Abstract:This study explores the application of AI-based technology in assessing students' practical skills through an experimental approach at MI NU Manbaul Huda. The background of this research stems from the challenges of traditional…
itional assessment methods, which are often subjective, time-consuming, and inconsistent. The study aims to evaluate the effectiveness of an AI-based assessment system in improving the accuracy and efficiency of practical skill evaluation. The methodology involves a quasi-experimental design, comparing an experimental group using the AI system with a control group using traditional methods. Data were collected through observation, questionnaires, and interviews with teachers and students. The results show that the AI system achieved an accuracy rate of 89%, significantly higher than the traditional method's 75%. Additionally, 85% of teachers and 90% of students expressed positive perceptions of the AI system. The study concludes that AI-based technology has the potential to transform practical skill assessment by providing objective, real-time feedback. This research contributes to the field of educational technology by demonstrating the feasibility and benefits of AI in primary education, particularly in Islamic-based schools. Recommendations include teacher training and infrastructure improvements to support broader implementation.
Keywords: AI-based assessment, practical skills, primary education, Islamic schools, educational technology.
Abstract:The focus of research on the statement is the strategy of developing human resources (HR) of the Army through a human capital approach in increasing the professionalism, capability, and effectiveness of military personnel…
l to support the operational success of the Army in facing various security challenges. The purpose of this research is to analyze the Human Resource Development Strategy of the Indonesian Army through the Human Capital Approach. The method used in this research is descriptive qualitative with SWOT analysis tools and tree analysis. The theory used in this research is human capital. The results showed that the strategies used for HR development with a human capital approach are (1) Improving the quality of education and training of soldiers through evaluation and inclusive curriculum development. (2) Utilizing good education and training to improve soldiers' capabilities through an integrated and sustainable human capital approach. (3) Improving the professionalism of soldiers through merit-based personnel management system reform. (4) Improving soldiers' welfare by providing access to specialized higher education through the Defense University. (5) Improving transparency and efficiency through information and communication technology, keeping soldiers' focus on the main task of defense. By adopting a human capital approach, the Army is expected to improve the quality and capability of soldiers, so that they are ready to face future challenges and support the achievement of the organization's strategic goals.
Abstract:This study aims to analyze public policy evaluation and environmental governance issues surrounding the Rempang Eco City Project in Indonesia, particularly following its exclusion from the National Strategic Project agenda.…
da. The research employs a qualitative approach using a case study method and systematic literature review from government regulations, scientific journals, environmental organization reports, official investigations, and national media coverage related to Rempang Island. Data were analyzed using public policy and environmental mitigation perspectives. The findings indicate that the Rempang Eco City policy generated serious social conflicts, ecological threats, and legal uncertainty due to weak community participation during the policy formulation process. From an environmental mitigation perspective, the industrialization of Rempang Island has the potential to trigger coastal ecosystem destruction, air and water pollution, coastal abrasion, loss of fishermen’s livelihoods, and prolonged social conflict. The government’s recent decision to remove Rempang Eco City from the National Strategic Project list is considered an important corrective policy. However, unresolved legal and environmental governance issues remain. Policy evaluation based on effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness demonstrates that the Rempang Eco City policy failed to fulfill the principles of sustainable development and good governance.
Abstract:This study aims to determine the optimal strategy for managing the supply chain of Pangasius (catfish) in Saguling Village, West Bandung Regency. The study applies the Food Supply Chain Network (FSCN) approach and Cost Plus…
lus Pricing to evaluate supply chain effectiveness and determine appropriate product pricing. Data were collected through observation, interviews, and documentation involving 50 respondents, consisting of fish farmers, middlemen, wholesalers, and market traders. The results indicate that the Pangasius distribution system still involves multiple intermediaries, resulting in relatively weak bargaining power for fish farmers. The distribution process takes approximately 1–2 days and is constrained by limited cold storage facilities, which affects product quality. Cost analysis shows that the cost of production is IDR 20,239.15 per kg, while the ideal selling price is IDR 22,263.06 per kg, with a profit margin of 10%. Improvements in the distribution system, better access to market information, and enhanced logistical support are necessary to increase distribution efficiency and improve farmers’ profitability.
Abstract:Digital transformation in healthcare services has significantly changed how healthcare professionals deliver clinical care, particularly in technology-based tertiary hospitals. Digital Health Competence (DHC) has become…
a crucial factor determining service effectiveness, clinical decision quality, and operational efficiency in modern healthcare organizations. This study aims to analyze the influence of digital health competence on healthcare service performance at King Abdullah Medical City (KAMC), Saudi Arabia, with work engagement as a mediating variable and organizational support as a moderating factor. This study employed a quantitative cross-sectional design. The sample consisted of 312 healthcare professionals at KAMC selected through stratified random sampling. Data were collected using a Likert-scale questionnaire ranging from 1 to 5 and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The findings revealed that digital health competence had a positive and significant effect on healthcare service performance (β = 0.412; p < 0.001). Digital competence also significantly influenced work engagement (β = 0.528; p < 0.001), while work engagement mediated the relationship between digital competence and healthcare service performance (β = 0.216; p < 0.001). Furthermore, organizational support strengthened the relationship between digital competence and work engagement. These findings indicate that digital competence not only improves service efficiency and quality but also functions as a psychological resource that enhances healthcare professionals’ motivation and dedication. Practically, the study provides important implications for hospitals in improving healthcare professionals’ digital competence through continuous training, the development of user-friendly digital systems, and adaptive organizational support.
Abstract:The complexity of modern healthcare services has led nursing personnel to face high workloads, intensive emotional demands, and dynamic, high-risk working environments. These conditions make nursing resilience an essential…
al psychological factor in maintaining the effectiveness and efficiency of nursing performance. This study aimed to analyze the determinant factors influencing nursing resilience and its impact on nursing work efficiency at King Fahad Specialist Hospital in 2026. This study employed a quantitative cross-sectional design using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) approach. The study population consisted of all active nurses at the Qassim Health Cluster, totaling 4,425 nurses. A total of 356 respondents were selected using stratified random sampling. Data were collected using the Nursing Resilience Scale, Nursing Work Efficiency Scale, Utrecht Work Engagement Scale, and Perceived Organizational Support Scale, all of which had been tested for validity and reliability. Data analysis was conducted using SmartPLS 4. The results showed that organizational support (β = 0.431; p < 0.001), work engagement (β = 0.388; p < 0.001), psychological well-being (β = 0.362; p < 0.001), and a supportive work environment (β = 0.295; p < 0.001) had significant positive effects on nursing resilience. Conversely, high workload negatively affected nursing resilience (β = -0.276; p < 0.001). Nursing resilience was also found to have a significant positive effect on nursing work efficiency (β = 0.614; p < 0.001). The R-square value of 0.71 indicated that the research model explained 71% of the variance in nursing work efficiency. Nursing resilience is a strategic psychological resource influenced by organizational, psychological, and work environment factors in improving nursing work efficiency. This study is expected to provide theoretical contributions to the development of nursing management and healthcare organizational behavior literature, as well as practical contributions for hospitals in designing strategies to strengthen healthcare workers’ psychological resilience based on human-centered healthcare management.
Abstract:Improving the quality of modern healthcare services largely depends on the effectiveness and efficiency of nursing personnel as the frontline providers of patient care. The complex and high-pressure work environment of specialized…
pecialized hospitals requires nurses to cope with emotional demands, heavy workloads, and rapid decision-making in critical situations. These conditions make emotional intelligence one of the important psychological factors influencing nursing performance quality. This study aimed to analyze the relationship between emotional intelligence and nursing work efficiency at King Fahad Specialist Hospital – Qassim Cluster, Saudi Arabia, in 2026. This study employed a quantitative approach with a cross-sectional design. The study population consisted of all active nurses working at King Fahad Specialist Hospital, Qassim Health Cluster. A total of 312 nurses were selected using stratified random sampling. Data were collected using the Emotional Intelligence Scale and Nursing Work Efficiency Scale, both of which had been tested for validity and reliability. Data analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 4 software. The results revealed that emotional intelligence had a positive and significant effect on nursing work efficiency, with a path coefficient of 0.642, t-statistics of 9.871, and p-value < 0.001. The R-square value of 0.58 indicated that emotional intelligence explained 58% of the variance in nursing work efficiency. Emotional regulation and empathy emerged as the dominant indicators contributing to improved communication quality, clinical decision-making, and patient care effectiveness. This study concludes that emotional intelligence is an important psychological resource in improving nursing work efficiency in specialized hospitals. The findings strengthen the Job Demands–Resources (JD-R) Theory and Emotional Intelligence Theory in explaining the relationship between psychological resources and nursing performance. This study is expected to provide theoretical contributions to the development of nursing management literature and practical contributions for hospitals in designing healthcare human resource development strategies based on psychological well-being.
Abstract:This paper presents the design and performance evaluation of a high-voltage direct current (DC) generator based on the Cockcroft–Walton (CW) voltage multiplier for laboratory-scale applications in electrical engineering.…
g. Conventional high-voltage generation methods often involve bulky transformers and complex circuitry, making them less suitable for compact and cost-effective laboratory use. To address these limitations, a modular CW-based system is proposed, integrating a high-frequency input source with an optimized diode-capacitor ladder network. The proposed system is designed to achieve high DC voltage output in the kilovolt range while maintaining acceptable levels of ripple and efficiency. Experimental results show that the system can achieve up to 86% of the theoretical output voltage under no-load conditions, with an efficiency of around 70.8%. Furthermore, the ripple voltage of the generated output voltage is very small, demonstrating stable performance suitable for laboratory applications. The proposed design offers a compact, cost-effective, and reliable solution for high-voltage DC generation, making it highly suitable for educational and low-power applications.
Abstract:• DEF is a company engaged in the sale of coffee, both wholesale and retail. Currently, the sales recording system is still carried out manually, which often leads to problems such as delays in reporting, data entry errors,…
rors, and difficulties in retrieving historical information. This study aims to improve the efficiency and accuracy of the sales recording system by implementing the INDEX MATCH and SUMIFS functions in Microsoft Excel. The research method used is descriptive qualitative with a case study approach, involving observation, interviews, and documentation of the existing system. The results show that the use of INDEX MATCH and SUMIFS can accelerate the data retrieval process, improve the accuracy of sales reports, and reduce input errors. This study provides a practical solution for small and medium enterprises (SMEs) in implementing an efficient sales recording system without requiring significant investment in ERP software. However, the system still has limitations, such as dependence on Excel files that are vulnerable to damage or unintended changes, and the lack of advanced automation features such as receivables reminders or inter-departmental integration. Therefore, future research is expected to develop a web-based system with a centralized database.
Abstract:This study aims to analyze the role of Environmental Management Accounting (EMA) in disclosing environmental risks under the metrics and targets pillar of the Task Force on Climate-related Financial Disclosures (TCFD), as…
s well as its contribution to the achievement of SDG 13 (Climate Action) in coal companies listed on the Indonesia Stock Exchange during 2022–2024. This research employs a descriptive quantitative approach using secondary data obtained from sustainability reports. The sample consists of 17 coal companies selected through purposive sampling, resulting in 51 observations. Data analysis is conducted using content analysis with a dummy scoring method based on 17 indicators of the TCFD metrics and targets pillar. The results indicate that the level of environmental risk disclosure shows an increasing trend, from 37.71% in 2022 to 48.44% in 2024. However, the overall level remains moderate, indicating that companies are still in a transition phase toward more mature climate reporting practices. Basic indicators such as total emissions and Scope 1 and Scope 2 emissions are widely disclosed, while advanced indicators such as Scope 3 emissions and emission reduction targets remain limited. The findings also reveal that the contribution to SDG 13 is uneven: strong in providing baseline emission data, moderate in emission intensity efficiency, and weak in comprehensive inventory and long-term mitigation strategies. Furthermore, companies are categorized into three groups—best practice, intermediate, and resistant—based on their level of disclosure and EMA readiness. Companies with more developed EMA systems demonstrate stronger contributions to climate action. Overall, the study concludes that the coal sector shows positive but not yet optimal alignment with SDG 13, requiring improvements in methodological transparency, Scope 3 measurement, and science-based emission targets.