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This study examines the pedagogical transformation of Islamic Religious Education (PAI) teachers in realizing gender-equitable and inclusive learning. Ideal PAI teacher pedagogy encompasses not only content mastery but also pedagogical competence and social sensitivity capable of responding fairly to learner diversity. This study identifies that traditional teacher-centered, rote-oriented pedagogy with minimal gender awareness constitutes a primary barrier to creating equitable learning environments. The required transformation includes developing cooperative learning strategies, eliminating gender bias in classroom interactions, differentiating instruction according to student needs, and using inclusive stereotype-free teaching materials. The theological foundation of Islam affirms that human dignity regardless of gender as emphasized in QS. Al-Hujurat: 13 aligns with inclusivity values in education, making this transformation an authentic manifestation of the rahmatan lil'alamin principle rather than a deviation from Islamic values. Despite ongoing challenges including entrenched patriarchal culture, limited gender literacy, insufficient inclusive teaching materials, and social resistance, this pedagogical transformation carries broad implications for improving learning quality, strengthening tolerance, and enhancing PAI teacher professionalism in Indonesia.

This study is motivated by the importance of the principal’s leadership role in improving the effectiveness of organizational management in Early Childhood Education (ECE) institutions. As an educational leader, the principal is responsible for organizing, directing, and coordinating all available resources in ECE institutions to ensure they function effectively and efficiently. The aim of this study is to analyze the influence of principal leadership on ECE organizational management. The research method used is a qualitative approach with data collection techniques including observation, interviews, and documentation studies. The findings indicate that effective principal leadership, particularly democratic and participatory leadership styles, has a positive influence on improving the quality of ECE organizational management in terms of planning, organizing, implementation, and program evaluation. In addition, effective leadership also enhances teacher performance and creates a conducive working environment. The implication of this study suggests that improving the leadership competence of principals is essential to support the optimal management of ECE institutions.

This study examines legal protection for victims of criminal offenses from a victimological perspective, emphasizing the position, rights, and needs of victims within the criminal justice system. Victimology, as a scientific discipline, highlights that victims are not merely objects of crime but subjects who are entitled to protection, restoration, and justice. This research employs a normative juridical method supported by a conceptual and statutory approach to analyze existing legal frameworks governing victim protection. The findings indicate that although legal instruments have provided various forms of protection such as restitution, compensation, and psychological assistance their implementation remains suboptimal due to institutional limitations, lack of awareness, and procedural constraints. From a victimological standpoint, effective protection requires a balanced approach between offender accountability and victim recovery, including recognition of victims' rights, access to justice, and comprehensive rehabilitation. Therefore, strengthening regulations, improving institutional coordination, and adopting a more victim oriented justice system are essential to ensure optimal legal protection for victims of criminal acts.

Educational financing management plays an important role in improving the quality of education in primary schools. However, limited school operational funds often become an obstacle to achieving optimal educational outcomes. This study aims to analyze the efficiency of educational financing as a strategy for improving education quality at SDN Mekarjaya, Tasikmalaya Regency. The research employed a qualitative descriptive approach with a case study design. Data were collected through interviews, observations, and documentation studies involving the principal, teachers, and school financial documents. The findings indicate that the implementation of data-based planning, priority-scale budgeting, digital financial administration through the ARKAS application, and collaboration with various stakeholders contributed positively to improving school quality. Financing efficiency supported literacy programs, teacher competency development, learning effectiveness, and school management improvement. Although the school still faced challenges related to limited funding sources and administrative constraints, efficient financial management enabled the school to optimize available resources effectively. This study concludes that efficient, transparent, and accountable educational financing management can serve as a strategic instrument in supporting sustainable improvement in the quality of primary education.

The development of digital content on the YouTube platform encourages creators to produce more engaging and informative podcast videos through the editing process. This study discusses the video podcast editing workflow of the Tikitalk program on the Ampu Studio YouTube channel using Adobe Premiere Pro. This research also aims to understand how the editing stages are carried out in improving the quality of video podcast presentation. The research method used is descriptive qualitative through direct observation during internship activities, so that the data is obtained based on real field experience. The results of the study show that the editing process, such as video cutting, transition settings, audio adjustment, audio censoring, and the addition of motion graphics, can significantly improve the quality of video podcast presentation. In addition, this process also helps make the content more organized, informative, and engaging for viewers. Thus, the role of the editor in the production process is very important in supporting the quality of digital content on the YouTube platform. Therefore, it can be concluded that editing is not only a technical process, but also an important part in increasing the attractiveness and professionalism of a video podcast.

The Ten Scholars per Village Scholarship Program is a policy of the Government of Bojonegoro Regency aimed at improving access to and equity in higher education for rural communities through tuition fee (UKT) assistance. This study aims to analyze the effectiveness of the program implementation in Kepohbaru District using a descriptive qualitative approach and five effectiveness indicators proposed by Campbell J.P., namely program success, target achievement, satisfaction with the program, input and output levels, and goal attainment. Data were collected through interviews, observations, and documentation involving the Education Office, sub-district and village governments, scholarship recipient students, and the parents of scholarship recipients as informants. Data analysis was conducted based on Sugiyono’s model, including data reduction, data display, and conclusion drawing/verification, with validity tested through triangulation. The results show that the program has been implemented sustainably and contributes to supporting the continuity of higher education for rural students. Target achievement has been administratively fulfilled, although equity and quota distribution remain challenges. The level of satisfaction among recipients and parents is relatively good; however, there are still obstacles related to information dissemination and administrative processes. In terms of input and output indicators, the program is considered fairly effective as it consistently distributes financial assistance. Overall, the program is fairly effective in increasing access to and continuity of higher education, although improvements are still needed in terms of equity and implementation quality.

Management psychology is a crucial aspect in enhancing learning effectiveness and improving the performance of educational institutions in the face of contemporary educational challenges. This approach emphasizes the role of psychological factors such as motivation, leadership, communication, and organizational culture in supporting effective educational management. This study aims to examine the role of management psychology in improving educational quality and to explore how psychological aspects contribute to organizational effectiveness. The research uses a literature review method, drawing data from Google Scholar and Publish or Perish (PoP) with publications from 2020 to 2026 using the keyword “management psychology.” From 21 initial articles, 15 met the screening criteria, and five main articles were analyzed in depth. The findings highlight three key themes: improving performance and learning outcomes, strengthening leadership and organizational communication, and managing conflict and human resources. Overall, the literature shows that psychological approaches significantly enhance the effectiveness of educational organizations. In conclusion, management psychology plays a strategic role in educational management, and future research should expand the scope of literature and integrate quantitative methods to strengthen empirical findings.  

This study aims to examine the integration of Generative AI in higher education through the perspective of the SAMR framework, which consists of Substitution, Augmentation, Modification, and Redefinition. The study used a narrative literature review method by analyzing 30 relevant academic publications published between 2023 and 2025. The findings reveal that the implementation of GenAI in higher education is still predominantly situated at the substitution and augmentation levels, with primary functions focused on improving efficiency, automation, and academic assistance. In contrast, transformative applications categorized under modification and redefinition remain relatively limited and are still in the early stages of development. This study concludes that although Generative AI possesses substantial potential to transform higher education practices, its current implementation has not yet reached an optimal transformative stage. Therefore, future educational practices should emphasize the development of more transformative implementation strategies that move beyond efficiency-oriented utilization toward fostering pedagogical innovation and meaningful learning transformation.

This study aims to describe and analyze the implementation of Project-Based Learning (PjBL) in improving elementary school students’ learning achievement in the Education Coordination Area (Korwil) of Rajadesa District, Ciamis Regency. The study employed a qualitative approach using a case study method to obtain an in-depth understanding of the planning, implementation, and evaluation of project-based learning. The research subjects consisted of principals, teachers, students, and school supervisors involved in the learning process. Data were collected through observation, in-depth interviews, and documentation studies. The data were analyzed using the interactive analysis model of Miles and Huberman, including data reduction, data display, and conclusion drawing. Data validity was ensured through source triangulation, technique triangulation, and member checking. The findings revealed that the implementation of PjBL was carried out through three main stages: planning, collaborative implementation, and authentic assessment. PjBL was proven to improve students’ cognitive, affective, and psychomotor learning achievement, as well as enhance critical thinking, communication, collaboration, and creativity skills. The novelty of this study lies in the contextual PjBL implementation model based on local characteristics that integrates collaborative, contextual, and reflective learning aspects into a unified learning cycle.

The purpose of this study is to analyze and evaluate the effectiveness of digital marketing strategies implemented by Micro, Small, and Medium Enterprises (MSMEs), particularly those engaged in the culinary sector, within the Pasar Raya MMTC (Medan Metropolitan Trade Center) area in facing digital era competition. The research method employed is descriptive qualitative with a case study approach. Data collection involved in-depth interviews with MSME owners, observation of digital promotional activities (Social Media and Marketplaces), and content analysis. The results indicate that the most effective and commonly used digital strategies include: (1) Marketplace Optimization (focusing on discount and flash sale features), (2) Social Media Marketing Utilization (Instagram and TikTok for visual/video content), and (3) Collaboration with Local Micro-Influencers or food vloggers. The effectiveness of these strategies is measured by the increase in sales volume (an average of 20-30% after digital adoption) and improved brand visibility. The main obstacles encountered by MMTC MSMEs are the lack of consistency in content creation, limited funds for paid advertising, and insufficient understanding of digital data analytics. This study concludes that digital adaptation is essential, but it must be supported by improving digital literacy and providing targeted assistance focused on analyzing the return on investment (ROI) of digital marketing activities for sustainable growth.

Taxpayer compliance is a crucial factor in optimizing state revenue to support national development financing independently. This study aims to analyze the dynamics of taxpayer compliance in Indonesia by examining two main aspects: individual awareness and the effectiveness of the tax system. The method used is a descriptive qualitative approach with a literature review of various national journals from the last five years. The findings indicate that taxpayer compliance is influenced not only by internal factors such as knowledge, awareness, and tax morale but also by external factors such as tax service quality, system digitalization, and regulatory complexity. Tax reforms and the implementation of digital systems such as e-filing and e-billing have been proven to significantly increase taxpayer compliance through ease of access and reporting efficiency. However, real challenges remain, such as low community tax literacy and perceptions of unfairness regarding the management of tax funds by the government. Therefore, a strong synergy is needed between increasing public awareness through continuous education and improving the taxation system to create sustainable and optimal compliance. Improving transparency and accountability in the management of tax funds is a strategic step to strengthen public trust in tax authorities in Indonesia.

This study aims to determine the effect of Physical Education, Sports, and Health (PJOK) learning on students’ learning outcomes at SMA Muhammadiyah Bumiayu. The research method used is a quantitative method with a correlational (ex-post facto) approach. The subjects of this study were students of SMA Muhammadiyah Bumiayu selected through purposive sampling technique. The research instruments used were a closed-ended questionnaire to measure the PJOK learning implementation variable and report card documentation to measure students’ learning outcomes. Data analysis was conducted using statistical techniques to identify the relationship between variables. The results of this study are expected to provide an empirical overview of the extent to which PJOK learning contributes to improving students’ overall learning outcomes, including cognitive, affective, and psychomotor domains. Furthermore, this study is expected to serve as a reference for improving the quality of PJOK learning in schools.

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.

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.

Patient revisit intention is a key indicator of hospital success in maintaining patient loyalty. In the digital era, the use of digital marketing and the quality of nurse communication play important roles in shaping patients’ perceptions of service quality and their decisions to return. This study aimed to analyze the effect of digital marketing utilization and nurse communication on patient revisit intention, with service quality as an intervening variable at Cabangbungin Regional General Hospital, Bekasi Regency.This research used a quantitative survey design with purposive sampling of outpatient participants. Data were analyzed using index analysis with the three-box method and hypothesis testing through Structural Equation Modeling–Partial Least Squares (SEM–PLS).The findings revealed that digital marketing utilization and nurse communication have a positive and significant effect on both service quality and patient revisit intention. Additionally, service quality was proven to mediate the relationship between digital marketing, nurse communication, and revisit intention. These results highlight the importance of integrating effective digital marketing strategies with empathetic and clear nurse communication to enhance perceived service quality.In conclusion, strengthening digital-based patient engagement, improving communication systems among healthcare professionals, and promoting empathetic service behavior are essential strategies to increase patient loyalty and revisit intention. This study provides practical insights for hospital management in optimizing service quality through digital transformation and communication improvement.

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

This study aims to analyze the implementation of cross-sector education based on community participation as an effort to achieve the Sustainable Development Goals (SDGs) in Watangsono Village, Wonogiri. This research employed a descriptive qualitative approach by collecting data through participatory observation, documentation, and Focus Group Discussions (FGD) involving key stakeholders in the village. The results show that the implementation of cross-sector educational programs covering education, health, economy, and environment has a significant impact on improving community knowledge, skills, and awareness. Community participation was reflected through active involvement in various practical activities, such as anti-bullying education, digital literacy training, stunting prevention through local food processing, herbal plant utilization, natural pesticide production, family health massage practices, and strengthening local economic capacity. The participatory and applicative approach encourages two-way knowledge transfer and strengthens community capacity in managing local resources sustainably. Despite challenges such as limited resources and time constraints, the program demonstrates positive contributions to supporting SDGs achievement at the village level. Therefore, cross-sector education based on community participation can serve as an effective strategy in empowering rural communities and fostering sustainable development.

The Free Nutritious Meal Program (MBG) is a strategic initiative by the Indonesian government to address the long-standing issues of malnutrition and stunting, which have significantly hindered human resource (HR) development in Indonesia. The program aims to improve children's nutrition and reduce stunting by providing free nutritious meals, particularly in areas with limited access to healthy food. This study aims to analyze the legal framework of MBG, its effectiveness in achieving its goals, and its impact on national development. Using a qualitative approach, the study analyzes the implementation of MBG through document analysis, interviews with relevant stakeholders, and field observations. The findings highlight challenges within the program, including imbalanced food distribution, inadequate infrastructure in remote areas, and suboptimal food quality control, which resulted in several food poisoning incidents in 2025. Nevertheless, the program has a positive economic impact by empowering micro, small, and medium enterprises (MSMEs) involved in food supply. The study suggests strengthening the monitoring system, improving budget management, and better coordination between government sectors and communities to maximize the success of MBG. It also emphasizes the importance of nutrition education campaigns to support the program's goals. Overall, MBG is a crucial step toward creating a healthier and more productive generation, supporting the achievement of Indonesia's Golden Generation by 2045..

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 study aims to determine the village financial management of Tinting Village, Sarolangun Subdistrict, in improving community welfare and to identify its supporting and inhibiting factors. This research uses a descriptive qualitative approach with data collection techniques through interviews and documentation. The informants in this study were the village secretary, village treasurer, and the Village Activity Implementation Team (TPKAD). Data analysis was conducted through data reduction, data display, and conclusion drawing. The results show that the financial management of Tinting Village has been implemented through planning, implementation, administration, reporting, and accountability stages. However, it has not been fully optimal in improving community welfare, as it is still dominated by infrastructure development rather than community economic empowerment programs. The supporting factors include clear regulations, cooperation among village officials, and community participation. Meanwhile, the inhibiting factors consist of limited human resources of village officials, low community understanding, and limited budget for empowerment programs