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Nurse workload is the total number or volume of tasks that must be completed by nurses during their professional practice in hospitals, including both physical and mental responsibilities in providing nursing care to patients. Meanwhile, nurse burnout is a condition of emotional and mental fatigue experienced by nurses due to prolonged work pressure and the high intensity of emotional demands in the hospital environment. However, workload problems are still commonly found in hospitals, with one of the main contributing factors being work stress caused by excessive job demands and continuous pressure during work activities. The population in this study were outpatient, inpatient and emergency nurses at Ibnu Sina Islamic Hospital, Bukittinggi in 2025 This study used a quantitative method with a cross-sectional approach, analyzing the relationship between one variable and another. This study had 130 samples consisting of outpatient nurses, inpatient nurses, and emergency room nurses. Sampling was carried out using a total sampling technique. The results of this study indicate a significant relationship between workload and burnout at a significance level of 0.00 (≤ 0.05). There is a significant relationship between workload and nurse fatigue at Ibnu Sina Islamic Hospital Bukittinggi in 2025.

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

Cashier service plays a crucial role in cooperative operations as it is directly related to members’ financial transactions. Service quality contributes to member satisfaction and loyalty, which in turn affects cooperative performance. This study aims to evaluate the role of cashier services in cooperative performance and member satisfaction at the Koperasi Simpan Pinjam Credit Union Bahtera Sejahtera. A descriptive qualitative approach was employed using observation, interviews, and documentation as data collection techniques. The findings indicate that the cashier service system has generally been implemented well and is positively perceived by members. However, several constraints remain, particularly during peak service hours, including long waiting times caused by the limited number of cashier staff and overlapping responsibilities with customer service functions. These conditions reduce service responsiveness. Nevertheless, cashier services significantly contribute to enhancing member satisfaction and supporting cooperative performance through efficient financial transactions and increased member trust. Improvements in service efficiency and task allocation are therefore recommended to optimize cashier service quality.

Social protection programs in Indonesia play a strategic role in poverty alleviation and supporting economic development. One form of social protection implementation at the regional level is the Depok Prosperity Card (KDS) Program, implemented by the Depok City Government as a means of ensuring food security for underprivileged communities. However, the program's implementation has been deemed incompletely transparent and poorly targeted, as expressed by several members of the Depok City Council (DPRD). Therefore, this study aims to analyze the implementation of the city's food security policy through the Depok Sejahtera Card Program in Tanah Baru Village, Depok City. This study uses Charles O. Jones's policy implementation theory, which encompasses three main indicators: organization, interpretation, and implementation. The research method used is descriptive with a qualitative approach. The results indicate that, from an organizational perspective, the Depok Sejahtera Card Program has been implemented quite well, characterized by a clear division of tasks among relevant stakeholders. From an interpretive perspective, the program has a strong legal basis through Depok Mayor Regulation Number 79 of 2022 and aims to reduce poverty. However, various obstacles remain in the implementation aspect, resulting in program implementation not being optimal and efficient. Nevertheless, the program is considered beneficial for recipient communities, although an increase in the amount of assistance is still needed to meet food needs for a period of one month.

Child trafficking is an organized crime that exploits children in various forms and is still prevalent in Indonesia. This continues despite law enforcement efforts and regulations on child protection in an attempt to combat it. The purpose of this study is to examine the efforts made in handling child trafficking crimes in Bandar Lampung City through a case study approach to Case Number 311/Pid.Sus/2024/PN Tjk. The methods used are a normative legal approach and a legal approach. The findings of the study indicate that the crime prevention strategy is pursued through penal mechanisms with the application of criminal provisions based on Article 83 of Law Number 17 of 2016 of the Republic of Indonesia, which stipulates Government Regulation in Lieu of Law Number 1 of 2016 as the second amendment to Law Number 23 of 2002 concerning Child Protection, as well as a non penal approach in the form of strengthening supervision, optimizing the Task Force on Human Trafficking Crimes, increasing public awareness, active reporting, supporting victim rehabilitation, and education to strengthen child protection and resilience.

This study examines the management of Kediri Nite Carnival (KNC), an annual event organized by the Kediri City government to commemorate the city's anniversary and showcase local arts, culture, and tourism potential. This research uses qualitative methodology and employs literature analysis, observation, and documentation as case study methods. The Miles and Huberman interactive model is used to analyze the data. The Kediri City Tourism Office has implemented each stage of event management according to Goldblatt's concept: research, design, preparation, coordination, and evaluation. The focus of the research was to determine the objectives and target audience; the design highlighted the local cultural theme “Exotic Flower in Paradise”; planning included budget planning, scheduling, and promotional strategies through social media and collaboration with local media; coordination was carried out through task distribution and cross-team communication; and evaluation assessed the success of the event based on community feedback and its effects on tourism and the local economy. The research results show that KNC plays an important role in improving the public's perception of Kediri City as a creative and cultured city. However, efforts to increase the number of tourist visits in the long term still need to be made. It is hoped that these findings will help the local government develop a sustainable tourism communication plan.

The Indonesia–European Union Comprehensive Economic Partnership Agreement (IEU-CEPA) signed in September 2025 opens significant economic opportunities through the elimination of 98% of tariffs and broader access to the European Union market. However, the implementation of this agreement poses serious challenges for Micro, Small, and Medium Enterprises (MSMEs), which contribute 60% of GDP and absorb 97% of the national workforce. This research analyzes the readiness of Indonesian national law in supporting MSME participation in facing IEU-CEPA implementation using normative juridical methods with statutory and conceptual approaches. The research findings show that although IEU-CEPA offers 0% tariffs for 95% of Indonesian products, MSMEs face barriers in meeting European Union technical standards such as Technical Barriers to Trade (TBT), Sanitary and Phytosanitary Measures (SPS), and European Union Deforestation Regulation (EUDR). National regulations such as Law Number 20 of 2008 and Government Regulation Number 7 of 2021 have not yet regulated mechanisms for assisting MSMEs in meeting international standards, traceability systems, and special legal protection. The research recommends comprehensive legal harmonization and reform strategies including regulatory revision, establishment of an IEU-CEPA Task Force for MSMEs, adequate budget allocation, capacity building programs, and strengthening legal protection mechanisms to ensure MSMEs optimally utilize IEU-CEPA opportunities.