Electrical Engineering Students Research Articles

Perception of Electrical Engineering Students in Aceh towards the Application of Artificial Intelligence in the Digital Era

Perception of Electrical Engineering Students in Aceh towards the Application of Artificial Intelligence in the Digital Era

Effect of Project-Based Learning Model on Creativity and Learning Outcomes of Basic Electrical Engineering

This study aims to determine the effect of project-based learning models on creativity and learning outcomes of Electrical Installation and Power Engineering students in the Basic Electrical Engineering subject in class XI of SMKN 1 Airmadidi. This study used an experimental method with a post-test-only control group design. The instruments used included learning outcome tests and creativity questionnaires. The results showed a significant difference in the learning outcomes of Basic Electrical Engineering between students who were involved in learning using project-based models and those who followed conventional methods. This indicates that applying project-based learning models substantially affects the learning outcomes of Basic Electrical Engineering in Class XI of SMKN 1 Airmadidi with a ttable value < tcount or 4.10 < 6.773. The project-based model also shows the level of creativity between students who undergo learning with a project-based approach and those who use conventional methods. These findings indicate a significant effect of the project-based learning model on student learning creativity in Class XI of SMKN 1 Airmadidi with a ttable value < tcount or 4.10 < 6.418.

English vocabulary mastery of electrical engineering students at the State Polytechnic of Samarinda, Indonesia

English vocabulary mastery of electrical engineering students at the State Polytechnic of Samarinda, Indonesia

Implementation of Electrical Engineering Curriculum in the Era of Industry 4.0 in Indonesia: Stakeholder Participants Qualitative Interviews

The rapid development of science and technology has led to fundamental changes in terms of qualifications, competencies, and requirements to enter the industrial world. This has led to the adjustment of the effectiveness of collaboration between industry and higher engineering education, thus necessitating further consideration of engineering higher education curricula that are oriented towards the industrial revolution. The aim of this study is to examine how the electrical engineering curriculum can be adjusted and improved to be more relevant to the technological advancements and industrial demands of the Fourth Industrial Revolution era in Indonesia. This qualitative descriptive study utilizes the Focus Group Discussion (FGD) method and semi-structured online interviews. Stakeholder participants including the heads of Electrical Engineering programs in the top twenty universities in Indonesia have been involved in this study. We explore perspectives on the implementation of the electrical engineering curriculum, its rationale, objectives, methods, and challenges in its execution. Herewith, curriculum revisions are deemed necessary while still adhering to the fundamental principles based on accreditation institution guidelines. The findings highlight that incorporating the latest technologies with a focus on practical skills relevant to the development of Industry 4.0 is essential. The latest technology supporting practical skills for electrical engineering students needs to be improved. Active involvement from all parties in the curriculum implementation is the key to producing competent graduates prepared to face global challenges in the era of the Fourth Industrial Revolution.

Genie‐on‐demand: A custom AI chatbot for enhancing learning performance, self‐efficacy, and technology acceptance in occupational health and safety for engineering education

AbstractOccupational Health and Safety (OHS) education is essential for preparing engineering students to maintain safety standards and prevent workplace hazards. Traditional learning resources, such as textbooks, can be time‐consuming and inadequate for immediate, context‐specific queries. Advanced AI chatbots offer interactive and immediate feedback, but they often lack specificity and depend on users' prompting skills, which not all students possess. This study introduces “Genie‐on‐Demand,” a custom AI chatbot designed to address students' queries with precise, curriculum‐aligned responses. Educators can train the chatbot using specific learning materials by uploading PDFs, ensuring relevant and accurate answers. A quasi‐experimental study was conducted with 106 electrical engineering students divided into three groups: those using the custom chatbot, those using a conventional chatbot (ChatGPT), and those employing traditional learning methods. Results demonstrated that the custom chatbot significantly improved learning performance, self‐efficacy, and technology acceptance compared to other methods. Students reported increased confidence and effectiveness in using the custom chatbot as a learning assistant. This study highlights the potential of customized AI solutions in education, with versatile applications across various disciplines.

Research on Practice Teaching Mode of Electrical Engineering based on Innovative Talent Cultivation

With the rapid development of science and technology, the electrical engineering field has an increasingly urgent need for high-quality talents with innovative spirit. In order to comply with this trend, it is particularly important to build a practical teaching mode of electrical engineering with innovative talent cultivation as the core. The purpose of this paper is to discuss the strategies of improving the innovation ability and practical ability of electrical engineering students by clarifying the teaching objectives, strengthening the combination of theory and practice, innovating the teaching mode, constructing advanced experimental and practical training platforms, deepening the cooperation between schools and enterprises, perfecting the ability assessment and feedback mechanism, constructing a diversified cultivation system, and establishing an effective incentive mechanism.

The Understanding of Electrical and Computer Engineering Students to Translate Sharia Economic Texts Via Google Translate

The potential of Islamic economics to develop in Aceh where Islamic culture and values ​​are very large and strong. Therefore, even though electrical and computer engineering students do not specifically study Islamic economics courses but live in Aceh, it is important to know the insight into Islamic economic texts. Google translate is very helpful in translating texts with nuances of sharia economics in Aceh to electrical and computer engineering students. This research was a descriptive-qualitative. The data used as a test comes from the abstract of an article by Ode and Hamizar (2024) entitled "Quantitative Analysis of the Relationship between Income and Welfare of Tuna Fishermen from the Perspective of Sharia Finance" which title is themed on sharia finance which is needed to determine the abilities of electrical and computer engineering students so that they can have insight related to the sharia economic system where this system is implemented in Aceh where they live. It can be concluded that electrical and computer engineering students can understand the interlingual translation of abstracts related to Islamic economics in English into Indonesian via Google Translate.

Factors Influencing the Entrepreneurial Interest of Electrical Engineering Students in the Field of Technopreneurship Using the Theory of Planned Behaviour

Provinsi Kepulauan Riau (Kepri) memiliki peran besar dalam Industri Pengolahan dan ekspor nasional. Namun, terdapat beberapa kendala yang dihadapi, seperti skill dan produktivitas tenaga kerja rendah, teknologi yang digunakan masih rendah, produktivitas industri terbatas, dan inovasi produktif lemah. Untuk itu, dunia pendidikan dan industri harus bekerja sama untuk meningkatkan fasilitas pendidikan dan kurikulum vokasi. Penelitian ini bertujuan untuk mengetahui faktor-faktor apa saja yang mempengaruhi minat berwirausaha mahasiswa teknik elektro di bidang technopreneuship dengan menggunakan theory of planned behavior. Penelitian ini dilakukan untuk membantu Politeknik Negeri Batam khusunya Jurusan Teknik Elektro dalam mengembangkan technopreneurship dan memberikan media bagi mahasiswanya untuk menyalurkan minat berwirausaha di bidang technopreneurship. Teknik pengumpulan data menggunakan kuesioner dan dokumentasi. Uji instrumen penelitian dengan menggunakan analisis validitas dan reliabilitas. Metode analisis data yang digunakan dalam penelitian ini adalah analisis deskriptif dan analisis faktor konfirmatori (CFA). Hasil penelitian menunjukkan dari 17 indikator yang dianalisis, dapat terbentuk 3 faktor baru yaitu faktor sikap terhadap Perilaku, faktor norma subjektif dan faktor persepsi kontrol perilaku. Sedangkan faktor yang paling dominan mempengaruhi minat berwirausaha mahasiswa teknik elektro di bidang technopreneurship adalah faktor Sikap Terhadap Perilaku dengan nilai varians sebesar 42.805%.

The underlying potential of NLP for microcontroller programming education

AbstractThe trend for an increasingly ubiquitous and cyber‐physical world has been leveraging the use and importance of microcontrollers (C) to unprecedented levels. Therefore, microcontroller programming (CP) becomes a paramount skill for electrical and computer engineering students. However, CP poses significant challenges for undergraduate students, given the need to master low‐level programming languages and several algorithmic strategies that are not usual in “generic” programming. Moreover, CP can be time‐consuming and complex even when using high‐level languages. This article samples the current state of CP education in Portugal and unveils the potential support of natural language processing (NLP) tools (such as chatGPT). Our analysis of CP curricular units from seven representative Portuguese engineering schools highlights a predominant use of AVR 8‐bit C and project‐based learning. While NLP tools emerge as strong candidates as students' C companion, their application and impact on the learning process and outcomes deserve to be understood. This study compares the most prominent NLP tools, analyzing their benefits and drawbacks for CP education, building on both hands‐on tests and literature reviews. By providing automatic code generation and explanation of concepts, NLP tools can assist students in their learning process, allowing them to focus on software design and real‐world tasks that the C is designed to handle, rather than on low‐level coding. We also analyzed the specific impact of chatGTP in the context of a CP course at ISEP, confirming most of our expectations, but with a few curiosities. Overall, this work establishes the foundations for future research on the effective integration of NLP tools in CP courses.

Memperkuat Persatuan Bangsa di Era Globalisasi Mahasiswa Prodi Teknik Elektro Universitas PGRI Adi Buana Surabaya

The era of globalization brings big challenges to the unity of the Indonesian nation, including among students. This research focuses on the role of Electrical Engineering Study Program students at PGRI Adi Buana University, Surabaya in strengthening national unity amidst globalization. The method used is a case study with a qualitative approach, involving in-depth interviews and participatory observation of 5 Electrical Engineering students. The research results show that students can contribute through: 1) Understanding and interpreting the concept of national unity, 2) Applying the principles of unity in their daily activities, 3) Working together with students from other majors to strengthen national unity, 4) Contributing to maintaining national values in the era of globalization, 5) Using social media responsibly.

Investigating the Impacts of A Simulation-Based Learning Model Using Simulation Virtual Laboratory on Engineering Students

Considering electrical engineering students at Universitas Negeri Medan as a case study, this research looks at how an SVL affected their grades. Integrating the TAM with the ABET Laboratory Learning Objectives, it provides a comprehensive framework for quality engineering and technology education. This research is the first of its kind to theoretically compare the two concepts in a VL context. This research examines the relationship between student performance in the classroom and the TAM's usability components as well as the ABET's learning objectives. The results from the surveys given to first-year Electrical Engineering students are analyzed using Structural Equation Modeling (SEM) and Partial Least Squares (PLS). Because it enhances student performance and satisfies their learning goals, the results demonstrate that utilizing simulation-based virtual laboratories (SVL) in engineering education offers substantial educational benefits.

Speaking Anxiety Among ESL Learners: A Comparative Study Between Electrical Engineering and Digital Technology Students

Speaking Anxiety Among ESL Learners: A Comparative Study Between Electrical Engineering and Digital Technology Students

A Comparative Study of Students Graduation Analysis Using Classification Methods in Undergraduate Electrical Engineering Tidar University

This research aimed to classify achievement factors for electrical engineering students at Tidar University using K-Means and Agglomerative Clustering classification algorithms. The goal was to understand if any parameters influence high-achieving student performance. The Indonesian government and private sector for university students provide significant education funds. Student scholarships are awarded based primarily on GPA and entry path, overburdening staff and causing confusion during distribution to eligible recipients. A system was needed to accommodate additional eligible criteria. The researcher selected factors to identify engineering student performance, including school origin, entry path, tuition fees, and GPA. These inputs could determine graduation status. The results compared calculation methods based on collected data accuracy, processing times, and characterizing clustered data to determine the best classification method. Agglomerative Hierarchical Clustering performed better. Accuracy testing on 600 training data points yielded 73.94% for improved K-means and 90.42% for AHC. The Average processing time was 674.92 seconds for improved K-means and 554.35 seconds for AHC. Silhouette testing also characterized calculation methods, with improved K-means scoring best at 0.654 and AHC at 0.787 using two clusters.

Teaching of Physics in Engineering from Problem-Based and Project-Based Learning Approaches

Within the scope of this research, an evaluation was conducted on the problem-based learning (PBL) and project-based learning (PrBL) methods in teaching physics to mechanical and electrical engineering students at a public university in Peru. Two groups, each consisting of 15 and 16 students, were carefully selected to ensure uniformity in academic, socioeconomic, and emotional aspects. The measurement of academic performance was conducted both at the beginning and the end of the period. The statistical analysis using the t-student test revealed that the PrBL method was significantly more effective than PBL. These findings underscore the association between the choice of learning methods and the specific scientific area being taught, emphasizing the superiority of the PrBL approach in this educational context. This discovery suggests that implementing learning strategies that incorporate a project-based approach can be a valuable option to enhance academic performance in scientific disciplines.

Evaluation of a novel General Education Courses on Radiation Protection for Undergraduates.

Objective: To evaluate the effectiveness of a general education course titled "The Basis of Radiation Protection" in building and strengthening undergraduate awareness of radiation safety and cultivating innovative individuals with reasonable knowledge structures and strong practical abilities. Methods: All students from 2021 to 2022 enrolled in the core general education course "The Basis of Radiation Protection" at Shandong University of China were invited to participate. A questionnaire survey was conducted to determine changes in the students' basic cognition of radiation safety and scientific protection before and after the course. Results: The survey indicated that the cognitive level of radiation science protection had significantly improved through course completion. The Liszt quantification score range increased from 3.45 to 4.77 to 4.81 to 4.98 (p < 0.001). Further analysis revealed that different professional backgrounds significantly affected students' understanding of radiation safety protection; medical students were superior to electrical engineering students in their knowledge of ionizing radiation before the course (p < 0.001). However, after course completion, the understanding of students from both majors regarding radiation safety had relatively improved, and no significant difference was detected (p > 0.05). Feedback on the course showed that the awareness of "daily radiation protection" had significantly improved (96.8%), pseudoscience and pseudo-information could be correctively identified (93.6%), "nuclear power"-related fears had been dispelled (95.7%), and the concept of "cherishing life" had been effectively established (91.5%). Conclusion: The course effectively improved the awareness of radiation safety, strengthened the knowledge system, and provided a new way to cultivate innovative talent with reasonable knowledge structures.

Kesiapan Kerja Setelah Melaksanakan Praktek Kerja Industri Siswa Kelas XII SMK Negeri 2 Solok

This research aims to determine the impact of industrial work practices on the readiness for work among 12th-grade students in electrical installation engineering at SMK Negeri 2 Solok. This study falls under quantitative research, with the research subjects being 26 12th-grade students in electrical installation engineering at SMK Negeri 2 Solok. Data collection was done through questionnaires and documentation. The questionnaire was used to measure variables related to industrial work practices, student readiness, and the location of industrial work practice. Data analysis was conducted using data analysis tests for normality, homogeneity, and the F-test. The questionnaire results indicate an influence on the readiness for work among 12th-grade students in electrical installation engineering, with an average questionnaire score of 178, a maximum score of 218, a minimum score of 117, and a standard deviation of 23.681. The normality test yielded a sig(2-tailed) value of 0.894 &gt; 0.05, the homogeneity test had a sig value of 0.758 &gt; 0.05, and the F-test had a sig value of 0.013 &lt; 0.05. Based on the data analysis results, it can be concluded that there is an impact after conducting industrial work practice on the readiness for work among 12th-grade students in electrical installation engineering.

Effective virtual laboratory to build constructivist thinking in electrical measurement practicum

Constructivism serves as a basic theory in education, and plays an important role, because this perspective views learning as a dynamic process in which students actively participate in constructing their knowledge. So, this research aims to produce a virtual laboratory that is valid and effective in developing constructivist thinking. This research and development use the Ploom approach which consists of initial investigation, design, construction/realization, testing, evaluation, revision, and implementation. Thirty-two electrical engineering students from Padang State University participated in this research. The instruments used are validity instruments and constructivism assessment tools. The research results show that the Proteus-based virtual laboratory developed is valid and effective in fostering constructivist thinking in electrical measurement practice. This study contributes to the advancement of virtual laboratories in educational settings, emphasizing the importance of constructivist pedagogy for meaningful and engaging learning experiences in the field of electrical engineering. The results of this research open opportunities for further research regarding the exploration of artificial intelligence to improve constructivism through virtual laboratories.

The effectiveness of the SPjBL learning model in improving creative thinking skills of electrical engineering students

One of the problems that is often encountered in the current study of the electrical engineering department is students’ low level of creative thinking skills. Therefore, this study aimed to test the effectiveness of the Sustainable Project Based Learning (SPjBL) learning model in improving the creative thinking skills of electrical engineering students. The experimental model used in this research was classroom action research. The research method used was an experiment with data obtained from 69 respondents from two groups of students. The obtained data were analyzed using an independent t test and NGain Score. The results showed that the SPjBL learning model was effective in improving the thinking skills of electrical engineering students. Furthermore, this research is expected to provide a comparison in determining the type of learning model that is suitable for teaching-learning activities at schools.

Genre analysis of introduction section in electrical engineering undergraduate laboratory reports.

This study examines the genre of Engineering Laboratory Reports (ELR) introduction section written by Electrical Engineering Undergraduates in a higher learning institution. The aims of this study are to identify the rhetorical moves and combinations of move patterns used by electrical engineering (EE) students to write introduction section. A genre analysis was conducted to identify writing patterns and convention practices of engineering undergraduate students thus a corpus of N = 35 was selected from electrical engineering students in their final year of study. This study adopted Genre Theory as its theoretical framework, Ngowu 1997 analytical framework and BCU approach for analysis procedure. A pilot test was conducted to determine the model that fits the best to describe moves and steps of ELR. Coding scheme was developed and intercoder reliability showed a significance of 0.91 The study benchmarks a move or step to be present in at least 60% of the reports. The finding shows the introduction consists of one main move which is providing background information of the experiment and followed by four subsequent steps which are reference to research purposes, reference to theoretical knowledge in the field, providing an overview of the study and identification of main research apparatus. The move 1 and all four steps identified above are viewed as obligatory, conventional and optional move and steps in introduction section among undergraduates in academic context. The exemplification of finding shows lack of compliance among undergraduates to produce EELR based on university's guideline in discussing previous literature and underpinning theories, lack of referencing and citation, absence in describing apparatus used and non-sequential moves steps. This study posits the importance of collaboration between English for Academic (EAP) practitioners such as English-writing instructors and discipline specific specialist from engineering field to further improve on genre-based writing instruction, and to identify student learning needs. The method employed in this study may be replicated to analyse other sections of scientific and technical reports such as method, result, discussion and conclusion (MRDC) that may pave ways to address grey areas for improvement in this genre.

Streamlining Electrical Distribution Using LVMDP Panels in Indonesia

This study investigates the efficiency of load balancing in Low Voltage Main Distribution Panels (LVMDP) through an industrial internship program for Electrical Engineering students. Utilizing a descriptive methodology with observation-based data collection, the research highlights the distribution of power across R-S-T phases—12,944.00 W, 12,912.00 W, and 13,032.00 W, respectively—demonstrating a nearly balanced load. The findings suggest that practical training can significantly enhance understanding and management of electrical panels, offering crucial insights into improving electrical distribution systems globally. Highlights: Hands-on Training: Students gain practical experience in electrical panel manufacturing, enhancing their skills and understanding of real-world applications. Critical Infrastructure: LVMDP panels play a crucial role in ensuring efficient and safe electricity distribution within buildings, emphasizing the importance of their construction and maintenance. Data-Driven Analysis: The descriptive method and observational data collection provide insights into power needs and load sharing, facilitating informed decision-making for electrical system optimization. Keywords: Panel, LVMDP, Planning