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Usability evaluation plays a crucial role in ensuring the quality of digital systems, particularly in terms of comfort, effectiveness, and ease of use. Instruments such as the System Usability Scale (SUS), User Experience Questionnaire (UEQ), and Heuristic Evaluation (HE) are widely used in modern usability studies. This research conducts a Systematic Literature Review (SLR) to identify patterns and trends in the use of these instruments. A total of 27 initial studies were collected, and 16 were selected through the PRISMA screening procedure. The findings show that UEQ is the most frequently used instrument, especially in Learning Management Systems (LMS) and academic platforms, while SUS is commonly applied to mobile applications and digital libraries for rapid usability assessment. HE is effective in revealing fundamental interface issues such as non-intuitive navigation and layout inconsistencies. Overall, digital systems perform well in Efficiency and Perspicuity, but consistently show low scores in Novelty. This study provides an integrative knowledge map that highlights cross-instrument insights and supports the development of more intuitive, innovative, and user-centered digital systems

This study examines the urgency of foreign nationals' (WNA) legal status and visa compliance in the vehicle rental business in Bali, as well as its impact on business disputes involving local entrepreneurs. The increasing number of international tourists visiting Bali has spurred the growth of vehicle rental services, yet it has also given rise to illegal practices by foreign nationals such as misuse of tourist visas for commercial purposes, tax evasion, and unfair business competition. This research adopts a normative juridical method using statute, conceptual, and case approaches, referring to key legal documents including Law No. 6 of 2011 on Immigration, Law No. 6 of 2023 on Manpower, Ministerial Regulation No. 21 of 2016, and Bali Regional Regulation No. 5 of 2016 on Tour Guiding. The findings highlight the vulnerability of rental contracts under Article 1548 of the Indonesian Civil Code, risks of breach of contract, and widespread violations of the Electronic Traffic Law Enforcement (ETLE) system, the penalties of which are imposed on rental owners. Nationality disparities and weak immigration oversight further undermine the effectiveness of law enforcement. This study concludes that legal protection for local business actors relies heavily on the legal clarity of WNA status, the appropriateness of 1 visa categories, and strong inter-agency coordination. The novelty of this research lies in integrating legal analysis of WNA legitimacy with a dispute resolution framework specific to the vehicle rental sector in Bali’s tourism landscape a perspective that has been largely overlooked in prior studies. The recommendations include strengthening rental contracts, enhancing coordinated supervisory mechanisms, and harmonizing civil and criminal law to establish a stronger deterrent effect.

Rapid urban growth is often linked to the narrative of sustainable development, yet the reality is that fundamental issues remain in the management of urban waste. This paper aims to examine the gap between the concept of a sustainable city and sub-optimal waste management practices. Through a normative legal approach involving an analysis of legislation and relevant literature, it has been found that the implementation of waste management policies continues to face various challenges, such as weak law enforcement, a lack of policy integration, and low levels of public participation. On the other hand, the use of the label ‘sustainable city’ tends to be symbolic and does not yet reflect comprehensive practices. This paper positions the issue of waste as a key indicator in assessing urban sustainability. The novelty of this study lies in its critical approach, which links the discourse on sustainability with the contextual realities of waste management, thereby offering a more reflective and distinct perspective from previous studies.

The swift proliferation of short-video-centric social media, notably TikTok, has revolutionized the educational landscape by facilitating novel methods of knowledge production, dissemination, and interpretation. This phenomenon denotes a transition in media and signifies an epistemological transformation in educational practices within the digital age. This study seeks to analyze the representation and interpretation of knowledge in TikTok educational content using a qualitative methodology grounded in an interpretive case study framework. Data were gathered via digital participant observation, comprehensive interviews, and document analysis involving 12 participants, comprising educational content creators and active TikTok users in higher education settings. Thematic data analysis was performed utilizing a Multimodal Critical Discourse Analysis framework to elucidate the interplay among visual, verbal, and auditory components in the construction of meaning. The results show three main patterns: the conflict between quick understanding and deep knowledge, the importance of emotional multimodal experiences in learning, and the negotiation of knowledge authority in changing digital spaces. These results indicate that learning via TikTok encompasses not only cognitive aspects but also intricate emotional, aesthetic, and social dimensions. This study theoretically enhances multimodal discourse analysis by integrating users' subjective experiences, while practically informing the advancement of critical digital literacy and the design of social media-based learning. Moreover, this study facilitates additional investigation into algorithmic dynamics, digital identity, and the evolution of learning methodologies within platform-centric contexts.

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 aims to analyze the strategies employed by madrasah principals to enhance teacher professionalism through the implementation of managerial functions, academic supervision, entrepreneurship, and socio-spiritual leadership at MAN 1 Bandung and MAN 2 Bandung. The study employs a qualitative approach using a descriptive case study method. Data collection techniques included in-depth interviews, participatory observation, and document analysis, while data analysis was conducted using the Miles and Huberman model through the stages of data reduction, data presentation, and drawing conclusions. The research findings indicate that strategies for enhancing teacher professionalism begin with needs-based planning, followed by strengthening clinical academic supervision, fostering a collaborative and innovative work culture, and implementing continuous evaluation. The implementation of these strategies has a positive impact on improving teachers’ pedagogical and professional competencies, work discipline, and the quality of learning. The novelty of this research lies in the discovery of the “Resilient Professionalism” model a model of teacher professionalism that emphasizes resilience and adaptability to changes in curriculum, technology, and educational dynamics. This model is built through the synergy of the spiritual-managerial leadership of the madrasah principal and the collective efficacy of teachers to achieve sustainable quality in Islamic education.

This study aims to analyze the novel Laskar Pelangi by Andrea Hirata using a critical hermeneutic approach developed by Jürgen Habermas. The focus of this research is to uncover the critical meaning contained in the novel as a reflection of social reality, especially in the field of education. The method used is descriptive qualitative research with data collection techniques through literature studies and text analysis in the form of excerpts in novels. The results of the study show that the novel Laskar Pelangi not only presents an inspiring story, but also contains criticism of the education system in Indonesia which is still colored by inequality and injustice. In the aspect of communicative action, it was found that there was a dialogical interaction between teachers and students as well as the value of solidarity and strong struggle. However, in the aspect of communication distortion, there is injustice in access to education and a lack of space for poor groups to voice their interests. In addition, the analysis also reveals the existence of ideology and domination, especially economic dominance over education and social systems that oppress the lower groups. On the other hand, the emancipatory interest in this novel is reflected through education as a tool of liberation and the struggle of its characters in fighting against limitations. Thus, this study concludes that the novel Laskar Pelangi has an important role as a social criticism medium that is able to build readers' critical awareness of the reality of education and social inequality that occurs in society.

The creation of institutional signature music is typically understood as a technical compositional process intended to accompany a performance. This study aims to elucidate how the music of the Rene Hu dance is constructed as a medium for representing institutional identity through the integration of local wisdom and organizational values. Utilizing an artistic autoethnographic approach, this research positions the creative experience of the composer as a reflective data source analyzed through both thematic and conceptual lenses. The findings indicate that the composition of Rene Hu music emerges from the interaction of cultural, ecological, and institutional dimensions, all mediated by the composer’s reflection as a strategic agent. The integration of Sentani traditions, the soundscape of Mount Cycloop, and digital technology forms a sonoric identity that represents both cultural legitimacy and the vision of the Papua Province Language Center. This study formulates the Reflective Sonoric Cultural Strategy Model, which explains the mechanisms of identity negotiation within the composition of such signature music. The novelty of this research lies in its conceptualization of institutional music as an arena for identity negotiation analyzed through the composer’s creative journey. This research offers a conceptual framework applicable to the creation of similar representational musical works.

This study examines the effectiveness of public service management in Ponorogo Regency's transport sector, focusing on the performance gap between traffic asset conditions (signs, traffic lights) and formal maintenance policies. This gap indicates a non-proactive maintenance cycle, exacerbated by limited resources and low organisational responsiveness to public complaints. Employing a qualitative case study grounded in a synthesis of Edwards III's Policy Implementation Theory and the New Public Service (NPS) perspective, the core findings confirm that frontline officials' low proactive disposition mediates policy implementation failure. Instead of proactive responsiveness (anticipating minor damage), officials often exhibit passive responsiveness (acting only after major incidents or reports), leading to a critical breakdown in which administrative procedures are completed but the public outcome remains poor. The novelty of this research lies in proposing a Proactive and Participatory Governance Model. This model necessitates the institutionalisation of Public Involvement (Participation) to enhance transparency and shift asset performance evaluation from output-oriented to outcome-oriented. The study concludes that the optimal model for the Ponorogo Transportation Department is the synergy between agile asset management and NPS principles (proactive and participatory) to enhance public service effectiveness.

This study investigates the factors influencing export performance in five ASEAN countries Indonesia, Malaysia, the Philippines, Singapore, and Thailand during the 2014-2023 period. The topic is highly relevant given the vital role of exports in sustaining monetary stability and promoting long-term economic growth. The novelty of this research lies in its integrated approach, which simultaneously examines key export-related macroeconomic variables, namely foreign direct investment and inflation, while incorporating foreign exchange reserves as a moderating variable an approach that remains limited in existing ASEAN-focused studies. This analysis uses secondary data obtained from the World Bank and processed using panel data regression methods, including the Common Effect Model, Fixed Effect Model, and Random Effect Model, strengthened by a Moderated Regression Analysis (MRA) approach. The results show that foreign direct investment and inflation significantly influence foreign exchange reserves. Furthermore, foreign exchange reserves have been shown to play a strategic role in strengthening the economic resilience of ASEAN countries and can be used as a reference in formulating monetary and international trade policies.

This study investigates the factors influencing export performance in five ASEAN countries Indonesia, Malaysia, the Philippines, Singapore, and Thailand during the 2014-2023 period. The topic is highly relevant given the vital role of exports in sustaining monetary stability and promoting long-term economic growth. The novelty of this research lies in its integrated approach, which simultaneously examines key export-related macroeconomic variables, namely foreign direct investment and inflation, while incorporating foreign exchange reserves as a moderating variable an approach that remains limited in existing ASEAN-focused studies. This analysis uses secondary data obtained from the World Bank and processed using panel data regression methods, including the Common Effect Model, Fixed Effect Model, and Random Effect Model, strengthened by a Moderated Regression Analysis (MRA) approach. The results show that foreign direct investment and inflation significantly influence foreign exchange reserves. Furthermore, foreign exchange reserves have been shown to play a strategic role in strengthening the economic resilience of ASEAN countries and can be used as a reference in formulating monetary and international trade policies.

This meta-review evaluates the effectiveness of diverse mental health programs targeting Syrian refugees in Turkey over the period 2015-2023 through a systematic synthesis of 47 studies involving a total of 12,847 participants. Meta-regression results demonstrate a statistically significant reduction in Post-Traumatic Stress Disorder symptoms, with a large effect size (d = -0.86, 95% CI [-1.02, -0.70], p < .001), as well as a significant reduction in depressive symptoms (d = -0.72, 95% CI [-0.88, -0.56], p < .001) following intervention. Among the therapeutic approaches examined, Cognitive Behavioral Therapy exhibited the strongest therapeutic effect (β = 0.45, p < .001), followed by Eye Movement Desensitization and Reprocessing (β = 0.38, p < .001). Further moderator analysis revealed that group-based interventions were more effective than individual approaches (OR = 1.86, 95% CI [1.42, 2.30]). At the same time, program duration of 12-16 weeks showed a strong correlation with optimal clinical outcomes (r = 0.67, p < .001). These findings extend the results of Acarturk et al. (2022) regarding the effectiveness of CBT and reinforce the argument advanced by Shehadeh et al. (2016) concerning the superiority of group-based approaches, while also indicating a longer optimal intervention duration than previously reported. In contrast to the meta-analysis by Antuña-Camblor & Hernández (2025), which emphasized EMDR, this study identifies CBT as superior to EMDR among Syrian refugees in Turkey. The novelty of this study lies in its comprehensive analysis of program moderator factors and the identification of the most effective intervention duration parameters for the target population.

This study analyzes the strategic role of quality-based marketing models in enhancing the competitiveness of kombucha products, with a specific focus on Rumah SCOBY DBA, produced by the Yayasan Dharma Bintang Akademia. By integrating Total Quality Management (TQM), Quality Assurance (QA), and Quality Control (QC), the research explores how quality-driven frameworks contribute to marketing effectiveness, consumer trust, brand positioning, and sustainable performance in the functional beverage industry. Employing a Systematic Literature Review (SLR) combined with conceptual analysis, the study systematically examined publications from 2015 to 2025 across leading academic databases, focusing on themes of quality management, functional beverage marketing, kombucha production, consumer behavior, and digital strategies. The findings reveal that product quality—characterized by fermentation stability, microbiological safety, and nutritional consistency—serves as the primary driver of consumer purchase intention. Process quality, through standardized SOPs, hygiene protocols, and traceability systems, reinforces credibility, while service quality, including transparent labeling, health education, and digital engagement, strengthens brand trust. Integrating TQM principles into marketing fosters consumer loyalty, differentiates brands in competitive markets, and supports long-term sustainability. This study provides practical guidance for producers, community-based enterprises, and policymakers to adopt quality-driven marketing models, offering a novel conceptual framework tailored to kombucha products and mapping future research directions in functional beverage innovation.

This article aims to describe the forms of danger, identify the causal factors, formulate strategies, and explain the role of parents in creating safe and inclusive parenting for children with disabilities. Children with disabilities are highly vulnerable to various forms of danger, including physical and emotional neglect, due to a lack of parental understanding and strong social stigma. The method used is descriptive qualitative with a literature review approach, analyzing data from books, scientific journals, and official reports. The results indicate that risky parenting is caused by a lack of knowledge, economic pressure, and insufficient support from the environment and Non-Formal Education (NFE) institutions. The key strategy to overcome this is through strengthening parental education (inclusive parenting classes), collaboration between NFE institutions and the community, and creating accessible and secure learning environments. In conclusion, NFE has a strategic role as a bridge for parents to gain knowledge and support, thus strengthening a safe, loving, and difference-appreciating family environment. This research emphasizes the novelty of NFE’s role in integrated family-community support to ensure optimal development for children with disabilities.

This article proposes Marketing 0.0 as a fundamental conceptual repositioning of marketing theory rooted in the Trust Economy framework. Unlike mainstream marketing theory, which positions trust as an outcome of communication, persuasion, or brand reputation, cross-disciplinary studies in economics, sociology, and neuroscience suggest that trust functions as a pre-decisional condition that precedes market exchange. This research employs a conceptual-theoretical methodology, synthesizing transaction cost theory, social capital, neuroeconomics, and contemporary trust literature. The article's primary contribution is formalizing the shift in trust's position from a dependent variable to an ontological gateway in marketing decision-making. Marketing 0.0 is positioned not as a stage in marketing evolution, but rather as a conceptual ground zero that enables continuous tactical adaptation without reliance on pseudo-novelty. The article concludes with theoretical and practical implications for the development of marketing science in an era of uncertainty and information saturation.

This study identified the use of abbreviations in Medical Treatment Consent Forms (SPTK) at X Hospital Indonesia. A quantitative cross-sectional descriptive approach was applied to 76 SPTKs in September 2024, and questionnaires were administered to 30 patient-responsible physicians (DPJP). The results showed that 75% of SPTKs contained abbreviations, even though 97% of respondents understood the risk of miscommunication to patient safety. The state of the art includes accreditation standards that prohibit the use of abbreviations in informed consent, with global orthopedic studies reporting a decrease from 54% to 22% after educational interventions, as well as Indonesian regulations, namely Peraturan Mentri Kesehatan (Permenkes) Republik Indonesia No. 24/2022, which emphasizes that medical records must be complete. The novelty lies in the first empirical analysis in Indonesian hospitals to reveal the disparity between high physician knowledge and low documentation compliance, contributing to the development of evidence-based monitoring for patient safety. These findings support recommendations for daily review of SPTK, ongoing socialization, and integration of digital checklists to reduce medical errors.

This research focuses on the design and evaluation of a novel parallel graph optimization algorithm incorporating dynamic load balancing (DLB) to address inefficiencies in heterogeneous computing environments. Large-scale graph optimization problems, such as those in social networks, bioinformatics, and transportation systems, often suffer from computational imbalances when using traditional static load balancing approaches, leading to underutilized resources and prolonged execution times. The primary objective of this research is to develop an algorithm that can dynamically adjust workload distribution across processors, enhancing computational efficiency and scalability. The proposed method combines heuristic techniques, including region expansion and multilevel partitioning, with diffusive load balancing strategies to minimize inter-processor communication overhead. Experimental results demonstrate that the proposed algorithm reduces execution time by up to 40% compared to static methods, with optimized resource utilization and more balanced workload distribution. The scalability of the algorithm is also evident, as it adapts effectively to increasing problem sizes and processor counts. These findings suggest that dynamic load balancing is crucial for improving parallel graph optimization in real-world applications. Future work will focus on further enhancing the algorithm’s responsiveness to rapidly changing workloads and expanding its applicability to additional domains.

Prompt injection has emerged as a critical security threat for Large Language Models (LLMs), exploiting their inability to separate instructions from data within application contexts reliably. This paper provides a structured review of current attack vectors, including direct and indirect prompt injection, and highlights the limitations of existing defenses, with particular attention to the fragility of Known-Answer Detection (KAD) against adaptive attacks such as DataFlip. To address these gaps, we propose a novel, hybrid, multi-layered detection framework that operates in real-time. The architecture integrates heuristic pre-filtering for rapid elimination of obvious threats, semantic analysis using fine-tuned transformer embeddings for detecting obfuscated prompts, and behavioral pattern recognition to capture subtle manipulations that evade earlier layers. Our hybrid model achieved an accuracy of 0.974, precision of 1.000, recall of 0.950, and an F1 score of 0.974, indicating strong and balanced detection performance. Unlike prior siloed defenses, the framework proposes coverage across input, semantic, and behavioral dimensions. This layered approach offers a resilient and practical defense, advancing the state of security for LLM-integrated applications.

The aim of this research is to develop a new strategic model for Indonesian border defense by recalibrating the Lykke Framework. It assesses the relevance of the traditional ends–ways–means framework in addressing modern border threats and proposes adding a risk pillar to improve adaptability and multi-domain integration. Using a Systematic Literature Review (SLR), the study examines policy developments, defense doctrines, surveillance technologies, and geopolitical dynamics influencing Indonesian border security. Literature was sourced from international and national databases (ScienceDirect, SpringerLink, SINTA, BRIN, etc.) for publications between 2018–2025. The findings reveal that Indonesia's border regions face complex threats such as sovereignty violations, transnational crime, cyberattacks, and ideological penetration. These challenges highlight the inadequacy of the traditional ends–ways–means framework without incorporating a fourth risk pillar. The study introduces the New Lykke Model, which enhances the strategic framework for integrated military management, considering geopolitical, operational, socio-cultural, and environmental risks. This model offers practical guidance to stakeholders like the Indonesian National Armed Forces (TNI), Bakamla, and the National Police (Polri), aiming to improve border security operations and policy planning. The study is among the first to adapt the Lykke Model to Indonesian border defense, incorporating an integrated risk pillar for a more comprehensive security strategy.

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.