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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.

This study explores the relationship between service quality dimensions and customer loyalty in high-contact service industries, including healthcare, hospitality, and financial services, particularly in emerging markets. Using the SERVQUAL model, which identifies five key dimensions tangibles, reliability, responsiveness, assurance, and empathy the research examines how these dimensions influence customer loyalty. A quantitative research design is employed, with data collected through a cross-sectional survey of 400 respondents using a structured questionnaire. The study analyzes service quality, customer satisfaction, and loyalty using Structural Equation Modeling (SEM), regression analysis, and Exploratory Factor Analysis (EFA). Findings reveal that reliability and empathy are the most influential factors in fostering loyalty, with customer satisfaction acting as a mediator. Additionally, the research highlights the role of perceived value and customer experience in moderating these effects, particularly in sectors like healthcare and hospitality. The study extends the SERVQUAL model by integrating new dimensions such as customer experience and perceived value, offering a more comprehensive framework for understanding service quality in high-contact industries. These insights provide actionable recommendations for service managers to enhance customer loyalty by addressing both functional and emotional aspects of service quality

 This study examines women’s transformational leadership in educational institutions through a systematic literature review approach. The increasing involvement of women in leadership positions in schools and universities has attracted academic attention to understand their contribution to organizational development and the improvement of educational quality. This study aims to synthesize recent empirical research findings on women’s transformational leadership in education. The method used was a Systematic Literature Review (SLR) by identifying, evaluating, and synthesizing relevant studies published between 2021–2026 through academic databases such as Google Scholar and ScienceDirect using the keywords “transformational leadership,” “women leadership,” and “education or school.” After a selection process based on inclusion and exclusion criteria, 15 empirical articles were analyzed. The findings indicate that female leaders tend to demonstrate transformational leadership characteristics, including inspirational motivation, intellectual stimulation, idealized influence, and individualized consideration. These leadership practices positively affect teacher motivation and performance, organizational commitment, organizational climate, and learning innovation. However, women in leadership positions still face challenges such as gender stereotypes, structural bias, and social expectations regarding gender roles, indicating the need for institutional support and more inclusive policies.

Widespread structural poverty is one of the tangible effects of a capitalist economic system that emphasizes capital accumulation and economic growth without regard for equity and social justice. This situation has prompted the Church to reexamine its role in a world marked by inequality and marginalization of the poor. This article aims to analyze the relevance of Pope Francis' thinking in the apostolic exhortation Evangelii Gaudium as a theological and pastoral basis for the Church's stance towards the poor. This study uses a qualitative method with a literature review approach through document study, with Evangelii Gaudium as the main source, supported by relevant social theology literature and academic studies. The results of the study show that Pope Francis comprehensively understands poverty in three dimensions, namely material, moral, and spiritual poverty. Through Evangelii Gaudium, the Church is called to experience a change in its mission, from a self-centered Church to a Church that moves outward and is actively involved in the liberation of the poor. Thus, the Church not only carries out charitable works, but also acts as an agent of social change that brings the joy of the Gospel, justice, and hope to a world wounded by structural injustice.

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.

Access to justice is a constitutional right that is often difficult for vulnerable groups to access, thus triggering legal disparities and systemic injustice. This study aims to analyze the urgency of legal assistance by advocates and Legal Aid Institutions (LBH) as a protection instrument for individuals facing legal arbitrariness. Using normative legal research methods supported by a statute approach, this study evaluates the effectiveness of the implementation of the Legal Aid Law in Indonesia. The results show that legal assistance functions not only as technical representation in court, but also as a balancing power relationship between the state or powerful entities and citizens. Legal assistance plays a vital role in mitigating violations of legal procedures (due process of law) often experienced by victims of injustice. However, structural obstacles such as limited state budgets and low public legal literacy remain major obstacles. This study concludes that strengthening the free legal aid scheme (pro bono publico) integrated with strict judicial oversight is essential to ensure that justice belongs not only to those with financial resources, but also to all citizens without exception.

This research is motivated by the complex problems of street children, vagrants, and beggars in Jambi City, which are influenced by poverty, urbanization, and weak social protection. This phenomenon not only impacts public order but also reflects the suboptimal social welfare system at the regional level. Although local governments have implemented various policies through social order and rehabilitation approaches, their effectiveness still faces various structural and cultural challenges. This study uses Bryson's Policy Implementation Mapping theoretical framework, which includes indicators of interests, resources, channels, potential participation, level of influence, implications, and actions as the main analysis. The research approach used is a qualitative case study design to understand the dynamics of policy implementation in depth. Data collection techniques were carried out through in-depth interviews, participant observation, and documentation, with informants selected using purposive sampling until data saturation was achieved. The results show that policy implementation mapping has been carried out through collaboration between the Social Service and the Public Order Agency (Satpol PP) with a structured preventive, repressive, and rehabilitative approach. However, implementation has not been optimal due to limited rehabilitation facilities, lack of coordination between agencies, low community participation, and high mobility of beggars from outside the region. Furthermore, there is a gap between high administrative achievements and the reality on the ground, which still shows a high rate of returning to the streets. This study concludes that mapping policy implementation requires a more holistic, sustainable approach based on economic empowerment and strengthened cross-sectoral coordination to address this social issue more effectively and effectively.

Economic globalization has significantly transformed patterns of labor relations and expanded cross-border labor mobility. These developments necessitate alignment between national labor laws and international labor standards. The International Labour Organization plays a leading role in establishing global standards through various labor conventions and recommendations. This study aims to examine the concept of harmonizing national labor laws with international standards, assess its implementation in Indonesia, and identify the challenges faced. The study employs a normative legal method using legislative, conceptual, and comparative approaches. The results indicate that Indonesia has adopted most international standards; however, implementation still faces structural, cultural, and economic obstacles. Legal harmonization is a strategic step to enhance worker protection while maintaining national economic competitiveness.

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.

Households in Yabansai Urban Village, Heram District, Jayapura City, experience recurrent clean-water shortages as the Kampwolker River, the raw-water source of PDAM UPP Waena, discharges decline. This study examines the supply-demand balance of clean water and community adaptation strategies in meeting household water needs. Demand was calculated using the Directorate General of Cipta Karya (1998) standard for a subdistrict town (90-100 L/person/day). Primary data were collected through semi-structured interviews with 60 households across 12 RWs and two PDAM staff, supported by field observations of the intake, distribution network, boreholes, and household storage facilities. The results show that Yabansai's demand is 1,582,650-1,758,500 L/day, while PDAM UPP Waena's net distribution capacity is 2,268,000 L/day in the wet season and 1,008,000 L/day in the dry season. Because this capacity serves several areas, the wet-season surplus is only nominal, and the dry-season capacity is insufficient even for Yabansai alone. Despite this structural shortfall, 61.7% of respondents rate water availability as "Very Sufficient": community practices (water storage, rainwater harvesting, boreholes, water purchase) form an adaptive equilibrium that sustains daily activities but remains costly and vulnerable. The study recommends watershed rehabilitation, source diversification, distribution transparency, and network extension to unserved RWs.

Flood disasters have repeatedly affected Aceh Tamiang Regency for over fifteen years, causing significant material and socio-cultural losses. This study aims to examine the social response of the community through a literature review approach, using Jurgen Habermas's Communicative Action Theory as the analytical framework. Data were collected systematically from national journal articles, scientific proceedings, and academic reports related to flood mitigation and community social response in Aceh Tamiang. Data analysis was conducted using content analysis and thematic analysis techniques. The findings reveal that the community's response is primarily driven by local solidarity rooted in cultural values and local wisdom such as hadih maja. In Habermasian terms, this social response reflects the lifeworld domain, manifesting in voluntary collective action. However, a structural tension exists between the government's top-down system and the community's communicative rationality. Effective disaster mitigation requires the development of participatory public spaces that bridge the system and lifeworld, enabling the transformation from instrumental action to communicative action, thereby strengthening collective resilience against flood disasters.

Organizations in the digital era face rapid and unpredictable changes characterized by volatility, uncertainty, complexity, and ambiguity, requiring strategic adaptation and effective change management. This study aims to synthesize empirical findings on the role of change management strategies, adaptive leadership, innovative organizational culture, and employees’ psychological readiness in supporting digital transformation and improving employee performance. The research employs a Systematic Literature Review (SLR) approach based on PRISMA 2020 guidelines, analyzing 23 selected peer-reviewed articles published between 2021 and 2026. The findings indicate that successful digital transformation is not solely determined by technological advancement but largely influenced by human-centered factors. Adaptive and transformational leadership plays a critical role in fostering trust, reducing resistance, and maintaining employees’ emotional stability during organizational change. Furthermore, an innovative organizational culture, transparent communication, and continuous training significantly enhance employee engagement, adaptability, and performance. Psychological factors such as stress and resistance can either hinder or support change outcomes depending on how they are managed. The study highlights the importance of integrating technological, structural, and human aspects to achieve sustainable organizational transformation. The implications suggest that organizations should prioritize human-centered change strategies, strengthen digital literacy, and promote adaptive leadership to remain competitive in the Society 5.0 era.

Health-related SMEs in Indonesia have significant opportunities to enter international markets, but many businesses still face limitations in digital capabilities, innovation, and readiness for external markets. This study aims to examine the influence of digital transformation on the success of health-related SMEs in going international, both directly and through business innovation as a mediator. The study employs a quantitative approach using a cross-sectional survey design involving 200 owners or key managers of SMEs in East Java, selected via purposive sampling. Data were analysed using Structural Equation Modelling-Partial Least Squares (SEM-PLS). The results indicate that digital transformation has a positive influence on business innovation and the success of going international. Business innovation also has a positive effect on internationalisation success and mediates the relationship between digital transformation and external market success. These findings confirm that digitalisation should not merely be understood as an operational tool, but as a strategic capability that must be integrated with product, process, marketing, and business model innovation. The research implications emphasise the importance of strengthening digital capabilities and business innovation to enhance the global competitiveness of Indonesian health-related SMEs

The study of power in higher education institutions is important because power dynamics influence not only formal organizational systems but also informal relationships within academic communities. This research aims to analyze patterns of power manifestation in higher education institutions, understand their influence on organizational behavior, and identify the structural and cultural aspects involved in the process. The method applied in this study is a Systematic Literature Review (SLR), conducted through collecting, reviewing, and synthesizing various relevant literature related to power and governance in higher education. The findings indicate that pro-social manifestations of power and structural empowerment can positively contribute to job satisfaction and create a healthier and more conducive academic climate. On the other hand, centralized authority and unequal power relations may generate various negative impacts on organizations, such as reduced participation and institutional effectiveness. Therefore, higher education institutions need to implement a more participatory and adaptive governance model to minimize the negative effects of power asymmetry while strengthening collaboration, inclusiveness, and the overall quality of the academic environment.

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.

The Free Nutritious Meal (MBG) program is one of the Indonesian government’s strategic initiatives aimed at improving the nutritional status of school-aged children. The success of this program is influenced not only by food availability but also by students' knowledge and attitudes toward nutrition. This study aims to analyze the influence of students’ nutritional knowledge and attitudes on their readiness to support the MBG program. This research employed a quantitative approach with an explanatory design. Data were collected using questionnaires distributed to students at SD Negeri 6 Sawa, North Konawe Regency. The analysis was conducted using Structural Equation Modeling Partial Least Squares (SEM-PLS). The results show that nutritional knowledge has a significant effect on students’ attitudes. Furthermore, students’ attitudes significantly influence readiness to support the MBG program. However, the direct effect of nutritional knowledge on readiness was not statistically significant. These findings indicate that attitude plays an important role in mediating the relationship between knowledge and readiness to support the MBG program. Therefore, nutrition education is essential to strengthen students’ attitudes and support the successful implementation of the MBG program.

This study analyzes the strategic role of non-governmental organizations (NGOs) in managing Indochinese refugees namely from Vietnam, Cambodia, and Laos on Galang Island during the period 1979–1996. The “boat people” crisis at that time required a multisectoral response that was not only emergency-based but also sustainable, linking Indonesia’s transit policies with applicable international protection standards. Using a literature review method of international journal articles and program technical documents, this study finds that NGOs performed crucial functions beyond mere logistical assistance, particularly through structured educational planning such as the Overseas Refugee Training Program (ORTP). Recent literature indicates that NGO consortia such as SCF and EIL, along with faith-based organizations such as JRS, YCK, and ICMC, played a significant role in fostering refugee self-reliance through cultural orientation curricula and work simulation programs (Work Orientation). Despite various structural challenges and resource limitations, the experience on Galang Island demonstrates the effectiveness of partnerships between NGOs and the government in supporting adaptive and sustainable regional humanitarian diplomacy.

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 rapid evolution of digital technologies has fundamentally reshaped tax administration systems, particularly for Micro, Small, and Medium Enterprises (MSMEs), which constitute a critical driver of economic development yet continue to demonstrate suboptimal levels of tax compliance. This study aims to critically examine the role of Application Programming Interface (API)-based tax automation in enhancing MSME tax compliance through a systematic narrative literature review approach. Employing a qualitative design, this study synthesizes recent scholarly works published within the last five years to identify patterns, relationships, and emerging trends in digital taxation practices. The findings indicate that API-based automation significantly improves administrative efficiency, minimizes human error, and facilitates real-time data integration between taxpayer systems and tax authorities. Moreover, such integration enhances transparency and reduces compliance costs, thereby fostering voluntary compliance behavior among MSMEs. Nevertheless, the effectiveness of this technological intervention is contingent upon several structural and behavioral factors, including digital literacy, technological readiness, and the availability of reliable digital infrastructure. Persistent disparities in these areas may constrain the scalability and inclusiveness of API implementation. This study underscores that API-based tax automation represents a transformative policy instrument in modernizing tax administration systems, provided it is supported by coherent regulatory frameworks, capacity-building initiatives, and equitable infrastructure development. The findings contribute to the broader discourse on digital taxation by offering a conceptual foundation for developing adaptive and sustainable compliance strategies in the era of economic digitalization

This study aims to analyze the short story “Siapakah Keluarga dari Tubuh yang Kacau Itu?” by Radja Sinaga using structural and moral approaches in order to obtain a comprehensive understanding of its content and meaning. The structural approach is employed to examine intrinsic elements, including theme, characters and characterization, plot, setting, point of view, language style, and message. Meanwhile, the moral approach is used to reveal the ethical values and life lessons contained in the short story. This study applies a descriptive qualitative method, with data collected through library research by means of intensive reading and systematic note-taking of the text. The results show that the short story demonstrates a strong structural unity, with the main theme focusing on human suffering caused by war and the loss of family. In addition, several moral values are identified, such as humanity, familial love, criticism of violence, loss of identity, and resilience in facing suffering. The use of the second-person point of view also strengthens the reader’s emotional engagement with the story. Therefore, the combination of structural and moral approaches provides a deeper understanding of the meaning of the short story and its relevance to real-life contexts. This study is expected to enrich literary studies and enhance readers’ appreciation of literary works.