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Hospitals, as institutions providing healthcare services, must maximize technological advancements. One such advancement is the use of SIMRS (Hospital Management Information System) in accordance with the Indonesian Minister of Health Regulation No. 82 of 2013. The use of SIMRS is predicted to enhance the hospital's efficiency, effectiveness, professionalism, performance, as well as access and services. Nurses' satisfaction in using SIMRS will impact the improvement of patient care quality. One method to evaluate user satisfaction with SIMRS is EUCS (End User Computing Satisfaction), developed by Doll and Torkzadeh, which consists of five dimensions: content, format, accuracy, ease of use, and timeliness. This study aims to determine the relationship between the application of the EUCS method and nurses' job satisfaction in the use of SIMRS at RSUD dr. Doris Sylvanus Palangka Raya. Methods: This research is correlational, employing a cross-sectional design. Respondents were selected using purposive sampling and the chi-square statistical test was used. The sample consisted of 175 inpatient nurses at RSUD dr. Doris Sylvanus Palangka Raya. Results: The chi-square statistical test showed a p-value = 0.000, or a significance level of p < 0.05, indicating that there is a relationship between the application of the EUCS method and nurses' job satisfaction in the use of SIMRS at RSUD dr. Doris Sylvanus Palangka Raya. Conclusion: Effectiveness and efficiency are the primary goals of SIMRS usage, which creates convenience and transparency, ultimately expected to enhance nurses' job satisfaction.

The rapid growth of data-intensive applications has posed significant challenges for classical machine learning (ML) algorithms, particularly in terms of computational efficiency and scalability. This study explores the role of quantum computing in optimizing machine learning performance through the implementation of Quantum Machine Learning (QML), specifically using the Quantum Support Vector Machine (QSVM) model. The research adopts a Design Science Research approach, involving problem identification, model development, system implementation, and performance evaluation. Both classical Support Vector Machine (SVM) and QSVM models are developed and tested using benchmark classification datasets. The results indicate that QSVM outperforms the classical SVM model across multiple evaluation metrics, including accuracy, precision, recall, and F1-score. Additionally, QSVM demonstrates improved computational efficiency by reducing training time, particularly when handling high-dimensional data. These improvements are attributed to the ability of quantum computing to utilize quantum kernel methods and map data into higher-dimensional feature spaces, enabling better pattern recognition and classification performance.  Despite these promising outcomes, the study also identifies several limitations related to current quantum hardware, such as noise, decoherence, and limited qubit availability, which may affect scalability and practical implementation. Therefore, further research is required to enhance quantum hardware reliability and develop hybrid quantum-classical models. In conclusion, quantum machine learning offers a promising solution to overcome the limitations of classical approaches, providing enhanced performance and efficiency for complex data processing tasks in future intelligent systems.

This study presents the development of a smart grid system designed to efficiently integrate renewable energy sources into the existing electrical grid. The proposed system employs advanced communication technologies and real-time data analytics to optimize energy distribution and consumption. A simulation model was created to evaluate the system's performance under various scenarios, demonstrating significant improvements in energy efficiency and reliability. The findings indicate that the smart grid system can enhance the stability of the electrical network while promoting the use of sustainable energy sources.

This systematic literature review explores the role of psychoneuroimmunology (PNI)-based mind-body interventions in improving wound healing within nursing practice. Wound healing is a complex, multifactorial process influenced not only by cellular and molecular factors but also by psychological and immune responses. Despite the growing body of evidence supporting the efficacy of mind-body practices such as guided imagery, hypnotherapy, and meditation in managing stress and modulating immune responses, there is limited integration of these interventions into clinical nursing practices. This review aims to bridge this gap by synthesizing studies published between 2020 and 2024 that examine the impact of these interventions on wound healing outcomes. The review follows the PRISMA protocol, analyzing data from 50 primary studies focusing on RCTs, systematic reviews, and quasi-experimental designs. The results show significant improvements in wound closure rates, pain reduction, and immune modulation (e.g., reduction in cortisol and pro-inflammatory cytokines) in patients who received mind-body interventions. The findings support the hypothesis that mind-body interventions, by addressing both psychological stress and immune function, enhance wound healing. The proposed framework for integrating PNI-based interventions into nursing practice could improve patient outcomes in chronic wound management. Future research should focus on long-term studies with larger sample sizes and standardized intervention protocols to further validate these findings.

This study investigates the impact of gamified learning platforms on the development of critical thinking and problem-solving skills among middle school students. With the increasing reliance on digital tools, fostering these essential skills has become a critical educational goal. Traditional teaching methods often fail to engage students effectively, which has led educators to explore innovative approaches such as gamified learning. The experimental design of this study involved two groups: an experimental group using gamified learning platforms and a control group following conventional teaching methods. Data were collected through pre-tests and post-tests measuring students' critical thinking and problem-solving abilities. Results indicated that the experimental group showed a significant improvement in both skills, with a 20-point increase in their scores, while the control group exhibited minimal progress. The findings highlight that gamified learning, which integrates game mechanics such as points, rewards, and leaderboards, enhances engagement and motivation, leading to improved cognitive skills. This study emphasizes the potential of gamification to revolutionize educational practices, suggesting that its integration can be a powerful tool to equip students with the necessary skills for the future.

This study explores the potential of mobile educational applications to enhance student-centered inquiry-based learning (IBL) in secondary school classrooms. As traditional, teacher-centered pedagogies fail to adequately engage students in critical thinking and problem-solving, IBL offers a promising alternative that encourages active participation and deeper learning. The research investigates how mobile applications can support IBL by facilitating the inquiry process, such as data collection, hypothesis formulation, and collaboration. Through a quasi-experimental design involving secondary school students, the study compares the effectiveness of traditional teaching methods and mobile-assisted IBL. Results indicate that students using mobile applications showed significant improvements in critical thinking, engagement, and academic performance compared to those taught through traditional methods. Teachers and students both reported high satisfaction with mobile apps, particularly in terms of ease of use and educational value. The findings suggest that integrating mobile technologies into the classroom can create more interactive, accessible, and personalized learning experiences, fostering critical thinking and enhancing student outcomes. However, challenges related to infrastructure, teacher training, and digital literacy must be addressed to fully harness the potential of mobile-assisted inquiry-based learning.

This study explores the development and evaluation of an adaptive Intrusion Detection and Response System (IDRS) driven by Reinforcement Learning (RL) for securing 5G networks. The RL-based IDS is designed to overcome the limitations of traditional security systems by dynamically learning from real time network traffic and adapting to emerging cyber threats. Introduction: The rapid growth of 5G networks, with their increased number of connected devices and complex traffic patterns, necessitates advanced security solutions that can detect and respond to evolving cyberattacks. Literature Review: Traditional Intrusion Detection Systems (IDS), including signature based and anomaly based methods, are not equipped to handle the dynamic nature of 5G networks, leading to high false positives and low detection accuracy. In contrast, RL offers significant improvements in adaptability, detection accuracy, and response time. Materials and Method: The study simulates 5G network traffic and develops an RL-based IDS using Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO) techniques. The performance of the RL-based system is compared to traditional IDS systems, focusing on detection accuracy, false positive rates, and response times. Results and Discussion: The RL-driven IDS demonstrated superior performance, achieving higher detection accuracy (95%) and faster response times (30 milliseconds) compared to traditional methods. However, challenges such as computational cost and model interpretability were identified. The study emphasizes the importance of adaptive learning mechanisms and the integration of RL into Zero Trust Architecture (ZTA) to enhance the security of 5G networks.

This study aims to assess patient satisfaction and analyze the quality of dental health services at Svarta Dental Care Bandung clinic. Using a descriptive research design with a sample size of 30 people and accidental sampling, the research instrument was a questionnaire. Data analysis included univariate analysis and Importance Performance Analysis (IPA) using a Cartesian diagram. The results indicated a high level of conformity between reality and expectations across five quality dimensions, emphasizing the need for regular evaluations and improvements in service quality to enhance patient satisfaction.

The study evaluates the effectiveness of implementing a pickleball training model for middle-aged journalists in Surabaya, focusing on those aged 45-54. The research utilizes a quantitative one-group pretest-posttest design, with 33 male journalists participating. Over three weeks, participants engaged in eight pickleball training sessions. The study measures improvements in executing forehand, backhand, and serve shots using observational criteria. IBM SPSS Statistics 26 was employed for data analysis, using the Wilcoxon signed-rank test due to the non-normal distribution of data. Results indicate significant improvements in all measured skills, evidenced by a p-value < 0.05. The average skill improvement was 65.53%, with specific gains in forehand, backhand, and serve skills noted. These findings suggest that pickleball not only enhances physical fitness but also contributes positively to emotional well-being, thanks to the enjoyable and social nature of the sport. The study highlights pickleball's low injury risk and its suitability for middle-aged individuals, promoting both physical health and social interaction. However, the absence of a control group is a limitation; future research should consider comparative studies to validate these findings further. Overall, pickleball appears to be an effective, enjoyable form of exercise for middle-aged professionals, enhancing both physical and psychological health.

As part of the final project for the Independent Study Certified Campus Merdeka program, we developed a prototype of the Any.do application through a redesign effort by applying the Design Thinking methodology. This project integrated various aspects of sustainable design into the User Interface (UI) and User Experience (UX), aligning them with user needs as well as environmentally-conscious business objectives. The primary aim of this final project was to explain the features and functionalities of the application that can contribute positively to environmental sustainability and create a more intuitive and user-friendly UI/UX experience. The evaluation results demonstrated positive feedback from users regarding the design improvements and the overall enhanced quality of the application experience.

This research explores the development and evaluation of a specialised English language curriculum for students in the field of multimodal transportation. Through qualitative analysis involving 100 cadets, the study identifies the specific language skills essential for success in this dynamic industry, including speaking, listening, reading, and writing. Based on these findings, a curriculum is designed to enhance students' proficiency and confidence in using English for various transportation-related tasks. The curriculum incorporates industry-relevant content and interactive instructional methods, such as role-plays and simulations, to provide students with practical skills applicable to real-world transportation scenarios. Pre- and post-curriculum assessments, along with feedback from students and instructors, demonstrate a significant improvement in students' language proficiency and confidence after completing the curriculum. The study also analyses the implications of English Language Teaching (ELT) and English for Specific Purposes (ESP) linguistics in designing a curriculum tailored to the needs of multimodal transportation professionals. The research contributes to the advancement of English language education within the transportation sector, offering insights for curriculum development and improvement.

This study examines the English textbook "English Class X for SMA/MA/SMK/MAK Revised Edition 2017" through the lens of Tomlinson's theoretical framework to ascertain its effectiveness in facilitating language acquisition. Using a descriptive approach and document analysis, the study focused on book contents, examining elements such as impact, learner comfort, confidence building, relevance, language exposure and more. Data collection involved examining the content of the textbook, while analysis included subjective and objective ratings based on Tomlinson's sixteen criteria for effective learning materials. Results showed that the textbook was generally in line with Tomlinson's standards, meeting fifteen of the sixteen criteria, including impactful materials, learner engagement, and diverse learning opportunities. However, the textbook was lacking in facilitating learner self-investment. In addition, the study suggests improvements in physical design to enhance attractiveness. The textbook "English Class X" overall meets the criteria as a quality learning resource with diverse and engaging content, supporting effective language learning. This analysis provides important insights for informed textbook selection that fit within a pedagogical framework, aiming to improve student learning outcomes.  

This study aims to examine the effect of features and ease of use on user satisfaction of the Si Rekap KPU Application used in supporting the vote counting and recapitulation process in the 2024 Election. The research method uses a quantitative approach with an experimental design. Data was collected through a questionnaire distributed to 75 KPPS officers from the East Java region who had carried out the vote counting and recapitulation process in the 2024 Election using the Si Rekap KPU Application. The questionnaire was used to obtain data on perceived ease of use, usefulness, and acceptance of application information technology. The results showed that the ease of use and usefulness of application features had a significant positive effect on user satisfaction, with a contribution of 70% and 73%, respectively. Acceptance of application information technology by users also has a significant positive effect on user satisfaction with a contribution of 75%. Based on these results, it can be concluded that feature improvements, ease of use, and building user acceptance are needed to increase user satisfaction with the Si Rekap KPU Application in supporting the election process. Application improvements based on evaluation results are expected to optimize its performance.

Learning in the implementation of the independent curriculum demands educators to focus on competency development and the quality of learning, flexibility in time and learning materials, as well as character reinforcement. Action Research in this case aims to enhance learning participation using the case method in Social Studies lessons at SMP Negeri 3 Lembah Gumanti. The subjects of this research are 33 students from Class VII.1 at SMP Negeri 3 Lembah Gumanti. The research is designed in the form of Classroom Action Research (PTK), which consists of planning, implementation, observation, and reflection. The research itself is conducted in 2 cycles. Data is collected through observation sheets and assisted by an observer, then analyzed descriptively. There is an improvement in student learning participation through the implementation of the case method in Social Studies lessons in Class VII.1 at SMP Negeri 3 Lembah Gumanti. The improvement is evident from the increased percentage of learning participation in the first cycle, which is 55.55%, and a significant increase in the second cycle, which is 83.33%. The use of the case method enhances learning participation, including motivation in completing tasks, the courage to express opinions and respect others' opinions in learning, as well as problem-solving. Such conditions are part of the goals of learning in the implementation of the independent curriculum, which emphasize active and participatory learning.

The selection of the best students in schools is essential to recognize both academic and non-academic achievements and to motivate other students to improve their skills. SMP Negeri 16 Jakarta requires an objective decision support system to select the best students based on predefined criteria. This study aims to design and implement a decision support system using the Simple Additive Weighting (SAW) method to facilitate the selection of the best students at SMPN 16 Jakarta. The SAW method is chosen due to its capability to accommodate multiple criteria through weighting and ranking for each alternative. The research process involves observation, interviews, and documentation, which are then used to determine primary criteria such as academic achievement, social skills, and participation in school activities. The findings show that the application of the SAW method enables a more accurate and objective selection of the best students by ranking based on the final score of each criterion. This system is expected to assist SMPN 16 Jakarta in making more structured decisions and supporting educational quality improvement.

Energy efficiency is a critical concern in wireless sensor networks (WSNs) due to the limited power resources available in sensor nodes. Prolonging network lifespan while ensuring reliable data transmission is essential for successful deployment in various applications, such as environmental monitoring, military operations, and industrial automation. This paper presents a mathematical model designed to optimize energy consumption across various nodes in WSNs. By implementing simulations and analyzing data from these models, the study demonstrates significant improvements in extending network lifespan while maintaining reliable data throughput. The findings contribute valuable insights into energy management for large-scale sensor deployments.

Teachers have an important role to produce the next generation of the nation. Future teachers need to keep up with technological developments in learning. One of the technologies needed in learning is designing learning media with the help of sparkol videoscribe. Sparkol videoscribe serves as an intuitive tool for creating animated whiteboards and explainer videos. The implementation of the workshop consists of 5 stages of preparation, mentoring, making videos with the sparkol videoscribe application, validating the resulting learning videos and improving the videos until they are suitable for use. This activity was attended by KKG cluster one Saparua District, Central Maluku. The result obtained in this service is that the teachers gave a positive response regarding this activity. Teacher competence in making media in the form of learning videos obtained results as much as 75% suitable for use, but after there was an improvement increased to 93% of the learning videos produced suitable for use.

This service activity was motivated by observation data which showed that the literacy skills of grade 5 students were quite low. The implementation of the service aims to provide students with better thinking skills regarding various problems that arise in questions through class AKM which is carried out in 2 sessions, namely pre-test and post-test. This activity was implemented in class 5, which was attended by 18 students. Service activities consist of 3 stages, namely planning, implementation and evaluation. The results of the service show a significant increase in students' literacy abilities. The increase in AKM scores in class V was supported by the successful implementation of the work program that had been designed by students. From the pre-test to post-test AKM test activities there was good improvement and quite a high increase in literacy skills among students.

Vocabulary, comprising words acknowledged by individuals or inherent to a particular language, is essentially a collection of linguistic elements. Vocabulary is being an important element to support students’ competence in English. The aim of this study is to examine and enhance students' vocabulary achievement at SMAN 1 Sutojayan, specifically in class XI MIPA 2, using Blooket as a learning tool. In this research, a quantitative methodology is utilized, employing a one-group pre-test post-test design. The research subjects consist of 35 students from class XI MIPA 2. The findings of this investigation demonstrate that the null hypothesis (Ho) was disapproved, while the alternative hypothesis (Ha) was affirmed, revealing a notable mean disparity between pre-test and post-test results. This research provides a deeper understanding of the importance of enriching students' vocabulary during the learning process, as well as establishing a strong foundation for the development of more effective teaching strategies to enhance students' vocabulary comprehension in the future. The findings of this study can be a valuable contribution to efforts aimed at improving the quality of education at SMAN 1 Sutojayan and similar educational institutions. Future research is highly recommended to explore an other tool for students’ vocabulary improvement.

Non-hemorrhagic stroke is a clinical sign of dysfunction or damage to brain tissue caused by lack of blood flow to the brain, thereby disrupting the need for blood and oxygen in brain tissue. Slow stroke back massage therapy is a non-pharmacological therapy to overcome problems in patients with stroke. This research aims to be able to carry out nursing care for clients with non-hemorrhagic stroke using slow stroke back massage therapy in the Flamboyan Room at RSUD dr. T.C Hillers Maumere. The research design used was a case study. The approach used is a nursing care approach which includes identifying data from assessment results, nursing diagnoses, planning, implementation and evaluation. Slow stroke back massage therapy is carried out for 3 days. Data collection techniques used a medical-surgical nursing care assessment format, observation and literature study. The results of the case study showed that clients were diagnosed with ineffective cerebral perfusion and impaired physical mobility. The application of slow stroke back massage therapy showed improvements or changes on the third day, which resulted in the client experiencing a decrease in blood pressure from 180/100 mmHg to 160/90mmHg, not complaining of dizziness, and the patient's right hand was starting to be able to move. The conclusion of this case study is that slow stroke back massage therapy is effective in reducing blood pressure and also helps in increasing physical mobility in non-hemorrhagic stroke patients.