Computer Engineering Program Research Articles

Choosing YouTube Videos for Self-Directed Learning

YouTube provides a vital source for self-directed learning. YouTube’s search engine, however, ranks video clips according to popularity, relevancy, and view history rather than quality. The effect of this ranking on learners’ behavior and experience is not clear: Do learners tend to choose from the top of the returned search list? Does the choosing behavior affect their learning? Is the type of sought knowledge relevant in this process? To answer these questions, we conducted two experiments with sophomore-level students in electrical and computer engineering programs. The students were asked to learn about two new topics by watching YouTube video clips of their choice. The first topic conveys procedural knowledge about using the Quine McCluskey algorithm for minimizing logical functions. The second topic relates to the concept of the set-reset latch. In each learning session, the students had to report their watching behavior and experience by responding to an online questionnaire as well as to solve a problem related to the respective topic. The results show a clear tendency to choose from the top of the returned list. However, students’ performance in problem-solving was found to be uncorrelated with the choosing behavior. These results were similar for procedural and conceptual learning although the students’ performance in solving the conceptual problem was significantly lower. These findings indicate that university students who seek YouTube for self-directed learning can freely choose from the top of the returned search list without concern. There is no evident harm in doing so. However, students need to be thoughtful when using YouTube for conceptual learning. They should use different strategies such as watching multiple video clips, selecting video clips with higher viewer ratings, or watching video clips with related procedural knowledge to support the learning of new concepts.

Project-based Learning for Control Education during COVID-19 Pandemic

The paper presents a project-based learning approach for the undergraduate level first course on control systems in the context of electrical and computer engineering program. We share the experience of a complex engineering project model that assumes no access to lab facility due to the COVID-19 pandemic but targets learning outcomes of a fundamental control system course, i.e., system modeling, performance investigation, analysis, design of analog or digital controller for a selected open-loop unstable system. The project utilizes Tinkercad Circuits which is a free online circuit simulator. The approach provides a solution to one of the challenges of remote or virtual engineering labs, i.e., a requirement of having high-performance expensive hardware and resource-intensive software support. Results are presented in terms of student samples and learning outcomes achieved at the end of the project.

A framework for a curriculum to ensure minimum standard for flexible, experiential and multi-disciplinary learning towards achieving NEP-2020 goals

A well-designed and futuristic educational policy is very much essential for a nation at different levels of education, since good education leads to economic and social progress of a nation. The education systems adopted by different countries differ by considering their own tradition and culture at different education levels to make the system effective. The Government of India recently has announced a new education policy, NEP-2020 based on the recommendations by an expert committee. However, there is a need for a specific plan to realize multi-entry multi-exit, experiential learning and multidisciplinary approach proposed in NEP-2020 for higher education in India, particularly Tier–II institutions. This paper proposes a framework enabling educational institutions to plan and prepare their curriculum ensuring various goals and objectives of NEP-2020. The proposed framework addresses the guidelines for Computer Science and Engineering programme and may be extended to other branches of Engineering. Keywords: NEP-2020, Outcome Based Education (OBE), Higher Education Institutes (HEI), Accreditation System, Experiential learning, Performance Ensuring Measures (PEM).

THE RELATIONSHIP BETWEEN SELF-EFFICACY AND LEARNING INDEPENDENCE WITH WORK READINESS OF CLASS XII STUDENTS OF SMK MUHAMMADIYAH 1 SUKOHARJO

<em>The research aims to understand the relationship between self-efficacy and independence student learning readiness work students. The research methodology used a correlational study. The population that was used in the research were all students XII computer engineering program at SMK Muhammadiyah 1 Sukoharjo covering 143 students. While the research sample of 72 students was obtained by a cluster random sampling method of sampling. Data collection in this research uses three that is scales of self-efficacy, scales of independence learning, and scales of readiness work students that have been tested the validity and reliability. The result showed that self-efficacy and independence learning has a positive and significant with readiness for work students, whether independent or simultaneous. </em>

PENGEMBANGAN E-MODUL BERBASIS ANDROID PADA MATA PELAJARAN KOMPUTER DAN JARINGAN DASAR UNTUK KELAS X TKJ DI SMK N 2 PEKANBARU

Based on the observations at Computer and Network Engineering program in Vocational High School 2 Pekanbaru, modules utilized in Computer and Network Basic subjects are not optimal. It very well may be seen from the absence of student motivation when reading the modules, because the modules is not interesting and still in form of paper sheets that must be photocopied first. Students still rely on teacher for getting information during learning. Based on it, this research aims to develop an Android based e-module on Computer and Network Basic subjects that are valid, practical and effective as an independent learning alternative that can be utilized independently by students. This research uses Research and Development (R & D) and Instructional Development Institute (IDI). And the advancement model comprising of three phases : define, develop and evaluate. The instrument utilized in this research is a questionnaire, that utilized to measure the validity and the practicality of Android-based e-module. Meanwhile, to measure the effectiveness uses multiple choice questions as instrument. The outcomes showed that the Android-based e-module are valid based on the validation on each aspect by the validator. Android-based e-modules are practical based on teacher / practitioner and student response. By comparing the learning outcomes of students before and after utilizing e-module, the learning result raise by 14% after learning used e-module. It means that Android-based e-module is effectively utilized as an alternative learning media that can be studied independently by students in improving learning outcomes.

Open Water Flume for Fluid Mechanics Lab

Open water flume tanks with closed-loop circulation driven by centrifugal pumps are essential for hydro experimentation in academic settings as well as research centers. The device is also attractive due to its versatility and easy-to-maintain characteristics. Nevertheless, commercial open flume systems can be expensive and become less prioritized in engineering schools. This paper describes the design and fabrication of an affordable, medium-size water flume tank, suitable for education purposes. The central piece of the system is a transparent observation chamber where fluid experiments are typically conducted and observed. The expected maximum average water speed in the observation chamber of about 60 cm per second was achieved by the inclusion of a 3 hp centrifugal pump. The size and capacity of the current design were constrained by space limitation and available funds. The educational facility was assigned as a two-semester multi-disciplinary capstone senior design project incorporating students and faculty of mechanical, electrical, and computer engineering programs in our campus. The design process provides a training platform for skills in the area of Computer Aided Designs (CAD), Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), manufacturing, and experimentation. The multi-disciplinary project has contributed to the improvement of soft skills, such as time management, team working, and professional presentation, of the team members. The total material cost of the facility was less than USD 6000, which includes the pump and its variable frequency driver. The project was made possible due to the generous sponsor of the Vibration Institute.

A learning experience toward the understanding of abstraction-level interactions in parallel applications

In the curriculum of a Computer Engineering program, concepts like parallelism, concurrency, consistency, or atomicity are usually addressed in separate courses due to their thoroughness and extension. Isolating such concepts in courses helps students not only to focus on specific aspects, but also to experience the reality of working with modern computer systems, where those concepts are often detached in different abstraction levels. However, due to such an isolation, it exists a risk of inducing to the students an absence of interactions between these concepts, and, by extension, between the different abstraction levels of a system.This paper proposes a learning experience showcasing the interactions between abstraction levels addressed in laboratory sessions of different courses. The driving example is a parallel ray tracer. In the different courses, students implement and assemble components of this application from the algorithmic level of the tracer to the assembly instructions required to guarantee atomicity. Each lab focuses on a single abstraction level, but shows students the interactions with the rest of the levels. Technical results and student learning outcomes through the analysis of surveys validate the proposed experience and confirm the students learning improvement with a more integrated view of the system.

Service Learning to Increase Utilization of X Video Editing Software Features within Limited Facilities for the Youth of Gereja Kristen Pasundan Cideres

The service learning in multimedia skills for teenagers and young people as training program for the community was conducted through the expertise of Bachelor Program in Computer Engineering, Faculty of Engineering, Universitas Kristen Maranatha, for Gereja Kristen Pasundan (GKP) Cideres. The purpose of this training was to equip people with skills or knowledge that can be useful in daily activities. As this training was given during the Covid-19 pandemic, by requirement of health and safety protocols, the service learning was implemented online via the internet in a form of webinar. Online digital activities are increasingly important as conventional physical interactions and communication in work or study environment become unsafe and to be avoided or to be done less often than usual. Unfortunately for most people, technical skills for working or studying online are not yet adequate, especially in multimedia using some recent tools and softwares. So in this program, basic multimedia producing skills using Microsoft Photos (video editing feature) and Microsoft Power Point were introduced. The end result of the training was satisfactory, as those who participate are being able to produce simple digital multimedia presentation using the aforementioned tools and softwares. The training program was held online on November 28th, 2020 via Zoom Meeting Application, and was made possible thanks to the collaboration of Bachelor Program in Computer Engineering with the Directorate of Student and Alumni Affairs, Universitas Kristen Maranatha.
 Keywords: Covid-19 pandemic; multimedia; service learning

Evaluation of Deep Architectures for Automatic Lung Infection Segmentation of COVID-19 HRCT Images

Deep learning has been one of the widely used techniques in biomedical image segmentation. COVID-19 is spreading rapidly all over the world. Early diagnosis of disease is necessary to control the pandemic. The common method of diagnosis of COVID-19 infection is RT-PCR (Reverse Transcription - Polymerase Chain Reaction) method. However, RT-PCR is prone to produce a number of false results and availability of RT-PCR kits is limited. Computed Tomography (CT) and X-Ray of lung can be used as an alternative tool to make the diagnosis, as the disease primarily targets the epithelial cells of the lung. The CT scanners considered to be diagnostic tools for COVID-19. The number of images to be analyzed by the radiologist is large therefore it is necessary to automate the task of CT Image processing. In this paper, we have developed an Automated biomedical segmentation system using five different deep learning architectures which performs the COVID-19 lung infection segmentation. The models are trained using open source datasets. Five deep learning models selected for study are U-Net, LinkNet, ResU-Net, ResU-Net++ and U-Net++. The U-Net++ model shown better results with a dice coefficient of 84.69%, sensitivity of 78.92%, specificity of 99.51% and precision of 92.12%. Experimental results are generated using PSG IMSR (Institute of Medical Sciences & Research) dataset, which is a collection of 75,000 images of nearly 125 patients. The radiologists have verified the results of infection segmentation. Automated infection segmentation of HRCT scans using deep learning models can be used for faster diagnosis of COVID-19. Impact Statement — RT-PCR method used for COVID-19 infection diagnosis is prone to produce a number of false results and the availability of a number of RT-PCR testing kits is limited. Medical imaging like chest CT scan can be used as alternative tool as the disease primarily targets lung. Due to wide availability of CT scanners, they are considered to be diagnosis of COVID-19. The number of patients who undergo scans and images to be analyzed by the radiologist is very large therefore it is necessary to automate the task. Deep learning approach can be used effectively to aid the Radiologists and Physicians. We have proposed deep learning based automated system which can greatly reduce the time in analyzing HRCT lung images of patients to ensure proper treatment to the needy patients. The system can assists in monitor the progress in patients recovery by comparing the infection present in the lung. This paper has been submitted on 14-July-2021. This project work is carried out as part master program in Computer science and Engineering.

Student Mastery of Association Concept In Aceh Selatan Polytechnic Computer Engineering Program

Mathematical Association material becomes difficult for students to learn since it is described in the form of set-forming notation and story-based questions (applied). Moreover, they find it difficult to determine the number of subsets with several determined members. The author's observations while teaching at the South Aceh Polytechnic Computer Engineering Study Program for the 2018/2019 academic year obtained data that students did not master Discrete Mathematics subjects, especially the material of the Association. This can be seen in daily assignments, midterm exams, and final semester exams. The author as a lecturer in the Study Program was disappointed with the results obtained. The approach and type of this research is a quantitative approach and a pure experimental type of research. The research sample of the second-semester students of the South Aceh Polytechnic Computer Engineering Study Program for the 2019/2020 academic year was 16 students. The research data was the test scores collected from students. The instrument in this study was a test question. The data collection technique in this research is a written test. Data analysis used t-test at a significant level α = 0,05, dk = 4, with standard value of = 69. Based on the analysis gained and . Thus, the result turns out or 1.83 > 1,75. Thus it is concluded that the mastery of Computer Engineering Study Program students at the Polytechnic of South Aceh for the 2019/2020 academic year in understanding the set material has reached a level of success.

PENGEMBANGAN E-MODUL BERBASIS ANDROID PADA MATA PELAJARAN KOMPUTER DAN JARINGAN DASAR UNTUK KELAS X TKJ DI SMK N 2 PEKANBARU

Based on the observations at Computer and Network Engineering program in Vocational High School 2 Pekanbaru, modules utilized in Computer and Network Basic subjects are not optimal. It very well may be seen from the absence of student motivation when reading the modules, because the modules is not interesting and still in form of paper sheets that must be photocopied first. Students still rely on teacher for getting information during learning. Based on it, this research aims to develop an Android based e-module on Computer and Network Basic subjects that are valid, practical and effective as an independent learning alternative that can be utilized independently by students. This research uses Research and Development (R & D) and Instructional Development Institute (IDI). And the advancement model comprising of three phases : define, develop and evaluate. The instrument utilized in this research is a questionnaire, that utilized to measure the validity and the practicality of Android-based e-module. Meanwhile, to measure the effectiveness uses multiple choice questions as instrument. The outcomes showed that the Android-based e-module are valid based on the validation on each aspect by the validator. Android-based e-modules are practical based on teacher / practitioner and student response. By comparing the learning outcomes of students before and after utilizing e-module, the learning result raise by 14% after learning used e-module. It means that Android-based e-module is effectively utilized as an alternative learning media that can be studied independently by students in improving learning outcomes.

USER EXPERIENCE (UX) OF MULTIMEDIA; PROGRAM OF AUTO PLAY MEDIA STUDIO FOR TEACHER PROFESSIONAL EDUCATION (PPG)

A factor that can influence the success of learning process is the use of learning media. Therefore, this research aims to evaluate the user experience of multimedia using the program of Auto play media studio for Teacher Professional Education (PPG). The research problem is how the teachers use multimedia in learning and how the teachers develop the multimedia by themselves using the computer technology program of media studio auto play. The research method is the user experience (UX) using the instrument from User Experience Questionnaire (UEQ) of Indonesian version, because there are several language versions of the questionnaire built and validated (for example, English, Spanish, Portuguese, etc.) These versions are available for free and online at www.ueq-online.org. The research result from the test of UEQ is that there are five scales which are categorized as excellent; they are Attractiveness, Efficiency, Dependability, Stimulation and Novelty, whereas the scale of Perspicuity is categorized of Above Average according to the interval benchmark of UEQ. All scores are above 0,08 shows that the evaluation of UX is positive. It can be concluded that the multimedia learning using the program of is very good – satisfying to use for the Teacher Professional Education for Islamic Education subject (PAI).

Akurasi Penjurusan Bidang Keahlian Teknik Komputer dan Informatika Menggunakan Metode SAW

Many students choose majors because of joining friends, because of the popularity of majors and other reasons even though the chosen majors are not in accordance with their talents. This research is expected to provide solutions to students regarding the majors they will choose. If this problem can be overcome then it will greatly affect both students and schools, the impact on students will be increased enthusiasm and enthusiasm for learning, for schools the impact will be the development of every department there is because the output produced is competent students because of the knowledge delivered right on target. This research is expected to minimize the mistakes in the selection or determination of student majors by applying the SAW method, can determine what variables determine the accuracy of the majors separation by applying the SAW method. The data tested on this system is the data of Bengkulu 1 Vocational School students as many as 100 student data on the Computer and Information Engineering skills program. he data that is processed in this system is the data of Bengkulu 1 Vocational School students as many as 204 student data on the Computer Engineering and Information Technology expertise program. The method of decision making in the system is the Simple Additive Weighting method. The results of testing this method from 204 test data performed for an accuracy of 94,61%. The high accuracy obtained from testing the data so that this system is very suitable to be used to determine the majors of students of SMKN 1 Kota Bengkulu in the field of Computer and Information Engineering expertise.

Akurasi Penjurusan Bidang Keahlian Teknik Komputer dan Informatika Menggunakan Metode SAW

Many students choose majors because of joining friends, because of the popularity of majors and other reasons even though the chosen majors are not in accordance with their talents. This research is expected to provide solutions to students regarding the majors they will choose. If this problem can be overcome then it will greatly affect both students and schools, the impact on students will be increased enthusiasm and enthusiasm for learning, for schools the impact will be the development of every department there is because the output produced is competent students because of the knowledge delivered right on target. This research is expected to minimize the mistakes in the selection or determination of student majors by applying the SAW method, can determine what variables determine the accuracy of the majors separation by applying the SAW method. The data tested on this system is the data of Bengkulu 1 Vocational School students as many as 100 student data on the Computer and Information Engineering skills program. he data that is processed in this system is the data of Bengkulu 1 Vocational School students as many as 204 student data on the Computer Engineering and Information Technology expertise program. The method of decision making in the system is the Simple Additive Weighting method. The results of testing this method from 204 test data performed for an accuracy of 94,61%. The high accuracy obtained from testing the data so that this system is very suitable to be used to determine the majors of students of SMKN 1 Kota Bengkulu in the field of Computer and Information Engineering expertise.

A Student Primer on How to Thrive in Engineering Education during and beyond COVID-19

In this paper, we strive to provide a primer for students on how to thrive and learn effectively in engineering education in the volatile, uncertain, complex, and ambiguous (VUCA) times following the onset of the COVID-19 global pandemic, which has disrupted the educational enterprise massively with universities physically closing in many parts of the world and students and faculty transitioning to remote learning. Although the immediate audience assumed in this paper comprises engineering students (such as those enrolled in electrical, electronics, or computer engineering programs) studying in an outcome-based education (OBE) environment—the global educational paradigm mandated by the Washington Accord that aims to standardize engineering competencies in terms of the attained student learning outcomes—the presented ideas are more general and broadly useful for learners of all types. We will describe seven evidence-based steps that the students can adopt to thrive in OBE settings in these challenging times. The main contribution of this paper is practical: we present a synthesis of the vast research literature on effective student learning in normal, online, and disrupted settings to present practical insights that students can leverage to substantially improve their learning. At the end of the paper, we also present a discussion of important issues related to remote teaching and online education such as ensuring equity and the handling of lab work for engineers in such settings (e.g., through simulators and virtual labs).

A Multidisciplinary Capstone Design Project to Satisfy ABET Student Outcomes

This paper presents a multidisciplinary open-ended capstone design project where students designed, built, and test drove a Formula Society of Automatic Engineers (FSAE) electric vehicle. The capstone team included students from computer, electrical, and mechanical engineering programs. Each student worked in on a subteam, namely, mechanical design, drivetrain, supervisory control and data acquisition, and battery management system. A thorough description of each subsystem is provided herein. Software architecture, system integration, and field test results are also reviewed. Team organization, faculty and industry involvement, and assessment of student outcomes are provided. This paper details the approach of building a bridge between academia and engineering practices. This paper also documents a process where undergraduate students research and master multiple technology areas and then apply them to the project’s focus. ABET student outcomes 1–7 were used to design and assess the course. Peer-to-peer rating and ranking are presented as an assessment tool for the multidisciplinary nature of the project.

Lecture-Free Classroom: Fully Active Learning on Moodle

Contribution: This article shows that today’s learning technologies have the potential to make lectures unnecessary by supporting student’s active learning in the classroom. Background: Despite worries about their pedagogical effectiveness, lectures remain the main instructional method in university classrooms. Introducing active learning into the classroom can be difficult due to class sizes and the challenge of providing appropriate scaffolding to individual students. This article shows that a thoughtful deployment of today’s learning technology can help in structuring a whole course as a set of activities, which can improve students’ engagement in the classroom. Intended Outcomes: With this full engagement in the classroom, students’ affective and learning attitudes as well as their learning performance are expected to improve. Application Design: Moodle was used to design learning activities for second-year students taking a digital logic design course in an electrical and computer engineering program. Throughout the semester, the students used the class time entirely to complete these activities and reflect on them. The instructor’s role in the classroom was limited to interaction with individual students or teams to clarify any questions. He did not give any lectures during the term. Findings: A total of 103 students took this course in Fall 2018 and Spring 2019. The students showed a strong acceptance of the presented instructional design. Their evaluation of individual learning activities was consistently positive and their performance in the final exam has improved considerably compared to the previous offerings of the course.

KLASIFIKASI MINAT SISWA UNTUK PROGRAM STUDI JURUSAN TEKNOLOGI INFORMASI - POLITEKNIK NEGERI SAMARINDA MENGGUNAKAN METODE FUZZY C-MEANS CLUSTERING

Students who have graduated from high school or vocational high school will continue to a higher level such as Samarinda State Polytechnic. Samarinda State Polytechnic consists of several Departments including Information Technology majors. The Information Technology Department has 4 Study Programs including; D3 Informatics Engineering, D3 Computer Engineering, D4 Multimedia Information Technology and D4 Computer Technology Engineering. This research was conducted by classifying specialization of students who would continue their studies to the Department of Information Technology, Polytechnic State of Samarinda. Source data obtained from questionnaire. Data collection was carried out by questionnaire method, the questionnaire consisted of 15 questions and had 5 criteria. Each criterion has 3 questions. The questionnaire was distributed to 160 high school and vocational high school students in the city of Samarinda, East Kalimantan. Clusters in this study are divided into 4, namely cluster 1, an interest in the D3 Study Program in Information Engineering, cluster 2 an interest in the D3 Study Program in Computer Engineering, cluster 3 an interest in the D4 Study Program in Multimedia Information Technology and cluster 4 an interest in D4 in Computer Engineering Technology. Fuzzy C-Means method is used in solving these problems where the results of grouping cluster 1 consists of 41 students, cluster 2 consists of 46 students, cluster 3 consists of 21 students, cluster 4 has 52 students. The average MAPE percentage for the whole cluster is 27.07%.
 

Aportes en investigación formativa: caso de estudio de los semilleros de investigación en el programa de Ingeniería en Informática

The objective of the reflection was oriented to investigate the actions that, through formative research, can be carried out in the research hotbeds. Initially, the importance that research has had in the transformation of society is highlighted. In this way, it is specified in the contributions of formative research and research training as challenges of higher education institutions. Methodologically, an exploratory documentary research was carried out, developed in several phases, in the first phase an exploration was carried out in the Scopus database, inquiring about works in formative research in different areas. Next, the projects carried out by the students in their participation in the nursery are identified, and reviewing how their results have contributed to the objectives of the nurseries, but mainly to the formative research in the Computer Engineering program. Finally, it can be concluded that the contributions of the seedbeds contributing to various areas of knowledge.

Informática & sociedade no ensino de programação

Resumo: Este trabalho visa apresentar os resultados, desafios e aprendizados do curso de introdução à programação em Python, Java e C++, oferecido pelos Laboratório de Informática para Educação (LIpE) e Laboratório de Informática e Sociedade (LabIS), ambos da Universidade Federal do Rio de Janeiro (UFRJ), para um público diversificado e majoritariamente oriundo do ensino médio de escolas públicas do estado. Iniciado nas escolas do Rio, devido à necessidade de estudantes capacitados e engajados na manutenção e operação de laboratórios de informática restaurados pelo LIpE e reforçado pelo voluntarismo de estudantes universitários, o curso conta com centenas de estudantes e mais de três anos de realização bem-sucedida. Sustentado por mão de obra voluntária e baseado em tutoria, combinamos o ensino teórico e prático da programação com aulas contextuais que discutem a história e implicações sociotécnicas da computação. Contamos também com turmas dedicadas a mulheres, com monitoras e professoras para incentivar a maior participação feminina na área da tecnologia e computação. Vários estudantes egressos do curso conseguiram melhorar seu desempenho escolar a ponto de passar no vestibular para a UFRJ e tornam-se colaboradores voluntários como monitores para a continuidade do projeto. O curso é exemplo da integração do tripé acadêmico ensino-pesquisa-extensão, integrando as pesquisas produzidas pela linha de pesquisa em Informática e Sociedade do Programa de Pós-Graduação em Engenharia de Sistemas e Computação (PESC) da UFRJ nas aulas contextuais e servindo como laboratório para o desenvolvimento de materiais didáticos e softwares.
 Palavras-chave: Informática. Sociedade. Programação.