings indicate that leaders who demonstrate honesty, transparency, integrity, and interpersonal support are able to create a healthy work environment that enhances healthcare workers’ motivation, responsibility, and professionalism. Consequently, improved employee performance contributes to better hospital service quality, particularly in responsiveness, empathy, and communication with patients. This study highlights that authentic leadership is an effective leadership approach for strengthening healthcare human resources and improving hospital service quality in contemporary healthcare organizations.

This study aims to improve subcontractor safety performance through strengthening governance systems, leading safety indicators, capability building, and performance monitoring at PT Putra Perkasa Abadi (PPA) Jobsite Borneo Indobara (BIB). The research was motivated by the increasing trend of subcontractor incidents during Quarter 1 to Quarter 3 of 2025, where seven incidents occurred and exceeded the company threshold. In addition, subcontractor performance evaluation scores remained below the target threshold of 70, while customer satisfaction scores in subcontractor management decreased from 8.45 to 7.58. The study applied a continuous improvement approach using Quality Control Circle (QCC), Pareto analysis, Nominal Group Technique (NGT), and root cause analysis with the Ishikawa method. Improvement initiatives were implemented through four strategic pillars: strengthening governance, reinforcing leading indicators, capability building, and integrated dashboard monitoring. The implementation results showed significant improvements in subcontractor safety management. The subcontractor incident frequency rate was reduced to zero incidents in Quarter 4 of 2025, subcontractor performance evaluation increased above the threshold to 70.81, and customer satisfaction scores improved to 8.55. The findings indicate that structured governance strengthening combined with real-time monitoring and subcontractor engagement can significantly improve mining safety performance and stakeholder trust.

Digital transformation in Human Resource Management (HRM) has shifted the organizational paradigm from an administrative function to a strategic function focused on adaptive and sustainable human resource development. This study aims to systematically review the integration of digital technology in HRM practices with particular emphasis on inclusivity and organizational sustainability. The method employed is a literature review analyzing various studies related to the implementation of Artificial Intelligence (AI), big data analytics, and digital systems in recruitment, competency development, and employee performance evaluation. The findings indicate that digital transformation enhances operational efficiency, decision-making quality, and workplace flexibility. However, the adoption of digital technology also creates ethical challenges, including algorithmic bias, unequal access to technology, and concerns regarding employee data privacy. Therefore, the implementation of Equity, Diversity, and Inclusion (EDI) principles is essential in developing fair and inclusive HRM systems. Furthermore, continuous learning cultures and flexible work models have proven effective in supporting employee well-being while strengthening organizational resilience in facing global changes. This study emphasizes the importance of synergy between technological innovation, ethical leadership, and sustainability in building HRM systems that are responsive to the future of work.

 The quality of digital system services in the ship clearance process is closely related to the work effectiveness of shipping agency companies. The advancement of port operational services is influenced by the system’s ability to provide convenience, speed, accuracy, and service integration for users. The system used in the ship clearance process must be able to meet user needs and support inter-agency coordination so that ship services can operate more effectively and efficiently. This study aims to analyze the performance level and the level of user importance regarding the implementation of the Single Submission Pengangkut System in the ship clearance process at PT Trans Cakrawala Perkasa. The research employed a descriptive quantitative approach with a sample of 30 respondents consisting of ship agents involved in the clearance process. Data were collected through questionnaires, observations, and literature studies. The data were analyzed using validity tests, reliability tests, conformity level analysis, and the Importance Performance Analysis (IPA) method. The results indicate that the SSM Pengangkut System has made a positive contribution to accelerating document processing, facilitating system usage, increasing work productivity, and supporting coordination among related agencies. Based on the IPA Cartesian diagram, one indicator was identified as a priority for improvement, while other indicators were categorized as maintain performance, low priority, and high performance with lower importance levels. Overall, the implementation of the Single Submission Pengangkut System has been running quite well; however, continuous evaluation and improvement are still needed to optimize the ship clearance process further.

The quality of learning is one of the important factors in the success of the educational process. Teachers and principals have a very important role in creating effective and quality learning. Therefore, appropriate psychological strategies are needed in managing learning as well as improving teacher motivation and performance. This study aims to determine the psychological strategies used by teachers and principals in improving the quality of learning. The research method used in this study is a literature review by analyzing several journals related to educational management and educational psychology. The results of the study show that psychological strategies such as teacher work motivation, principal leadership, effective communication, and organizational conflict management can improve the quality of learning in educational institutions. In addition, the application of psychological approaches can create a more positive school climate, strengthen cooperation among educational stakeholders, and support the development of professional teacher behavior. The findings indicate that the success of learning quality improvement depends not only on instructional techniques, but also on emotional, motivational, and leadership factors within the school environment.

.This study aims to analyse the role of Financial Information Systems (FIS) in supporting risk management, decision-making, and organisational performance in the digital transformation era. This study employs the Systematic Literature Review (SLR) method to examine articles indexed in Scopus from 2016 to 2026. The PRISMA framework is used to ensure a systematic, transparent article selection process, resulting in the selection of 37 relevant articles for further analysis. The results of the study show that Financial Information Systems make a major contribution to improving financial transparency, operational efficiency, the quality of strategic decision-making, and organisational risk mitigation. In addition, the integration of emerging technologies such as Artificial Intelligence (AI), FinTech, big data analytics, and cloud computing further strengthens the effectiveness of financial information systems in modern organisations. This study contributes theoretically by mapping research trends and identifying research gaps, while providing practical benefits for organisations seeking to increase competitiveness through digital financial systems. For future research, it is recommended to develop a more predictive and intelligent Financial Information Systems model to address future business dynamics.

This study is based on the increasingly rapid development of the knowledge-based economy, where human capital is now regarded as one of the important assets in creating a company’s competitive advantage, especially in the energy and oil and gas sectors in Indonesia. This study aims to determine the effect of human capital and labor intensity on corporate financial performance, which is proxied by Return on Assets (ROA) during the 2021–2024 period. The research method used is a quantitative approach with multiple linear regression analysis. The research data were obtained from sample companies selected using a purposive sampling technique. The results of the study show that human capital, proxied by Value Added Human Capital (VAHU), has a positive and significant effect on corporate financial performance. These findings indicate that good human resource management is capable of increasing the company’s profitability level. On the other hand, labor intensity is proven to have a negative and significant effect on financial performance. This indicates that a high level of company dependence on labor, without being balanced by operational efficiency, can reduce the company’s ability to generate profits. In addition, simultaneously both variables are able to explain 74.5% of the variation in Return on Assets (ROA), so it can be concluded that human capital and labor intensity have a considerable contribution to corporate financial performance. Based on these results, companies need to prioritize improving the quality and competence of the workforce rather than merely focusing on increasing the number of employees. This step is important to maintain the stability of corporate financial performance in the post-pandemic era. In addition, companies also need to effectively control labor costs so that a decline in net profit margins can be avoided.

This study aims to analyze the effect of wages and work environment on employee performance at PT. Rezeki Surya Gasindo. The background of this research is based on the importance of decent wages and a conducive work environment as factors that can enhance employee productivity and work quality. This study employs a quantitative method with a causal associative approach. Data were obtained through the distribution of questionnaires to all employees of PT. Rezeki Surya Gasindo and measured using a Likert scale. The data analysis techniques used in this study include validity and reliability tests, R-square test, and hypothesis testing through bootstrapping with SmartPLS 3 software. The results indicate that wages have a positive and significant effect on employee performance, and similarly, the work environment also has a positive and significant effect on employee performance. Simultaneously, wages and work environment are proven to have a significant effect on employee performance. These findings suggest that the company should pay attention to providing appropriate wages and creating a comfortable work environment in order to optimize employee performance.

The increasing use of mobile applications in the retail industry has generated a large volume of user reviews that contain valuable insights regarding customer experience and service quality. However, the unstructured nature of these reviews requires an automated approach to extract meaningful patterns efficiently. This study aims to perform sentiment analysis on user reviews of the Indomaret Poinku application by integrating lexicon-based labeling with machine learning classification. A total of 10,000 reviews were collected from Google Play Store and processed through a series of text preprocessing steps, including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling was performed using the Indonesian Sentiment Lexicon (InSet), producing three sentiment classes: positive, negative, and neutral. The labeled data were vectorized using CountVectorizer and classified using two algorithms: K-Nearest Neighbors (KNN) and Random Forest (RF). Evaluation results show that Random Forest outperforms KNN, achieving an accuracy of 82.5%, compared to 69% for KNN. Random Forest demonstrates superior performance in handling high-dimensional sparse text features and yields more stable predictions across sentiment classes. This study contributes to the growing body of research on Indonesian sentiment analysis by demonstrating the effectiveness of combining lexicon-based labeling with ensemble learning methods, offering practical implications for developers seeking to improve the quality and user satisfaction of digital retail applications.

Student dropout in higher education remains a persistent socioeconomic challenge, yet many predictive models reported in the literature are methodologically compromised by randomized cross-validation schemes that introduce temporal data leakage and artificially inflate predictive performance. This study proposes a longitudinal prescriptive learning analytics framework integrating three complementary methodological components: a Leave-One-Cohort-Out (LOCO) temporal validation protocol, a hybrid SMOTE-ENN class balancing strategy, and temporal velocity feature engineering derived from Learning Management System (LMS) behavioral trajectories. The framework was evaluated on a longitudinal dataset comprising 464,739 enrollment records and 77 features. Five predictive algorithms—XGBoost, LightGBM, CatBoost, Random Forest, and Logistic Regression—were comparatively assessed on a strictly isolated blind holdout cohort (2022), with CatBoost emerging as the champion estimator, achieving a PR-AUC of 0.8859, a Macro F1-Score of 0.9143, and the lowest Brier Score (0.0221), thereby demonstrating superior calibration and discriminative capability under severe class imbalance (93:7 ratio). Comprehensive ablation analysis revealed that temporal velocity features function not merely as additive predictors, but as a structural prerequisite enabling Synthetic Minority Oversampling Technique with Edited Nearest Neighbors (SMOTE-ENN) to generate high-quality synthetic boundary instances; removing these features reduced minority-class precision from 0.8302 to 0.6721. To operationalize predictive outputs into actionable intervention pathways, Diverse Counterfactual Explanations (DiCE) were implemented under a three-tier causal constraint architecture on 96 borderline high-risk students, generating 384 feasible intervention scenarios exclusively targeting forward-looking behavioral velocity metrics without constraint violations. Collectively, these findings advance the paradigm of prescriptive learning analytics by providing educational institutions with interpretable risk diagnostics and operationally feasible intervention guidance grounded in empirically validated behavioral and temporal dynamics.

 This study examines women’s transformational leadership in educational institutions through a systematic literature review approach. The increasing involvement of women in leadership positions in schools and universities has attracted academic attention to understand their contribution to organizational development and the improvement of educational quality. This study aims to synthesize recent empirical research findings on women’s transformational leadership in education. The method used was a Systematic Literature Review (SLR) by identifying, evaluating, and synthesizing relevant studies published between 2021–2026 through academic databases such as Google Scholar and ScienceDirect using the keywords “transformational leadership,” “women leadership,” and “education or school.” After a selection process based on inclusion and exclusion criteria, 15 empirical articles were analyzed. The findings indicate that female leaders tend to demonstrate transformational leadership characteristics, including inspirational motivation, intellectual stimulation, idealized influence, and individualized consideration. These leadership practices positively affect teacher motivation and performance, organizational commitment, organizational climate, and learning innovation. However, women in leadership positions still face challenges such as gender stereotypes, structural bias, and social expectations regarding gender roles, indicating the need for institutional support and more inclusive policies.

This research is motivated by the increasing role of Artificial Intelligence (AI) in organizational transformation and the crucial function of leadership in ensuring its successful implementation. The primary objective of this study is to analyze the relationship between leadership, AI integration, and organizational performance, as well as to identify various challenges and supporting factors in the process. This study employs a systematic literature review (SLR) method by examining 30 relevant, reputable scientific articles from the Scopus and Google Scholar databases within the 2020–2026 timeframe through selection, evaluation, and thematic synthesis processes. The results indicate that AI integration significantly contributes to improving operational efficiency, data-driven decision-making quality, and organizational innovation. However, this success heavily depends on the role of adaptive, transformational, and digitally-oriented leadership capable of steering the technological vision. Conversely, major challenges were identified, such as employee resistance, limited digital competencies, and ethical issues surrounding data privacy. This study contributes to strengthening the conceptual understanding of leadership's role as a bridge between technology and organizational performance, while offering practical implications for management in designing effective, inclusive, and sustainable digital transformation strategies.

This study examines the efficiency of financial ratios in assessing corporate performance across countries. Although financial ratios are widely used as concise indicators of profitability, liquidity, solvency, and market value, their interpretive accuracy may vary across institutional, regulatory, financial, and macroeconomic environments. The objective of this study is to conceptually evaluate whether financial ratios can function as universally comparable performance measures in heterogeneous cross-country settings. Using a qualitative literature-based method, this study synthesizes prior findings on financial ratio analysis, financial statement comparability, market efficiency, regulatory enforcement, and macroeconomic stability. The findings indicate that profitability, liquidity, solvency, and market-based ratios are context-dependent indicators rather than universally stable measures. Their efficiency is influenced by accounting standards, audit quality, leverage norms, tax systems, capital market maturity, and macroeconomic volatility. The study proposes a contextual framework for interpreting financial ratios according to their sensitivity to national conditions. The implication is that researchers, analysts, and investors should combine ratio analysis with institutional and macroeconomic diagnostics to reduce biased performance interpretation in cross-country corporate evaluation.

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.