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This study seeks to investigate a consumer behavior model by evaluating the impact of interactive technology-driven digital innovation and perceived value on digital engagement, with customer behavior serving as a mediating variable within the retail sector in Jambi Province. A quantitative research design utilized a survey method with 150 retail consumers as participants. We used Structural Equation Modeling–Partial Least Squares (SEM-PLS) to look at both the measurement and structural models. The findings of the measurement model show that all indicators match the requirements for convergent validity. The outer loading values are all over 0.70, which means that the construct is reliable and valid. The evaluation of the structural model indicates that perceived value exerts a positive and significant influence on both consumer behavior and digital engagement. Also, how people act as consumers has a big effect on how they contact with and participate in digital media. This means that people who think retail services are more valuable are more likely to interact with and participate in digital media. Nevertheless, interactive technology-driven digital innovation does not exhibit a substantial direct impact on customer behavior or digital engagement. These findings suggest that value perception is more influential than technology innovation in determining consumer responses inside digital retail environments. This research enhances the body of knowledge regarding consumer behavior and digital marketing by highlighting the strategic significance of perceived value in augmenting consumer involvement within digital retail contexts.

This study analyzes the process of construction and resistance to the double burden experienced by the character Kaluna in the film Home Sweet Loan (2024) through the perspective of Judith Butler's gender performativity. Using qualitative content analysis on 13 key scenes, it was found that Kaluna's double burden of office work and bearing the economic and domestic responsibilities of an extended family was constructed through stylized repetition of acts. The results show that Kaluna experiences a double burden of professional and domestic work shaped by social norms and family expectations. However, the film also depicts Kaluna's resistance to this construction through verbal and emotional actions and personal decisions that challenge the patriarchal structure. This study concludes that Home Sweet Loan not only represents the double burden of modern women, but also shows women's agency in resisting and negotiating their gender identity. These actions deconstruct oppressive gender identities and form a new, independent subjectivity. The film emphasizes that the double burden of women is not a natural law, but rather a social performance that can be resisted.

Creative writing plays an important role in developing students’ imagination, self- expression, and language competence in the digital era. However, many learners still struggle with generating ideas, maintaining motivation, and gaining confidence in writing. This study aims to analyze how the use of Wattpad, viewed through the Social Constructivist framework, can enhance students’ creative writing skills, motivation, and confidence. This research applies a qualitative descriptive approach supported by survey data from 30 high school students who actively use Wattpad. The results show that 95.7% of respondents have used Wattpad before, with most of them using it to read and learn from other writers. A total of 60.9% of respondents stated that reading other writers’ works was the most helpful for improving their writing, while 17.4% highlighted peer comments and feedback as additional support. Despite its benefits, 43.5% of students mentioned difficulty in organizing ideas as their main challenge. Open-ended responses revealed that positive feedback and community interaction on Wattpad helped increase students’ motivation and confidence in writing. The discussion emphasizes that the social interaction and feedback features of Wattpad foster collaborative learning, aligning with Vygotsky’s concepts of scaffolding and the Zone of Proximal Development. These findings suggest that integrating Wattpad into writing instruction can effectively enhance students’ creativity, critical thinking, and confidence in producing literary works.

Interoperability has become a critical enabler of integrated service delivery in contemporary digital government. However, despite significant technological investments, many governments continue to experience fragmented service systems and limited public value outcomes. This study examines how institutional design shapes interoperability capacity and how interoperability contributes to public value creation within digital government frameworks. Employing a qualitative explanatory case study approach, data were collected through semi-structured interviews, document analysis, and institutional observations. The findings reveal that interoperability is not solely a technical function but an institutional capability embedded in governance structures, regulatory frameworks, data standards, and coordination mechanisms. While technical data exchange mechanisms exist, institutional fragmentation, regulatory ambiguity, and limited cross-agency collaboration constrain seamless integration. The study demonstrates that institutional design mediates the relationship between interoperability and public value creation by influencing the effectiveness of integrated service delivery. Public value gains are evident in operational efficiency and accessibility; however, improvements in legitimacy, trust, and service coherence remain incremental where institutional alignment is weak. The research contributes to digital governance literature by conceptualizing interoperability as an institutional construct and highlighting the necessity of governance reform for sustainable public value generation. The findings suggest that governments must prioritize institutional coherence, standardized data governance, and collaborative coordination frameworks to fully realize the transformative potential of digital government.

This community service program aims to optimize construction project planning through assistance in preparing a business feasibility study at PT Sahabat Anugrah Sejati. The construction sector is a strategic industry that requires effective resource management, proper risk mitigation, and accurate planning to ensure project success. Therefore, the program supported the partner in analyzing financial, managerial, market, and economic aspects prior to making investment decisions for the proposed project. The results show that the project is feasible based on the Net Present Value (NPV) and Internal Rate of Return (IRR) analyses. An efficient organizational structure, a competent management team, and strong supervision mechanisms further strengthen the project’s operational readiness. Increasing demand for construction services also enhances the company’s market prospects. However, several areas still require improvement, including heavy equipment utilization, material efficiency, and digital marketing strategies. This program provides strategic recommendations to help PT Sahabat Anugrah Sejati improve project feasibility, operational effectiveness, and long-term business sustainability.

This community service program aimed to improve students’ understanding and awareness of digital media ethics, particularly language politeness in social media communication. The activity was conducted at a junior high school in Islamic Boarding School Al Falah. The program was designed using participatory and interactive approaches, including lectures, group discussions, role-play simulations, and pre-test and post-test evaluations. The initial findings from the pre-test indicated that most students lacked adequate understanding of ethical digital communication and tended to perceive social media as a free space without rules. After the training, the post-test results showed a significant improvement in students’ comprehension of responsible and polite communication practices in digital environments. Students demonstrated better awareness of the impacts of hate speech, cyberbullying, and misinformation. They were also able to propose constructive and ethical responses to various social media scenarios. The activity resulted in increased digital awareness, positive behavioral changes, and personal commitments from students to promote respectful communication online. This program contributes to strengthening digital literacy and character education among adolescents in rural areas.

Rainfall plays a crucial role in determining flood risk, particularly in regions with high precipitation intensity and limited drainage capacity. Langkat Regency in North Sumatra is one of the areas frequently affected by seasonal flooding. This study aims to model the spatial distribution of rainfall and estimate the rainwater volume using the double integral approach as a basis for flood mitigation planning. Monthly rainfall data from various observation stations in 2024 were processed to obtain the average rainfall intensity, which was then converted into meters and multiplied by the total area of Langkat Regency to compute the rainwater volume. The results indicate that the total estimated rainwater volume throughout 2024 reached 16,409,819,800 m³, with peak precipitation occurring from September to November, contributing significantly to the increasing flood risk in low‐lying zones and riverine areas. These findings demonstrate that the use of double integrals is an effective quantitative method for predicting potential flood volume based on rainfall distribution. The outcomes of this study are expected to serve as a scientific reference for local governments in developing data-driven flood mitigation strategies, such as improving drainage capacity, constructing retention basins, and strengthening watershed management.

The paradigm of Islamic education requires the integration of Western learning theories with an Islamic perspective to create a holistic approach to education. With the rapid development of psychological theories in education, such as behaviorism, cognition, humanism, and constructivism, it is essential to examine their relevance within the context of Islamic education. This article aims to analyze the integration of these theories in Islamic learning, with a focus on their connection to key Islamic concepts such as reward-punishment (pahala-dosa), reflection (tafakkur), self-actualization, mutual assistance (ta'awun), and consultation (syura). This study uses a literature review method with a qualitative approach. Articles were gathered through Google Scholar and Publish or Perish with keywords "Behaviorism in Islamic Education" AND "Cognitive Learning in Islam" AND "Humanistic Approach in Islamic Education" AND "Constructivism in Islamic Education." Of the initial 40 articles obtained, a screening process resulted in 5 articles that met the publication criteria (2020–2025), relevance to the topic, and open access. The review results show that integrating these theories into Islamic education can enrich the learning process by linking moral, social, and spiritual elements that are essential in Islamic teachings. This literature synthesis reveals the importance of integrating psychological theories with the principles of Islamic education to create a more comprehensive and holistic educational system. Further research should develop empirical methodologies and more detailed and practical application models in Islamic education practice.

The development of artificial intelligence has revolutionized higher education by increasing the efficiency and personalization of learning, but it has also posed a major challenge in the form of a decline in students' critical thinking skills due to their dependence on technology. Therefore, an in-depth philosophical study through the post-positivism, critical theory, and constructivism paradigms is needed to understand its impact on cognitive and epistemological processes. This study aims to analyze how these three paradigms guide the development of critical thinking in the context of AI. It uses a descriptive-analytical method based on secondary data from academic literature such as journals and books that have been critically synthesized. The findings show that post-positivism views AI as a tentative critical realism tool for empirical verification. Critical theory critiques power relations, ideology, and the ethics of technological domination. Constructivism emphasizes the construction of social knowledge through human-centered design that supports creativity and collaboration. The positive impacts of AI include instant feedback and content adaptation, while the negative impacts include social isolation, weak digital literacy, and data privacy. Therefore, the implication is the wise use of AI with the assistance of teaching staff to strengthen reflective analysis, ethical literacy, and paradigm adjustments in accordance with the exact or social sciences to create multidimensional learning in the digital era.

This study aims to understand the meaning of adaptive leadership in modern organizations facing transformations in work culture during the era of disruption. Using a phenomenological qualitative approach within the social constructivist paradigm, this research explores the lived experiences of leaders in interpreting change, uncertainty, and human values amid digitalization and organizational complexity. Data were collected through in-depth interviews and non-participant observation involving eight leaders from various industrial sectors in Indonesia and were analyzed using Colaizzi’s phenomenological analysis technique. The findings reveal that adaptive leadership is understood as a reflective and social process rooted in value awareness, empathy, and collective learning capacity. Adaptive leaders not only direct change but also facilitate learning and build trust through open communication and collaborative work cultures. Adaptive values such as flexibility, empathy, and moral reflection are key to shaping inclusive and sustainable organizational cultural transformation. Theoretically, this study extends the discourse on adaptive leadership within phenomenological and social contexts, while practically emphasizing the importance of value-based reflective leadership in navigating disruptive change.

This study aims to analyze the implementation of the Balanced Scorecard (BSC) as a strategic performance evaluation tool in the era of digital transformation. Using a descriptive qualitative approach within the social constructivist paradigm, data were collected through in-depth interviews, non-participant observation, and document analysis in three organizations undergoing digitalization. Thematic analysis (Braun & Clarke, 2006) identified four main themes in the application of the BSC: digital strategy alignment, digital readiness and data integration, a culture of learning and innovation, and adaptive leadership transformation. The findings indicate that the BSC functions not only as a performance measurement system but also as an adaptive, collaborative, and data-driven strategic management framework. The integration of digital technologies accelerates decision-making processes and strengthens reflective organizational culture. Theoretically, this study extends the classical BSC model of Kaplan and Norton (1996, 2001) toward a Digital Balanced Scorecard that emphasizes synergy among strategy, data, and organizational learning. Practically, the results highlight the importance of digital readiness, an innovation-oriented culture, and adaptive leadership as key foundations for successful BSC implementation in the era of digital disruption.

This study aims to understand how the spirit of innovation and the meaning of entrepreneurship are constructed through the lived experiences of startup business actors in the digital economy era. Using a qualitative narrative inquiry approach within the social constructivist paradigm, this research explores how startup entrepreneurs interpret innovation, resilience in the face of failure, and social responsibility as integral parts of their entrepreneurial identity. Data were collected through in-depth interviews, non-participant observation, and document analysis of startups in the technology, education, and creative economy sectors in Indonesia. Narrative thematic analysis reveals that innovation is understood not merely as a business strategy but also as a form of self-expression and the construction of entrepreneurial identity. Failure is perceived as a reflective learning process that shapes resilience and generates new meaning in the entrepreneurial journey. Moreover, entrepreneurship is interpreted as a meaningful journey that integrates economic goals with social and moral values. The digital ecosystem functions as a social space where entrepreneurial values are negotiated, shared, and reinforced through interaction and collaboration. These findings affirm that entrepreneurship in the digital era is a social process involving creativity, ethical reflection, and sustainable innovation. Theoretically, this study contributes to expanding the understanding of entrepreneurship as a social practice, while practically emphasizing the importance of reflective learning and value awareness in building a sustainable and meaningful startup ecosystem for society.

This study examines the application of double integrals in calculating the volume of cylindrical concrete piles as a basis for estimating material requirements in building foundation structures. The volume calculation was carried out using a double-integral approach in polar coordinates for three pile segments with lengths of 4 m, 3.9 m, and 4 m, each having a diameter of 60 cm. The results were then validated using the standard geometric formula to ensure consistency and mathematical reliability. The obtained concrete volume was subsequently used to estimate material needs based on a 1:1.5:3 mix proportion consisting of cement, sand, and gravel. The findings indicate that double integrals can be effectively applied to generate accurate estimations of both volume and material requirements, supporting logistical planning in construction. This approach also highlights the strong connection between mathematical concepts—particularly multivariable calculus—and practical applications in civil engineering. Furthermore, the study emphasizes that double integrals may serve as a relevant alternative when structural modeling requires deeper analytical exploration or validation beyond conventional geometry. Therefore, the implementation of double integrals not only reinforces theoretical understanding but also enhances precision in evaluating structural components within building foundation planning.

This study aims to explore students' experiences, reflections, and perceptions of innovative learning in drama studies through digital performance. This qualitative descriptive research utilized a case study approach with 36 students enrolled in the Drama Studies course (2025/2026) within the Indonesian Language and Literature Education program at Universitas Singaperbangsa Karawang. Primary data consisted of students' written reflections and digital performance artifacts, supported by secondary data from literature on constructivism, dual coding/multisensory theory, and emotional intelligence, as well as curriculum documents. Data collection involved documentation, participatory observation, and semi-structured interviews. Data analysis employed thematic analysis through systematic steps including reading, coding, categorization, interpretation, and presentation. Data validity was ensured through source triangulation, member checking, and peer debriefing. The findings indicate that digital performance provides positive learning experiences, strengthens the integration of theory and practice, fosters problem-solving skills, and develops collaboration, empathy, and students' emotional intelligence. These results affirm that digital performance-based drama learning is a pedagogical innovation relevant to 21st-century competencies and can serve as a model for project-based curriculum development in literature education.

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.

Reading literacy among 6th grade elementary students is often superficial, limiting their ability to analyze implicit meanings and connect texts to real-world contexts. This review examines the potential of deep learning as a pedagogical approach to enhance in-depth text comprehension. Deep learning emphasizes active engagement, reflection, and the construction of meaningful knowledge, aiming to foster critical thinking and improve comprehension. Recent studies highlight implementation strategies such as reflective journaling and interactive discussions, which have demonstrated significant improvements in students' critical thinking and comprehension scores (p < 0.05). These findings suggest that deep learning methods surpass traditional approaches by promoting higher-order cognitive skills, enabling students to analyze and interpret texts more effectively. However, challenges such as inadequate teacher training persist, which may hinder the full integration of deep learning techniques. To address these challenges, further research is needed to explore scalable digital tools that can support deep learning in diverse classroom settings. By examining the potential for digital integration, future studies could provide insights into how technology can facilitate the widespread adoption of deep learning strategies, making them more accessible and effective for a broader range of students. Ultimately, this review underscores the promise of deep learning in enhancing reading literacy and suggests that addressing the barriers to its implementation could have significant educational benefits.

This study aims to analyze the effect of the implementation of the Intelligent Tutoring Sistem (ITS) based on Artificial Intelligence (AI) on improving the understanding of mathematical concepts, especially in fractional and basic geometry materials, in Class V students of SD Negeri 2 Badran, Temanggung Regency. The research method used was a quasiexperimental experiment with a Non-equivalent Control Group Design. The research sample consisted of 48 students who were divided into two groups, namely the experimental group (n=24) who received learning with the help of AI-based ITS, and the control group (n=24) who received conventional learning with lecture methods and practice questions. The research instrument is in the form of a test of understanding of mathematical concepts that has been validated by experts and tested for reliability. Data were analyzed using parametric statistical tests of the Independent Sample t-test and N-Gain Score to measure the improvement. The results showed that there was a significant difference in understanding of mathematical concepts between the experimental group and the control group. The average post-test score of the experimental group (82.45) was significantly higher than that of the control group (70.12) with a p< value of 0.05. N-Gain analysis showed that the improvement in conceptual understanding in the experimental group was in the "moderate" category (g=0.56), while the control group was in the "low" category (g=0.32). These findings indicate that AI-based ITS is effective in improving students' understanding of mathematical concepts. The advantages of the system lie in its ability to provide instant feedback, personalize materials according to learning pace, and present interactive materials, thus helping to better construct students' conceptual understanding. It is recommended that schools consider the integration of ITS technology as a supplementary tool in mathematics learning at the elementary level.

Measurement learning is a fundamental and applicable mathematical topic in everyday life, but it often causes learning difficulties for students, especially in understanding the meaning of units, relationships between quantities, and the conceptual measurement process. These difficulties are not only caused by students' limited cognitive abilities, but also by learning designs that do not fully facilitate social interaction and student learning development. This study aims to reconstruct the contextual didactic design in measurement learning by reviewing the role of social interaction and the Zone of Proximal Development (ZPD) in the student learning process. This study uses a qualitative approach with the type of Didactic Design Research (DDR). The research stages include analysis of the initial didactic situation to identify student learning barriers, implementation of contextual didactic design in measurement learning, and retrospective analysis of student responses as a basis for reconstructing the didactic design. Data were collected through learning observations, analysis of student work results, interviews, and learning documentation. Data analysis was carried out qualitatively by examining social interaction patterns, forms of scaffolding, and student movements in the Zone of Proximal Development. The results of this study indicate that understanding of measurement concepts develops through social interactions between students and between students and teachers within a meaningful learning context. Social interactions and scaffolding provided gradually can encourage students to move from actual abilities to potential abilities within the Zone of Proximal Development. Retrospective analysis indicates that reconstruction of the didactic design is necessary to refine the learning context, activity sequence, and scaffolding strategies to better align with students' learning characteristics. The reconstruction of the didactic design can reduce learning barriers and improve the quality of students' conceptual understanding in measurement learning. This research provides theoretical contributions to the study of social constructivism-based mathematics education and provides practical implications for teachers in designing measurement learning that is more responsive to social interactions and student learning development.

The development of digital information technology has fundamentally transformed the ways university students access and interpret religious information. Social media platforms such as TikTok, Instagram, and YouTube have become primary spaces where students encounter diverse forms of religious content, ranging from educational dakwah to provocative narratives that may trigger tension and conflict. This phenomenon creates both opportunities and challenges for shaping religious moderation, particularly among first-semester students who are in the formative stage of constructing their intellectual and religious identities. This study aims to explore in depth the dynamics of religious moderation among first-semester students at IAINU Tuban within the context of digital polarization. A descriptive qualitative method was employed, utilizing semi-structured interviews, observations, and documentation as data collection techniques. Data were analyzed through thematic processes of reduction, presentation, and conclusion drawing. The findings reveal that students exhibit high social media engagement and are frequently exposed to short dakwah content circulated through algorithmic mechanisms. However, they also confront digital polarization characterized by emotional disputes, informational bias, and negative perceptions of other religious groups. While students demonstrate an initial understanding of religious moderation—such as wisdom, tolerance, and resistance to provocation—they have not fully developed adequate religious digital literacy to critically evaluate extreme content. This research concludes that social media simultaneously serves as a medium for dakwah and a site of polarization, highlighting the need for systematic reinforcement of digital literacy and religious moderation within Islamic higher education. 

Constructivism learning theory places learners as active subjects in constructing knowledge through learning experiences, social interactions, and reflection on their surroundings. This approach views learning not as a passive process of receiving information, but as an active process of constructing meaning based on the prior knowledge possessed by learners. This paper aims to comprehensively examine the development and definition of constructivist learning theory, its main principles and characteristics, and its implications in the learning process, particularly in the context of primary education. The writing method used is a literature study by analyzing various literature sources in the form of textbooks, scientific journal articles, and other relevant references related to constructivism theory. The results of the study show that constructivist learning emphasizes learner-centered learning, where knowledge is not transferred directly by the teacher but is constructed through a process of assimilation and accommodation. In this approach, teachers act as facilitators who design a conducive learning environment so that students are able to build understanding independently and through social interaction. The application of constructivist learning has been proven to encourage the development of critical thinking, problem solving, cooperation, and meaningful learning. Therefore, constructivist learning theory is relevant to be applied in modern learning as an effort to improve the quality of the learning process and outcomes of students.