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Group-based learning in the classroom plays a vital role in enhancing social interaction, individual responsibility, as well as students' critical thinking and collaborative skills. However, its implementation often faces challenges such as the dominance of certain members, social loafing, low participation, and interpersonal conflicts that hinder group effectiveness. This study aims to comprehensively examine the dynamics of learning groups by integrating four key aspects: the concept of group dynamics based on the Tuckman model, the characteristics of effective groups in cooperative learning, group formation techniques, and conflict management strategies. The research utilizes a qualitative approach with a literature study method, analyzing 25 sources including nationally accredited journals, academic books, and theses published between 2020 and 2024. Data analysis was conducted through reduction, thematic classification, content analysis, and conceptual synthesis. The results indicate that effective group dynamics can be achieved through the Tuckman stages, the application of the five elements of cooperative learning, the selection of appropriate group formation techniques with risk mitigation, and the implementation of the Thomas-Kilmann conflict management styles.The scientific contribution of this research is the development of an integrative model based on these four aspects, which serves as a conceptual framework to strengthen collaborative learning practices in the classroom. Practical implications include the formation of ideal groups consisting of 4–5 students, the establishment of initial group contracts, the use of dual assessment rubrics (individual and group), and peer evaluation mechanisms to enhance accountability and reflection.

Fixed asset management is a crucial component in supporting the performance of local governments. However, the Polewali Mandar Regency Government still faces obstacles in managing assets conventionally, such as the risk of recording errors, duplicate data, and difficulties in field data verification which is time-consuming. This study aims to design and build a Web-Based Fixed Asset Management Information System integrated with Quick Response Code (QR Code) technology as a digital solution for real-time asset data collection, tracking, and monitoring. The approach taken for system development is known as the Waterfall approach, encompassing the phases of analyzing requirements, system design, execution, evaluation, and ongoing support. The creation of the system was carried out utilizing the PHP coding language, the MySQL database system, and Tailwind CSS to achieve a mobile-friendly interface. Data collection techniques were conducted through observation, interviews, and literature studies at the General Affairs Division of the Regional Secretariat of Polewali Mandar Regency. The result of this research is a fixed asset management information system featuring the generation of unique QR Code labels for each asset, category and location management, and reporting features divided into three access levels: Admin, Operator, and Verificator. Based on the system testing results, an average score of above 4.00 was obtained for indicators of ease of use (user-friendly), access speed, and information accuracy. In conclusion, the implementation of this QR Code-based system is proven to increase the efficiency of the asset identification process in the field, minimize manual input errors, and improve accountability in regional asset management in Polewali Mandar Regency.

This research investigates transparency and accountability in the management of state-owned assets (BMN) at the East Java Regional Police's Logistics Bureau as a step toward enhancing effective, adaptive, and integrity-focused governance in police logistics. The research context arises from the growing public call for transparency and accountability in managing state assets, in line with policies for bureaucratic reform and digitalization in the police logistics framework. This study utilized a qualitative descriptive approach involving in-depth interviews, observations in the field, and analysis of documents. The results show that adopting a unified digital system has enhanced the efficiency of asset management, sped up inventory operations, and reduced the risks of asset misuse. Nonetheless, obstacles persist, such as restricted human resource capacity, data alignment problems, and inadequate performance-based assessments. The conversation emphasizes that effective asset management relies on the implementation of adaptive governance, motivation for public service, and precise performance assessment systems. The research indicates that the integration of digital innovation, professional skills, and a robust commitment to public accountability is crucial for creating transparent and sustainable governance in police logistics

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.

This study examines the application of Transparent Artificial Intelligence (AI) for fraud detection in public welfare programs using publicly available administrative data. Persistent challenges in welfare governance such as misallocation, fraud, and data inaccuracy necessitate analytical frameworks that are both effective and explainable. The research aims to design and evaluate an interpretable anomaly detection system capable of identifying irregularities in welfare distribution while maintaining transparency and accountability. Methodologically, the study employs two unsupervised models Isolation Forest and Local Outlier Factor (LOF) to detect anomalies in sub-district-level welfare data, incorporating features such as population size, number of beneficiaries, and coverage ratio. An Explainable AI (XAI) framework integrating surrogate Random Forests, Permutation Feature Importance (PFI), and local linear surrogates (LIME-like) is applied to ensure interpretability of both global and local model behaviors. Findings reveal that receivers per 1000 population and percentage coverage are dominant determinants of anomaly scores. Fifteen administrative units were flagged for potential inconsistencies suggesting over- or under-reporting of beneficiaries. Cross-validation between IF and LOF models confirmed consistency in identifying anomalous regions. The integrated XAI explanations enhance transparency, enabling policymakers and auditors to trace the rationale behind detected anomalies. In conclusion, the proposed Transparent AI framework demonstrates that combining anomaly detection with interpretability tools can strengthen accountability and fairness in welfare administration. It offers a reproducible, ethical, and data-driven approach to social program monitoring, reinforcing public trust and supporting responsible AI governance.

This study aims to analyse the implementation of the Village Operational Funds (VOF) distribution policy as an instrument for realising good governance principles in the Government of Sorong City. The research focuses on the implementation of fund distribution and the application of transparency, accountability, participation, and effectiveness in managing Village Operational Funds. A quantitative approach with a descriptive design was employed. Data were collected through questionnaires administered to 20 respondents and in-depth interviews with five key informants, including village officials and local government representatives. Additional data were obtained through observations of planning and fund utilisation processes, as well as through analysis of regulatory documentation and accountability reports. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The findings indicate that the implementation of the Village Operational Funds distribution policy in Sorong City has not been carried out in accordance with existing regulations, particularly regarding administrative procedures and fund disbursement mechanisms. This condition is primarily caused by the absence or non-disbursement of operational funds at the village level. Furthermore, the application of good governance principles has not been fully optimised due to limited human resources, weak supervision, and low community participation in planning and evaluation. The study concludes that Village Operational Funds have strategic potential as an instrument for promoting good governance if managed transparently and accountably. Therefore, strengthening institutional capacity, supervision systems, and community participation is essential to support effective village governance in Sorong City.

This research aims to analyse the role of archives as agents of change in the digital transformation of archives and as catalysts for bureaucratic reform in the era of digital government at the Sorong City Regional Secretariat. The research used a mixed-methods approach, combining a quantitative survey of 30 respondents with in-depth interviews with five key informants, and analysed the data using correlation statistics and thematic analysis. The study's results show that the digital transformation of archives is closely linked to bureaucratic reform and digital governance, and qualitative findings confirm that digitisation improves administrative efficiency, data integration, and organisational accountability. The research highlights the importance of strengthening technological infrastructure, integrating information systems, and improving the competence of the apparatus as prerequisites for the success of the digital transformation of archives. This study has limitations in its scope, involving only one local government agency and a relatively small number of respondents. Therefore, further research is recommended to broaden the scope, incorporate public service quality variables, and use a longitudinal design to examine the long-term impact of archive digitisation on the performance of bureaucratic reform and digital governance more comprehensively. These findings also provide practical contributions for local governments in designing integrated, sustainable electronic archive management policies that support effective, transparent, and responsive public services to meet the needs of modern society in the future, as well as strengthening data-driven governance.

This study aims to analyze the implementation of good governance principles in inclusive public services in Candisari District, Semarang City. The study used a descriptive qualitative approach with data collection techniques through questionnaires, interviews, and documentation. Research informants consisted of sub-district officials and community service users, including vulnerable groups. Data analysis was conducted through the stages of data reduction, data presentation, and conclusion drawing. The results of the study indicate that the implementation of good governance principles in Candisari District has begun, but has not been running optimally. The principle of transparency has been attempted through the provision of service information and the use of digital media, but accessibility of information for vulnerable groups is still limited. The principle of accountability has not been fully realized, as indicated by the less than optimal performance of the Women and Children Protection Task Force (Satgas PPA) in carrying out its duties and the less than optimal inclusive public complaint mechanism. From the aspect of participation, community involvement, especially vulnerable groups, in the planning and decision-making process is still limited and unstructured. In addition, legal certainty and regional security stability are relatively conducive, but still require institutional strengthening and synergy between stakeholders. This study concludes that the implementation of good governance in Candisari District still faces institutional, participation, and service accessibility constraints, so a strategy is needed to strengthen governance to realize inclusive and sustainable public services.

This study aims to provide a comprehensive analysis of Predictive Policing and its implications for law enforcement transformation in Indonesia, based on an extensive review of its global applications, benefits, and challenges. The study uses qualitative literature and international case study review methods to assess the impact and complexity of implementing digital technologies such as artificial intelligence (AI), machine learning, and big data analytics within a Predictive Policing framework. The results of this review highlight that while Predictive Policing offers significant potential for proactive crime prevention and increased operational efficiency, its implementation is consistently fraught with critical legal, ethical, and technical challenges, including regulatory gaps, risks of algorithmic bias, and data privacy concerns, which are particularly relevant to Indonesia. The findings underscore that public trust and police legitimacy in the context of adopting such technologies are strongly influenced by transparency, strong accountability mechanisms, and community involvement in shaping their use. This study contributes to the growing discourse on digital policing in developing countries and culminates in practical policy recommendations designed to guide the Indonesian police towards the development and implementation of Predictive Policing models that are effective, efficient, and fundamentally respectful of legal and human rights principles.

Official travel constitutes a routine yet strategically significant component of local government administration, closely intertwined with bureaucratic processes, public financial management, and accountability arrangements. Despite its operational importance and fiscal visibility, official travel management has received limited integrative attention in the public administration literature, and existing studies remain fragmented across procedural, financial, and governance perspectives. This article addresses this gap by providing a comprehensive literature review on administrative efficiency in official travel management within local governments, with particular attention to bureaucratic processes and cost control mechanisms. Adopting a narrative–analytical literature review design, the study employs a state-of-the-art and theory-driven synthesis of recent peer-reviewed scholarship in public administration, public financial management, governance, and related fields. The analysis integrates thematic and conceptual synthesis techniques to identify recurring patterns, relationships among key concepts, and unresolved issues in the literature. The findings reveal consistent patterns of procedural inefficiency, including administrative burden, complex approval chains, and process fragmentation, which persist even under formal cost control and accountability systems. The review further demonstrates that compliance-oriented financial controls often secure fiscal conformity without necessarily improving administrative efficiency, particularly when misaligned with bureaucratic workflows and constrained by limited administrative capacity. Governance and accountability mechanisms enhance transparency and oversight but frequently prioritize answerability over performance learning, thereby legitimizing inefficiencies rather than resolving them. By synthesizing insights from Administrative Efficiency Theory, Public Financial Management, Bureaucratic Process Theory, Administrative Capacity Theory, and Governance and Accountability perspectives, this article advances an integrative conceptual framework that explains efficiency outcomes as systemic products of interacting institutional dimensions.

Local governments manage substantial public resources under conditions of decentralization, fiscal complexity, and heightened accountability demands, making them particularly vulnerable to financial mismanagement and fraud. In this context, risk-based internal oversight has increasingly been promoted as a governance-oriented alternative to traditional compliance-based supervision. This literature review article examines how risk-based internal oversight is conceptualized, operationalized, and linked to fraud prevention and control in the management of local government finance. The study addresses a central problem in the existing literature: the fragmentation of analytical perspectives across risk-based internal auditing, fraud risk management, internal control systems, public financial management, and public accountability, which has limited a comprehensive understanding of how internal oversight contributes to safeguarding public funds. The primary objective of this article is to synthesize and integrate these strands of literature to clarify the role of risk-based internal oversight as a systemic governance mechanism for fraud prevention and control at the subnational level. Methodologically, the study employs an integrative literature review approach, drawing on peer-reviewed journal articles and authoritative institutional publications indexed in major academic databases over the past decade. A structured search, screening, and thematic synthesis process was applied to identify patterns, convergences, and divergences across conceptual, empirical, and policy-oriented studies. The findings indicate a clear shift from compliance-oriented inspection toward risk-based internal oversight that prioritizes high-risk financial processes—particularly procurement, grants, and asset management—where fraud risks are most pronounced. The synthesis further shows that effective fraud prevention depends on the alignment of risk-based oversight with fraud risk management practices, robust internal control systems (including SPIP).

This article examines administrative capacity at the local government level as a critical determinant of the effective implementation of grants for Early Childhood Education (ECE), a policy domain widely recognized as a strategic public investment with long-term social and economic returns. Despite the growing reliance on subnational grants to finance ECE services across diverse governance systems, implementation outcomes remain uneven, frequently constrained by limited administrative capacity, weak public financial management, fragmented governance arrangements, and fragile accountability mechanisms. Responding to these challenges, this study aims to synthesize and critically assess the international literature to clarify how administrative capacity shapes the design–implementation nexus of local government ECE grants and to identify the institutional, managerial, and fiscal conditions under which such grants are more likely to achieve their intended objectives. Methodologically, the article adopts a conceptual–comparative literature review approach, drawing on a systematic search of peer-reviewed journal articles from major academic databases and applying thematic synthesis to integrate findings across governance contexts and policy traditions. The review is anchored in Administrative Capacity Theory and analytically enriched through insights from policy implementation theory, public financial management, good governance, and public accountability. The synthesized findings demonstrate that administrative capacity operates as a multidimensional and relational construct, encompassing institutional coherence, managerial coordination, human resource competence, procedural stability, and analytical capability. The literature consistently shows that weaknesses across these dimensions undermine grant implementation through delays, inefficiencies, limited oversight, and uneven service quality, while strong capacity enables more predictable, accountable, and effective ECE grant governance.

The Papua Special Autonomy Fund (Dana Otonomi Khusus Papua) represents a key instrument of Indonesia’s asymmetric fiscal decentralization aimed at reducing historical inequalities, accelerating regional development, and promoting social justice for Indigenous Papuans. However, after more than two decades of implementation, concerns persist regarding its effectiveness in producing equitable welfare outcomes, particularly with respect to accountability, targeting accuracy, and distributive justice. This literature review critically examines existing scholarly research on the governance, implementation, and impacts of Dana Otsus Papua, with an emphasis on how institutional arrangements shape policy performance and equity outcomes. The study employs a narrative–critical literature review enriched with systematic elements, including transparent search procedures, explicit inclusion and exclusion criteria, and thematic synthesis. Peer-reviewed journal articles and reputable conference proceedings were analyzed using thematic analysis and conceptual mapping to identify dominant findings, methodological approaches, and research gaps. The synthesis reveals recurring patterns across the literature. Accountability mechanisms remain fragmented and weakly integrated across planning, budgeting, monitoring, and evaluation processes. Targeting accuracy is inconsistent, with fiscal benefits frequently failing to reach Indigenous Papuans as intended. Moreover, distributive justice outcomes depend more on institutional recognition, participation, and governance capacity than on the size of fiscal transfers alone. The review also highlights a critical gap in integrative evaluations that link governance arrangements, implementation processes, and equity outcomes. The article concludes that improving Dana Otsus Papua requires a shift from expenditure-focused assessments toward governance- and justice-oriented evaluation frameworks. The study contributes theoretically by integrating accountability, implementation, and distributive justice perspectives, and offers practical insights for strengthening oversight, refining targeting mechanisms, enhancing participatory governance, and embedding digital tools within accountability systems.

The rapid spread of hoaxes and disinformation in the digital era poses serious challenges to social cohesion, societal stability, and the internalization of moral values, particularly within Muslim communities. The circulation of unverified information has the potential to trigger conflict, polarization, and a decline in public trust. This study aims to explore digital literacy as an ethical and religious instrument in actualizing the Islamic principle of amar ma’ruf nahi munkar in the contemporary digital sphere. Employing a qualitative library research approach, the study examines classical Islamic sources, including the Qur’an and Hadith, alongside contemporary literature on digital communication ethics and digital citizenship. The findings indicate that digital literacy from an Islamic perspective extends beyond technical competence in accessing and disseminating information; it represents a form of moral responsibility (amanah) grounded in honesty (ash-shidq), prudence, and accountability. Practices such as information verification (tabayyun), clarification, and corrective engagement in online spaces are concrete expressions of amar ma’ruf nahi munkar. Strengthening ethically grounded digital literacy is therefore essential for fostering a healthy, just, and civilized digital public sphere.  

Public service delivery represents a central function of civil servants (ASNs) in realizing governmental objectives and fulfilling public needs. The increasing complexity of bureaucratic challenges not only requires administrative competence but also a devotion-based work culture and strong conflict management abilities. This study adopts an integrative literature review approach to synthesize research on the relationship between devotion-oriented work culture and conflict resolution competence among ASNs in public administration. Through thematic synthesis of empirical and conceptual studies, three primary themes emerge: (1) devotion as a moral dimension shaping civil service identity; (2) conflict resolution competence as an adaptive behavioral skill; and (3) integration of cultural and governance values for ethical performance. Findings reveal that devotion-oriented culture enhances civil servants’ problem-solving and ethical responsiveness, strengthening bureaucratic accountability and public trust. This paper contributes a conceptual framework linking work devotion, conflict competence, and public governance, providing implications for policy and administrative reform toward professional, responsive, and citizen-oriented public service.

The management of village development program archives plays a vital role in supporting effective, transparent, and accountable village governance. However, in many villages, including Kalembu KanaiKa Village in Wewewa Barat District, archive management is still conducted conventionally without the support of a structured information system. This condition creates several challenges, such as difficulties in accessing data, low administrative efficiency, and weak documentation and accountability of village development activities. Therefore, this study aims to examine the development of an information system for managing village development program archives based on local conditions and needs. The research seeks to identify the actual condition of archive management, analyze constraints faced by village officials, and formulate directions for developing an appropriate archive management information system in Kalembu KanaiKa Village. This study employed a qualitative method with a case study approach. Data were collected through in-depth interviews, observations, and document analysis involving village officials responsible for archive management and development program implementation. The results reveal that archive management has not been optimal due to limited human resources, inadequate facilities, and minimal use of information technology. Despite these limitations, village officials show readiness and willingness to adopt a simple and user-friendly archive management information system tailored to the village’s social and institutional capacity. These findings indicate that the development of archive information systems requires not only technical solutions but also attention to social, institutional, and capacity-building aspects.

This study aims to analyze the effectiveness of the public services of the Sorong City Education Office for the community by examining the relationships among service effectiveness, community satisfaction, service accountability, and apparatus responsiveness. The research uses a mixed-methods approach: a quantitative component involving distributing questionnaires to 30 respondents, analyzed using descriptive statistics and correlation, and a qualitative component involving in-depth interviews with five main sources, analyzed using triangulation and thematic analysis. The results of the study show that the effectiveness of public services is in the good category, with a significant relationship between service effectiveness and community satisfaction, service accountability, and responsiveness of the apparatus. Apparatus responsiveness has the strongest relationship with service effectiveness, showing the importance of officer responsiveness in improving the quality of education services. The interview findings also show that education services have improved, though further progress is needed in service speed and information transparency. The study's findings confirm the relevance of public administration theory and service quality in explaining the performance of regional education services. The research is limited in the small number of respondents and its focus on a single agency. Therefore, further research is recommended to increase the sample size, involve several public service agencies, and use a more comprehensive analytical model.

Detention is one of the most coercive measures in the criminal justice process and is intended to ensure the effectiveness of criminal proceedings. In many legal systems, public prosecutors are granted authority to order detention against suspects or defendants under specific legal requirements. However, the practical effectiveness of detention by public prosecutors in achieving procedural objectives and safeguarding legal rights remains a subject of debate. This study aims to examine the effectiveness of detention carried out by public prosecutors against perpetrators of criminal acts, focusing on its legal basis, implementation, and impact on the criminal justice process. Using a normative juridical approach supported by qualitative analysis of legislation, legal doctrines, and relevant case studies, this research evaluates whether prosecutorial detention fulfills principles of legality, necessity, proportionality, and human rights protection. The findings indicate that while detention by public prosecutors can enhance procedural efficiency and prevent obstruction of justice, its effectiveness is often constrained by inconsistencies in application, weak judicial oversight, and potential risks of arbitrary detention. This study concludes that strengthening legal safeguards, standardizing detention criteria, and enhancing accountability mechanisms are essential to ensure that detention by public prosecutors remains both effective and compliant with the rule of law.

Malpractice in dental health services has become a complex legal issue as public awareness of service quality and patient rights continues to increase. The enactment of Law Number 17 of 2023 on Health introduces important changes in regulating the legal accountability of medical personnel, including dentists, particularly in relation to criminal liability for malpractice. This study analyzes the forms of dental malpractice and the criminal responsibility of dentists under the new Health Law. The research uses an empirical legal method with sociological and statutory approaches. Data were obtained through interviews and a review of relevant legislation, legal doctrines, and court decisions. The results show that dental malpractice can arise from negligence, failure to comply with professional standards, violations of standard operating procedures, and the absence or disregard of informed consent. Law Number 17 of 2023 stipulates that criminal liability for dentists can only be applied after a recommendation from the Professional Discipline Board, ensuring a clear distinction between inherent medical risks and professional misconduct. This framework is designed to provide balanced legal protection for both patients and dentists while strengthening legal certainty in malpractice case resolution. Consequently, dentists must understand professional standards and criminal liability mechanisms to practice responsibly and professionally.

Autonomous decision-making systems increasingly rely on complex artificial intelligence models to operate in dynamic and safety-critical environments. While these models provide strong predictive capabilities, their black-box nature limits transparency, trust, and accountability. This study proposes a structured research methodology for integrating Explainable Artificial Intelligence (XAI) into autonomous decision-making systems. The research adopts a conceptual–analytical approach to develop an explainability-oriented framework that embeds transparency across perception, decision-making, and action execution stages. The methodology includes literature-driven problem identification, conceptual framework construction, classification and mapping of XAI methods, and formulation of explainability evaluation criteria. The results demonstrate that effective explainability in autonomous systems requires a hybrid integration strategy, combining in-model transparency with post-hoc explanation mechanisms. A structured mapping of XAI techniques to autonomous system components and a conceptual decision-flow diagram are presented to illustrate explainability integration. The findings highlight that layered and context-aware explainability enhances system interpretability, supports human oversight, and improves safety relevance without compromising autonomous operation. This study contributes a reusable methodological foundation for the design and evaluation of explainable autonomous systems, offering practical guidance for future empirical validation and real-world deployment in safety-critical applications.