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Green innovation has become a crucial approach to addressing sustainability challenges within global economic and environmental contexts. This study maps the development of green innovation research through a bibliometric analysis using data from the Scopus database covering the period 2021–2024. Bibliometric techniques were applied with VOSviewer and R Studio to examine publication trends, citation patterns, author collaboration, and keyword networks. The results show a significant growth of publications in the last five years, with major themes focusing on sustainable development, environmental technology, and economic implications of green innovation, while leading contributions come from China. Influential journals in innovation and environmental management are identified as key publication outlets, and keyword analysis reveals the integration of green innovation into sustainability strategies and economic policy discussions. This study contributes to a clearer understanding of the intellectual structure and emerging directions of green innovation research, offering insights for scholars, business practitioners, and policymakers in advancing sustainable innovation practices.

Public complaint services are an essential part of public service delivery in supporting the government’s rapid response to various social issues and emergency situations. In West Tanjung Jabung Regency, public complaint services are provided through the HALO USTAD 112 Call Center managed by the Department of Communication and Informatics. However, the existing service still faces several limitations, including the lack of optimal integration in complaint data management, inadequate documentation of reports based on regional classifications, and limited capabilities in storing and retrieving complaint data. This study aims to optimize the HALO USTAD 112 Call Center service through the design of a mobile-based public complaint information system, so that the processes of receiving, managing, and monitoring reports can be carried out more effectively and in a structured manner. The system development applies the Waterfall method, which consists of requirement analysis, system design, implementation, and testing stages. The designed information system includes key features such as user and admin login, complaint submission, report management and verification, report monitoring, statistical visualization of complaint data, and regional-based report recapitulation. The application is developed using the Flutter framework with the Dart programming language, while Supabase is utilized as the backend integrated with a PostgreSQL database. The results of this study are in the form of a system design and prototype that are expected to improve the quality of public complaint services and support more accurate, integrated, and efficient data management.

Injustice against women in contemporary Islamic law practice is still a serious problem, especially in cases of divorce, child custody, and the division of common property, which are often decided textually without considering the social, economic, and psychological aspects of women. This phenomenon shows that the application of Islamic law is still normative and does not fully reflect substantive justice as the purpose of maqāṣid al-syarī'ah. This research aims to analyze the nature of justice for women in the modern era, identify the steps needed to realize this justice, and formulate Islamic legal solutions based on maqāṣid al-syarī'ah that can be applied contextually in the religious justice system. The research method used is qualitative with a normative-empirical approach through literature analysis, case studies, and empirical data from religious court decisions and reports of official institutions such as Komnas Perempuan. The results of the study show that justice for women can only be achieved through a dynamic maqāṣid approach, by placing the interests of women and children above the legal-formalities of classical fiqh. The efforts needed include the integration of empirical data in judges' decisions, reform of religious justice policies, increasing the capacity of judges in understanding maqāṣid, and empowering women through legal literacy.

This study aims to explore the contribution of Christian Religious Education in developing the character of people with disabilities, grounded in Jean Vanier’s perspective on inclusive community and human dignity. People with disabilities are often marginalized due to persistent social stigma, which limits their access to education, meaningful participation, and employment opportunities, particularly within faith-based educational contexts. Employing a qualitative research approach through an in-depth literature review, this study examines key concepts in Christian Religious Education, the characteristics and lived experiences of individuals with disabilities, and the challenges and strategies associated with inclusive educational practices. The findings indicate that Christian Religious Education can function as an effective empowerment framework by integrating spiritual formation with the development of social skills, self-confidence, and communal belonging. Based on Jean Vanier’s inclusive vision, the study highlights practical implications for local churches, Christian schools, and faith-based communities, such as fostering inclusive learning environments, implementing participatory pedagogical models, and strengthening community-based support systems for people with disabilities.Furthermore, reducing social stigma through value-based education and community engagement emerges as a critical strategy to enhance educational participation and social integration. These findings contribute to the discourse on inclusive Christian education and offer contextual strategies applicable to local academic and ecclesial settings in promoting the dignity and empowerment of people with disabilities.

The rapid development of the Internet of Vehicles (IoV) has introduced new security challenges, particularly in protecting Controller Area Network (CAN Bus) communications from cyberattacks such as Denial of Service (DoS) and spoofing attacks. This study proposes the implementation of the Extreme Gradient Boosting (XGBoost) algorithm combined with Information Gain feature selection to improve intrusion detection performance in IoV environments. The CICIoV2024 dataset, which represents both benign and malicious traffic, is used as the primary data source. The research process includes data integration, preprocessing, feature selection, data splitting, and model training using a 5-fold cross-validation approach. Experimental results demonstrate that the proposed model achieves outstanding performance, with accuracy, precision, recall, and F1-score exceeding 99.99%, and an Area Under Curve (AUC) value approaching 1.00. Furthermore, Information Gain successfully identifies the most influential CAN payload features, enhancing model efficiency without sacrificing accuracy. These findings confirm that the combination of Information Gain and XGBoost is highly effective for developing a fast, accurate, and efficient intrusion detection system in IoV networks.

Public service reform in Indonesia increasingly emphasizes inter-agency collaboration as a mechanism to enhance administrative efficiency, service integration, and responsiveness to citizens’ needs; however, in many regions, including West Kotawaringin Regency, collaborative practices remain fragmented due to uneven human resource (HR) capacities, inconsistencies in standard operating procedures (SOPs), and limited technological integration across institutions. This study aims to examine the current state of HR collaboration, identify key barriers and enabling factors, and propose an integrated and adaptive HR collaboration model to strengthen public service delivery. Using a qualitative multi-case study approach, data were collected through semi-structured interviews with leaders and operational staff from multiple regional government agencies and analyzed using NVivo 15 to generate thematic coding and visual tools such as word clouds, hierarchy charts, and project maps. The findings indicate that current collaboration is largely transactional and administrative, exemplified by the physical co-location of agencies at the Public Service Mall (MPP) without effective systemic interoperability. Three critical themes emerged: gaps in HR distribution, competencies, and role clarity; structural and behavioral constraints including sectoral ego, SOP discrepancies, and limited digital integration; and opportunities to enhance collaboration through shared digital dashboards, inter-agency forums, and cross-functional HR mobility. Based on these results, the study proposes a three-pillar Integrated and Adaptive HR Collaboration Model comprising comprehensive digital integration, flexible HR competency sharing, and inclusive service co-creation involving community stakeholders, offering both theoretical contributions to collaborative governance and practical guidance for regional governments seeking to improve public service effectiveness.

Advances in digital technology have led to significant transformations in management accounting practices, particularly with the use of cloud accounting, big data analytics, artificial intelligence (AI), and digital-based management accounting information systems. These changes have resulted in a shift in the function of management accounting from merely a documentation tool to a strategic decision support system that provides information quickly, accurately, and in real time. This study aims to analyze the implementation of management accounting in the digital business era, identify the obstacles faced by organizations in the digitization process, and explain the opportunities that can be utilized to improve the efficiency of financial management systems. The research method applies a qualitative approach by conducting a literature study that reviews a number of journals, books, and scientific documents related to the topic. The research findings indicate that digitization has a positive impact on operational efficiency, clarity of information, and the quality of managerial decision-making. However, organizations still encounter various challenges, such as low human resource technological capabilities, complexity in system integration, and increased threats to data security. This study concludes that the implementation of digital management accounting is a strategic necessity for companies in the modern business era, requiring technological readiness, increased human resource capacity, and internal policies that support a complete digital transformation process.  

The rapid development of artificial intelligence, particularly ChatGPT, has created new opportunities to support students’ academic activities in higher education. However, its utilization needs to be evaluated in terms of the alignment between academic task characteristics and technological capabilities to ensure optimal outcomes. This study aims to examine the feasibility of using ChatGPT in students’ academic activities by applying the Task–Technology Fit (TTF) model. This research employed a quantitative approach using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). Data were collected through questionnaires distributed to university students and analyzed using SmartPLS 4 software. The variables examined included Task Characteristics, Technology Characteristics, Task–Technology Fit, Performance Impact, and Utilization. The results indicate that Task Characteristics and Technology Characteristics have a positive and significant effect on Task–Technology Fit. Furthermore, Task–Technology Fit significantly influences Performance Impact and Utilization. Performance Impact also shows a positive and significant effect on the utilization of ChatGPT by students. These findings suggest that the alignment between academic task requirements and the capabilities of ChatGPT plays a crucial role in improving students’ performance and encouraging sustained technology use. The implications of this study highlight the importance of selective and purposeful use of ChatGPT in higher education and provide a reference for higher education institutions in formulating policies related to the ethical and effective integration of artificial intelligence technologies as learning support tools.

SMP Negeri 5 Merlung is a public junior high school in Merlung Subdistrict that has utilized the DAPODIK system for online data processing management, enabling efficient sending and receiving of information to the government. This research analyzes IT governance on the DAPODIK system using the COBIT 5 framework, specifically the MEA01 domain (Monitor, Evaluate and Assess Performance and Conformance), which focuses on monitoring and evaluating performance and conformance. The research background is based on the need to maximize the utilization of the system at the school level. The main objectives are to determine the current and expected capability levels, as well as to provide improvement recommendations to achieve higher process maturity. The research method applies Assessment Process Activities, covering observation, interviews, identification of findings, gap analysis, and recommendations. The results show that the current capability level is at level 3 (established process), while the expected capability level is directed toward level 4 (predictable process). The implications of these findings provide practical recommendations such as routine monitoring enhancements, staff training, and integration of automation tools to bridge the capability gap, thereby improving the effectiveness of IT governance at SMP Negeri 5 Merlung sustainably.

The use of protective equipment in the form of helmets is an important aspect of ensuring motorcycle rider safety. However, violations of helmet usage still frequently occur and are difficult to monitor continuously. This study proposes a real-time helmet detection system using the YOLOv8 object detection method. The YOLOv8n model was trained using a helmet and no-helmet image dataset that underwent data augmentation to improve the model’s robustness against variations in environmental conditions. The system was implemented using the Python programming language with the support of the Ultralytics and OpenCV libraries. The system input was obtained from a webcam with a resolution of 640×640 pixels, where each video frame was processed in real time to detect the Helmet and No Helmet classes. The system displays bounding boxes and class labels in real time and is equipped with a violation duration calculation mechanism. When a no-helmet condition is detected continuously, the system generates pop-up alerts and automatic notifications via the Telegram application. The experimental results show that the system is capable of detecting helmet usage and no-helmet violations in real time with stable performance. The integration of violation duration calculation helps reduce momentary detection errors and improves the reliability of identifying valid violations

The interval between 2018 and 2025 represents a defining epoch in financial assurance, characterized by a systemic collision between traditional audit methodologies and the exponential sophistication of fraudulent actors. This research employs a comprehensive library research methodology, utilizing Systematic Literature Review (SLR) to evaluate the evolving landscape of audit and fraud. The study traces the theoretical migration from Cressey’s Fraud Triangle to multidimensional frameworks like the Fraud Pentagon, which emphasizes the roles of arrogance and competence. Through a forensic examination of catastrophic audit failures including Wirecard, FTX, and the emerging risks of crypto-assets, the research identifies recurring patterns of auditor failure in assessing operational risks and internal controls. Furthermore, the report analyzes the dual-edged impact of Artificial Intelligence (AI); while machine learning algorithms offer enhanced detection capabilities, the rise of Generative AI (GenAI) and deepfake technology has empowered perpetrators to execute sophisticated "synthetic reality" frauds. The study critically evaluates regulatory responses, particularly the revision of International Standard on Auditing (ISA) 240, which mandates a more proactive "fraud lens." The findings suggest that the auditing profession faces an existential crisis of relevance, necessitating a fundamental shift toward a forensic mindset supported by advanced technological integration.

This study aims to explore the philosophy of Islamic education grounded in tolerance by revisiting the influential ideas of Gus Dur and assessing their significance for the younger generation in contemporary society. Adopting a qualitative descriptive approach through document analysis, in-depth interviews, and thematic interpretation, the research highlights that values such as tolerance, humanism, intellectual freedom, and respect for diversity are essential foundations for shaping modern Islamic education. The findings indicate that incorporating these principles into educational curricula not only enriches the learning experience but also strengthens inclusive and participatory teaching practices, fostering an environment that encourages open dialogue, mutual understanding, and moderation. Furthermore, the study emphasizes that systematic integration of Gus Dur’s educational philosophy can contribute to the development of students’ critical thinking, ethical awareness, and social responsibility, ensuring that Islamic education remains relevant and responsive to contemporary societal challenges. Overall, the research concludes that implementing these values consistently is crucial for advancing a modern, tolerant, and pluralistic approach to Islamic education that benefits both individuals and society as a whole.

The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is accelerating and reshaping how organizations attract, develop, manage, and retain talent. Despite abundant case examples and growing practitioner interest, academic findings remain fragmented regarding the antecedents (drivers), impediments (barriers), and organizational effects (outcomes) of AI-based HR transformation. This paper presents a PRISMA-guided systematic literature review of 112 peer-reviewed articles (2015–2025) to synthesize empirical and conceptual evidence on AI in HRM. Results identify three primary drivers: technological capability, strategic alignment, and a data-driven culture; three critical barriers: ethical concerns (bias, privacy, and transparency), skill and capability gaps, and resistance to change; and three outcome clusters: operational efficiency, enhanced employee experience, and elevated strategic HR contribution. We propose a socio-technical conceptual framework that models drivers moderated by barriers to outcomes, and we advance a research agenda focused on ethical governance, human–AI collaboration, capability measurement, and longitudinal evaluation. The review contributes to theory by integrating socio-technical and dynamic capability  perspectives and provides actionable guidance for HR leaders on responsible AI adoption.

This study explores how the organizational culture of Sanggar Kartika Budaya strengthens local artistic values through identity building, leadership, training strategies, and adaptive creativity. Rooted in a commitment to traditional arts, the sanggar positions local cultural expression not only as heritage but also as a living space for innovation. The research aims to uncover how these cultural elements shape member behavior, sustain artistic traditions, and support the regeneration of young artists. Using a qualitative approach with document analysis, this study examines official profiles, program descriptions, and relevant scholarly sources. The findings reveal that the sanggar’s cultural identity centered on the motto “Pegang Teguh Seni Tradisi Siap Berkreasi”serves as the backbone of its learning system and creative ecosystem. Leadership plays a central role in directing artistic vision while safeguarding cultural authenticity. Structured training, literacy activities, and collaborative performances effectively embed traditional values in new members. The sanggar also demonstrates an ability to evolve with modern trends through creative choreography, multimedia integration, and active participation in contemporary festivals, all while maintaining strong roots in local heritage. These findings highlight how a well-structured organizational culture can act as a powerful engine for cultural preservation and artistic resilience. The implications suggest that cultural institutions can remain relevant in a fast-changing era by blending heritage with innovation, ensuring that tradition continues to live meaningfully in the hands of future generations.

This study used a qualitative approach with a Systematic Literature Review (SLR) as the data collection technique. This study examined the institutional factors causing long dwelling times at Tanjung Emas Port and mitigation efforts. The analysis revealed that the main root of the problem lies in the lengthy administrative and goods inspection (customs) processes, particularly in the red, yellow, and green inspection lanes. Obstacles include the lack of data integration (such as PIB and SPPB dates) between the Semarang Container Terminal (TPKS) and Customs, as well as incomplete documents by service users. A significant impact was felt on imports, where dwelling times were longer due to complicated quarantine and customs inspections, while exports were relatively unaffected.

Quality management and Total Quality Management (TQM) have become critical issues in both education and industry because they are directly related to service quality, process efficiency, and customer satisfaction. The rise of global competition demands organizations to implement a quality system that not only focuses on technical standards, but also integrates a comprehensive quality culture. This article aims to answer the research question regarding how the application of quality standards and TQM affects the quality of organizational management and the benefits produced for both academics and practitioners. The research method uses a qualitative approach with a literature review (LR) model. Data were obtained from 20 scientific articles published between 2020 and 2025 through Google Scholar and Publish or Perish (PoP) using the keywords “quality management, standard, benefits, TQM.” After the screening process, five articles were selected for in-depth analysis. The results of the analysis reveal three main findings: (1) quality standards serve as a fundamental basis for maintaining quality consistency, (2) the implementation of TQM is proven to be flexible and applicable across various sectors, and (3) the benefits of TQM include improved service quality, process efficiency, and customer satisfaction. The conclusion of this synthesis highlights that the application of TQM is not merely a technical strategy, but also shapes a sustainable organizational culture. Future studies should further explore the integration of TQM within the context of digitalization and educational innovation.

: The rapid expansion of cybersecurity standards and threat intelligence frameworks has led to significant semantic fragmentation among security terminologies, hindering effective information retrieval and interoperability across systems. Traditional keyword-based search approaches are inadequate for capturing the contextual meaning of security terms, particularly within formal frameworks such as NIST, MITRE ATT&CK, and CWE. This study addresses this challenge by proposing CyberBERT, a transformer-based semantic search framework designed to align cybersecurity terminologies through deep contextual representation and ontology-driven reasoning. Research Objectives: The primary objective of this research is to develop a semantic retrieval model capable of understanding conceptual relationships between security terms beyond lexical similarity. Methodology: The proposed methodology fine-tunes a BERT-based model on the NIST Glossary corpus using a combination of masked language modeling and triplet loss objectives to generate discriminative semantic embeddings. These embeddings are further aligned with cybersecurity ontologies, including MITRE ATT&CK and CWE, to enhance semantic consistency and explainability. Semantic retrieval is performed using cosine similarity within a 768-dimensional embedding space and evaluated using Mean Reciprocal Rank (MRR) and Precision@K metrics. Results: Experimental results demonstrate that CyberBERT achieves an MRR of 0.832, outperforming domain-adapted baselines such as SecureBERT and CyBERT. The integration of ontology alignment improves semantic accuracy by over 6%, while robustness evaluations confirm resilience against adversarial linguistic perturbations. Visualization using t-SNE reveals coherent semantic clustering aligned with the five core NIST Cybersecurity Framework functions. Conclusions: In conclusion, CyberBERT effectively bridges semantic gaps across cybersecurity terminologies by combining transformer-based contextual learning with ontological reasoning. The framework offers a robust, interpretable, and scalable solution for semantic search, supporting improved interoperability and knowledge discovery in cybersecurity operations and standards harmonization.

This research examines the strengthening of inter-agency collaboration through an integrated implementation model in the social rehabilitation program for people with physical disabilities at UPT Bina Daksa Pasuruan, East Java, Indonesia. The social rehabilitation program for persons with disabilities faces significant challenges in coordination, resource allocation, and service integration among multiple stakeholders, including government agencies, non-governmental organisations, and community groups. This study employs a qualitative case study design, using in-depth interviews, focus group discussions, and document analysis to collect data from program implementers, beneficiaries, and related stakeholders. The findings reveal that effective inter-agency collaboration requires five key elements: shared vision and goals, clear communication channels, adequate mechanisms for resource sharing, strong leadership commitment, and continuous monitoring and evaluation systems. The integrated implementation model developed in this study emphasises horizontal and vertical coordination, participatory planning, capacity building initiatives, and community empowerment strategies. The results demonstrate that strengthening inter-agency collaboration through this integrated model significantly improves program effectiveness, service quality, and beneficiary satisfaction. This research contributes to the theoretical understanding of collaborative governance in disability services and provides practical recommendations for policymakers and practitioners in developing countries

The era of globalization demands that education systems produce human resources who are skilled, adaptable, and capable of competing in the international job market. However, several issues arise in efforts to prepare graduates who are well aligned with industry requirements. These challenges include the mismatch between competencies taught in educational institutions and those required by the workforce, limited digital literacy and technological mastery, the lack of soft skills development, and insufficient collaboration between schools and industries. Rapid technological advancements often result in curricula that lag behind the current skill demands of the labor market. Moreover, many students still lack the mindset, creativity, and adaptability needed to face global competition. This literature-based study aims to identify the main educational problems in preparing human resources for the world of work and propose strategic directions for improvement. Findings highlight the necessity of competency-based curriculum transformation, enhanced vocational training, integration of technology-based learning, and stronger partnerships between education providers and industry sectors. Enhancing teacher quality is also crucial to ensure learning processes remain relevant to global demands. By optimizing the roles of all stakeholders, education can produce graduates who possess not only technical expertise but also essential 21st-century skills such as communication, collaboration, problem-solving, and leadership. Therefore, education becomes the primary foundation for preparing a generation capable of competing globally and contributing to national development.

Training on creating Heyzine-Canva-based e-book learning media through the Subject Teacher Working Group (MGMP) aims to improve teachers' professional competence in facing educational demands and digital technology integration. This training activity is designed using demonstration, hands-on practice, and group discussion methods, so that it can accommodate various levels of technology mastery among teachers. Through this training, teachers are guided to develop interactive e-books, learning videos, and innovative digital quizzes using the Heyzine and Canva platforms. The training results show a significant improvement in teachers' skills in utilizing digital media, confidence in integrating technology into learning, and motivation to continue innovating. Additionally, this training also encourages collaboration among teachers and builds a professional network that supports continuous development. Challenges faced, such as variations in technology skills and device limitations, are addressed through ongoing mentoring and further training. This training contributes to improving the quality of learning, student engagement, and supports the achievement of national education goals in the digital era.