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This study examines the role of officially appointed amil zakat in enhancing transparency and accountability in zakat governance in Mojopuro Village, Wonogiri Regency. Prior to this initiative, Mojopuro had no Zakat Collection Unit (UPZ), resulting in zakat practices that were traditional, undocumented, and lacking institutional oversight. Through a series of mentoring activities and seminars conducted from 8–18 September 2025, capacity-building efforts were directed toward prospective amil zakat, village officials, and religious leaders, focusing on zakat regulations, principles of transparency, and both vertical and horizontal accountability. The implementation methods included material delivery, group discussions, and consultative sessions, which ultimately led to the formal appointment of official amil zakat by the Wonogiri Regency BAZNAS. The findings demonstrate that the presence of official amil significantly improved the structural management of zakat, enhanced participants’ understanding of transparency and accountability, and strengthened coordination among amil, village administrators, and religious figures. These results indicate that village-based institutional mentoring can foster a transformative shift from traditional zakat practices toward professional, transparent, and accountable governance. This study thus offers a community-based empowerment model that can be replicated in other villages to improve zakat distribution effectiveness and build public trust in formal zakat institutions.

This study aims to examine the quality of public services at the Population and Civil Registration Office (Disdukcapil) of Pohuwato Regency using the SERVQUAL model, which comprises five dimensions: Tangibles, Reliability, Responsiveness, Assurance, and Empathy. This research was conducted in response to persistent public complaints regarding slow service processes, long queues, limited facilities and infrastructure, network disruptions, as well as insufficient information and uncertainty concerning service completion time. The study employed a descriptive qualitative approach through observation, interviews with Disdukcapil employees and community members, and documentation. The findings indicate that the quality of public services has not yet been optimal. The Tangibles dimension remains weak due to inadequate service facilities. Reliability has not been fully achieved as a result of delays in document issuance and system disruptions. Responsiveness among service officers is inconsistent in addressing public complaints. In terms of Assurance, officers demonstrate adequate professionalism; however, transparency in procedures and service timelines remains inconsistent. Meanwhile, in the Empathy dimension, attention to the community particularly vulnerable groups still needs improvement. Overall, the public services provided by Disdukcapil Pohuwato have not fully met community expectations and require improvements in facilities, staff competence, and the effectiveness of service systems.

This study investigates the relationship between corporate governance characteristics, financial structure, and Enterprise Risk Management (ERM) disclosure in Indonesian non-financial firms. Focusing on manufacturing companies listed on the Indonesia Stock Exchange in 2023, the analysis examines whether board size, the proportion of independent commissioners, and leverage influence the extent of ERM disclosure. Using a quantitative approach, multiple linear regression is applied to secondary data obtained from firms’ annual reports. The findings indicate that board size and the proportion of independent commissioners do not have a significant effect on ERM disclosure, while leverage exhibits a positive and significant relationship. This result suggests that firms with higher debt levels are more inclined to enhance risk disclosure as a mechanism to address information asymmetry and demonstrate accountability to investors and creditors. The study contributes to the ERM and corporate governance literature by providing evidence from an emerging market setting and highlighting the practical importance of financial structure in shaping risk transparency, offering relevant insights for corporate decision-makers and regulators to strengthen sustainable risk management practices.

This study aims to analyze the major challenges in regional financial management that affect the quality of the implementation of regional autonomy in Indonesia. Regional financial management plays a crucial role in achieving fiscal independence and ensuring the effectiveness of local governance. This research employs a descriptive qualitative method using a literature review approach by examining various scholarly sources, legal regulations, policy reports, and relevant previous studies. The analysis reveals three recurring and interrelated issues: the high level of fiscal dependence of local governments on the central government, the limited capacity and competence of regional financial management personnel, and the persistence of budget misuse reflecting weak governance and oversight mechanisms. These challenges form structural barriers to the realization of fiscal self-reliance and accountable local governance. The study emphasizes that improving regional financial management cannot be carried out in a partial or fragmented manner but requires a comprehensive approach involving the enhancement of human resource capacity, reform of budgeting systems and mechanisms, and the strengthening of transparency and public accountability. Therefore, improving regional financial governance is a strategic step toward achieving effective, sustainable regional autonomy that is oriented toward public welfare.

Student selection for the National Student Sports Olympiad (O2SN), particularly in the karate category, is still largely conducted manually, which may lead to subjectivity and inconsistency in the assessment process. This study aims to design and develop a web-based Decision Support System (DSS) to assist schools in selecting the best students for the O2SN karate competition by applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method at SMA Negeri 2 Muaro Jambi. The system was developed using the waterfall model, which consists of requirement analysis, system design, implementation, and testing stages. The student evaluation process is based on criteria referring to the official O2SN karate standards, including stance accuracy, techniques, movement transitions, timing and harmony, breathing control, focus (kime), conformity (consistency with ryu-ha/style), strength, speed, and balance. The developed system processes assessment data to generate preference values and student rankings, which are separated by male and female categories. The results indicate that the application of the TOPSIS method is able to support more objective decision-making and improve transparency and efficiency in the O2SN student selection process within the school environment.

Hypertension is a major global health risk that requires accurate early detection, yet conventional methods struggle with complex and imbalanced health datasets. This study aims to optimize hypertension prediction using a Logistic Regression model integrated with Borderline-SMOTE to enhance recall and provide model transparency through SHAP (Shapley Additive Explanations). The method utilizes the BRFSS dataset, applying Borderline-SMOTE to address class imbalance at the decision boundary and XAI techniques for global and local interpretation. The findings show that the model achieved an accuracy of 0.719, an AUC of 0.800, and a significantly improved recall of 0.756. SHAP analysis identified age, high cholesterol, and BMI as the most influential risk factors, while waterfall plots successfully clarified individual risk extremes, ranging from 1.72% to 99.43% probability. These results imply that the proposed approach provides a sensitive and transparent screening tool for public health practitioners, effectively balancing statistical efficiency with clinical accountability.

The development of digital technology has encouraged the government to utilize social media as an effective means of public communication. The Ministry of Agriculture is one institution that actively uses Instagram to convey information, build a positive image, and interact with the public. This study aims to determine the Public Relations strategy in managing the Instagram social media account @kementerianpertanian. This study uses the Public Relations strategy theory from Cutlip and Center, which consists of four stages: problem identification, planning and programming, communication and action, and evaluation. The research method used is a descriptive qualitative approach, with data collection techniques through in-depth interviews and documentation of the Ministry of Agriculture's Public Relations team. The results show that the Ministry of Agriculture's Public Relations has implemented a planned communication strategy, starting from planning informative and educational content, utilizing Instagram features such as reels, stories, and live to increase interaction, to routine evaluation based on engagement data (likes, shares, comments, and saves). This strategy also adapts to social media trends and audience needs. Public Relations actively responds to user questions and comments to maintain two-way communication. However, challenges such as negative comments, limited resources, and changes in the Instagram algorithm are obstacles that still need to be overcome. Overall, the implemented strategy has successfully supported the improvement of the image and transparency of public information within the Ministry of Agriculture.

This study aims to analyze the implementation of financial reporting and evaluate the economic performance of Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) Nur Insani during the period from 2022 to 2023. A descriptive qualitative method was employed, utilizing secondary data from the Statement of Financial Position, Cash Flow Statement, and Operating Results Report published by the cooperative. The findings indicate that KSPPS Nur Insani has implemented a computerized financial recording system, which enhances accuracy, transparency, and operational efficiency. However, the cooperative experienced significant financial pressure in 2023, as indicated by decreases in cash and cash equivalents, total assets, and temporary syirkah funds, both short-term and long-term. These declines reflect weakened liquidity and reduced fundraising capacity from members. Despite these challenges, the cooperative succeeded in increasing its Net Operating Results (SHU), demonstrating effective revenue management and operational cost control. Overall, the profitability of KSPPS Nur Insani remains positive, yet strategic improvements are necessary, particularly in strengthening liquidity management, increasing funding sources, optimizing asset utilization, and enhancing digital system implementation to support better financial governance. These strategic efforts are expected to improve business sustainability and maintain member trust in the future.

This study aims to analyze the optimization of the use of Village Funds in efforts to develop Pethung Park tourism in Belik Village, Trawas District, Mojokerto Regency, using  the New Public Governance (NPG) theoretical approach  from Osborne and Gabler. NPG theory emphasizes the importance of collaboration, participation, networking, decentralization, as well as transparency and accountability in public governance. This study uses a qualitative descriptive method by collecting data through interviews, observations, and documentation involving the village government, BUMDes, Pokdarwis, and the local community. The results of the study show that the Belik Village government has succeeded in making optimal use of the Village Fund as an instrument of local economic development and a means of community empowerment. The Village Fund is directed to tourism infrastructure development, human resource training, and digital-based tourism promotion. Collaboration between village governments, communities, and the private sector through BUMDes and Pokdarwis is able to create participatory and sustainable development governance. The real impact can be seen from the increase in the number of tourist visits, the growth of MSMEs, and the increase in the village's original income. This study concludes that NPG-based governance practices in Belik Village have resulted in development effectiveness and strengthened village economic independence. The results of this study can be a model for other villages in implementing the management of Village Funds for the tourism sector based on collaboration and community participation towards sustainable village development.

Digital transformation has significantly reshaped human resource management (HRM) through the adoption of Human Resource Information Systems (HRIS), artificial intelligence (AI), big data analytics, e-learning platforms, and remote work technologies. Although these innovations improve efficiency and decision-making, they also generate ethical challenges related to data privacy, algorithmic bias, transparency, and employee monitoring. This article examines the role of professional ethics in HRM within the context of digital transformation, highlighting both emerging challenges and potential opportunities. This study employs a conceptual research approach supported by a comprehensive literature review of scholarly works on HRM, professional ethics, and digitalization. The analysis focuses on core ethical principles such as integrity, fairness, responsibility, professionalism, and confidentiality, and evaluates their implementation in digital HR practices. The findings indicate that unethical use of digital technologies may lead to discrimination, reduced employee trust, and violations of individual rights, particularly through biased AI-based recruitment systems and opaque performance evaluation mechanisms. However, digital transformation also offers opportunities to strengthen ethical HR governance. The use of ethical data management, algorithmic audits, digital transparency, and e-learning-based ethics training can enhance accountability and fairness in HR processes. The study concludes that integrating professional ethics with digital HRM is essential for developing human-centered, sustainable, and trustworthy organizations in the digital era.

This study aims to analyze the marketing strategies of Islamic bank products based on sharia values implemented in Mojoarno Village (Ikhsanudin et al. 2024). The background of this research is the increasing development of Islamic banking in Indonesia which is not always followed by sucient understanding of sharia nancial products at the rural level (Qothrunnada et al. 2023). This condition requires Islamic banks to design marketing strategies that are not only focused on product promotion, but also on education, empowerment, and strengthening public trust (Damayanti 2023). This research uses a qualitative case study approach on an Islamic bank that actively conducts marketing activities around Mojoarno Village (Yin 2018). Data were collected through in-depth interviews with bank marketing sta , religious leaders, and customers, participatory observation in socialization and religious activities, as well as documentation of promotional materials and internal reports (Miles and Huberman 2014). The data were analyzed through data reduction, data display, and conclusion drawing with source and technique triangulation to ensure validity. The ndings show that marketing strategies integrated with sharia values—such as justice, transparency, and avoidance of riba, gharar, and maysir—combined with religious and cultural approaches through mosques and majelis taklim can increase public literacy and interest in Islamic bank products (Rahman, Aji, and Sopingi 2023). However, several challenges still remain, including low initial nancial literacy, strong informal nancial practices, and limited marketing resources in rural areas (Syifa, Nasution, and Inayah 2024). The implications of this research emphasize the importance of synergy between Islamic banks, religious leaders, and local communities to develop sustainable sharia-based marketing models in rural contexts.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

End-to-end autonomous driving has emerged as a promising paradigm in which deep neural networks directly map raw visual inputs to continuous control actions. Despite its effectiveness, this approach suffers from limited transparency, posing significant challenges for deployment in safety-critical driving scenarios. This study addresses the lack of interpretability in vision-based end-to-end autonomous driving systems and aims to analyze model decision-making behavior under critical conditions such as sharp steering maneuvers and abrupt control transitions. To this end, an explainable end-to-end autonomous driving framework is proposed, combining a convolutional neural network trained via imitation learning with gradient-based visual attribution techniques, including Grad-CAM. The model predicts continuous steering, throttle, and braking commands directly from front-facing camera images, while explainability mechanisms are applied to reveal input regions influencing each control decision. Model performance is evaluated using both prediction accuracy and safety-oriented behavioral metrics. Experimental results show that the proposed explainable model achieves lower control prediction errors compared to a baseline end-to-end CNN, reducing steering mean squared error from 0.034 to 0.031, throttle error from 0.021 to 0.019, and brake error from 0.018 to 0.016. Moreover, safety-oriented analysis indicates improved driving stability, with steering variance reduced from 0.087 to 0.072 and abrupt control changes decreased from 14.6 to 10.3 events. Visual explanations consistently highlight road surfaces and lane-related structures during complex maneuvers, indicating reliance on semantically meaningful cues. In conclusion, the results demonstrate that integrating explainability into end-to-end autonomous driving not only preserves predictive performance but also correlates with smoother and more stable driving behavior. This framework contributes to the development of transparent and trustworthy autonomous driving systems suitable for safety-critical applications

This study was conducted to analyze the implementation of financial management and accounting practices at a Coffee Shop in South Jakarta operating within the MSME sector, with a focus on the importance of structured financial management and the application of standardized accounting as a fundamental element in supporting business sustainability. The research employed a qualitative descriptive method through interviews, direct observations, and document review. The findings indicate that the Coffee Shop has applied a cash-based recording system and utilizes a simple point of sales (POS) application to monitor cash flow and sales transactions. However, the recording of fixed assets, depreciation calculations, and the recognition of liabilities have not fully complied with the guidelines of FAS MSMEs, resulting in financial information that remains limited, lacks transparency, and does not provide a comprehensive overview of the business’s financial condition. Therefore, this study highlights the need to improve human resource capabilities in accounting and to implement simple yet credible accounting software to support more accurate, efficient, and accountable financial reporting. With more professional financial management, business owners will be better equipped to make strategic decisions, strengthen stakeholder trust, and enhance the competitiveness and long-term sustainability of the Coffee Shop.

This study examines the bioethical and Sharia dilemmas arising from the production of slaughter-free meat through animal cell culture as a modern food innovation. Concerns regarding the halal status of the cell source, the use of culture media such as Foetal Bovine Serum, and ethical issues related to animal welfare necessitate an in-depth analysis of the halal status and moral implications of this technology. The research method employs a literature study with a descriptive qualitative approach, reviewing journals, books, and contemporary fatwas related to cultured meat, bioethics, and Islamic law. The results indicate that the Sharia aspect heavily depends on the cell source, the medium used, and the culture process, while the bioethical perspective highlights animal welfare, scientific transparency, and the moral responsibility of researchers. Furthermore, the acceptance among Muslim communities is significantly influenced by trust in halal certification bodies and the availability of transparent information. This study affirms the need for biotechnology-based halal standardization and the development of fully halal media and supporting materials to ensure the widespread acceptance of cultured meat in the future.

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 article examines the limitation of transparency within the Indonesian House of Representatives (DPR) during the formulation of the Job Creation Act (Law No. 11 of 2020) and its implications for legislative performance and public participation. Transparency represents a fundamental requirement in a democratic legal system as it ensures accountability, public oversight, and the legitimacy of legal products. However, the legislative process of the Job Creation Act demonstrated significant procedural issues, including inconsistent draft versions, restricted access to essential documents, accelerated deliberation, and the marginalization of meaningful public participation. This study highlights how these limitations hinder the public’s constitutional rights, weaken legislative oversight, and create asymmetrical power relations that enable elite dominance in policymaking. The lack of transparency also led to procedural defects acknowledged by the Constitutional Court, reflecting a systemic decline in democratic legislative practices. Using a normative juridical method supported by legislative analysis and doctrinal studies, this paper argues that the absence of transparency not only reduces the quality of participation but also erodes the legitimacy and accountability of the DPR. The findings emphasize the urgent need for open access to legislative documents, inclusive public consultation, and strengthened accountability mechanisms to ensure democratic and lawful policy making.  

This study aims to comprehensively examine the implementation and mechanisms for results in Al-Mudharabah financing at Bank Muamalat Rangkasbitung, while also assessing the level of compliance of its implementation with sharia principles. This study applies a qualitative descriptive method with a field study approach involving direct observation, interviews, and review of documents related to Mudharabah financing procedures. The research findings show that Bank Muamalat Rangkasbitung implements a profit-sharing system based on the principles of justice (al-'adl) and trustworthiness (al-amanah). The profit-sharing scheme is carried out proportionally according to the ratio agreed upon in the initial contract, so that both parties have clarity regarding rights and responsibilities. The implementation of this system not only ensures the avoidance of usury but also strengthens the partnership between the bank and customers through practices of transparency, information disclosure, and a shared commitment to business management. Overall, these findings show that the implementation of Al-Mudharabah financing at Bank Muamalat Rangkasbitung has been running in line with several sharia values ​​and even supports the realization of fair, ethical, and sustainability-oriented Islamic economic practices. Thus, Mudharabah financing at the branch can be an example of the effective implementation of sharia contracts and is able to encourage the development of the sharia financial sector at the local level.

This research examines the use of blockchain technology to support energy sustainability in urban areas. Blockchain offers transparency, security, and efficiency in recording and distributing energy data, potentially optimizing renewable energy use and reducing carbon emissions. The research method involves literature analysis and simulations of blockchain applications in urban energy systems. The results show that blockchain implementation can increase energy distribution efficiency by up to 20%, reduce data reporting time by up to 99%, and reduce carbon emissions by 50%. In conclusion, blockchain technology can be a strategic innovation in supporting the transition to a sustainable and environmentally friendly energy system.

This study examines the implementation of Good Governance principles in passport and residence permit services at Ngurah Rai Immigration Office, Bali. Employing a qualitative case study approach, the research evaluates how digital transformation enhances transparency, accountability, efficiency, participation, and the rule of law in immigration services. Findings demonstrate that digital systems such as the M-Paspor application and the Integrated Residence Permit System have improved procedural transparency, reduced illegal levies, and strengthened public trust. Efficiency has increased through automation, which reduces processing times and human errors. Digital audit trails reinforce accountability by ensuring decisions are traceable and regulation-based. However, challenges exist in substantive accountability and responsiveness. Decision-making in non-standard cases lacks transparency, with limited explanation of the legal bases. Response times through formal channels such as hotlines often exceed standards due to lengthy cross-divisional coordination. Whilst digitalisation has brought significant improvements, further reforms are necessary to strengthen substantive accountability and responsiveness, thereby enhancing public trust and institutional legitimacy in accordance with good governance standards. Continuous improvements in integrated digital systems, staff training, and process streamlining remain essential for full compliance.