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The integration of Augmented Reality (AR) technology into higher education has emerged as a promising approach to enhance collaborative learning experiences. This study aims to design and evaluate an AR multimedia framework that facilitates real time interaction and spatial visualization, creating immersive and engaging learning environments for students. The AR framework was developed with a focus on improving student engagement, collaboration, and learning outcomes through interactive 3D models and real time feedback. By leveraging AR technology, the study sought to address common challenges in traditional learning environments, such as limited student interaction and engagement, and lack of real time feedback. The experimental evaluation involved two student groups: one using the AR-based system and the other using conventional multimedia tools. Findings revealed that students using the AR framework showed significant improvements in engagement, interaction frequency, and collaborative task performance. Additionally, the AR framework contributed to better learning outcomes, including enhanced comprehension, retention of complex concepts, and improved problem-solving skills. The study also highlighted the importance of incorporating a user-centered design approach in developing AR applications to ensure that the system meets the needs and preferences of learners. Qualitative feedback from students indicated that the AR system provided an enriched learning experience, although challenges such as interface navigation were noted. Overall, the study demonstrates the effectiveness of AR in fostering collaborative learning and offers practical insights for its integration into higher education curricula. Future research should explore the integration of AR with other immersive technologies to further enhance collaborative learning experiences.

The increasing adoption of cloud native microservices has brought about significant improvements in scalability, flexibility, and resilience. However, these advancements also introduce substantial security challenges, particularly in distributed environments where traditional perimeter-based security models prove inadequate. This paper proposes a secure architecture for cloud native microservices that integrates Zero trust Network Access (ZTNA) and multi layered encryption techniques to address these security concerns. The architecture operates on the principle of "never trust, always verify," ensuring that access to resources is strictly controlled and continuously monitored. By incorporating multi layered encryption methods such as RSA and AES, the architecture ensures data protection both in transit and at rest, significantly reducing the risk of data breaches and unauthorized access. Through experimental evaluations, the proposed architecture demonstrated its effectiveness in preventing lateral movement, mitigating data leakage, and resisting common attack vectors such as man-in-the-middle (MITM) attacks and privilege escalation. Additionally, the performance of the system remained optimal, with minimal overhead despite the additional security layers. The architecture's scalability and robust security mechanisms make it a viable solution for real-world microservices environments, where both security and performance are crucial. This paper discusses the potential impact of this secure architecture on the broader field of distributed system security and offers recommendations for future work, including the integration of advanced machine learning techniques for real-time threat detection and automated responses, as well as the adaptation of the architecture for emerging technologies like edge computing and 6G networks.

Digital transformation (DT) has become a critical component for organizations aiming to enhance their operational efficiency, innovation, and competitiveness. However, many organizations struggle to achieve successful digital transformation due to the misalignment between their Enterprise Information Systems (EIS) and organizational strategic goals. This research seeks to design and validate a model for aligning EIS with digital transformation strategies to improve organizational effectiveness. By adopting the Design Science Research (DSR) approach, this study develops a practical model that integrates strategic planning, process management methodologies, and emerging technologies to facilitate alignment between IT and business strategies. The research includes key steps such as requirement analysis, artifact design, expert validation, and case study evaluation to ensure the model's robustness and applicability across different organizational contexts. Findings indicate that the proposed model significantly improves strategic-system alignment, enhances decision-making consistency, and facilitates better integration between business and IT units. The model also addresses common challenges such as resistance to change, skill gaps, and misalignment, fostering a supportive culture for digital transformation. In comparison to existing descriptive frameworks, the proposed model is more structured, adaptable, and actionable, providing organizations with a clear framework to guide their digital transformation efforts. This research contributes to the growing body of knowledge on EIS alignment and offers practical insights for organizations seeking to achieve successful digital transformation. Future research could explore the model's application in various organizational settings and examine its impact on long-term organizational growth and innovation.

Digital transformation initiatives have become essential for organizations seeking to remain competitive in today’s rapidly evolving technological landscape. However, many organizations face challenges due to ineffective Information Systems (IS) governance, which hampers strategic decision-making and the successful execution of these initiatives. This study aims to develop an IS governance framework that enhances decision-making quality by aligning IT decisions with organizational goals during digital transformation efforts. The proposed framework addresses existing gaps in current IS governance models, offering a solution to common challenges such as inadequate governance structures, resource constraints, and misalignment between IT and business strategies. The framework was developed through a mixed-method approach, including conceptual framework development, expert consensus via the Delphi method, and organizational validation studies. Key findings reveal that the framework improves transparency in decision-making, enhances accountability for IT decisions, and ensures better alignment between IT strategies and organizational objectives. By embedding agile leadership and data-driven decision-making principles, the framework enables organizations to respond effectively to the fast-changing dynamics of digital transformation. This study also compares the proposed framework to existing models such as COBIT and ITIL, highlighting its unique features, including its adaptability to the fluid nature of digital transformation. The framework's strengths include its comprehensiveness and flexibility, though its application may face challenges in organizations with limited digital maturity or rigid governance structures. Future research directions include exploring the integration of emerging technologies into the framework and its applicability across different organizational contexts.

Flower disease detection is a common challenge in modern agriculture. Various factors, such as changes in leaf color, shape, petal structure, and environmental conditions, make it difficult to achieve high accuracy with conventional models. Transfer learning is an effective solution to improve model performance in image detection, especially when available data is limited. This study used several pre-trained models, namely VGG16, ResNet50, and EfficientNet-B0, to detect three types of flower diseases: black spot on roses, white powdery mildew, and leaf rust. The process included data processing, increasing the data volume, model training, and result verification. The results showed that the EfficientNet-B0 model provided the highest accuracy of 97.2%, significantly better than the CNN model created from scratch with an accuracy of 85.1%. This study proves that the transfer learning method is very effective in improving the accuracy of flower disease detection. These results confirm that transfer learning is effective for detecting plant diseases with higher accuracy, especially when the dataset is limited.  

Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

This study aims to analyze the factors affecting real wages of construction workers across provinces in Indonesia from 2010 to 2023 using panel data analysis. The independent variables include Provincial Minimum Wage (UMP), Consumer Price Index (CPI), Open Unemployment Rate (TPT), and Performance Pay (Balas Jasa). A panel dataset of 476 observations from 34 provinces over 14 years was analyzed using three model approaches: Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The best model was determined through Chow Test, Hausman Test, and Lagrange Multiplier Test, which confirmed that the Fixed Effect Model (FEM) is the most appropriate for analyzing this research data. FEM estimation results show that simultneously, all independent variables (UMP, CPI, TPT, and Performance Pay) have a significant effect on real wages with an F-statistic value of 436,465.9 (p-value = 0.0000 < 0.05), indicating that the model as a whole is highly valid and capable of explaining the variation in real wages collectively. However, partial tests reveal that only the Real Wage variable has a positive and statistically significant effect on Performance Pay (coefficient = 106.3320; t-statistic = 1276.083; p-value = 0.0000), while UMP (p-value = 0.1472), CPI (p-value = 0.6460), and TPT (p-value = 0.6934) show no significant effects at the 5% significance level. The research model demonstrates very high predictive ability with an R-squared value of 0.999735 (99.97%), indicating that the variables studied can explain nearly all variation in real wages of construction workers at the provincial level. This research provides policy implications that improving real wages in the construction sector requires an integrated approach that focuses not only on minimum wage setting but also on regional inflation control, human capital quality improvement, and creating conducive labor market conditions through unemployment reduction

This study focuses on analyzing the welfare index in the ASEAN region (covering six major countries) by comparing two perspectives: objective welfare (Human Development Index/HDI) and subjective welfare (World Happiness Index). Using a balanced panel dataset from 2015–2023, the research applies different econometric approaches for each model, namely the Random Effect Model (REM) for HDI analysis and the Common Effect Model (CEM) for happiness analysis. Empirical findings indicate a striking welfare paradox across the six sample countries. In the objective dimension (HDI), economic stability (GDP) and governance free from corruption (CPI) are proven to be the main positive and significant drivers, while government expenditure (GovExp) shows no meaningful impact, suggesting budget inefficiency. Conversely, in the subjective welfare model, the Easterlin Paradox emerges, as GDP and the corruption index have no significant effect on the happiness index. The happiness levels in these six countries tend to be more influenced by government expenditure. This study concludes that strong economic fundamentals and clean governance free from corruption are essential to building a high quality of human life, whereas citizens’ life satisfaction is more determined by the direct presence of the state through public spending.

Employee work engagement is the extent to which employees are able and willing to commit to an organization, and the results of such commitment can be observed in their performance and tenure. This study aims to examine the effect of transformational leadership style and job satisfaction on work engagement through perceived organizational support at PT. Viva Vegas Ventury Denpasar. The study was conducted at PT. Viva Vegas Ventury Denpasar with a total sample of 45 employees. The sampling technique used was saturated sampling. Data were collected through observation, interviews, questionnaires, and documentation. The analytical method employed was a variance-based structural equation modeling, commonly known as Partial Least Squares (PLS). The results of the analysis show that transformational leadership style, job satisfaction, and perceived organizational support have a positive and significant effect on work engagement. Transformational leadership style and job satisfaction also have a positive and significant effect on perceived organizational support. Moreover, perceived organizational support mediates the influence of transformational leadership style and job satisfaction on work engagement.

This study employs the Systematic Literature Review (SLR) method following the PRISMA 2020 Statement guidelines to identify the main models and indicators used in measuring the performance of Micro, Small, and Medium Enterprises (MSMEs). The literature selection process includes the stages of identification, screening, eligibility assessment, and inclusion, resulting in ten articles from reputable Q1 international journals. The analysis reveals that the most frequently used performance measurement models are integrated performance models such as the Balanced Scorecard, Performance Prism, and models based on resource capability, customer, internal process, and financial perspectives. Commonly used indicators include sales growth, profitability, market share, customer satisfaction, process flexibility, technology adoption, and business sustainability. The study concludes that although financial measures remain dominant, non-financial dimensions—such as digital capability, stakeholder engagement, and internal process effectiveness—are increasingly important for MSMEs operating in the context of global market dynamics and digital transformation. The implications of this study provide theoretical contributions to the development of MSME performance measurement frameworks and offer practical guidance for MSME managers in selecting indicators that align with the characteristics of small and medium-sized enterprises.

The development of digital technology has changed the way Islamic Religious Education (IRE) is taught, encouraging the use of digital media as a means to improve interaction, motivation, and understanding among students. This study aims to examine the methodology for developing digital-based IRE learning media, identify the supporting and inhibiting factors for its implementation, and formulate a systematic and contextual methodological framework. The study uses a descriptive qualitative approach through document analysis and systematic literature review of scientific articles, research reports, and methodology books published between 2019 and 2025. The analysis was conducted through reduction, grouping, interpretation, and content analysis to map development models, validation techniques, pedagogical principles, and the suitability of media to student characteristics. The results show that the most commonly used development models include ADDIE, Borg & Gall, 4-D, and iterative approaches such as SAM. The successful implementation of digital media is greatly influenced by teacher readiness, student digital literacy, content suitability with the curriculum, and institutional infrastructure and policy support. These findings emphasize the importance of content validation by experts, the integration of religious moderation values, and continuous training for teachers so that media can be used effectively, relevantly, and ethically. This study is expected to be a reference for PAI developers and educators in creating  

This research compares development administration models between developed and developing countries. Using comparative analysis, this study evaluates policies and best practices from both contexts. Research findings reveal significant differences in development approaches and outcomes, as well as implications for policy development. The analysis demonstrates that developed countries predominantly employ post-bureaucratic, participatory, and innovation-driven models characterized by strong institutional capacity, high levels of digitalization, decentralized decision-making, and robust accountability mechanisms. In contrast, developing countries frequently rely on hybrid models combining traditional bureaucratic structures with nascent reforms, constrained by limited resources, capacity gaps, institutional weaknesses, and political economy challenges. Critical differentiators include governance quality, administrative capacity, technological infrastructure, resource availability, stakeholder participation levels, and policy implementation effectiveness. Despite contextual differences, successful development administration in both settings shares common elements, including political commitment, adaptive capacity, citizen engagement, evidence-based policymaking, and continuous learning mechanisms. The research identifies transferable lessons and contextual adaptation requirements for developing countries seeking to enhance their development administration systems.

 Health problems related to lifestyle, especially diabetes mellitus, are increasingly common in communities with limited knowledge of balanced nutrition. This community service program aimed to promote health awareness and prevent diabetes mellitus through education on balanced nutrition among adult residents. The method used was participatory education, consisting of counseling sessions, group discussions, and demonstrations on meal planning and portion control. Participants were guided to understand the importance of maintaining blood sugar levels through dietary regulation and physical activity. The results showed an increase in participants’ knowledge and awareness regarding healthy eating patterns and diabetes prevention. Many participants reported behavioral changes, such as reducing sugar consumption and increasing the intake of vegetables and fruits. The activity also fostered a supportive environment for adopting healthy lifestyles in the community. It is concluded that balanced nutrition education effectively enhances community understanding and preventive behavior against diabetes mellitus. This program can serve as a model for similar community-based health promotion initiatives to reduce non-communicable disease risks in the future.

One of the most common problems that occurs for MSMEs is in their development. Therefore, it is necessary to pay attention to business performance in order to be able to survive and excel in competition. This study aims to test the influence of human resource competence, financial literacy, financial capital, and social capital on the performance of MSMEs in Tempel District, both partially and simultaneously. The research approach uses a quantitative method with questionnaire instruments distributed to 99 respondents of MSME actors through non-probability sampling techniques. Data analysis was carried out using the SEM-PLS method with the help of SmartPLS 4.1.0.9 software, through outer model testing (validity and reliability test) and inner model (VIF, GoF, R2 test and hypothesis test). Hypothesis testing is carried out through the t-test and the f-test. The results of the study show that partially human resource competence, financial literacy, and financial capital have a significant positive effect on the performance of MSMEs, while social capital has a positive but insignificant effect on the performance of MSMEs. The results of the research simultaneously show that human resource competencies, financial literacy, financial capital, and social capital have a significant effect on the performance of MSMEs. The implications of these findings emphasize the need for strategies to strengthen human resource competence, increase financial literacy, optimize financial capital, and develop social capital to strengthen the competitiveness and sustainability of MSMEs in the research area.

Hemodialysis is a medical procedure used to correct blood biochemical abnormalities caused by impaired kidney function, with the aid of a hemodialysis machine. One of the most commonly used accesses in this procedure is the Arteriovenous Fistula (AVF), which is an anastomosis between the artery and vein in the arm or other parts of the body to facilitate the cannulation process. However, during the AVF cannulation procedure, patients often experience pain, which can cause discomfort and anxiety. Cold compresses are one of the non-pharmacological techniques that can be used to alleviate this pain. This study aims to examine the effect of cold compresses on reducing pain during AVF cannulation in hemodialysis patients. This research uses a Quasi-Experimental design with a Pretest-Posttest Control Group Design model, involving 116 hemodialysis patients at RSI Sultan Agung Semarang. Patients were divided into two groups: the intervention group, which received cold compresses, and the control group, which did not receive treatment. Pain intensity was measured before and after cannulation using a visual analog scale (VAS). The results of the study show that the administration of cold compresses significantly reduced pain intensity, with a p-value of 0.000 (< 0.05). In addition, there was a significant difference in effectiveness between the intervention group and the control group, with the same p-value. In conclusion, cold compresses proved to be an effective, simple, safe, and easy-to-apply non-pharmacological intervention to reduce pain in hemodialysis patients during the AVF cannulation procedure. Therefore, the use of cold compresses can be recommended as a method to improve the comfort of hemodialysis patients.

Psychological violence against children remains a critical issue that is often overlooked because it does not leave visible physical injuries, yet its long-term consequences can significantly hinder children’s emotional, social, and academic development. Addressing this problem requires not only legal and institutional measures but also preventive efforts at the family and community levels. The Community Service Program (KKN) entitled “Safe Home Supporting Child Development” in Desa Nusawungu was designed as a community-based educational initiative to raise parents’ awareness of the importance of creating an emotionally safe home environment. The program was implemented through the Focus Group Discussion (FGD) method, which integrated structured material presentations, individual reflections using digital forms, and interactive group discussions. This combination allowed participants to gain knowledge, critically reflect on their own parenting practices, and share experiences with peers. The results revealed a notable increase in parents’ awareness of the detrimental effects of psychological violence on children’s well-being, their readiness to adopt positive parenting strategies, and their ability to identify challenges commonly faced in daily child-rearing practices. Moreover, participants expressed enthusiasm for sustaining similar activities in the future, highlighting the importance of continuous learning and the establishment of a parent learning community. The program demonstrated that simple, low-cost, and locally adapted interventions can effectively enhance parenting literacy, reduce the risk of psychological violence, and strengthen the developmental foundation of children during their golden age. These findings suggest that empowering parents through participatory education can serve as a replicable model for other communities facing similar challenges, thus contributing to the broader goal of ensuring children’s rights to grow in a safe and nurturing environment.

The low level of understanding among elementary school students regarding common diseases and their prevention can increase the risk of both communicable and non-communicable diseases from an early age. Therefore, effective health education efforts are essential to instill healthy habits in children. This community service activity aimed to improve the knowledge of elementary school students in the working area of Labuhan Sumbawa Public Health Center about common diseases and preventive measures through an interactive educational approach. The methods used included health counseling with visual media, engaging educational games, and small group discussions to encourage active participation. The activity was conducted in June 2025, involving 30 students from two elementary schools selected purposively. The educational content focused on dengue fever, diarrhea, influenza, helminthiasis, and acute respiratory infections (ARI), along with prevention strategies such as maintaining personal hygiene, consuming nutritious food, and the importance of immunization. Evaluation was carried out through pre-test and post-test assessments to measure the improvement in students’ understanding. The results showed a significant increase in students’ knowledge of the delivered material. Additionally, students demonstrated high enthusiasm and active involvement during the sessions, particularly in the educational games. These findings indicate that an interactive educational approach is effective in enhancing students’ understanding of disease prevention. This program is expected to serve as a model for sustainable health education in other elementary schools to prevent diseases from an early age and support the implementation of clean and healthy living behaviors within the school environment

One of the key indicators of nation’s health development is life expectancy, which reflects the overall quality of public health. As life expectancy increases, the prevalence of non-communicable diseases (NCDs) also tends to rise, with Type 2 Diabetes Mellitus (DM) being one of the most common. In Indonesia, the number of individuals with Type 2 DM has reached approximately 10.7 million, and this figure is projected to increase significantly to 21.3 million cases by 2030, posing a serious public health challenge. This study aimed to describe the process of clinical nutrition care based on the Nutrition Care Process (NCP) for a patient diagnosed with Radiculopathy accompanied by Non-Insulin-Dependent Diabetes Mellitus (without complications), Essential (Primary) Hypertension, Spondylosis, and Spinal Stenosis, through the application of a regulated diabetic diet (DM RG) during hospitalization. The case study was conducted in November 2024 at RSI Ayani Surabaya and involved systematic monitoring of food intake and clinical outcomes during treatment. Findings indicated that within three days of observation, the patient’s dietary intake reached the target goals, demonstrating effective implementation of the prescribed meal plan. From physical and clinical monitoring, a notable decrease in blood pressure was observed on the second and third days, suggesting improvements in cardiovascular response to dietary management. Additionally, the patient’s temperature, pulse, respiratory rate, and oxygen saturation remained within the normal range throughout the treatment period, further supporting the effectiveness of the intervention. These results emphasize the importance of structured nutrition care in managing patients with multiple comorbidities, particularly those with diabetes and hypertension, as dietary regulation plays a central role in stabilizing health conditions. Overall, the study demonstrates that the application of the NCP framework combined with consistent monitoring can lead to positive patient outcomes and highlights its potential as a model for improving clinical nutrition management in hospital settings.

On-task behavior problems are a common obstacle in the academic activities of school-aged children. Children often experience difficulty maintaining attention, are easily distracted, and exhibit frequent shifts of attention during learning. This has the potential to lead to decreased academic achievement and increased impulsive behavior. This study aims to determine the effectiveness of the shaping behavior modification technique in increasing the duration of on-task behavior. The subject of the study was a 4-year-old boy who exhibited attention problems while working on academic tasks. The research design used a one-group pretest-posttest design with a single-subject approach using an A-B-A data collection model. Data collection was carried out using a duration data sheet to measure the duration of on-task behavior through direct observation. Data analysis was conducted by comparing the average duration of on-task behavior before and after the intervention. The results showed that the shaping technique did not provide a significant increase in the duration of on-task behavior. Although there were fluctuations in the duration of increases and decreases during the intervention phase, these results were not sufficient to prove the effectiveness of shaping in this context. These findings indicate that the shaping approach is less than optimal when applied alone, and that additional intervention methods or other alternatives are needed that are more appropriate to the characteristics and needs of the child. This research provides implications for the importance of selecting appropriate and adaptive behavioral intervention techniques to help children improve focus and engagement in academic activities.  

Tartar is a common oral health problem among adolescents. Tartar forms from hardened plaque due to a lack of proper and regular brushing habits. If not treated early, this condition can lead to serious disorders such as gingivitis (gum inflammation) and periodontitis (damage to the supporting tissue of the teeth), which impact adolescents' quality of life and self-confidence. Therefore, education about the dangers of tartar and the importance of maintaining oral health is essential, especially in schools. This community service activity aims to increase adolescents' knowledge and awareness of the dangers of tartar and equip them with proper toothbrushing skills. The activity was held on July 5, 2025, at SMP Negeri 1 Manuju, Bilalang Village, Gowa Regency, and was attended by seventh and eighth grade students. The methods used included interactive education, simulations of toothbrushing techniques according to health standards, and the distribution of leaflets as additional information that students can access again. Evaluation was carried out through pre- and post-tests to measure knowledge gains, as well as direct observation of toothbrushing practices. The results of the activity showed a significant increase in students' knowledge scores, namely 31.3 points (from an average of 53.4 to 84.7). Furthermore, 92% of students were able to practice correct toothbrushing techniques. These results indicate that an educational approach combined with simulations and visual media is effective in increasing understanding and changing clean and healthy lifestyle behaviors in adolescents. This activity is expected to become a model for sustainable dental health education in schools and be replicated elsewhere.