Higher Skills Research Articles

Feasibility and Safety of Integrating Extended TCD Assessments in a Full Multimodal Neuromonitoring Protocol After Traumatic Brain Injury

Targeting single monitoring modalities such as intracranial pressure (ICP) or cerebral perfusion pressure alone has shown to be insufficient in improving outcome after traumatic brain injury (TBI). Multimodality monitoring (MMM) allows for a more complete description of brain function and for individualized management. Transcranial Doppler (TCD) represents the gold standard for continuous cerebral blood flow velocity assessment, but requires high levels skill and time. In TBI, the practical aspects of conducting extended TCD monitoring sessions have yet to be evaluated. Patients with acute moderate-to-severe TBI admitted to the neurocritical care unit between March 2022 and December 2023 receiving invasive ICP measurements were evaluated for inclusion. Exclusion criteria included trauma incompatible with TCD monitoring and if MMM was unwarranted. Daily MMM sessions (in addition to regular monitoring) were performed using TCD (Delica EMS 9D System or the DWL Doppler Box) for ≤5 d. Quantitative and qualitative feasibility, safety, and quality metrics were assessed. Of 74 patients, 36 (75% male; mean age, 44 ± 17 y) were included. Common reasons for exclusion were skull fractures (n = 12) and decompressive craniectomy (n = 9). We acquired 88 recordings (mean, 275 ± 88 min). Overall monitoring times increased, and set-up times decreased. Physiologic variables (including ICP/brain temperature) did not change with TCD application. A single adverse event (dislodging of a microdialysis catheter) occurred. Implementing extended TCD monitoring in MMM protocols is feasible and safe. Considering these results, inclusion of long-term TCD as part of the MMM is strongly encouraged to allow for in-depth description and direct evaluation of hemodynamic changes after TBI.

Evaluation of Seasonal Prediction of Extreme Wind Resource Potential over China Based on a Dynamic Prediction System SIDRI-ESS V1.0

Wind resources play a pivotal role in building sustainable energy systems, crucial for mitigating and adapting to climate change. With the increasing frequency of extreme events under global warming, effective prediction of extreme wind resource potential can improve the safety of wind farms and other infrastructure, while optimizing resource allocation and emergency response plans. In this study, we evaluate the seasonal prediction skill for summer extreme wind events over China using a 20-year hindcast dataset generated by a dynamical seamless prediction system designed by Shanghai Investigation, Design and Research Institute Co., Ltd. (Shanghai, China) (SIDRI-ESS V1.0). Firstly, the hindcast effectively simulates the spatial distribution of summer extreme wind speed thresholds, even though it tends to overestimate the thresholds in most regions. Secondly, high prediction skills, measured by temporal correlation coefficient (TCC) and normalized root mean square error (nRMSE), are observed in northeast China, central east China, southeast China, and the Tibetan Plateau (TCC is about 0.5 and the nRMSE is below 0.9 in these regions). The highest skills emerge in southeast China with a maximum TCC greater than 0.7, and effective prediction skill can extend up to a 5-month lead time. Ensemble prediction significantly enhances predictive skill and reduces uncertainty, with 24 ensemble members being sufficient to saturate TCC and 12–16 members for nRMSE in most key regions and lead times. Furthermore, we show that the prediction skill for extreme wind counts is strongly related to the prediction skill for summer mean wind speeds, particularly in southeast China. Overall, SIDRI-ESS V1.0 shows promising performance in predicting extreme winds and has great potential to provide services to the wind industry. It can effectively help to optimize wind farm operating strategies and improve power generation efficiency. However, further improvements are needed, particularly in areas where prediction skills for extreme winds are influenced by smaller-scale weather phenomena and areas with complex underlying surfaces and climate characteristics.

Design of Moringa Leaf Dryer Based on Programmable Logic Control Laboratory Scale

Moringa plants can be found in most tropical and subtropical climates. In some parts of Indonesia, the plant is called kelor or marungga. People need the tree as a source of protein, vitamins, minerals, and carbohydrates. The plant contains more than 90 nutrients, antioxidants, and 8 essential amino acids, called the ‘elixir tree’. The problem with this plant is that its leaves are easily damaged when picked. One way to avoid this is to perform a drying process. This Moringa dryer consists of an inner cabinet made of aluminum and an outer side made of zinc. The cabinet measures 40 cm long, 35 cm wide, and 35 cm high, has three shelves arranged horizontally, and each shelf can dry between 100 grams to 200 grams of moringa leaves simultaneously. In addition, it has a heater consisting of two 125-watt heaters and two upper and lower fans. In the first experiment, Moringa leaves were dried for 9 hours at 40°C, yielding 30g of dried leaves from 100g of fresh leaves. The second experiment lasted 6 hours at 50 °C, yielding 30 g of dried leaves from 100 g of fresh leaves. Finally, the leaves were dried for 3 hours at 60°C, yielding 30g of dried leaves from the initial 100g. These results also show a large weight loss at various temperatures and durations. After calculating the percentage of weight loss, it was found that the leaves lost 70% of their weight. Outseal PLC can automatically control the drying process according to the pre-programmed program. Temperature and humidity sensors maintain the nutritional quality and texture of the moringa leaves produced by controlling the dryer environment appropriately. This tool can be used easily by users without requiring high technical skills.

Development of a System for Determining Technique Level of Vascular Anastomosis Using Hand Motion

In off-pump coronary artery bypass grafting (OPCAB), the coronary arteries are joined as the heart beats. This procedure requires high skill and experience to be performed reliably and quickly. Although training kits are commonly used for technical training, the inability of trainees to always be with experienced surgeons for guidance and to receive immediate evaluation remains problematic. To address this problem, a system that allows a single trainee to observe and quantitatively evaluate the procedures performed by an experienced surgeon is being developed. In this study, to analyze the differences between the motions of experienced and novice surgeons, Leap Motion was used to measure the hand motion of the vascular anastomosis performed by both surgeons using a training kit. Using the measured data, the features of the vascular anastomosis surgical techniques performed by experienced and novices were tested using the Mann–Whitney U test. In addition, a binary classification was performed using machine learning with these features. The binary classification results show that trainees can be classified as experts or novices with high accuracy using the developed system.

Analysis of Students' Mathematical Communication Skills On The Material of Two-Variable Linear Equation System With The Application of Bruner Theory

The subjects of this qualitative descriptive research were class VIII students of SMP Negeri 4 Tarutung located in North Tapanuli Regency. The aim of this research is to determine and explain students' mathematical communication abilities when solving problems using Bruner's Theory. The data is in the form of written test results given to students to assess their mathematical communication skills in solving problems using Bruner's Theory. The results of the interview also consist of students' answers to verbal questions given to obtain additional information. Documentation data in the form of pictures and archives of test answers taken by class VIII students of SMP Negeri 4 Tarutung. Data collection methods include written tests, interviews, and documentation. Data analysis is carried out by reducing data, presenting and drawing conclusions. The results of the research show that students' mathematical communication skills when solving problems use Bruner's Theory 43% of students with high mathematical communication skills were able to solve questions correctly and well, while 36% of students with moderate abilities could only meet some indicators, and 21% of students with low abilities could not meet all the indicators.

Transesophageal echocardiography: Revolutionizing perioperative cardiac care.

Cardiovascular diseases (CVDs) are a major challenge in global health. Despite significant advances in treatment and management, the incidence and mortality rates of CVDs have been rising in recent years, particularly in the United States. With continuous advancements in medical technology, perioperative transesophageal echocardiography (TEE) has become a key technology in cardiac surgery, enhancing surgical success rates and patient safety. The application of TEE spans preoperative planning, intraoperative monitoring, and postoperative evaluation, especially in complex procedures such as mitral valve repair and aortic valve replacement, where it plays an indispensable role. Simultaneously, the introduction of artificial intelligence (AI) brings new prospects for TEE image analysis and diagnostic support, significantly improving diagnostic accuracy and real-time decision-making capabilities. However, the application of TEE technology faces challenges such as high costs, uneven technological diffusion, and the high skill requirements for medical personnel. Therefore, establishing standardized training protocols and strengthening multidisciplinary collaboration are crucial. This paper reviews the application of TEE in cardiac surgery and its path toward educational and practical standardization from a global perspective, emphasizing its importance in improving the postoperative quality of life for patients and exploring future directions in technological innovation and educational optimization.

Awareness is not enough: Developing competencies in behaviour change counselling for obesity management

BackgroundThis study describes the development and evaluation of a competency based training program in behaviour change counselling for obesity management. This was a real world study attempting to obtain evidence on the learning experience; specifically, achievement of level of competency as well as personal experiences of the integration of skills learned into practice. MethodsThis was a training effectiveness study involving a total of 28 evaluable licenced healthcare providers providing obesity care services. The design for this study is pre-experimental; specifically a one-group post-test only quasi-experimental design.Based on previous work developing a competency-based model of behaviour change counselling (developing change-based relationships, assessing and promoting readiness to change, implementing behaviour modification when ready, and addressing psychosocial determinants of behaviour) we report on training outcomes; specifically, the level of competency achieved in the various skill components of the intervention model. The model of training was based on corrective feedback, the development of peer-based learning and the creation of a mindmap to guide adaptation of interventions to the unique characteristics of individuals with obesity. Quantitative data on competency of components skills and qualitative information on the experience of training were used to evaluate the program. ResultsObjective assessment of skill competency post training demonstrated moderate to high skill in all aspects of behaviour change counselling. Learners reported frequent use of skills in clinical practice, particularly change-based relationships and readiness assessment/intervention. Qualitative interviews confirmed the value to learners in creating a safe place for corrective feedback, the development of the mindmap concept and the opportunity to teach back learned skills to peers. ConclusionProvision of competency-based behaviour change counselling in obesity management is critical to support the reformulation of obesity as a chronic disease and to be an important adjunct to medical/surgical interventions. In this paper, we have demonstrated the value of an intensive training program for obesity providers.

Sociodigital Determinants of eHealth Literacy and Related Impact on Health Outcomes and eHealth Use in Korean Older Adults: Community-Based Cross-Sectional Survey.

eHealth literacy is an essential skill for pursuing electronic health information, particularly for older people whose health needs increase with age. South Korea is now at the intersection of a rapidly digitalizing society and an increasingly aged population. eHealth literacy enables older people to maximize the effective use of emerging digital technology for their health and quality of life. Understanding the eHealth literacy of Korean older adults is critical to eliminating the gray digital divide and inequity in health information access. This study aims to investigate factors influencing eHealth literacy in older Korean adults and its impact on health outcomes and eHealth use. This was a cross-sectional survey. Community-dwelling older adults 65 years and older in 2 urban cities in South Korea were included. eHealth literacy was measured by the eHealth Literacy Scale. Ordinal logistic regression was used to analyze factors associated with eHealth literacy and multivariate ANOVA for the impact of eHealth literacy on health outcomes and eHealth use. In total, 434 participants were analyzed. A total of 22.3% (97/434) of participants had high eHealth literacy skills. Increasing age, higher monthly income, and time spent on the internet were significantly associated with eHealth literacy (P<.001), and social media users were 3.97 times (adjusted odds ratio 3.97, 95% CI 1.02-15.43; P=.04) more likely to have higher skill. Higher eHealth literacy was associated with better self-perceived health and frequent use of digital technologies for accessing health and care services (P<.001). Disparity in socioeconomic status and engagement on the internet and social media can result in different levels of eHealth literacy skills, which can have consequential impacts on health outcomes and eHealth use. Tailored eHealth interventions, grounded on the social and digital determinants of eHealth literacy, could facilitate eHealth information access among older adults and foster a digitally inclusive healthy aging community.

A radiant shift: Attention-embedded CNNs for accurate solar irradiance forecasting and prediction from sky images

The continuous increase in solar power integration with energy systems can be attributed to the push for cleaner energy use globally, highlighting the importance of accurate solar forecasts. Conventional prediction methods, although valuable, often fall short of delivering the precision required for dynamic energy management systems due to their inability to effectively capture the intricate relationships inherent in solar irradiance variations. This research addresses this limitation by introducing a novel approach that harnesses the potential of Attention-embedded Convolutional Neural Networks (ATT_CNN) to forecast Global Horizontal Irradiance (GHI), Direct Normal Irradiance (DNI), and Diffuse Horizontal Irradiance (DHI) for intra-hour solar forecasting utilizing sequences of sky images. The main contribution of this study is the integration of attention mechanisms into the CNN architecture, strategically designed to enhance their efficacy in predicting GHI, DNI, and DHI by fostering an adaptive focus on sky image features. First, we use SRRL dataset with GHI, DNI, and DHI features as predicting labels, then the Mean Bias Error (MBE), Root Mean Square Error (RMSE), and Forecasting RMSE skill score (FSS) are used to evaluate the model's performance. This study utilized six lead times and four sequence lengths, based on this the best combination is: Sequence length: 4 with Minutes: 20. This combination provides a balanced and optimal performance with low RMSE (62.75 W/m2), low MBE (2.71 W/m2), and a high FSS (38.81), indicating good accuracy, minimal bias, and high skill score. Furthermore, when compared with state-of-the-art models, the proposed model yielded superior results. This advancement holds profound implications for the optimization of solar power utilization within mainstream energy systems, further underscoring the significance of cutting-edge deep learning (DL) techniques in advancing sustainable energy technologies. The findings of this study indicate that integrating attention mechanisms is essential to enhance the accuracy and reliability of forecasts, and using longer sequences of images can further improve forecasting performance.

Effectiveness of motor learning model based on local wisdom in improving fundamental skills

Traditional Balinese games are considered a cultural heritage that provides many basic movement benefits but have not been well revealed, this study aims to describe the effectiveness Motor Learning Model Based on Local Wisdom (MLMBLW) in Improving Fundamental Skills of students in early childhood education programs in Buleleng Regency in Bali Provinces.The data analysis technique used descriptive quantitative. The sample in this study was the students in early childhood education Laboratory of Undiksha shool and early childhood education Telkom School (n = 44) age 5 year taken by purposive sampling technique with active children for traditional Balinese games. Data were collected by direct observation, questionnaires, and tests. Based on the results of data analysis, the effectiveness of the MLMBLW which can be seen from the activities of students participating in learning 81.3% belongs to the very high/very active category, student learning achievement as seen from the average fundamental motor skills above 70% have moderate to high basic movement skills, and the teacher's response to the implementation is overall positive. This research is evidence that MLMBLW is effectively applied in the implementation of motor learning in early childhood students From the results of this study, there are several things that are recommended: (1) early childhood education teachers must understand the character of students and the local wisdom used, so that the learning steps (syntax) can be implemented properly, (2) the learning model can be implemented properly, if the teacher understands how to play traditional games (local wisdom) well. Introducing culture to every child is the same as preserving the world's cultural wealth, for that reason traditional Balinese games are also important in addition to improving fitness Keywords Basic Movement Activities, Balinese Culture, Traditional Games

ANALYSIS OF HIGH ORDER THINKING SKILLS IN PHYSICS IN 21ST CENTURY LEARNING

The purpose of this research is to analyze the extent to which High Order Thingking Skill is applied in physics learning at MA Muhammadiyah Boarding School Metro and analyze students' HOTS ability in the current 21st century learning. In this article, the type of research used is qualitative research. The data collection stage consists of 3 stages, namely observation and interview, literature study, and data analysis stage. The data analysis technique uses data triangulation techniques by comparing 3 data sources. The results showed that physics learning at MA Muhammadiyah Boarding School Metro has been integrated with High Order Thinking Skill. This is evidenced by the use of the PjBL method. The PjBL method allows students to use reasoning to create a project. However, the application of HOTS in physics learning has not been fully successful because there are still students who have difficulty in applying formulas and working on problems. In 21st century learning, teachers are expected to continue to improve their abilities and innovate in the application of methods, strategies, and learning media that can support students' HOTS.

Processes of Self‐Management Using Evaluation Based On Distance from Average Solution (EDAS)

People with good self-management skills can effectively regulate and control their feelings, thoughts, and actions in a range of situations. Strong self-management skills allow employees to set goals on their own while making every effort to achieve them. Such employees understand how important it is to control their emotions and behavior at work. Employers like people with high self-management skills since it can be challenging for someone to control their emotions and thoughts. As a result, they might end up shouting at a client and saying harsh things to their coworkers. Self-management skills enable people to exercise more self-control, which leads to wiser professional judgements. Important jobs and activities, as well as fulfilling research goals, call for little diversion and a good capacity for concentration (4). The most crucial tasks are identified, prioritized, and concentrated on by researchers, who also try to avoid distractions. In order to efficiently handle their time, simplify daily tasks, and keep crucial information and things close at hand, researchers create organizational systems. Finally, they get ready to start the job at hand. They arrive early for classes, meetings, and presentations. After leaving for the day, they make plans for the next day. A novel and effective MCDM is designed based on the separation to the mean solution evaluations (EDAS). In this manner, alternatives are chosen depending on how much they deviate analysis, the EDAS approach (Avg evaluation adjusted for distance from solution) is the best choice. The solution with the greatest separation from the ideal is short range and negative, although the comparison between these distances is insignificant. Alternative: Overall sample n 605, 6th graders in 309, 8th graders in 296. Self-management strategies, perceived barriers, Perceived barriers, Outcome expectancy. Results: From the result it is seen that Outcome expectancy is got the first rank where as is the perceived barriers is having the lowest rank.

The Children Theatre Artist's Perspectives On Child’s Rights And Child’s Labour In The Digital Age.

A child is a minor, younger person being under the age of infancy and puberty. According to the Nigeria Rights Act of 2003 a child is a human being under the age of 18 years that is under the strict control and protection of parents/guardians. He/she have legal rights accrue to him/her, such right cut across the social, economic, cultural, and religious duties; they are beneficial to the growth and development of the child. These rights are undermined daily; therefore, the child is subjected to child labour given a demeaning job and inhuman treatment. The theatre as the third eye that mirrors the society, creates awareness and correct vices in the society, through this research hereby exposed how children's right is being violated daily and they are being coerced to do a degrading job. The ability of the theatre to communicate complex issues; and its high creative skills were the tools employed to create plays dramas, dances sketches, playlets, that advocate for child right and child labour. The quantitative research methodology and community play production were employed. Findings shows that many children were going through this trauma even though the child right laws have been in existence for so long its awareness and implementation level were very low.

Evaluation of Hub‐Height Wind Forecasts Over the New York Bight

ABSTRACTAs offshore wind energy development accelerates in the United States, it is important to assess the accuracy of hub‐height wind forecasts from numerical weather prediction models over the ocean. Leveraging approximately 2 years of Doppler lidar observations from buoys in the New York Bight, we evaluate 80‐m wind speed forecasts from two weather models: the High‐Resolution Rapid Refresh (HRRR) atmospheric model and the Global Forecast System (GFS) coupled atmosphere‐ocean model. These models have different horizontal grid spacing, vertical layering, initialization methods, and parameterizations of boundary layer mixing and surface–atmosphere interactions. Despite these differences, the models demonstrate similar and highly skillful short‐term forecasts at three measurement sites. At the Hudson Southwest location that provides a full year of data, their performance is statistically indistinguishable: root mean square error (RMSE) = 2.1 m/s and the Pearson correlation coefficient for 24‐h forecasts of both models, and RMSE = 2.6 m/s and 0.83 for 48‐h forecasts. Twenty‐four‐hour forecasts also exhibit skill in predicting quiescent winds and winds associated with maximum turbine power. By Day 10, GFS forecasts on average have almost no skill. The short‐term forecast skill by the HRRR and GFS does not strongly depend on season or time of day, yet we find some dependence of the models' performance on near‐surface stability. Additionally, 4‐ to 14‐day forecasts by the GFS exhibit lower RMSE during summer relative to other seasons. The high skill of the HRRR and GFS short‐term forecasts establishes confidence in their utility for offshore wind energy maintenance and operation.

Implementing ARVi media to enhance students high order cognitive skills

High-order cognitive skills (HOCS) are required to solve problems and make decisions. ARVi or augmented reality virus is a learning medium used to enhance HOCS. Aims of this research is to find out the effect of implementing ARVi media on enhancing high-level cognitive skills of students. The research is a quasi-experiment with a pretest-posttest control group design. The research was conducted in MAN 1 Kota Bogor class 10 using the Merdeka curriculum. The research instrument is a multiple-choice test that has been validated to measure high-level cognitive skills. The result of the t-test shows t-value (3.14) &gt; t-table (1.98), indicating that there is a significant difference between the posttest scores of the control group and the experimental group. This means that the use of ARVi media has an effect on high-level cognitive skills. The improvement in high-level cognitive skills was continuous in C5 (evaluation) at 78%, C6 (creation) at 72%, and C4 (analysis) at 70%. These results are not independent of the support provided by the various content offered by ARVi media, such as augmented reality, literacy, and high-level questionnaires. Current education can benefit from technologies like ARVi media that help increase the high-level cognitive skills of students.

Learning Curves of Harvester Operators in a Simulator Environment

Simulator training helps provide safe and cost-effective training for operators of modern forestry machines that require high motor skills, constant concentration, and proper planning. The aim of the study was to analyze the learning curves of the trainees in order to determine the period during which most development takes place. In this study, 11 trainees were trained on a John Deere harvester simulator for approximately 15 h each. In each case, a clear learning curve could be identified, despite high inter- and intra-person variability. Effective time showed a steady decrease during training, with a group minimum at the end of training (1.25 min). Crane tip distance per tree dropped rapidly in the first 3–4 h, followed by a more gradual decrease to reach a minimum of 23.8 m. Crane control showed a significant increase from an initial 0.63 to a maximum of 0.8 by the 9th hour of training. A number of crane functions used simultaneously increased more rapidly to almost a maximum value (1.8) already in the 5th hour. The individual curves for each trainee were highly variable, showing a wide range of values and shapes. In conclusion, most personal development occurs during the first phase of simulator training, which typically takes approximately 9–10 h. It is important to consider significant inter-personal variability and tailor the duration of simulator training to individual needs.

Construct Validity of the Athlete Introductory Movement Screen in Grassroots Footballers Aged 11-13 Years.

This study examined the construct validity of the Athlete Introductory Movement Screen (AIMS) in children. Following ethics approval, parental consent, and child assent, 87 children (50 boys, 37 girls) aged 11-13 years (Mean ± SD = 12.4 ± 0.6 years) performed the AIMS and Test of Gross Motor Development (TGMD-3) in a counterbalanced order. AIMS tertiles were subsequently created, classifying children with 'high', 'medium', or 'low' movement skills. A 2 (Gender) X 3 (AIMS tertile) ways analysis of covariance (ANCOVA), controlling for age and age at peak height velocity, with TGMD-3 scores as the dependant variable, indicated that TGMD-3 scores were significantly higher for girls categorised as having a medium movement skill compared to girls categorised as low, and those categorised having high movement skill compared to medium and low movement skill groups (all, p = 0.001). There was no difference in TGMD-3 scores for boys classed as having low and medium movement skills. Boys categorised as high for movement skills had significantly greater TGMD-3 scores than their peers categorised as having both low and medium movement skills (p = 0.001). As the AIMS differentiates the theoretically related construct of motor competence, this study demonstrates that the AIMS has construct validity as a measure of movement skill in children aged 11-13 years.

Research of Factors Affecting Satisfaction in E-Procurement

Theoretical background: Nowadays, the development of digital technologies, including e-service portals in the public procurement, is crucial for improving purchasing processes and expanding markets for companies, including family businesses. Understanding the factors influencing satisfaction with the use of e-procurement is important for optimizing these processes and improving work efficiency. In the context of public procurement, such studies are few. None of the publications found results of research combining the areas of business family, e-procurement, and user experience. This shows that there is a research gap related to the experiences of employees of family businesses and their interactions with e-procurement for public area, especially in the context of the impact of UX on the efficiency and satisfaction of procurement processes in the public sector. Purpose of the article: The main objective of the study, of which results are presented below, is to develop a model of key factors and the relationships between them that influence the efficiency of work in an e-procurement dedicated to public area. Despite the numerous benefits of using e-procurement, there are also many challenges and barriers that can affect the level of satisfaction of employees using these types of solutions, including in the procurement area. Understanding the factors that influence satisfaction and dissatisfaction with the use of e-procurement is crucial for improving procurement processes and work efficiency. In the application area, the research results can be helpful for creators and suppliers of e-procurement, enabling them to tailor their solution to the specific needs of family business employees. Research methods: In order to examine the factors of satisfaction with the use of e-procurement in the public area, a survey was conducted among contractors submitting offers in public procurement procedures. The online survey was sent to over 10,000 business entities, obtaining 406 correctly completed responses, including 109 from family businesses. The analysis of the obtained results allowed, among others, to identify satisfaction factors in the use of e-procurement. Main findings: In a study assessing the use of e-procurement in the public area, respondents rated their digital competences on average at 4.7 on a scale of 1–6, indicating high digital skills. Intuitiveness of use and ease of searching for advertisements turned out to be crucial for satisfaction with e-procurement, which emphasizes the importance of good UX practice in the design of these tools. Respondents also highly rated functions such as automatic encryption of offers and the ability to create an electronic signature, which affects the security and efficiency of purchasing processes. Surprisingly, training for users of e-procurement was considered less important, which may be due to the already high digital competences of the respondents.

Pengaruh Lingkungan Kerja Dan Skill Terhadap Kinerja Pramuniaga Yang Bekerja Di Mall

This research aims to analyze the influence of the work environment and skills on the performance of sales assistants working in malls. A conducive work environment and adequate skills are important factors that can influence the productivity and efficiency of salespeople. The research method used is qualitative with a literature approach. Data was collected through various literature such as journals, articles and books. The research results show that a good work environment and high skills significantly influence the performance of sales assistants. A comfortable, safe and supportive work environment can improve salesperson performance. Meanwhile, skills that are relevant to the duties and responsibilities of sales assistants have also been proven to increase efficiency and service quality. These findings indicate the importance of mall management to create a positive work environment and provide the necessary training to improve salesperson skills, thereby improving overall performance and customer satisfaction

Computer-Based Test (CBT) Assisted Assessment with Rasch Model to Improve Vocational High School Teachers' Skills

The aim of the community service program conducted is to enhance the skills of teachers and students at Bina Kusuma Private Vocational High School in Nanga Pinoh by using computer-based tests and improving teachers' skills in analysing the quality of assessment instruments using the Rasch model theory with the assistance of WinStep. The proposed solution to address these challenges involves conducting workshops and assisting in preparing test instruments. This includes guidance on using computer-based tests for both teachers and students, as well as workshops and assistance in applying the Rasch model to determine the validity of instruments. This community service used Participatory Action Research (PAR) method to find problems experienced by partners. The partners' issues consist of instruments from authentic assessments used at Bina Kusuma Private Vocational High School in Nanga Pinoh, which were made independently by the respective subject teachers and were directly used as benchmarks for student achievement, and the assessment instruments still did not utilise the available resources (computers and smartphones). Efforts made to address the partners' issues included developing authentic assessment instruments that were appropriate and valid. Based on the evaluation results of the activity implementation using the Kick Patrick Level 1 method, the average evaluation score for the presenters was 82.125, and the average evaluation score for the method, relevance and usefulness, facilities, and consumption was 88.75. The constraints encountered in this activity were that the community service program implementers needed to consider timing and conduct more in-depth evaluations. Recommendations for implementing community service program activities included developing a more structured community service program and integrating it with routine school activities.