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This quasi-experimental study examines the effectiveness of Artificial Intelligence (AI)-assisted learning in enhancing critical thinking skills among undergraduate history students. The study involved 60 students divided into experimental and control groups. The experimental group received AI-supported instruction integrating adaptive learning modules, scaffolded source-analysis prompts, and guided argumentative discussions facilitated by conversational AI tools, while the control group followed conventional lecture-based instruction. Data were collected using a validated critical thinking test, classroom observation protocols, and semi-structured interviews. Quantitative data were analyzed using paired and independent sample t-tests, while qualitative data were examined through Miles and Huberman’s interactive analysis model. Results indicate statistically significant improvements in critical thinking scores in the experimental group compared to the control group. Thematic findings reveal enhanced sourcing, contextualization, corroboration, and evidence-based argumentation skills. However, minor risks of over-reliance on AI highlight the need for instructional scaffolding and ethical guidance. The findings suggest that AI can function as a cognitive scaffold that strengthens historical thinking and metacognitive awareness when implemented within a structured pedagogical framework.

The rapid development of modern manufacturing technology has driven the emergence of human-robot collaboration (HRC) as part of the transformation toward a human-centric intelligent production system. In collaborative work environments, robots are not only required to work efficiently but also to interact safely and responsively with operators. However, most conventional industrial robot systems still use rigid motion controls and are unable to dynamically adapt to human activity around them.This research aims to develop a human-robot collaboration system by integrating computer vision technology to detect operator movement and applying adaptive control algorithms to the robot manipulator. The research methodology includes designing a collaborative workstation, implementing a computer vision-based motion detection system, developing an adaptive control algorithm, and evaluating system performance through various experimental scenarios. Evaluation parameters include task completion time, safe distance, and system response time.The results show that the developed system significantly improves the efficiency and safety of human-robot interaction compared to conventional systems, with shorter task times, optimal safe distances, and faster system response to operator movements.

Background: In the domain of corporate governance, the separation of ownership and control generates significant agency conflicts, primarily manifesting as Earnings Management (EM). Traditional reactive auditing methods fail to detect manipulation concealed within unstructured data, leading to high agency costs and diminished stakeholder trust. Objective: This study proposes an "AI Proactive Monitoring Model" utilizing Generative Artificial Intelligence to fundamentally enhance the monitoring mechanisms of Agency Theory. Methods: The research employs a qualitative conceptual framework analysis. It synthesizes Agency Theory with the Technology Acceptance Model (TAM) and Systemic Risk Theory to construct a novel strategic governance model. Results: The proposed model shifts governance from periodic sampling to real-time, continuous analysis of total data populations. By cross-referencing structured financial data with unstructured communications (e.g., emails, contracts), the system generates "Risk Narratives" that contextualize anomalies and flag opportunistic behavior immediately. Conclusion: The integration of AI significantly reduces information asymmetry and moral hazard by creating a "panopticon" effect. However, successful implementation requires distinct regulatory frameworks to manage the systemic risks associated with algorithmic reliance.

Early English mastery is a long-term educational investment that should be supported by instructional approaches aligned with children’s developmental characteristics. This community service program aimed to systematically implement the *English Through Play* approach, enhance English learning interest, and create positive learning experiences for children aged 4–6 years at Samantha English Course. The program was conducted participatorily through preparation, implementation, and evaluation stages over eight weeks. The *English Through Play* approach was applied through various activities, including action songs, flashcard games, storytelling with gestures, and simple role play. Evaluation was carried out descriptively through observation of participation, verbal responses, children’s expressions, and simple oral tests to measure basic vocabulary mastery. The results showed that more than 80% of the children were actively engaged during the learning sessions. Approximately 70–85% demonstrated increased learning interest, as reflected in their enthusiasm, verbal participation, and positive responses to English instructions. In addition, most children were able to recognize and pronounce 5–10 basic vocabulary items based on the learning themes and perform simple self-introductions. The program also produced a play-based learning guide that can be sustainably implemented by the partner institution. In conclusion, the *English Through Play* approach proved effective in enhancing young learners’ interest and participation in early English learning. This model can serve as a practical and replicable alternative for similar non-formal educational institutions.

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.

This study aims to analyze the factors influencing Wizzmie customer purchasing decision model in Semarang City: shopping experience involvement as a mediating variable. This study is a type of quantitative research with primary data sources in the form of questionnaires. The sampling method in this study uses the Hair formula which obtained 140 research samples. The analyzed data used in this study is the Structural Equation Model (SEM) with Smart PLS 3.0 software. The results of this study state that store atmosphere and shopping experience have a positive and significant effect on purchasing decisions. Conversely, brand image, social media marketing, and service quality do not have a significant direct effect on purchasing decisions. However, shopping experience is proven to be able to mediate the influence of store atmosphere, social media marketing, and service quality on purchasing decisions. Thus, although not all variables have a direct effect on purchasing decisions, some of them can indirectly influence through shopping experience as a mediating variable.

Science learning at the Islamic junior high school level still faces challenges in improving student learning outcomes because the learning process tends to be teacher-centered and lacks active student involvement. This condition requires the implementation of a learning model that can encourage cooperation, responsibility, and student involvement in the learning process. This study aims to determine the effect of the Jigsaw cooperative learning model on the science learning outcomes of students at MTs Raudhatul Faizin. This study uses a quantitative approach with a correlational design. The research subjects consisted of 30 students who were used as the research sample. Data were collected through a four-point Likert scale closed questionnaire to measure the implementation of the Jigsaw cooperative learning model and students' science learning outcomes. Data were analyzed using simple linear regression analysis techniques. The results showed that the Jigsaw cooperative learning model had a significant effect on students' science learning outcomes. This finding indicates that the better the implementation of the Jigsaw cooperative learning model, the better the students' science learning outcomes. The implications of this study emphasize the importance of implementing the Jigsaw cooperative learning model as an alternative effective learning strategy to improve the quality of science learning in Islamic junior high schools.

This study aims to analyze the influence of visionary leadership on employee performance with work discipline as an intervening variable at Perumda Tirta Mayang Kota Jambi. The background of this research is based on the suboptimal employee performance, as indicated by several work targets that have not been achieved, as well as the low level of employee work discipline. In addition, preliminary observations show that the implementation of visionary leadership within the organization has not been fully optimal. This research employs a quantitative approach. The population consists of 72 employees of Perumda Tirta Mayang Kota Jambi, all of whom were taken as the research sample. Data were collected using questionnaires measured on a Likert scale to assess the variables of visionary leadership, work discipline, and employee performance. Data analysis was conducted using Structural Equation Modeling (SEM) based on Partial Least Squares (PLS) through the SmartPLS application, including outer model testing, inner model testing, and hypothesis testing. The results show that: (1) visionary leadership has a positive and significant effect on employee performance; (2) visionary leadership has a positive and significant effect on employee work discipline; (3) work discipline has a positive and significant effect on employee performance; and (4) work discipline significantly mediates the effect of visionary leadership on employee performance. These findings indicate that visionary leadership not only directly contributes to enhancing employee performance but also indirectly influences it through improved work discipline.

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.

The Community Service Program (Kuliah Kerja Nyata / KKN) of Universitas Muhammadiyah Tangerang (UMT) in Sukadiri Village, Tangerang Regency, was implemented with the aim of empowering the community through strengthening tourism-based MSMEs and raising environmental awareness. This program employed a participatory qualitative descriptive approach, in which students acted as facilitators in assisting the community. The main focus included sustainable tourism literacy, MSME digitalization, waste segregation management, and community literacy improvement. Key activities carried out consisted of designing logos and digital branding for MSMEs, conducting ecoprinting training utilizing local flora, delivering legal counseling on bullying within the scope of the Electronic Information and Transactions Law (ITE), creating educational boards and segregated waste bins, establishing a reading corner, and supporting food security through corn planting. The results indicated increased community awareness of environmental management, improved skills of MSME actors in utilizing digital technology, and the growth of literacy culture among children and youth. In addition to providing tangible benefits for the community, this program also enriched students’ experiences in applying their academic knowledge directly in the field. Therefore, the KKN in Sukadiri Village not only contributed to sustainable village development but also served as a best practice model that could be replicated in other regions.

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..

The increasing volume of online hotel reviews provides valuable insights into customer perceptions but poses challenges for manual analysis due to its unstructured nature. This study aims to compare the performance of Recurrent Neural Network (RNN) and Bidirectional Encoder Representations from Transformers (BERT) in hotel review sentiment analysis. A total of 20,491 TripAdvisor hotel reviews were classified into three sentiment categories: negative, neutral, and positive. The research methodology includes text preprocessing, stratified data splitting, class imbalance handling using Random Over-Sampling, tokenization, and supervised model training. Model performance was evaluated using a confusion matrix and classification metrics. The results indicate that BERT outperforms RNN, achieving an accuracy of 80.54%, while RNN reached 62.21%. BERT demonstrated superior capability in capturing contextual and semantic information in hotel reviews. These findings suggest that transformer-based models are more effective for sentiment analysis of complex textual data in the hospitality domain and can support data-driven service improvement strategies.    

This study focuses on analyzing the welfare index in the ASEAN region (covering six major countries) by comparing two perspectives: objective welfare (Human Development Index/HDI) and subjective welfare (World Happiness Index). Using a balanced panel dataset from 2015–2023, the research applies different econometric approaches for each model, namely the Random Effect Model (REM) for HDI analysis and the Common Effect Model (CEM) for happiness analysis. Empirical findings indicate a striking welfare paradox across the six sample countries. In the objective dimension (HDI), economic stability (GDP) and governance free from corruption (CPI) are proven to be the main positive and significant drivers, while government expenditure (GovExp) shows no meaningful impact, suggesting budget inefficiency. Conversely, in the subjective welfare model, the Easterlin Paradox emerges, as GDP and the corruption index have no significant effect on the happiness index. The happiness levels in these six countries tend to be more influenced by government expenditure. This study concludes that strong economic fundamentals and clean governance free from corruption are essential to building a high quality of human life, whereas citizens’ life satisfaction is more determined by the direct presence of the state through public spending.

This study aims to analyze the influence of promotion, shopping convenience, advertising, recommendation, comment, and credibility factors on purchase intensity in the TikTok Shop platform among Indonesian households. The rapid development of social commerce services requires a deep understanding of factors driving online purchasing decisions, especially among families as primary users. A quantitative approach was employed, utilizing a Likert-scale questionnaire distributed online. The sample consisted of 150 active TikTok Shop users from various household backgrounds. Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS was used to analyze the direct effects of each factor on purchase intensity. The results indicate that promotion, shopping convenience, and credibility significantly and positively influence purchase intensity, while advertising, recommendation, and comment have relatively weaker yet still relevant effects. These findings underscore the importance of effective promotional strategies, ease-of-shopping enhancements, and building platform credibility to boost purchase intensity within the household consumer segment. The practical implications can guide e-commerce practitioners and digital marketers in formulating adaptive marketing strategies in the era of social commerce.

This study aims to analyze the influence of Corporate Image and Service Quality through Customer Satisfaction on Customer Loyalty at Semen Indonesia distributors in Gresik using the Structural Equation Modeling (SEM) approach. The study population consisted of 102 customers, all of whom were sampled. The results indicate that Corporate Image and Service Quality have a significant influence on Customer Satisfaction. Both variables were also shown to have a significant influence on Customer Loyalty. However, unlike several previous research findings, Customer Satisfaction did not have a significant influence on Customer Loyalty. This finding indicates that in the context of the cement distribution business, customer loyalty is not formed solely from satisfaction, but is more influenced by other factors such as consistent service quality, a strong corporate image, competitive pricing, and long-term business relationships. This study emphasizes the importance of strengthening image and improving service quality as key strategies for maintaining customer loyalty.

This study develops an interpretable machine learning model to predict the settlement status of Hajj fees in Jambi Province, Indonesia. Utilizing the XGBoost algorithm on a dataset of 4,332 prospective pilgrims from 2025, the research addresses the critical challenge of class imbalance where only 28.5% of samples are labeled "Unsettled". The baseline XGBoost model achieved a ROC-AUC of 0.7778, with a recall of 0.3482 for the minority class. SHAP (SHapley Additive exPlanations) analysis was employed to interpret model predictions, revealing that financial features specifically NILAI_VA (Virtual Account Value), JML_SETORAN (Deposit Amount), and JML_PELUNASAN (Settlement Amount) are the most significant factors influencing repayment risk, with negative SHAP values indicating increased default probability. The findings demonstrate that an interpretable XGBoost framework can provide both predictive accuracy and actionable insights for policymakers, enabling targeted interventions such as flexible payment schemes and enhanced financial monitoring for high-risk pilgrims..

This study aims to compare the effectiveness of QRIS with other cashless payment methods in driving the development of the digital economy in Indonesia. The background to this study stems from the increasing use of digital transactions and the strategic role of QRIS as a national standard for QR-based payments. Google Forms was used to disseminate the survey online and successfully collected 100 respondents who were users of cashless digital payment services. A purposive sampling technique was used to ensure that respondents had experience using QRIS and other digital payment methods. Data were examined using the SmartPLS 4 program using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach to test the relationships between variables. The results indicate that perceived ease of use, transaction security, and influence on digital behavior have a positive or significant influence on QRIS effectiveness. However, availability and accessibility variables did not have a significant effect. This finding indicates that QRIS effectiveness is more influenced by user experience and perceptions, rather than availability or ease of access. This research is expected to contribute to the development of strategies to increase digital payment adoption in Indonesia.

The increasing social and cultural diversity of contemporary societies has positioned schools as strategic spaces for nurturing inclusive attitudes and managing the challenges of pluralism. Many schools still face obstacles such as limited teacher readiness, inadequate curriculum representation of diversity, and school cultures that are not fully supportive of inclusive practices. This study aims to analyze school strategies in fostering students’ inclusive dispositions in response to pluralistic challenges. The research employed a descriptive qualitative approach through library research, using purposive sampling to select relevant scientific literature. Data were analyzed using an interactive model that involved data reduction, data display, and conclusion drawing. The findings indicate that participatory learning strategies, the application of Universal Design for Learning, and project-based learning are effective in strengthening students’ inclusive attitudes, empathy, and tolerance. The role of teachers as role models, the development of inclusive school culture, and active community involvement were identified as key supporting factors for successful inclusive education. The implications of this study highlight the importance of synergy between teacher professional development, curriculum adaptation, and school policy reinforcement to establish equitable, inclusive, and sustainable educational practices in pluralistic contexts.

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.

This study aims to examine the influence of work environment, work motivation, and job training on employee performance, with work discipline as an intervening variable at PT. Telkom Akses Semarang. The population of this research consists of 400 employees of PT. Telkom Akses Semarang, which is a prominent company in the telecommunications sector. The sampling technique used was purposive sampling, and the sample size of 100 employees was determined using the Slovin formula to ensure a representative sample. Data were collected through questionnaires distributed randomly to the selected respondents to gather comprehensive and reliable information. This study employed a quantitative analysis approach, utilizing Smart PLS as the analytical tool, covering the outer model, inner model, and hypothesis testing to assess the relationships between the variables. The findings indicate that the work environment, work motivation, and job training significantly affect employee performance at PT. Telkom Akses Semarang. Furthermore, the use of work discipline as an intervening variable also mediates the influence of work environment, work motivation, and job training on employee performance, suggesting that work discipline plays a crucial role in enhancing overall employee productivity and organizational success.