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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

Patient safety culture is an essential component in improving the quality of healthcare services and preventing medical errors in hospitals. However, the implementation of patient safety culture is often influenced by several organizational and individual factors, including situational awareness, availability of hospital infrastructure, and the balance between effort and rewards experienced by healthcare workers. This study aims to analyze the influence of situational awareness and hospital infrastructure on patient safety culture, with effort–reward imbalance acting as a mediating variable. The research was conducted at RSIA Tiara and involved healthcare workers as respondents. A quantitative approach with a cross-sectional design was applied in this study. Data were collected through structured questionnaires distributed to healthcare professionals and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results show that situational awareness has a significant positive effect on effort–reward imbalance and patient safety culture. Hospital infrastructure also significantly influences effort–reward imbalance and patient safety culture. Furthermore, effort–reward imbalance significantly affects patient safety culture and mediates the relationship between situational awareness, hospital infrastructure, and patient safety culture. These findings indicate that improving healthcare workers’ situational awareness and ensuring adequate hospital infrastructure can help reduce work imbalance and strengthen patient safety culture. In conclusion, hospital management should prioritize training programs to enhance situational awareness, improve supporting facilities, and implement fair reward systems to promote a sustainable and positive patient safety culture in healthcare organizations.

This study aims to investigate curriculum development strategies in five countries—Finland, Indonesia, the United States, Japan, and Singapore—through a qualitative library research approach. Curriculum reform has become a global priority in response to rapid technological advancement, globalization, and changing educational demands. This study reviews 50 scholarly sources, consisting of 10 references for each country, including journal articles, policy documents, and official government reports. The analysis focuses on key aspects of curriculum development, namely governance structure, curriculum orientation, teacher autonomy, assessment practices, and technology integration. The findings indicate that while all five countries emphasize competency-based learning and the integration of technology to improve learning quality, they differ significantly in curriculum governance, flexibility, and implementation strategies. Finland and the United States demonstrate higher levels of decentralization and teacher autonomy, whereas Indonesia, Japan, and Singapore apply more centralized curriculum systems. Common challenges identified include ensuring educational equity, enhancing teacher readiness, and adapting curricula to rapid societal and technological changes. This study contributes to a comparative understanding of international curriculum strategies and provides insights for improving curriculum design through evidence-based and technology-supported approaches.

Bullying is a form of aggressive behavior that is intentionally and repeatedly carried out, characterized by an imbalance of power between the perpetrator and the victim. This phenomenon is not limited to childhood and adolescence but may also produce long term effects that extend into adulthood, including among university students. This study aims to explore the long term impact of bullying on victims’ mental health, with a particular focus on students who have experienced bullying in the past. The study employed a descriptive qualitative method using a literature review approach. Data were obtained through a comprehensive analysis of scientific articles, national and international journals, and previous studies related to bullying and mental health. The findings show that victims of bullying face a higher risk of psychological problems, such as depression, anxiety, post traumatic stress disorder or PTSD, low self esteem, and difficulties in social interactions. These effects influence not only emotional well-being but also academic functioning, including reduced concentration, decreased learning motivation, and lower academic performance. In addition, prolonged psychological stress resulting from bullying may lead to physical problems, such as sleep disturbances and somatic complaints. Factors including limited social support, maladaptive coping strategies, and high intensity or prolonged exposure to bullying were found to intensify the negative impacts experienced by victims. Therefore, this study emphasizes the importance of comprehensive prevention and intervention efforts in higher education settings, such as the provision of accessible counseling services, the implementation of strict anti bullying policies, and the strengthening of social support systems to minimize the long-term mental health effects of bullying among university students.  

Indonesian Sign Language (Bahasa Isyarat Indonesia, BISINDO) is often misunderstood as merely a gestural or simplified form of communication, undermining its linguistic sophistication and contributing to barriers to deaf inclusion in Indonesia. Approximately 2.6 million deaf individuals in the country rely on BISINDO as their primary language. This study explores the linguistic complexity of BISINDO, documenting its phonological, morphological, syntactic, and semantic systems. Using a mixed-methods approach, we analyzed 150 hours of BISINDO conversations from 80 deaf signers, conducted experimental studies on phonological distinctions and syntactic complexity, and performed ethnographic fieldwork in deaf communities and schools. Comparative analysis with American Sign Language (ASL) was also conducted. Our findings demonstrate that BISINDO is a fully developed natural language, with 45 handshapes, 18 locations, 23 movements, and 4 orientations in its phonological system. It shows productive morphological processes, flexible word order, and rich semantics, including idioms and metaphors. However, there are significant barriers to inclusion: 68% of deaf students lack qualified BISINDO teachers, and 84% of public services lack sign language interpreters. Furthermore, 72% of hearing Indonesians still do not recognize BISINDO as a legitimate language. Deaf community organizations, however, report BISINDO as central to their identity. The study highlights the need for policy reforms, including BISINDO recognition as an official language, qualified interpreters, bilingual deaf education, and public awareness campaigns to combat misconceptions.    

This paper was written with the aim of analyzing the role of stevedoring workers (TKBM) in loading and unloading activities carried out by the Loading and Unloading Company (PBM) FT. Gelora Perkasa Belawan. In collecting data, the author utilized two approaches, namely field research and library research. Labor efficiency is a key factor in increasing operational productivity in the port sector, however, various problems are often found such as delays, low productivity, and work inefficiencies caused by weak monitoring and performance monitoring systems. In this study, a qualitative approach was used through field methods and library methods, on the operational activities of TKBM in the company. The results of the study indicate that the implementation of structured work and periodic evaluations can improve work discipline, accelerate loading and unloading times, and reduce operational costs. In addition, the role of management in providing constructive feedback and periodic training has also proven effective in supporting labor efficiency. Thus, optimizing the role of TKBM will have a direct impact on improving the performance of PBM PT. Gelora Perkasa Belawan, which ultimately contributes to the smooth flow of goods and economic growth in the Belawan port area.

Abstract: Padukuhan Karangrejek, Karangtengah, Imogiri, Bantul, is a sloping area prone to landslides due to high rainfall, soil erosion, and vegetation degradation. Landslides often threaten the safety of residents, damage infrastructure, and disrupt the sustainability of the local environment and economy. This study aims to apply bioengineering through the planting of slope-stabilizing plants to improve slope resistance to landslides using an environmentally friendly and sustainable nature-based approach. The methods included surveying planting locations, preparing planting holes, making tree marker boards, and participatory phased planting with the community. The types of plants used were Munggur, Soursop, Jackfruit, and Teak, which have strong root systems to strengthen soil structure and reduce erosion. The results showed an increase in soil cohesion through root penetration, a reduction in rainwater runoff, suppression of erosion, and a decrease in the risk of subsequent landslides. The positive impacts included increased soil water retention, improved soil fertility, community empowerment in disaster management, and economic added value from fruit and timber crops. Conclusion The application of bioengineering with Munggur, Soursop, Jackfruit, and Teak trees is an effective, inexpensive, and sustainable solution for landslide mitigation in Karangrejek Hamlet. Recommendations include monitoring growth periodically, expanding planting to other slopes, and integrating the program into the village's disaster resilience plan for long-term sustainability.

This study aims to evaluate the performance of digital information systems, including websites and mobile applications, used by national expedition companies in Indonesia, using standardized technical indicators from Google Web.dev. This research employs a descriptive and evaluative approach with purposive sampling. The research objects comprise five major national expedition companies: JNE, J&T Express, SiCepat, Pos Indonesia, and Lion Parcel. The evaluation is conducted using four main indicators: Performance, Accessibility, Best Practices, and Search Engine Optimization (SEO). The results indicate that, in general, the digital information systems of national expedition companies function adequately; however, there are notable performance variations among companies, particularly in terms of loading speed and mobile performance. Pos Indonesia demonstrates the most balanced overall performance, while several other companies require further optimization, especially in performance efficiency and SEO. This study contributes to the literature by providing an objective technical evaluation of expedition information systems and offering practical recommendations to improve digital service quality, enabling faster, more secure, and more responsive logistics services in a highly competitive industry.

Acute Respiratory Infections (ARI) remain one of the public health problems that contribute significantly to high morbidity rates, especially among vulnerable groups. Community health centers, as primary health care facilities, play an important role in recording, reporting, and monitoring cases through surveillance systems. This study aims to determine the description of ARI cases and evaluate the implementation of the ARI surveillance system at the Perumnas Community Health Center from August to October 2025. This study uses a descriptive evaluative approach. The surveillance system evaluation is based on the 5M components, namely man, money, material, method, and machine. Data were obtained through a review of surveillance documents and observation of the implementation of the ARI case recording and reporting system at the health center. The results of the study indicate that ARI is still one of the most common diseases found in the Perumnas Community Health Center's working area. The implementation of ARI surveillance is generally running well, but there are still several obstacles in terms of human resources, supporting facilities, data completeness, and optimization of reporting methods. These conditions affect the quality of the epidemiological information produced. Therefore, it is necessary to strengthen the surveillance system by increasing the capacity of officers, providing supporting facilities, and improving recording and reporting mechanisms so that the implementation of ARI surveillance is more effective and supports disease control efforts.

Three-phase induction motors are essential components in industrial cooling systems that require reliable overcurrent protection to maintain operational continuity and prevent equipment damage. In the Cooling Tower Pump panel at PT DongJin Indonesia, a limitation was identified where the terminal of the Electronic Overcurrent Relay (EOCR) could not accommodate the 50 mm² power cable, preventing direct current measurement. This study aims to analyze the effectiveness of integrating a 200:5 A Current Transformer (CT) with the EOCR as an adaptive protection solution that is both safe and efficient. The research employs a case study approach through field observation, motor current measurement using a Fluke 303 Clamp Meter, and descriptive analysis of the recorded data. The results indicate that the three motors operate under stable load conditions, with current values ranging from 236.7 A to 275.7 A, while the secondary current detected by the EOCR ranges from 3.7 A to 3.9 A, consistent with the CT transformation ratio. During the starting phase, the current surged to 600.4 A without causing false tripping, demonstrating that the EOCR effectively distinguishes temporary inrush current from actual fault conditions. Therefore, the integration of CT–EOCR is proven to enhance measurement safety, maintain motor operational stability, and support efficient system maintenance in industrial environments.

This study aims to analyze loan administration practices and the causes of non-performing loans from the perspective of Asymmetric Information Theory at KSP Kopdit Obor Mas Pasar Alok Branch. This research employs a qualitative descriptive approach using observation, interviews, and documentation as data collection techniques. The results indicate that loan administration has not been optimally implemented, particularly in documentation completeness, creditworthiness analysis, and post-disbursement monitoring. From the asymmetric information perspective, adverse selection and moral hazard were identified as major contributors to non-performing loans. Limited borrower information, misuse of loan funds, and weak supervision were the dominant factors affecting credit quality. The study concludes that improving loan administration systems and strengthening monitoring mechanisms can reduce asymmetric information impacts and minimize non-performing loans in cooperatives.

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.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

This study examines coordination between the Ministry of Religious Affairs and the Ministry of Education Culture Research and Technology in managing the Madrasah Education Management Information System EMIS. The main issue is data asynchrony that affects the accuracy of national education planning including budget allocation and the distribution of educational social assistance. This study uses Interorganizational Coordination Theory by B Guy Peters and Collaborative Governance by Ansell and Gash. A qualitative approach was used to analyze the data integration process and bureaucratic obstacles in inter institutional relations. The findings show that coordination between the two ministries influences the accuracy of national education planning. However the coordination is still dominated by a formal administrative approach and has not yet achieved substantive collaboration. The main obstacles include sectoral ego low interoperability of information systems and weak data sharing mechanisms. These conditions lead to data redundancy and information gaps that reduce the quality of policy making. Strengthening coordination through facilitative leadership digital integration across ministries and system automation based on interoperability is needed to improve the accuracy of national education planning.

The phenomenon of homeless individuals and beggars (gepeng) in Jambi City remains a significant and ongoing social issue, indicating that efforts to address poverty and urban social vulnerability have not yet been fully effective. Although the local government, through the Jambi City Social Affairs Office, has implemented a Social Rehabilitation Program aimed at restoring beneficiaries’ social functioning through outreach, social assessment, social guidance, skills training, and family reunification, the presence of gepeng in public spaces continues to fluctuate from 2022 to 2024. This study analyzes the effectiveness of the program’s implementation, particularly the social guidance component, using a qualitative case study approach. Data were collected through in-depth interviews, field observation, and documentation review, and analyzed using George C. Edward III’s policy implementation theory, which emphasizes communication, resources, disposition, and bureaucratic structure. The findings show that the program has been carried out procedurally and humanely; however, its effectiveness remains limited due to insufficient numbers of social workers, weak and unsustained economic empowerment support, and inadequate post-rehabilitation monitoring. As a result, some beneficiaries return to the streets after completing the program. Therefore, strengthening inter-agency communication, increasing resource capacity, integrating sustainable economic empowerment initiatives, and improving consistent monitoring systems are essential steps to achieve long-term and more sustainable reductions in homelessness in Jambi.

The phenomenon of recidivism in narcotics crimes indicates that the rehabilitation and punishment approaches applied have not been fully able to prevent recurrence of crimes. This study aims to analyze the effectiveness of law enforcement against recidivists in narcotics crimes in two court decisions, namely Decision Number 154/Pid.Sus/2018/PN Yyk and Decision Number 51/Pid.Sus/2020/PN Tte. Case studies are used to assess the effectiveness of law enforcement, especially against perpetrators who have previously undergone rehabilitation but have re-committed crimes with more complex roles. This study uses a normative legal method with a statutory approach and a case approach, which are analyzed qualitatively based on law enforcement theory and the objectives of punishment. The results show that normatively there are regulations on rehabilitation and increased sentences for recidivists, but their effectiveness is not optimal, partly due to the lack of post-rehabilitation regulations that are expressly regulated in the law and the lack of integrated data systems between rehabilitation institutions and the courts. This condition causes rehabilitation to not fully function as a preventive instrument against recurrence of crimes. This study recommends strengthening post-rehabilitation regulations and integrating information systems between agencies as part of a more preventive and sustainable criminal law policy reform.

This research aims to design an Information Systems and Information Technology (IS/IT) strategic plan for Wyndham OPI Hotel Palembang to support operational efficiency and enhance the quality of five-star hotel services. The study applies the Ward and Peppard framework, supported by analytical methods including Value Chain,PEST,SWOT,Critical Success Factors (CSF), MOST and McFarlan Strategic Grid. Through these approaches, the current IS/IT condition, challenges, and opportunities for digital system development within the hotel environment were mapped. The analysis reveals that although the hotel has implemented technologies such as SiteMinder and the Rhapsody management system, there is a need to improve self-service check-in capabilities, strengthen IT infrastructure, and maximize digital technology utilization. The proposed strategy recommends the development of an integrated self check-in system, enhancement of network infrastructure, and employee training through an LMS platform. This strategic plan is expected to support the hotel’s digital transformation to remain competitive in the modern hospitality industry.

This study aims to analyze the implementation of the Free Nutritious Meal Program through a collaborative governance framework in Kendal Regency using a mixed-methods approach with a convergent parallel design. Quantitative data collected from 34 respondents were analyzed using descriptive statistics and Pearson correlation analysis, while qualitative data obtained from five key informants were analyzed thematically. The results reveal very strong and statistically significant correlations (p < 0.001) among cross-sectoral coordination, stakeholder roles, community participation, and accountability–transparency, indicating that collaborative synergy is a decisive factor in successful policy implementation. The Kruskal–Wallis test indicates consensus across professional groups (p> 0.05). However, qualitative findings uncover a paradox of coordination without communication: implementers internalize coordination as a functional operational reality, while beneficiaries experience informational alienation. The resulting collaborative configuration can be characterized as technocratic–instrumentalist—technically effective yet weak in terms of social legitimacy. This study underscores that implementing social policy requires collaborative governance that is not only coordinative but also communicative and deliberative. Policy implications include strengthening dialogic public communication, transforming consultative participation into deliberative engagement, and promoting participatory transparency to foster shared understanding between bureaucratic systems and program beneficiaries.

This study aims to analyze the influence of digitalization on the lifestyles of students at Universitas Nasional Pasim. The research employs a quantitative approach through field survey methods, targeting a population of 123 students from the Faculty of Economics, Class of 2025. A minimum sample size of 56 respondents was determined using the Slovin formula. The sampling technique utilized was purposive sampling, while data analysis involved validity and reliability tests, classical assumption tests, and multiple regression analysis to determine the relationships between variables. Empirical results indicate that digitalization has a positive and significant influence on student lifestyles, with the F-calculated value exceeding the F-table at the specified level of significance. The R-Square value further explains the contribution of the digitalization variable to changes in the respondents' lifestyles. The findings reveal positive impacts such as increased academic efficiency, instant access to information, and the convenience of transactions through practical digital payment systems. Conversely, negative impacts identified include a rise in consumptive behavior driven by cashless and paylater features, where student budgets are increasingly used for non-academic purposes. Furthermore, high intensity of social media usage triggers the Fear of Missing Out (FOMO) phenomenon and a decline in real-world social interaction. In conclusion, digitalization is a pivotal factor in shaping modern student lifestyles. It is essential to enhance financial literacy and strengthen self-control to minimize the negative impacts of technology in the future.

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.