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The integration of artificial intelligence chatbots as virtual teaching assistants (VTAs) represents a transformative shift in student support services within higher education. This study investigates the implementation, effectiveness, and impact of AI-powered chatbots in providing academic support, administrative assistance, and personalized guidance to university students. Employing a longitudinal mixed-methods approach over 18 months, this research analyzed data from 2,347 students across 15 universities that deployed VTA systems, examining interaction patterns, student satisfaction, learning outcomes, and cost-effectiveness. Quantitative analysis of 487,392 chatbot interactions revealed that VTAs successfully handled 78.4% of student queries without human intervention, with response times averaging 3.2 seconds compared to 4.7 hours for traditional support channels. Qualitative findings from focus groups and interviews highlighted students' appreciation for 24/7 availability, immediate responses, and non-judgmental interactions, while also revealing concerns about empathy limitations, complex query handling, and the desire for human connection in critical situations. The study demonstrates that VTAs significantly improve support service accessibility and efficiency while reducing operational costs by an average of 43%. However, optimal implementation requires careful integration with human support staff, continuous training of AI systems, and attention to equity issues in digital access. This research contributes to understanding how AI can augment rather than replace human educators, offering evidence-based recommendations for implementing VTA systems that enhance student success while maintaining the human elements essential to quality education.

In the context of Indonesia's post-pandemic financial market dynamics, investment and financing decisions often face challenges of cash flow uncertainty and capital cost volatility, requiring a Profitability Index (PI) and Weighted Average Cost of Capital (WACC) perspective to ensure optimal resource allocation to maximize company value. This study aims to analyze the effectiveness of investment and financing decisions through the integration of PI and WACC based on a synthesis of the latest literature. A descriptive qualitative approach was used through a literature study with secondary data from financial journals and textbooks from 2021-2025, collected from Google Scholar and university repositories, then analyzed thematically with data reduction, presentation, and literature triangulation to interpret the PI, IRR, and WACC indicators. The results show that PI is consistently >1 (ratio of 1.15-1.45) and IRR > WACC (average of 10-12%), confirming the feasibility of 70% of manufacturing projects, while WACC of 9.8% from the optimal capital structure (debt ratio of 40-50%) supports an effective tax shield, despite being constrained by multiple IRRs, conflicting metric rankings, and BI interest rate fluctuations that increase implicit costs by up to 15%. It can be concluded that PI-WACC integration increases theoretical profitability by 12% through precise allocation, but is limited by the generalization of secondary data; a hybrid model with mixed-method validation is recommended for the non-manufacturing sector in emerging markets.

This study analyzes the economic phenomenon known as the "Purbaya Effect" in the Indonesian capital market during the second half of 2025. This phenomenon is characterized by a significant surge in the Jakarta Composite Index (IHSG), which broke the All-Time High (ATH) record 21 times within four months following the appointment of Purbaya Yudhi Sadewa as Minister of Finance. Using a mixed-methods approach combining quantitative market data analysis and qualitative policy review, this research finds that the "Purbaya Effect" is driven by aggressive liquidity injection policies (Rp 200 trillion), institutional trust built during his tenure at LPS, and strong narrative economics. However, this study also identifies significant risks related to exchange rate volatility and potential economic overheating. The findings suggest that while the "Purbaya Effect" successfully restored short-term investor confidence, long-term sustainability depends on the balance between growth acceleration and macroeconomic stability.

Rapid This study examines the effectiveness of environmental legal instruments in addressing water access inequalities in multicultural rural communities. Despite the existence of various legal frameworks, disparities in water access remain prevalent, especially in rural areas where socio economic, cultural, and governance challenges persist. Legal instruments such as the Water Framework Directive (WFD) and the Clean Water Act (CWA) have proven effective in improving water quality and access in urban settings, but their impact in rural communities is often limited. The study explores the role of legal pluralism, where both statutory and customary laws coexist, in enhancing water governance. It also evaluates the importance of integrating cultural sensitivity into legal frameworks to foster community participation and sustainable water management. Through a mixed methods approach combining legal analysis and socio economic assessments, this study provides insights into the barriers to effective water governance and proposes policy recommendations for improving water access. Key findings suggest that inclusive governance models, which respect local customs and empower communities, lead to more sustainable and equitable water management outcomes. The study highlights the need for legal reforms that recognize the diverse cultural, governance, and infrastructural contexts of rural communities, ensuring that water access policies are both culturally adaptive and legally effective. By integrating these approaches, future policies can more effectively tackle water access inequalities in multicultural rural settings.  

Effective communication is a key competency for medical professionals, but traditional classroom-based methods in Indonesia face challenges such as limited practice, geographical barriers, and insufficient exposure to diverse patient scenarios. Mobile-assisted learning (MAL) offers a promising solution to enhance medical communication training outside traditional settings. This study investigates the effectiveness of MAL interventions in developing communication skills among Indonesian medical students and healthcare professionals. A mixed-methods approach was used, involving a quasi-experimental design with pre- and post-assessments of communication competence among 180 participants from three Indonesian medical schools. The MAL intervention included a mobile app with video demonstrations, interactive case scenarios, peer feedback, and microlearning modules. Quantitative data showed a significant improvement in communication competence (mean increase of 23.4%, p<0.001), with notable gains in information gathering (28%), relationship building (26%), and patient education (21%). The mobile platform saw high engagement (average of 4.3 sessions/week) and 87% module completion. Qualitative data revealed increased confidence in consultations, improved cultural sensitivity, and better time management. Challenges included inconsistent internet access, varying digital literacy, and resistance from traditional educators. MAL shows potential for improving medical communication in Indonesia, offering flexible, accessible training. Successful implementation requires addressing infrastructure issues, integrating MAL into existing curricula, and training faculty. This study adds to the growing evidence supporting technology-enhanced medical education in resource-limited settings.

The emergence of ChatGPT and other large language models has introduced unprecedented opportunities and challenges in educational settings. This study examines the dual nature of ChatGPT's integration into classroom environments, analyzing both its potential as an educational tool and the ethical concerns it raises regarding academic integrity. Through a mixed-methods approach combining surveys, interviews, and content analysis, this research investigates how educators and students perceive and utilize ChatGPT, the implications for learning outcomes, and the effectiveness of current academic integrity policies. Results indicate that while ChatGPT offers significant pedagogical benefits including personalized learning support and enhanced accessibility, it simultaneously poses risks to traditional assessment methods and raises questions about authorship and original thought. The study proposes a framework for responsible AI integration in education that balances innovation with academic integrity, emphasizing the need for updated policies, enhanced digital literacy, and redesigned assessment strategies. These findings contribute to the ongoing discourse on AI in education and provide practical recommendations for educators, administrators, and policymakers navigating this transformative technology.

This research explores the development of a participatory governance model for community based waste management systems, aiming to enhance both legal compliance and public social welfare outcomes. Community based waste management (CBWM) plays a critical role in addressing environmental and health challenges, yet its success is often hindered by weak governance structures, limited community involvement, and insufficient regulatory frameworks. The study introduces a governance model that integrates local community participation into decision making processes, encouraging ownership and responsibility among residents. The primary goal is to improve compliance with environmental regulations while promoting social welfare by fostering better public health and community cohesion. A review of literature highlights key theories of participatory governance, focusing on its ability to enhance legal adherence and increase social equity. Previous studies on CBWM demonstrate the potential of community involvement in overcoming barriers to legal compliance, such as weak enforcement and fragmented governance. However, challenges like inadequate infrastructure, socio economic factors, and cultural habits still impede full participation and compliance. The study utilizes a mixed methods approach, including stakeholder analysis, participatory workshops, and regulatory compliance assessments, to evaluate the effectiveness of the model. The results show that communities involved in participatory governance exhibit higher compliance with waste management laws, improved sanitation, and healthier living conditions. Furthermore, the model fosters social capital and community empowerment, contributing to long term sustainability. In comparison to centralized waste management systems, the participatory approach is found to be more adaptable, accountable, and socially accepted. While the model presents several benefits, challenges such as infrastructure limitations and cultural barriers remain. Future research should further investigate how to address these challenges, particularly through technological integration and cross sector collaborations, to ensure the scalability and sustainability of the participatory governance model.

The Presbyterian-Synodal system of church government is based on the ideal theological foundation of Christocracy, the confession that Christ is the sole Head of the Church who rules directly through His Word and Spirit. Theoretically, this model rejects hierarchy, affirms the parity of all ecclesiastical officers (ministers, elders, deacons) as servants, and views the local church council as a complete church (ecclesia completa). However, in historical and contemporary practice, a fundamental tension exists whereby this system consistently deviates into hierarchical and clerical practices. This deviation manifests as a hierarchy of office (clericalism) and a hierarchy of assemblies (Synod-centrism), where authority shifts from Christ to official figures and Synodal structures that are viewed as the "highest court." This article aims to analyze the fundamental causes of this authority shift. Using a qualitative library research method, the author conducts a systematic-theological, historical-critical, and comparative analysis of the works of Reformers (especially Calvin), historical church order documents, and contemporary case studies (such as in Malawi and GMIM). This study concludes that this authority shift stems from two primary factors: First, a "theological deficiency" in many church order documents, which fail to affirm Christ's rule "through His Word and Spirit," stating instead only His rule "through the ministry of officials," thus effectively equating official authority with Christ's authority. Second, the historical legacy of Scottish "national covenant" ecclesiology, which was historically intentionally designed with a centralized authority structure for "godly officials" to "rule over" a mixed populace. The author recommends that churches in this tradition revise their church orders to explicitly re-assert the supremacy of Christ's rule through His Word and Spirit over any human official or synodical authority.

This study explores the integration of Science, Technology, and the Arts (IPTEKS) within an educational psychology framework to support the development of creativity, innovation, and collaboration among prospective Christian religious education teachers in West Java. Using a mixed-methods approach with a sequential explanatory design, the research combines quantitative and qualitative perspectives to obtain a comprehensive understanding of the phenomenon. Quantitative data were gathered through questionnaires distributed to prospective teachers, while qualitative data were obtained through in-depth interviews and participatory observations involving selected informants. The findings indicate that meaningful integration of IPTEKS contributes positively to the development of creative thinking, innovative teaching practices, and collaborative learning skills. Qualitative insights further reveal that institutional support, continuous professional development, and contextualized learning environments play a crucial role in optimizing the impact of IPTEKS integration. The study highlights the importance of aligning technological integration with psychological and pedagogical principles. It concludes that teacher education programs need to redesign curricula and training models that holistically integrate IPTEKS and educational psychology to foster relevant, transformative, and value-based learning in Christian education contexts.

This study examines the role of digital church music as a medium for evangelism and discipleship within the digital ecosystem. It employs a mixed methods approach using a sequential explanatory design, in which quantitative data collection is followed by qualitative exploration. Quantitative data were gathered through an online survey of at least 200 respondents to measure the intensity of digital worship music consumption, perceived gospel understanding, faith reflection, and spiritual engagement. Qualitative data were obtained through in-depth interviews with 15–20 key informants and digital content analysis of worship songs, service videos, and social media interactions. The findings indicate that digital church music contributes to strengthening gospel understanding, encouraging faith reflection, and expanding discipleship practices through online spaces. A moderate positive correlation between music consumption intensity and spiritual engagement suggests that music functions as a contextual medium for faith formation. This study highlights the importance of adaptive theological and pastoral strategies for church music ministry in the digital era.

This study examines students’ perceptions of the use of online platforms for English listening practice. The research employs a mixed-methods approach involving 150 undergraduate students through questionnaires and semi-structured interviews. The findings indicate that the majority of students hold positive attitudes toward the use of online platforms, primarily due to time flexibility, diverse content, and the ability to learn independently. Nevertheless, several challenges were identified, including internet connectivity issues that disrupt the learning experience, a lack of personalized feedback, and difficulties in maintaining learning motivation. Features such as adjustable playback speed, the availability of transcripts, and interactive exercises received high levels of satisfaction. Overall, the study concludes that although online platforms have great potential to enhance English listening skills, their effectiveness largely depends on proper implementation, adequate technical infrastructure, and active support from educators. Therefore, this study recommends improvements in technical aspects and the development of more effective learning methods to achieve more optimal outcomes.

This study aims to determine and analyze service waiting times, identify the root causes of long queues, and develop a strategy to improve service performance at the 5361137-gas station (SPBU) at the Surabaya-Gresik Toll Rest Area. The research method used is a mixed-methods approach with an exploratory sequential design. This study combines quantitative analysis using Queuing Theory to measure system performance (arrival rates and service times) and descriptive qualitative analysis using a Fishbone Diagram. Data were collected through direct observation, interviews, and g-form techniques. The results indicate that the current queuing system performance is in a critical or severe condition, indicated by a server utilization rate of 0.94 to 1.02 during peak hours. The average time spent by vehicles in the system is 14.3 minutes, of which 9.6 minutes (67%) is spent waiting in the queue. Fishbone diagram analysis revealed that the root cause of the main problem lies in the complex interaction of factors: Machine factors (EDC signal failure and pump repair downtime), Human and Method factors (implementation of static shifts and reactive maintenance), and Environmental factors (narrow layouts that hinder large vehicle maneuvers). As a solution, this study formulated a hybrid improvement strategy that includes short-term business process engineering (the use of Floating Staff and lane segregation) and long-term investment in additional pumps to change the queuing model from Single Channel to Dual Channel. This strategy is expected to reduce the utility level to a safe zone below 0.80 with a target waiting time of 3–5 minutes.

This study aims to map the intellectual structure and research trends in entrepreneurial innovation using bibliometric analysis based on Scopus data. A total of 891 documents published between 1972-2025 were analyzed through Bibliometrix and Biblioshiny, employing techniques such as bibliographic coupling, co-authorship, and thematic mapping. The results reveal four major clusters: (1) innovation theory and entrepreneurial development, (2) business model innovation and digital transformation, (3) regional innovation systems and policy frameworks, and (4) sustainability and green entrepreneurship. Emerging themes include artificial intelligence (AI), generative AI applications, and digital entrepreneurship education, indicating a shift toward multi-level and interdisciplinary integration. Influential documents and authors were identified, highlighting their role in shaping the knowledge base. The findings suggest that entrepreneurial innovation research is evolving toward digitalization, sustainability, and policy-driven ecosystems, offering opportunities for longitudinal and mixed-method studies. This study contributes by providing a comprehensive overview of the field, identifying gaps, and proposing future research directions to strengthen theoretical and practical advancements.

Islamic character education faces dual challenges: declining moral values among students and conventional teaching methods inadequate for developing higher-order thinking skills. This study examines the implementation of a smart learning environment (SLE) model to enhance metacognitive understanding in Aqidah Akhlak (Islamic Creed and Ethics) instruction among eighth-grade students at MTs Salafiyah Merakurak. Employing a mixed-methods action research design, involved 16 eighth-grade students divided into two groups. Data collection utilized classroom observations, semi-structured interviews, and learning documentation. The SLE model integrated Google Classroom, interactive video content, WhatsApp Group discussions, and Google Forms assessments to create a technology-enhanced learning ecosystem. Findings revealed substantial improvements in students' metacognitive capacities: planning skills increased from 25% to 75%, monitoring abilities rose from 31% to 81%, and evaluation competencies grew from 19% to 69%. Students demonstrated enhanced learning autonomy, active participation in collaborative discussions, and improved self-reflection on content comprehension. The SLE approach successfully fostered engaging learning experiences while facilitating deeper internalization of Islamic ethical values. However, implementation encountered constraints including limited technological infrastructure and varied digital literacy levels among students. This research underscores the critical need for developing teachers' digital competencies and strengthening madrasah technological infrastructure to optimize technology-integrated Islamic education.

The hospitality sector faces major challenges, including fierce competition, low occupancy rates, and high operating costs, especially post-COVID-19 pandemic. This article examines how adaptation strategies, particularly through digital investments, affect customer satisfaction and hotel occupancy rates. This study uses a mixed method approach, combining quantitative and qualitative methods. Qualitative data was collected through in-depth interviews with managers, staff, and guests at five hotels in Semarang, Indonesia, to identify key factors for successful adaptation. Qualitative data are analyzed using MAXQDA software. Quantitative data were analyzed by multiple regression. The results show that investment priorities are a key driver of successful adaptation, although supporting factors such as improved facilities, quality of service, and the involvement of all personnel. Quantitative findings show that hotel adaptation strategies significantly affect customer satisfaction (influence of 47.10%) and occupancy rate (influence of 38.40%). Digitalization enhances operational efficiency, allowing staff to focus on personal interactions. Technologies like AI-based recommendations and mobile check-in directly improve the overall guest experience, correlating with loyalty. The conclusion of the study is that strategic digital investments, improved service quality and active staff engagement, are key to improving customer satisfaction, optimizing occupancy rates, ultimately, driving hotel revenue growth in the post-pandemic era.

Abstract: The rapid diffusion of Generative Artificial Intelligence (AI) has intensified public debate regarding its benefits, risks, and societal implications. This study investigates public sentiment and thematic structures surrounding Generative AI by analyzing Twitter discourse as a representation of large-scale, real-time public perception. The research addresses two main problems: how public sentiment toward Generative AI is distributed and what dominant themes shape this perception. Accordingly, the objective is to map both emotional polarity and thematic narratives embedded in social media conversations. A computational mixed-methods approach was employed using a dataset of 12,470 tweets collected on 17 December 2024. Sentiment classification was conducted using a transformer-based DistilBERT model, while semantic representations were generated with Sentence-BERT. Topic modeling was performed using BERTopic, integrating HDBSCAN clustering and class-based TF-IDF to extract coherent and interpretable topics. Human-in-the-loop validation supported the interpretive robustness of topic labeling. The findings reveal that public sentiment toward Generative AI is predominantly positive (41.8%), particularly in relation to productivity enhancement, education, and creative applications. Neutral sentiment (31.4%) reflects informational discourse, while negative sentiment (26.8%) centers on ethical concerns, privacy risks, misinformation, and AI hallucinations. Seven dominant topics were identified, with clear topic–sentiment alignment showing optimism in utility-driven themes and skepticism in ethics- and risk-related discussions. In conclusion, public perception of Generative AI is dualistic—characterized by strong enthusiasm alongside persistent caution. These results provide empirical insights for AI governance, responsible innovation, and future research on socio-technical impacts of Generative AI. *    

The intersection between digital transformation and the halal economy has created new pathways for sustainable global development. This study explores how the Halal Digital Ecosystem (HDE)—an integrated network of producers, certifiers, regulators, and consumers—contributes to sustainable growth by aligning digital innovation with Islamic ethical principles. Employing a mixed-method explanatory sequential design, the research combines quantitative analysis using Structural Equation Modeling–Partial Least Squares (SEM–PLS) with qualitative interviews involving policymakers, halal entrepreneurs, and certification authorities from Indonesia, Malaysia, and GCC countries. The findings reveal that digital infrastructure readiness and certification transparency significantly influence sustainable growth, while innovation capability acts as a mediating factor that strengthens the relationship between digitalization and sustainability outcomes. Qualitative insights highlight persistent challenges, including fragmented cross-border governance, limited digital literacy among halal SMEs, and the absence of harmonized certification standards. These barriers indicate that achieving sustainability requires not only technological advancement but also ethical and institutional alignment based on maqāṣid al-sharī‘ah. The study introduces the Halal Digital Ecosystem–Sustainability (HDE–S) Framework, providing both theoretical and practical contributions to the literature on sustainable digital economies. Policy implications emphasize the need for integrated halal digital governance, capacity building, and regional collaboration to enhance competitiveness, inclusivity, and ethical compliance in the global halal market.

The purpose of this study was to evaluate the application of the Deep Learning approach in teaching mathematics in the first grade of addition and subtraction of numbers 1 to 20 in a story problem through the concrete media Si PONPEL and the educational game Quizizz Paper Mode. This technology-based learning is intended to make learning more interactive and enjoyable, but does not require personal digital devices. Qualitative and quantitative data were collected through a mixed-method research design to measure student understanding the result show that the Si PONPEL and Quizizz Paper Mode methods successfully improved students’ understanding of basic mathematical concepts, with an average increase in student scores of 38.33%. In addition, findings from interviews conducted with teachers and students showed that the Si PONPEL concrete media and this technology made students more engaged and motivated to learn. It is hoped that this research will make a significant contribution to creating more inclusive and interactive mathematics kearning in elementary schools.

This systematic literature review examines research trends in problem-based learning (PBL) within blended learning contexts by analyzing 64 peer-reviewed articles from Scopus database published between2020-2024. Using PRISMA methodology, this study identifies key patterns including the dominance of medical education contexts (71.9%), the significant impact of COVID-19 pandemic on pedagogical innovations, and the prevalence of experimental research designs (34.4%). Findings reveal that blended learning emerged as the most researched approach (61%), followed by online/distance learning (23%) and flipped classroom models (11%). The analysis indicates increasing publication trends in 2022 and 2024, with Education Sciences and BMC Medical Education as leading publication venues. This review highlights research gaps in engineering and technology education contexts, limited exploration of long-term learning outcomes, and insufficient mixed-methods studies. These findings provide valuable insights for educators, researchers, and policymakers in designing effective learning strategies that integrate problem-based and blended learning approaches in diverse educational settings.

Social assistance programs are often a major concern during local elections. However, their impact on voter support for incumbents remains underexplored. This study analyzes how perceptions of social assistance influence voting behavior for incumbents in the 2024 Palangka Raya mayoral election. Using a sequential explanatory mixed methods design, the quantitative stage was conducted through a survey of 370 social assistance recipients and analyzed using PLS-SEM. The qualitative stage used 13 official documents and verified news reports to examine how social assistance was framed in the public sphere. The results show that perceptions of social assistance are the strongest predictor of the tendency to vote for incumbents, whereas political competition, demographic factors, and moderating effects are not significant. Qualitative analysis shows that social assistance issues are the most frequently mentioned theme in news reports and official documents, thereby reinforcing their relevance as a basis for evaluation by the beneficiaries. This study shows that voters tend to respond to the benefits of policies they perceive in determining their electoral choices, even within a public sphere that frequently raises issues of program politicization.