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This study aims to examine the development of teachers’ multicultural competence at SMA Ta'miriyah Surabaya. The study employed a qualitative approach using a case study design. Data were collected through interviews, observations, and documentation involving the principal and teachers as research informants. Data analysis applied the interactive model of Miles, Huberman, and Saldana, which consisted of data condensation, data display, and conclusion drawing. The findings revealed that the development of teachers’ multicultural competence at SMA Ta'miriyah was carried out through three main pathways. First, training programs that implicitly integrated multicultural values into general educational programs, such as the teacher mobilization program. Second, organizational development grounded in Islamic values as the foundation for fostering tolerance and respect for diversity, implemented through curriculum integration, school regulations, teacher role modeling, and collaboration among teachers. Third, career development, which remained primarily focused on academic aspects and had not explicitly incorporated indicators of multicultural competence. Teachers’ multicultural competence at SMA Ta'miriyah was reflected in three main dimensions. In terms of knowledge, teachers acquired understanding through teaching experience, formal education, and training. In terms of attitudes, teachers demonstrated tolerant and inclusive behavior when interacting with students from diverse cultural and ethnic backgrounds. In terms of skills, teachers were able to manage classroom diversity harmoniously through adaptive and responsive pedagogical approaches that accommodated students’ differences.

The era of globalization presents challenges of moral degradation among students, including intolerance, individualism, and declining nationalism. These issues make character strengthening through Civic Education (PKn) a national priority. This study aims to analyze the effectiveness of PKn in shaping students’ character, particularly the values of religiosity, nationalism, independence, mutual cooperation, and integrity. The research employed a qualitative Library research design using secondary data from 18 scientific journals and 2 books published between 2021 and 2026. Data were collected through literature review and analyzed using content and thematic analysis to identify patterns of PKn implementation and its impact. The findings indicate that PKn effectively develops Good citizenship through character education based on Pancasila. Effective strategies include teacher role modeling, Problem-Based Learning (PBL), and digital media such as infographics and gamification. These approaches were reported to improve empathy, national loyalty, and integrity among students. The Merdeka Curriculum further supports character development by emphasizing affective learning through authentic projects. Challenges arising from foreign cultural influences can be addressed through collaboration among schools, families, and communities. The study concludes that PKn plays a significant role in strengthening students’ character and supporting the realization of Golden Indonesia 2045 through sustainable character education.

Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and manual labeling, left 385 data points. The analysis process followed the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Model evaluation was conducted using a confusion matrix with accuracy, precision, and recall metrics. The classification results show that 82% of tweets have a positive sentiment and 18% negative. The Naïve Bayes algorithm achieved an accuracy of 86.49%, slightly lower than SVM, which reached 88.05%. In conclusion, Support Vector Machine is more effective in sentiment classification on public opinion data. This research contributes to the digital mapping of public opinion and recommends the development of automatic labeling methods as well as the exploration of advanced algorithms in the future.

This study aims to describe the implementation of instilling Islamic Religious Education values in the aspects of the Qur’an and Aqidah at TPQ Fattuhul Qulub, Doyo Baru District. The background of this research is based on the importance of Islamic religious education in shaping children’s character and morals from an early age amid the decline in the morality of the younger generation. TPQ, as a non-formal educational institution, has an important role in instilling Islamic values through learning the Qur’an, aqidah, and morals. However, in its implementation, several obstacles are still found, such as the low understanding of students regarding religious values, varying abilities in reading the Qur’an, and the lack of support from family and community environments.This study employed a descriptive qualitative approach. Data were collected through observation, interviews, and documentation at TPQ Fattuhul Qulub, Doyo Baru District. The focus of the research includes the planning, implementation, and evaluation processes of instilling Islamic Religious Education values in the aspects of the Qur’an and Aqidah.The results of the study indicate that the instillation of Islamic Religious Education values has been carried out through structured stages of planning, implementation, and evaluation. The learning process was conducted using the methods of Iqra’, tahsin, tahfidz, talaqqi, lectures, role modeling, habituation, and exemplary stories. In the Qur’anic aspect, students were guided to read the Qur’an according to tajwid rules and memorize short surahs, while in the Aqidah aspect, students were taught the pillars of faith, the attributes of Allah and His Messenger, and the formation of Islamic morals. The evaluation results showed improvements in Qur’anic reading skills, memorization, understanding of aqidah, and changes in students’ religious behavior, such as becoming more disciplined, polite, and diligent in worship. This success was supported by the exemplary behavior of the teachers and the involvement of parents in the learning process.

The completeness of nursing care documentation serves as a primary indicator of hospital service quality and remains a critical component of patient safety, clinical communication, and legal accountability. Despite its importance, empirical evidence from various healthcare facilities indicates that nursing records are frequently suboptimal, incomplete, or inconsistent. This study aims to analyze the complex interrelationships between burnout and coaching on the completeness of nursing care documentation, specifically examining the role of nursing competence as a mediating (intervening) variable at the Dr. Chasbullah Abdulmadjid General Hospital in Bekasi City. Utilizing a quantitative research framework with a cross-sectional design, this study sampled practicing nurses stationed across inpatient and intensive care units. Primary data were gathered through a validated, structured questionnaire designed to measure psychological burnout, the frequency of clinical coaching, perceived professional competence, and the objective completeness of documentation. The data were subjected to rigorous analysis using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to test the hypothesized pathways within the conceptual model. The results demonstrated that burnout exerts a significant negative influence on both nursing competence and the quality of documentation, suggesting that emotional exhaustion hinders professional performance. Conversely, systematic coaching was found to have a significant positive impact, directly improving both competence levels and documentation adherence. Critically, the analysis confirmed that nursing competence acts as a vital intervening variable; it effectively mediates and strengthens the influence of both burnout reduction and coaching interventions on the overall completeness of nursing care records. This study concludes that proactive burnout management and the institutionalization of structured coaching programs are essential strategic priorities. By addressing these factors, hospital management can enhance individual nurse competence, thereby ensuring high-quality, comprehensive nursing documentation that supports patient safety and institutional integrity.

The phenomenon of tourist destinations experiencing a decline in popularity after a viral phase (post-viral stagnation) poses significant challenges to the sustainability of urban tourism. This study aims to test a structural model for destination reactivation in Kampung Pelangi, Semarang, focusing on the role of digital transformation in strengthening destination resilience through the mediation of competitive advantage. Using a quantitative approach, data were collected from 150 respondents and analyzed using Structural Equation Modeling (SEM-PLS). The results of the hypothesis testing indicate that digital transformation has a positive and significant influence on competitive advantage (β = 0.495; t = 5.820; p < 0.001) and destination resilience (β = 0.312; t = 3.450; p < 0.001). Furthermore, competitive advantage was found to have a strong impact on resilience (β = 0.542; t = 7.115; p < 0.001). A mediation test demonstrated that competitive advantage significantly mediated the relationship between digital transformation and resilience (β = 0.268; t = 4.890; p < 0.001). This model demonstrated a predictive power of 61.2% (R2 = 0.612) for destination resilience. This finding emphasizes that post-pandemic destination reactivation requires the integration of digital capabilities that can restore differentiation and unique value propositions to achieve long-term resilience.

This study aims to examine the components of the Christian Religious Education (CRE) curriculum in the family, its design and development, and its concrete implementation. The research employs a qualitative approach with a descriptive design through library research, using data sources such as books, academic journals, and relevant articles. The data were analyzed using descriptive qualitative techniques to produce a systematic and in-depth description. The findings show that the CRE curriculum in the family consists of interconnected components, namely objectives, content, strategies, methods, and evaluation, which must be implemented in an integrated manner. Faith education in the family is carried out through methods such as role modeling, habituation, teaching, discussion, mentoring, and practical application. Effective strategies include parental role modeling, dialogical communication, and love-based discipline. The implementation of the curriculum is realized through concrete activities such as family prayer, family worship, Bible reading, and the application of Christian values in daily life. In conclusion, the success of Christian Religious Education in the family largely depends on the active role and consistency of parents in implementing the curriculum in a holistic and continuous manner. With the right approach, the family can become an effective center of faith education in shaping children who are faithful, character-driven, and prepared to face life’s challenges.

This study aims to examine the methods, models, strategies, as well as the design and development of the Christian Religious Education curriculum within the family. The research employs a qualitative approach with a descriptive type through library research, using data sources such as books, scientific journals, and relevant articles. The results of this study indicate that faith education in the family should be carried out holistically through various methods such as modeling, habituation, teaching, and mentoring. In addition, educational models such as the theocentric, relational, and participatory models provide clear direction in nurturing children’s faith. Effective strategies include modeling, dialogical communication, spiritual habituation, mentoring, and discipline based on love. Meanwhile, a simple family-based curriculum that includes objectives, materials, methods, media, and evaluation is essential to support a well-directed educational process. The success of Christian Religious Education in the family largely depends on the active role and consistency of parents in implementing methods, models, strategies, and curriculum in an integrated manner. With the right approach, the family can become an effective center of faith education in shaping children who are faithful, have strong character, and are prepared to face life’s challenges.

This study aims to investigate the influence of academic qualifications, managerial capabilities, and Perceived Organizational Support (POS) on emotional exhaustion and its implications for employee productivity at Sunan Kudus Islamic Hospital. Using a quantitative approach, data were collected via a questionnaire from 138 respondents. Instrument evaluation procedures were conducted through validity and reliability tests, while hypothesis testing was analyzed using Structural Equation Modeling (SEM). The findings reveal that academic qualifications and POS have a significant negative effect on emotional exhaustion, indicating that increased intellectual competence and strong organizational support are effective in reducing staff emotional exhaustion. Conversely, managerial capabilities were found to have no significant influence on emotional exhaustion. In the context of performance, the analysis results show that academic qualifications, managerial capabilities, and POS have a partial, positive, and significant effect on work productivity. Practically, this study suggests that hospital management prioritize human capital development and the strengthening of a supportive organizational climate to mitigate emotional exhaustion while accelerating operational efficiency in a sustainable manner.

This study aims to analyze the effect of Knowledge Sharing and Knowledge Leakage on Supply Chain performance, with Monitoring Opportunity as a mediating variable at the Library Office of Mesuji Regency. The research problem arises from the limited structure of knowledge-sharing practices, weak documentation of organizational knowledge, and the potential risk of knowledge leakage that may disrupt the effectiveness of library service supply chains. This study employs a quantitative approach using a survey method. Data were collected through questionnaires distributed to 115 employees of the Library Office of Mesuji Regency and analyzed using Structural Equation Modeling based on Partial Least Squares with SmartPLS. The results show that Knowledge Sharing has a positive and significant effect on Supply Chain performance and Monitoring Opportunity. Knowledge Leakage does not have a significant direct effect on Supply Chain performance, but it has a negative and significant effect on Monitoring Opportunity. Furthermore, Monitoring Opportunity significantly mediates the relationship between Knowledge Sharing and Supply Chain performance, but does not mediate the relationship between Knowledge Leakage and Supply Chain performance. These findings indicate that knowledge sharing becomes more valuable when supported by monitoring capability, while knowledge leakage should be controlled through documentation, access control, and knowledge protection mechanisms. This study contributes to knowledge management and supply chain literature in public library service organizations.

The digital transformation in Indonesia’s banking sector has significantly increased the use of digital banking services; however, it has not been fully accompanied by optimal customer trust. This study aims to examine the effect of perceived risk, data privacy protection, and digital service quality on customer trust, both partially and simultaneously. A quantitative approach was employed using survey data collected from 150 digital banking users in Indonesia. Data were analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results indicate that perceived risk has a negative and significant effect on trust, while data privacy protection and digital service quality have positive and significant effects on trust. Simultaneously, all variables significantly influence trust, with an R² value of 0.672, indicating strong explanatory power. Compared to prior studies, this research contributes novelty by integrating these three variables into a comprehensive model. The findings reveal that digital service quality is the most dominant factor influencing customer trust. This study concludes that enhancing customer trust requires an integrated approach through effective risk management, strengthened data protection, and continuous improvement in digital service quality.

Algorithmic technologies are widely used in contemporary marketing strategies due to the growth of the digital economy. Digital companies can evaluate consumer activity data in real time and provide highly personalized digital experiences thanks to artificial intelligence-based solutions, especially machine learning. In addition to examining how algorithmic governance and surveillance capitalism affect algorithmic personalization, this study looks into how these mechanisms affect consumer engagement, purchase intention, and perceptions of hyperreality within the digital market ecosystem. 356 active users of digital platforms, such as social media and e-commerce, were surveyed as part of this study's quantitative methodology. The links between the constructs in the suggested conceptual model were examined through data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the development of algorithmic personalization systems is strongly influenced by data-driven capitalism practices and algorithmic governance. Additionally, it has been demonstrated that algorithmic personalization improves customers' sense of hyperreality and increases their interaction with digital platforms. Additionally, the study shows that the most powerful factor influencing purchase intention is consumer interaction. By combining viewpoints from technology, the political economics of data, and hyperreality theory into a thorough empirical framework, these findings add to the body of knowledge on digital marketing.

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.

The digital era has fundamentally transformed the market landscape, requiring e-commerce platforms to understand the determinants of consumer behavior. This study aims to analyze the role of E-commerce Trust as a mediating variable in the relationship between Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment on Purchase Intention. Using a quantitative approach, data was collected from 326 active users of the Lazada platform in Central Java. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The results show that the three main factors ease, usefulness, and enjoyment have a positive and significant influence on Brand Trust and consumer Purchase Intention directly. Furthermore, it was found that E-commerce Trust acts as a crucial mediator that strengthens Purchase Intention through positive user experience. Theoretically, this study strengthens the Technology Acceptance Model (TAM) framework and the context of Cross-Border E-commerce (CBEC) in the digital retail industry. Practically, these findings emphasize the importance of optimizing platform features to enhance transaction convenience and security and build long-term loyalty. The research's implications suggest that platform managers should focus on both aesthetics and functionality to create a credible and enjoyable digital shopping ecosystem for consumers in developing regions.

This study aims to develop a Strategic Learning Enabler model by reconfiguring the role of Information and Communication Technology (ICT) units to enhance Generation Z student productivity in digital higher education. The research is motivated by the gap between digital transformation demands and the predominantly technical-operational role of ICT units. Using a quantitative explanatory design, this study examines the causal relationships among ICT role reconfiguration, adaptive learning systems, and student productivity. Data were collected through questionnaires distributed to Generation Z students engaged in digital learning environments and analyzed using Structural Equation Modeling (SEM). The findings indicate that Generation Z students exhibit high responsiveness to structured tasks but lack continuity in learning activities due to weak self-regulated learning. The study also reveals that adaptive learning systems significantly mediate the relationship between ICT transformation and student productivity. The proposed model emphasizes digital governance, learning analytics, and micro-tasking structures as key components in building sustainable academic productivity. This research contributes both theoretically and practically by offering an institutional framework for digital learning transformation in higher education.

The Qiroati method is an instructional approach to reading the Qur’an that emphasizes direct practice of tartil recitation in accordance with the rules of tajwid. This method is practical, systematic, and implemented gradually, meaning that learners are not allowed to proceed to the next level before achieving fluency at the current stage. One of the main challenges in learning to read and memorize the Qur’an is the limited use of structured teaching methods, as some teachers still rely primarily on personal experience and conventional reading approaches. This condition contributes to students’ lack of fluency in reading and memorizing the Qur’an, as well as decreased learning motivation due to monotonous and less effective instructional practices. This study aims to examine the implementation of the Qiroati method in improving students’ Qur’anic reading ability within the Tahfidzul Qur’an program at SMP Daruttaqwa Full Day School. The findings are expected to provide useful insights for educators and contribute to academic knowledge. This research employs a field research design with a descriptive qualitative approach, focusing on describing the application of the Qiroati method in enhancing students’ reading ability in relation to Qur’an memorization. Data were collected through interviews, tests, and documentation, while data analysis involved data collection, data display, and conclusion drawing. The results indicate that the implementation of the Qiroati method effectively improves students’ ability to read the Qur’an in the Tahfidzul Qur’an program. This is evidenced by the improvement in students’ reading scores compared to their previous performance. In practice, the method involves teachers modeling correct recitation, followed by students reading collectively. Therefore, the Qiroati method not only enhances students’ accuracy in reading the Qur’an but also fosters a more engaging and effective learning environment.

This study aims to examine the impact of digital transformation in accounting and the effectiveness of internal control systems on the quality of financial reports in an integrated logistics services company. The method used is a quantitative approach using Structural Equation Modeling-Partial Least Squares (SEM-PLS), with data collected from 35 respondents who are involved in financial and accounting activities within the company. The analysis focuses on evaluating the relationships between digital transformation, internal control systems, and financial reporting quality. The research findings indicate that digital transformation in accounting (coefficient = 0.658; p-value = 0.000) and internal control systems (coefficient = 0.308; p-value = 0.023) have a positive and significant effect on the quality of financial reports. Furthermore, the coefficient of determination (R²) value of 0.822 shows that both independent variables are able to explain 82.2% of the variation in financial report quality, while the remaining percentage is influenced by other factors outside the model. These results confirm that the implementation of digital technology supported by an effective internal control system can significantly improve the accuracy, relevance, timeliness, and reliability of financial reporting in organizations.

This study aims to analyze the influence of incentives and physical work environment on employee performance with motivation as a mediating variable at the Denpasar City Cultural Office. This study uses a quantitative approach with a survey method. The research population was all employees of the Denpasar Cultural Office totaling 54 people, all of whom were sampled using saturated sampling techniques. Data were collected through a questionnaire with a Likert scale and analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results of the study showed that incentives had a positive and significant effect on employee performance, while the physical work environment did not have a significant effect on employee performance. In addition, motivation has a positive and significant effect on employee performance. Mediation testing showed that motivation was able to mediate the influence of incentives on employee performance, but was unable to mediate the influence of the physical work environment on employee performance. These findings indicate that improving employee performance is more effective through providing the right incentives and increasing work motivation compared to improving the physical work environment alone.

This study aims to test the influence of digital literacy and the use of accounting applications on the effectiveness of MSME information systems with user competence as a mediating variable. The research sample amounted to 100 MSME actors in Gresik City who were selected using purposive sampling techniques according to the research criteria. Data testing was carried out using a quantitative approach using the Structural Equation Modeling–Partial Least Square (SEM-PLS) method through the SmartPLS application. The results of the study show that digital literacy and the use of accounting applications have a positive effect on the effectiveness of MSME information systems. Meanwhile, user competence does not have a significant effect and is unable to mediate the influence of digital literacy and the use of accounting applications on the effectiveness of information systems. This research is expected to provide benefits for MSME actors in increasing the use of digital technology and accounting applications, as well as become an academic reference for future research. The limitations of this study lie in the scope of the MSME scale, which has not considered external factors, and the research model that has not fully explained the role of user competence as a mediating variable.

Indonesia is in an earthquake-prone region, therefore, designing building constructions that can withstand seismic loads is crucial in civil engineering. Reinforced concrete shear walls are one of the vertical structural fundamentals that are effectively used in multi-story buildings to withstand lateral forces due to earthquake and wind loads. Structures that use shear walls can increase stiffness and reduce horizontal deviations (deflections) of buildings, which contribute to the stability and safety of structures based on the SNI 1726:2019 standard. This study aims to analyze the effect of shear wall configurations on deviation and torsion requirements in multi-story building planning. The study object is a 6-story reinforced concrete building model in a specific earthquake zone. The design and modeling were performed using structural analysis software, taking into account columns, beams, slabs, and shear walls. The analysis results show that optimal placement of shear walls at the building edges significantly reduces horizontal drift, torsion, and shear forces, and improves the structural performance level compared to structures without shear walls or those with less effective placement. Structures with shear walls have optimal stiffness in absorbing lateral forces, making them more resistant to damage from the planned earthquake.