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This study aims to describe the integration of environmental education into early childhood learning activities at TK Prawidya Dharma Demulih through the use of recycled waste as a creative and educational learning medium. The study was motivated by the low environmental awareness among children and the limited use of environmentally themed learning media in the institution. A qualitative descriptive approach was applied using the ADDIE development model, consisting of the stages of analysis, design, development, implementation, and evaluation. The findings reveal that employing a recycled-material spinner game enhanced children’s understanding of environmental cleanliness and encouraged environmentally responsible behavior through playful learning activities. The children showed strong enthusiasm, participated actively, and began to develop habits related to cleanliness after the learning sessions. Moreover, teachers gained new insights into designing innovative and functional learning media using discarded materials. Overall, the use of recycled waste as an educational tool proved effective in fostering environmental awareness while supporting creativity and meaningful learning experiences for early childhood learners..

This study aims to investigate the impact of social media advertising on clothing choices at Universitas Dinamika Bangsa Jambi students. In today's world, where many people, especially young people who frequently shop online, often struggle to accurately determine the quality of items. A quantitative approach was employed, with a survey as the primary method of data collection. A questionnaire was distributed online via Google Forms and successfully elicited responses from 102 active students who are also social media users. The sampling technique used was purposive sampling, with participants selected based on criteria that matched the focus of the study. The data were then processed using SmartPLS 4 software with the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to test the relationship between variables. The main findings indicate that social media promotions have a strong positive influence on students' clothing purchasing decisions. This underscores the crucial role of targeted advertising strategies in the digital world in shaping consumer preferences. This research is expected to serve as a guide for clothing entrepreneurs in developing online marketing plans that better suit the tastes and needs of students as their target market.

The rapid development of digital technology and the increasing demand for entrepreneurial competence in higher education require students to possess adequate digital literacy and financial literacy, as well as obtain continuous institutional support to shape and strengthen their entrepreneurial interest. This study aims to empirically analyze the influence of digital literacy, financial literacy, and institutional support on the entrepreneurial interest of students in the Islamic Business Management Study Program at the Faculty of Economics and Islamic Business, UIN Raden Mas Said Surakarta. A quantitative approach was used, involving 75 respondents selected through accidental sampling, while the research data were analyzed using multiple linear regression. The results of the study indicate that all three independent variables have a positive and significant effect on students' entrepreneurial interest, with the model contributing 42.7%. These findings highlight the importance of integrating digital competencies, effective financial management, and a supportive campus ecosystem to foster students' entrepreneurial intentions. This study provides practical implications for higher education institutions to strengthen curricula, learning facilities, and mentoring programs aimed at developing young, digitally-driven, and sustainable entrepreneurs.

This study aims to examine and analyze the effects of product quality and distribution channel on repurchase intention, with customer satisfaction and customer trust serving as mediating variables. The research employed a quantitative method with a causal-explanatory approach. The study population consisted of customers at the Weber building materials manufacturing company in East Java, with a sample of 275 respondents selected using purposive sampling. Data were collected via questionnaires and assessed using a Likert scale. The data analysis was conducted using the Structural Equation Modeling (SEM) technique with Partial Least Squares (PLS) software. The findings of the study reveal the following: 1) Product quality has a significant positive effect on customer satisfaction; 2) Product quality has a significant positive effect on customer trust; 3) Product quality has a significant positive effect on repurchase intention; 4) Distribution channel has a significant positive effect on customer satisfaction; 5) Distribution channel has a significant positive effect on customer trust; 6) Distribution channel has a significant positive effect on repurchase intention; 7) Customer satisfaction has a significant positive effect on customer trust; 8) Customer satisfaction has a significant positive effect on repurchase intention; 9) Customer trust has a significant positive effect on repurchase intention.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

This study aims to examine the effect of employee competence, behavioral control, and trust on employee performance at the Bojonegoro District Health Office with Organizational Citizenship Behavior (OCB) as an intervening variable. The background of this study is related to the importance of employee performance in achieving public service organizational goals, particularly in the health sector. This study uses an explanatory quantitative method with a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The research sample consisted of 100 employees at the Bojonegoro District Health Office. The results of the analysis show that the influence of employee competence on employee performance is not significant, but employee competence has a significant influence on OCB. Behavioral control has a significant effect on employee performance, but its effect on OCB is not significant. Trust has a significant effect on OCB, but its direct effect on employee performance does not. OCB is proven to have a significant effect on employee performance. Therefore, OCB plays an important role as a mediator in improving employee performance. This study provides a theoretical contribution by clarifying the relationship between variables in the context of public service-based government organizations. In practical terms, the results of this study are expected to form the basis for recommendations to improve the quality of human resources and develop managerial strategies at the Bojonegoro District Health Office in order to support the effectiveness and efficiency of public services.

This study investigates the impact of board characteristics on the financial performance of non-financial companies listed in the JII70 index in Indonesia. Motivated by the ongoing debate on the effectiveness of corporate governance mechanisms in enhancing firm outcomes, particularly within Sharia-compliant markets, this study focuses on three key board attributes: board size, board independence, and female representation on the board. Using a quantitative causal approach and panel data from 25 companies over the period 2020–2023, the study employs a fixed effect model to evaluate the relationship between board structure and financial performance measured by Return on Assets (ROA). The results show that board size has a positive and significant effect on firm performance, indicating that larger boards may enhance oversight capacity and provide broader resources beneficial to strategic decision-making. Conversely, board independence and board female representation do not exhibit significant effects on financial performance, suggesting that their roles may be more symbolic or constrained by institutional and contextual factors in the sampled companies. These findings highlight the importance of understanding corporate governance not merely in structural terms, but in relation to functional effectiveness and contextual maturity. The study offers implications for regulators, companies, and governance reform initiatives, particularly regarding strengthening substantive roles of independent and female commissioners in improving firm performance within Sharia-compliant markets.

This study aims to analyze the influence of Innovative Work Behaviour, Upskilling, and Work Ethic on the Health Workers Performance with Intention to Stay as an intervening variable at RSUD Sumberrejo. The background of this research stems from challenges in improving service quality, high workload, and the need to strengthen competency and retention among health workers. The study employs a quantitative approach using a survey method through the distribution of questionnaires, with data analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) through SmartPLS version 4.0. The population consists of 216 employees, and the sampling technique used is non-probability sampling, resulting in 140 respondents. The findings reveal that Innovative Work Behaviour, Work Ethic, and Intention to Stay have a significant positive effect on the performance of health workers. In addition, Innovative Work Behaviour and Work Ethic significantly influence Intention to Stay. However, Upskilling shows a positive but non-significant effect on both Intention to Stay and Performance, indicating that skill enhancement requires managerial support and motivation to contribute effectively to employee performance. Intention to Stay serves as a mediating variable in several relationships among the constructs. Strengthening innovative behaviour, work ethic, and competency development, accompanied by appropriate retention strategies, is essential for improving the performance of health workers in regional hospitals. Future studies are recommended to develop the research model by incorporating additional variables that may have stronger effects on Intention to Stay and Performance.

The dynamics of student organization structure have significant implications for talent retention and student career development. This study aims to comparatively analyze the influence of centralization and decentralization structures in the Information Technology Study Program Student Association on the effectiveness of talent retention strategies and career development capacity. The research method uses a quantitative approach with a comparative design involving 120 respondents selected through purposive sampling technique with criteria of at least one period of organizational experience. Data collection instruments use structured Likert scale questionnaires that have been tested for validity and reliability with Cronbach's Alpha values above 0.80. Data analysis uses Structural Equation Modeling and independent sample t-test to compare both structural models. The results show that the decentralization structure has a strong significant effect on talent retention with a path coefficient of 0.628 compared to centralization of 0.312. Comparative analysis identifies substantial differentiation in all dimensions of career development with the decentralization structure consistently outperforming centralization, especially in the aspect of decision-making autonomy. The findings confirm that the distribution of authority in decentralization creates a learning ecosystem that facilitates diversification of leadership experiences and strengthens students' organizational commitment through participatory empowerment mechanisms.

The mathematics learning outcomes of students at SMP Negeri 3 Bontang on Rational Numbers are still relatively low. Data from the 2019 National Examination (UN) shows an average math score of 46.43, which is in the "poor" category. Summative assessment results indicate that most students have not yet achieved the Learning Objective Achievement Criteria (KKTP). This situation indicates that the learning process tends to be conventional and lacks active student engagement. Therefore, a more innovative learning model is needed, one of which is the Team Games Tournament (TGT), which combines group work, competition, and educational games. This study aims to determine the effect of the TGT learning model on the mathematics learning outcomes of seventh-grade students at SMP Negeri 3 Bontang in the topic of Rational Numbers. This study used a quantitative approach with a quasi-experimental type and a Posttest-Only Control Group Design. The study population was 203 seventh-grade students in the 2024/2025 academic year, with a sample consisting of class VII A as the experimental group (33 students) and class VII F as the control group (34 students), selected through a purposive sampling technique. The research instrument was a five-item essay test. The analysis results showed that the average posttest of the experimental group was 67.848, higher than the control group at 61.794. The Independent Sample t-Test produced a significance value of 0.031 <0.05, so H₀ was rejected. This indicates that the Team Games Tournament (TGT) learning model has a significant effect on improving students' mathematics learning outcomes in the Rational Numbers material.

The work behavior of health workers is a key factor in determining the quality of service and patient safety in hospitals. In healthcare organizations with high work demands, feedback and rewards are important instruments of human resource management to form positive work behaviors. However, empirical evidence on the role of rewards as a mediating variable in the relationship between feedback and work behavior of health workers, particularly in Indonesian regional hospitals, is limited. This study aims to analyze the influence of feedback on work behavior through the role of reward mediation in health workers at Konawe Hospital, Southeast Sulawesi Province, Indonesia. This study used a quantitative approach with a cross-sectional design. Data was collected through a survey using a structured questionnaire based on the Likert scale of 170 health workers with ASN status at Konawe Hospital. The sampling technique used a combination of purposive and accidental sampling. Data analysis was carried out with Partial Least Squares–Structural Equation Modeling (PLS-SEM) using SmartPLS software version 4.0. The results showed that rewards had a positive and significant effect on work behavior (β = 0.579; t = 10.308; p = 0.000), and feedback had a positive and significant effect on rewards (β = 0.805; t = 25.851; p = 0.000). In addition, feedback also had a positive and significant effect on work behavior through rewards (β = 0.466; t = 8.362; p = 0.000), which confirms the mediating role of rewards. There is an influence of appraisal on work behavior and feedback on awards and awards has been shown to significantly mediate the influence of feedback on the work behavior of health workers. These findings emphasize the importance of effective feedback management and an integrated reward system as a managerial strategy to encourage positive work behavior and improve the quality of health services in regional hospitals.

This community engagement program aims to strengthen the economic capacity of community groups in Azerbaijan through an integrated model combining artificial intelligence (AI)–supported learning, digital skills enhancement, and practical economic training. Although Azerbaijan has demonstrated rapid digital progress, micro-entrepreneurs still face challenges related to limited digital literacy, insufficient financial planning capabilities, and the absence of structured mentorship that integrates emerging technologies. This program utilizes a participatory development approach involving baseline assessment, AI-driven training modules, intensive workshops, and mentoring over two months. A total of 45 participants from three community clusters were included. Quantitative findings reveal a 63% increase in digital literacy scores and a 67% adoption rate of AI-supported tools for marketing and financial planning. Qualitative insights show improved confidence in business decision-making, better understanding of market dynamics, and enhanced practical skills in budgeting and content creation. Participants also reported early indicators of improved sales performance and customer engagement. The integration of AI tools into community-based capacity-building initiatives demonstrates high effectiveness in accelerating digital readiness and entrepreneurial resilience. The program concludes that structured AI-based interventions can significantly empower grassroots communities in emerging economies. Limitations include the small sample size and short mentoring duration. Future research should explore larger populations and long-term economic outcomes.

This study aims to analyze the effect of profitability, leverage, and liquidity on firm value in food and beverage sub-sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2024 period. Profitability is measured by Return On Assets (ROA), leverage by Debt to Equity Ratio (DER), and liquidity by Current Ratio (CR), while firm value is proxied by Price to Book Value (PBV). The study employs a quantitative approach using multiple linear regression analysis. The sample consists of 25 companies selected through purposive sampling, with a total of 125 secondary data observations obtained from annual financial statements. The results indicate that, partially, profitability, financial risk, and liquidity have a positive and significant effect on firm value. Simultaneously, the three independent variables also significantly affect firm value, with an adjusted R² of 43.4%, meaning that 56.6% of the variation in firm value is explained by other factors outside the model. These findings support agency theory and signaling theory, which suggest that strong financial performance, optimal debt management, and adequate liquidity provide positive signals to investors, thereby enhancing firm value.

The goal of this community service program (PkM) at SMA Negeri 11 Samarinda is to increase students' enthusiasm for reading by providing them with e-books that are based on QR codes. Students' lack of enthusiasm for reading and resources for reading led to the program's inception. E-books with QR codes embedded were presented as a workable approach to digital literacy that caters to the needs of students who were born into the digital age. Several steps were involved in the process, such as determining requirements, creating an e-book, creating QR codes, installing them at key school locations, and finally, monitoring and evaluating the results. Observations and questionnaires were given to 200 students as part of the assessment. Students' interest in and ability to access literature were both enhanced by the usage of QR Codes, according to the findings. In a survey, 82% of people said QR Codes were simple to use, and 85% said they were more motivated to read after using them. In terms of reading frequency, 76% of students saw an improvement, and 72% said they could understand what they read better.With an overall mean score of 4.35 (categorized as excellent), the digital literacy program proved to be effective and positively received. Overall, the implementation of QR Code–based e-books successfully strengthened digital literacy practices and created a more engaging, flexible, and sustainable reading experience, offering a model for digital literacy initiatives in other schools.

This study aims to determine the effect of compensation on employee performance through job satisfaction as an intervening variable at PT Sumber Alfaria Trijaya Tbk Jambi Branch. The population and sample in the study were all employees of PT Sumber Alfaria Trijaya Tbk Jambi Branch totaling 754 employees, while the sample was determined using a sampling method adjusted to the research needs of 89 employees. This study uses a quantitative approach and data were collected through a questionnaire method. The data analysis method of this study is descriptive statistical analysis using the Structural Equation Model (SEM) technique using the SmartPLS 4 program analysis tool. Model testing includes convergent validity testing through outer loading and Average Variance Extracted (AVE) values, discriminant validity testing, and reliability testing through Composite Reliability and Cronbach's Alpha values. Evaluation of the structural model was carried out by looking at the R-Square value, direct effect, indirect effect, and hypothesis testing through t-statistic and p-value. Based on the results of the study, it shows that the average employee performance score of 397.2 is included in the very high category; compensation of 394.3 is included in the very high category; and job satisfaction of 399.1, categorized as very high. The results of the PLS test indicate that compensation has a positive and significant effect on employee performance; compensation has a positive and significant effect on job satisfaction; job satisfaction has a positive and significant effect on employee performance; and compensation has a positive and significant effect on employee performance through job satisfaction as an intervening variable. This research recommends: (1) For the employee performance variable, companies are advised to provide time management training and conduct regular evaluations to achieve work targets more consistently. (2) For the compensation variable, companies need to improve the suitability and availability of work facilities to support effective task implementation. (3) For the job satisfaction variable, companies are advised to improve the work environment and enhance the quality of physical facilities to increase employee comfort and satisfaction.

This study aims to analyze the influence of product quality, price perception, and promotion on purchasing decisions for Panasonic brand electronic products at the Batam Electronics Store in Pekanbaru City. This study uses a quantitative approach with a survey method, where primary data is collected by distributing questionnaires to 45 consumers who have purchased Panasonic products. The sampling technique uses a purposive sampling method. The data obtained are analyzed using a structural equation model based on Partial Least Square (PLS) to test the relationship between research variables. The results of the analysis show that product quality has a positive and significant effect on purchasing decisions, indicating that product quality and reliability are important factors in consumer considerations. In addition, promotion is also proven to have a positive and significant influence on purchasing decisions, indicating the role of promotional strategies in attracting consumer interest. Price perception also has a significant influence, which means that the suitability of price with the benefits perceived by consumers can encourage purchasing decisions. The findings of this study confirm that improving product quality, setting prices that are in accordance with consumer perceptions, and implementing effective promotional strategies can strengthen purchasing decisions. Therefore, the results of this study are expected to be a reference for business actors in formulating marketing strategies for electronic products. Keywords: Product Quality, Price Perception, Promotion, Purchasing Decisions.

Karangtalun Village, located in Kalidawir District, Tulungagung Regency, East Java, has significant potential for developing Family Medicinal Plants (TOGA) to support community-based health practices. However, the utilization of TOGA in daily health care remains limited due to a lack of knowledge and practical skills among residents. At the same time, the community faces a growing social challenge—digital exposure among young children, which negatively affects their physical, psychological, and social well-being. To address these issues, a capacity-building program was implemented for women involved in the Integrated Guidance Post (Posbindu) through training on TOGA cultivation and digital literacy education using the Community-Based Participatory Research (CBPR) approach. This participatory model actively engaged community members in the planning, implementation, and evaluation stages. The program results showed an increase in participants’ understanding of TOGA as an alternative for self-care and traditional medicine, greater awareness of the adverse effects of excessive gadget use among children, and positive behavioral changes in parenting, such as setting screen-time limits and replacing gadget use with creative family activities. These findings demonstrate that integrating local wisdom–based education with digital literacy can effectively strengthen family resilience and promote sustainable well-being in the digital era.

Karangtalun Village, located in Kalidawir District, Tulungagung Regency, East Java, has significant potential for developing Family Medicinal Plants (TOGA) to support community-based health practices. However, the utilization of TOGA in daily health care remains limited due to a lack of knowledge and practical skills among residents. At the same time, the community faces a growing social challenge—digital exposure among young children, which negatively affects their physical, psychological, and social well-being. To address these issues, a capacity-building program was implemented for women involved in the Integrated Guidance Post (Posbindu) through training on TOGA cultivation and digital literacy education using the Community-Based Participatory Research (CBPR) approach. This participatory model actively engaged community members in the planning, implementation, and evaluation stages. The program results showed an increase in participants’ understanding of TOGA as an alternative for self-care and traditional medicine, greater awareness of the adverse effects of excessive gadget use among children, and positive behavioral changes in parenting, such as setting screen-time limits and replacing gadget use with creative family activities. These findings demonstrate that integrating local wisdom–based education with digital literacy can effectively strengthen family resilience and promote sustainable well-being in the digital era.

This research originated from a concern about the existence of villages that are factually underdeveloped, but aren't recognized as 3T (Terdepan, Tertinggal, dan Terdepan) regions in the national regulatory framework. This research was conducted in Kabupaten Banyumas, which consists of 301 villages, with several villages indicated to be underdeveloped. Through the analysis of secondary data from BPS, Dinsospermades, and Bappedalitbang Banyumas, this study took 6 sample villages to analyze in order to understand the pattern of underdevelopment that is not covered by the formal 3T status. The purpose of this study is to highlight the reality of de facto remote areas that aren’t administratively recognized as 3T areas, and therefore don't have access to special funding schemes, and to examine the potential for replication of 3T area policies that can be adapted in Kabupaten Banyumas, with adjustments to local characteristics. Using a qualitative approach based on in-depth interviews with village government officials, this research mapped the needs, barriers, and opportunities for more contextualized policy interventions. This research recommends the development of a planning and budgeting model based on local needs and a social justice approach in the distribution of development resources. Thus, Banyumas can become an alternative policy laboratory to address development inequality outside the formal framework of the 3T regions.  

This study aims to analyze the effect of asset growth, capital structure, and asset structure on the profitability of PT Astra Graphia Tbk during the period 2016–2023. The research employs a quantitative approach with a causal research design using secondary data derived from the company’s quarterly financial statements. A total of 32 quarterly observations were selected through purposive sampling. Profitability is measured using Return on Equity (ROE), while data analysis is conducted using multiple linear regression. Prior to hypothesis testing, classical assumption tests including normality, multicollinearity, heteroskedasticity, and autocorrelation tests were performed to ensure the robustness of the regression model. The results indicate that asset growth, capital structure, and asset structure simultaneously have a significant effect on firm profitability. However, partially, only asset structure has a significant effect on profitability, while asset growth and capital structure show no significant influence. These findings suggest that efficient asset composition plays a more critical role in improving profitability than mere asset expansion or increased leverage. The managerial implication of this study highlights the importance of optimizing asset structure to enhance the firm’s ability to generate sustainable profits.