Journal of Novel Engineering Science and Technology
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Exploring the Influence of Mental Workload on Performance Factors: A Case Study in Education
Get PDFAmid the COVID-19 pandemic, educational institutions in Indonesia, including vocational schools in Bontang, adopted remote learning policies to continue education. Surveys and interviews conducted with teachers at a vocational school revealed signs of stress, including quick temper, continuous mistakes in tasks, and forgetfulness. This study seeks to assess the level of mental workload, teacher performance, and the impact of mental workload factors on the performance of vocational teachers during the COVID-19 pandemic. Teacher performance is the dependent variable, while mental workload is the independent variable. Mental workload dimensions measured include time pressure, mental effort, and psychological stress, whereas teacher performance has work quality, accuracy/speed of work, initiative in work, workability, and communication. The study involved a sample of 20 teachers from a vocational school. Data analysis utilized simple linear regression processed using SPSS software. Subjective assessments of mental workload by teachers indicated that the highest proportion was the need for increased concentration during teaching activities. Regarding teacher performance, the highest ratios were associated with mastering teaching materials, managing the teaching-learning process, and leading the class during the COVID-19 pandemic. The simple linear regression testing results revealed a low influence of the existing mental workload on teachers' performance. The R square value indicated that mental workload affected teacher performance by 14.7%, with the rest influenced by variables outside the regression model
Investigating the Influence of Stereotypes on Female Students' Enrollment in Motor Vehicle Mechanic Work in Gombe State: Gender Bias and Career Aspirations
Get PDFThis study addresses the persistent underrepresentation of female students in non-traditional vocational trades, specifically Motor Vehicle Mechanic Work, within Gombe State Technical Colleges. The total population for this study was 527 including administrators, teachers and parents of Motor Vehicle Mechanic Work trade students in Government Science and Technical Colleges in Gombe State. The sample size of the study was 116 determined using stratified random sampling. The study employed a descriptive survey research design, focusing on Gombe State in Nigeria, where seven Government Science and Technical Colleges were selected for the research. Three research questions and hypotheses guided the study. Data was collected through a researcher-developed structured questionnaire, and statistical methods including means, standard deviations, and ANOVA were used to analyze the data. Findings of the study indicated that parental influence, including preferences for preferred courses and concerns about safety, significantly influenced female students' enrollment in Motor Vehicle Mechanic Work. Peer group dynamics, such as imitation, aspirations, and subject choice, also played a role in shaping female students' decisions. Cultural factors, including perceptions of education, domestic roles, early marriage, and societal support, further influenced their choices. Interestingly, the study revealed a convergence of perspectives among Motor Vehicle Mechanic Works Trade teachers, school administrators, and parents regarding the identified influences. Recommendations stemming from these findings include targeted awareness campaigns for parents, peer mentorship programs, and collaborations with local leaders and institutions to challenge and reshape cultural norms that discourage female participation in non-traditional trades
Experimental Study of Gravity Measurement with a Video-Based Laboratory Pendulum with Tracker Software: Comparison of Weighted and Unweighted Tests
Get PDFThis research aims to determine the value of the Earth's gravitational acceleration (g) using the mathematical pendulum swing method with an unweighted linear regression approach, weighted linear regression, and the 4th-order Runge-Kutta numerical method. The data used are the results of measuring the swing period of the pendulum for various lengths of string. The analysis was carried out by calculating the average value of gravitational acceleration using multiple methods. The results show that weighted linear regression provides more consistent and accurate estimates than unweighted linear regression, with a high coefficient of determination (R²) value. The Runge-Kutta numerical method is also used to predict swing periods with a more in-depth mathematical approach, producing values supporting experimental data trends. Overall, this research makes an average value of gravitational acceleration of around 9.11 m/s², close to the expected theoretical value. These findings show that the mathematical pendulum swing method can be used effectively to measure the Earth's gravitational acceleration with sufficient accuracy and provide an essential contribution in the context of physics education regarding the application of basic principles in physics experiments
Quality Analysis of Fresh Milk Based on Specific Gravity Parameters at CV Cita Nasional in Central Java, Indonesia
Get PDFIn maintaining the quality of milk produced, it is necessary to supervise and control quality. One important aspect is controlling the specific gravity value of fresh milk. The specific gravity parameter of fresh milk is one of the determinants of whether the milk can be accepted or rejected as raw material. In addition, it is also a determining factor in determining the selling price of milk. To determine the quality control of the specific gravity of fresh milk, the control chart analysis method is used. The results of the analysis that have been carried out from various KUDs obtained the average specific gravity of fresh milk from Capita Farm KUD which is 1.0295 g / mL; the average specific gravity of fresh milk from KUD Cepogo is 1.0265 g/mL; the average specific gravity of fresh milk from Andini KUD is 1.0266 g/mL; the average specific gravity of fresh milk from Getasan KUD is 1.0268 g/mL, and the average specific gravity of fresh milk from Boyolali Kota KUD is 1.0292 g/mL. The specific gravity value of fresh milk supplied from various KUD can be concluded that the specific gravity value meet the company's quality standards, SNI, and existing literature so it is said that the specific gravity of fresh milk in CV Cita Nasional is in control, and can be accepted as raw material for making pasteurized milk
Compact Design of 1x2 MIMO Microstrip Patch Antenna with Corners Trimmed for Vehicle-to-Vehicle Communication
Get PDFThis paper mainly focuses on the compact design of circularly polarized microstrip patch antenna for vehicle-to-vehicle communication. The charging time of electric vehicle is longer waiting time than compared to traditional gasoline-based vehicles. The charging is done at the public charging stations. When the vehicles need charging while driving, they communicate with Dedicated Short Range Communications (DSRC) band to send the information to the nearest vehicles and receive information from the charging station. Moreover, the DSRC band is used in many application areas such as Intelligent Transportation System (ITS), Electronic Toll Collection (ETC), Collision Avoidance, and connected vehicles. The vehicle-to-vehicle communication system needs to achieve higher data rates multimedia. These requirements cannot be supported by using single microstrip patch antenna. However, some research challenges have been in MIMO antenna such as antenna miniaturization, decoupling, and isolation between the antennas. The research solution for the problem statement in this study is emphasized on the corner trimmed is added in the rectangular patch and ground plane to make the current part longer and the impedance matching better, and to get low ECC. After that, the mutual coupling can be reduced by adding suitable separation between two radiating patches. S12 and S21 are less than -20dB from 5.81 GHz to 5.930 GHz. So, the proposed antenna design is very appropriate for car-to-car (5.85-5.925 GHZ) communication. The measurement result of the proposed antenna is valid because the desired values such as minimum S11 ≤ -10 dB, VSWR ≤ 2, and ECC < 0.3 are obtained for V2V communication in both simulation and measurement results
IoT-based Single-Phase Power Factor and Control Panel Monitoring System
Get PDFThe power factor is a value obtained by comparing the actual power value and apparent power in an electric circuit. Because it is related to the quality of the distributed power, this power factor needs to be monitored. Devices with inductive loads generally cause power factor distortion, causing losses. Power factor monitoring is carried out periodically to ensure the efficiency of electricity distribution to the building. Power factor monitoring is usually done on the control panel of a building by measuring the voltage and current flowing. Manual monitoring could be more ineffective in terms of time and effort and has the potential for recording errors. This study proposes a power factor monitoring system on the control panel to facilitate recording. The system created is integrated with IoT technology so that it can monitor and record automatically anywhere and anytime. The developed system has an error percentage of 1.53% for the voltage sensor and 5.02% for the current sensor
Incorporating AI Tools into Medical Education: Harnessing the Benefits of ChatGPT and Dall-E
Get PDFArtificial intelligence (AI) has shown promising potential to transform various fields, including medical education. Recently, the rapid advancement of AI has led to many ``new'' discoveries that caught everyone's attention. Among those discoveries are introduced by OpenAI (e.g., ChatGPT, Dall-E, and the most recent, GPT-4). The integration of AI tools, such as ChatGPT and Dall-E, can offer a new dimension to medical education by creating an interactive and engaging learning experience. In this article, we explore the potential benefits of ChatGPT and Dall-E in medical education and provide practical utilization examples of those tools. For starters, ChatGPT, or in this sense, any other similar large language models, can simulate patient interactions in a safe environment, allowing medical learners to practice their communication skills and diagnosis techniques. Furthermore, it can assist medical students and researchers in reading and writing academic articles by accurately summarizing the key points of a given topic and generating an indistinguishable abstract. In addition, ChatGPT can also create problems for medical assignments and exam practice. In this article, we also discussed ChatGPT's capability to answer standard medical assignment problems. Dall-E, on the other hand, can generate dummy copyright-free and consent-free medical images (e.g., x-ray and electrocardiogram (ECG) graphs), allowing medical learners to practice and enhance their interpretation skills. Incorporating AI-based tools into medical education can provide a new approach to teaching and learning, bridging the gap between theory and practice, and unlocking new avenues for learning and discoveries for both, the students and the instructors. It can also offer a cost-effective solution to simulate real-world scenarios that would otherwise require significant resources and time. In summary, this article concludes that AI-based tools have the potential to revolutionize medical education, empowering medical learners with the skills and knowledge necessary to excel in their field
The Application of the Technology Readiness Acceptance Model on Education
Get PDFThe development of science and technology has changed the work system, including in educational institutions. Rapid information and communication technology changes are now essential factors in changing education management. Improving the quality of education can leverage the quality of a nation. Technology in the teaching field provides many opportunities in various aspects of education and learning, such as academic services, access to learning materials, educational evaluation, management of lesson content, reports on student learning outcomes and the use of digital-based learning media by teachers. The use of technology in learning can create a competitive environment for students and teachers to be more creative and innovative. Education in Technology Study (Edtech) has become a global concern, especially during a pandemic. The revitalization and development of teacher and student synergy in implementing digital technology-based education will accelerate the education revolution 4.0
Revolutionizing Quranic Education for 4th Grade Student Through Customized Open-Source Operating System
Get PDFThis study aims to develop an open-source and legal operating system for Quranic education that can be used for teaching the Quran to 4th-grade students using a computer. The operating system display is customized using code commands and Gnome Tweak Tool, and includes themes, shells, icons, fonts, OS logos, backgrounds, booting screens, and multimedia. The IQROS Linux distribution was designed to assist teachers in teaching Quranic lessons to elementary school students, and was evaluated using a questionnaire at a particular elementary school in Indonesia. The study found that the majority of respondents agreed that the color and background design were appropriate, and the use of IQROS Linux was suitable for facilitating religious learning. The software was found to help teachers with their work and increase student interest in learning the Quran, demonstrating the potential of IQROS Linux to enhance religious education in elementary schools. The relevant future resreach is to conduct a longitudinal study to assess the long-term impact of using IQROS Linux on students' Quranic learning outcomes. This could involve tracking students' progress over several years to measure their retention of Quranic knowledge and their ability to apply it in their daily lives
Assessment of Autotronics Servicing Skill Needs among Roadside Mechanics for the Use of Auto Scan Tools
Get PDFThis study examined the Autotronics Servicing Skills needs among Roadside Mechanics and Master Trainers using auto scan tools. Two research questions and two null hypotheses guided the study. The study was carried out in 9 local government areas of Kano State. The study population was 90 Road Side Mechanics, and Masters Trainers selected through a simple random sampling technique. The whole population was used for the study. A structured questionnaire validated by three experts from the Department of Technology Education, Modibbo Adama University, Yola and trial tested for internal consistency in the Ringim local government area of Jigawa State was used. The instrument yielded a reliability coefficient of 0.82. The instrument structured on 5 points Likert scale was used to elicit information on using the Onboard diagnostic (OBD2) and Launch code reader professional 123 (CRP123) for diagnosing vehicle systems faults. Data collected were analyzed using Microsoft Excel. Mean and standard deviation was used to answer the research questions. Z-test statistics were used to test the null hypotheses at a 0.05 significance level. The study found out that Roadside Mechanics need autotronics servicing skills in the use of OBD2 and CRP123 for diagnosing and fixing problems in the engine, transmission, airbag (supplemental restraint system SRS), anti-lock braking system (ABS), and emission-related systems. The study recommended that ASS acquisition centres should be established in Kano State by organizations like the Ministries of Labour, the National Directorate for Employment (NDE), the National Automotive Design and Development Council (NADDC), the National Board for Technical Education (NBTE) and so on to enable Roadside Mechanics and other people who wish to learn the skills to acquire the required training to meet up with the challenges ever increasing in the motor vehicle technology