Faculty Of Computer Science Research Articles

Determinant of Career Choices Awareness Among Undergraduate Students

The increasing number of unemployed and job competitiveness causing the students to have a hard time choosing their career choices. Thus, this research aims to study on influential factors affecting awareness in career choices among UiTM Kota Bharu students. The factors included in the study are family influence, personality, peer influence, environment and economic consideration. Stratified random sampling was used and the population involved in the study was undergraduate full-time students from UiTM Kota Bharu, Kelantan. The students were drawn from two faculties that are available in the campus. The students in semester three until seven for Faculty of Computer and Mathematical Science (FSKM), and the students in semester one until six for Faculty of Business Management (FBM). The primary data was obtained through a survey where the questionnaire that was distributed to the 328 samples. Based on the result, it was found that family influence, personality, peer influence, environment and economic consideration have a positive relationship with career choice awareness. Other than that, family influence, personality and environment are the factors that influence career choice awareness among student since it has a p-value that is lower than 0.05.

Perancangan dan Implementasi Virtual Tour Sebagai Media Promosi Inovatif Pada Fakultas Ilmu Komputer

Esa Unggul University has experienced a decline in the number of applicants for the Faculty ofComputer Science, particularly in the Information Technology and Information Systems programs.To address this issue, a Virtual Tour application based on Virtual Reality (VR) was developedusing Unity and Oculus Quest 2 as a promotional tool. This application provides a deeper insightinto the campus facilities, enhancing prospective students' interest. The development method usedis the Multimedia Development Life Cycle (MDLC), encompassing planning, design, development,testing, and implementation stages. Testing results indicate that this application is effective inattracting new student interest. The Virtual Tour application has proven to be an innovative andbeneficial promotional tool for Esa Unggul University.

Design of a Web-Based Monitoring and Evaluation Application for Mentoring Using the Rapid Application Development Method at The Faculty of Computer Science UNIKA Santo Thomas Medan

The academic and thesis supervision processes at the Faculty of Computer Science, UNIKA Santo Thomas Medan, currently face various challenges, including a lack of clear structure in scheduling and difficulties in monitoring student progress. To address these issues, this research aims to develop a web-based application that supports monitoring and evaluation of the supervision process. The application is designed using the Rapid Application Development (RAD) method, which facilitates flexible and responsive development tailored to user needs. With features such as supervision scheduling, student progress tracking, and automatic evaluation, this application is expected to enhance the effectiveness of supervision, facilitate communication between lecturers and students, and support more structured academic management within the faculty. The implementation of this application has successfully improved the efficiency of the supervision process and ensured that students receive more structured guidance.

Generative Artificial Intelligence on Mobile Devices in the University Preparation of Future Teachers of Mathematics

The integration of artificial intelligence (AI) is revolutionizing the field of education. The possibilities of AI in education range from providing intelligent tutoring to facilitating computational thinking, a key skill in an AI-based society. As education systems around the world adapt to technological advances, the need for teachers to develop AI skills becomes crucial. This paper explores the use of AI on mobile devices to improve the preparation of future mathematics teachers. We acknowledge the need for teachers to be skilled in the use of AI tools to foster collaborative, effective, and ethical learning environments. We also provide a case study of our implementation of the generative AI ChatGPT in the preparation of future mathematics teachers at the Faculty of Mathematics, Physics and Computer Science at Comenius University in Bratislava. After this implementation, we analyzed students’ opinions on the application of AI in selected areas. We present the results of this analysis and the implications for the practical use of AI in the university education of future mathematics teachers. Finally, based on our study results, we highlight the possibilities of the successful use of AI in different aspects of teaching and its temporary limitations, which are likely to be reduced by further technological developments.

Information System For Thesis Title Submission At The Faculty Of Computer Science, Dehasen University Bengkulu Based On Web Service

Information System For Thesis Title Submission At The Faculty Of Computer Science, Dehasen University Bengkulu Based On Web Service

Leadership development through interactive e-training: the impact of gender and learning style

ABSTRACT The study examined how gender and learning style affect interactive e-training for leadership abilities and favorable attitudes toward leadership. This study included 172 University of Hail (UOH) students, both men and women. These students came from the university's Faculty of Applied Medical Sciences, Computer Science and Engineering, and Education. Kolb's Learning Style Inventory classifies people as Divergers, Assimilators, Convergers, and Accommodators. Participants took Hail Virtual Training Platform's Interactive e-training leadership skills course. A substantial link was found between trainee gender and their chosen learning styles (Diverger, Assimilator, Converger, and Accommodator) in interactive e-training environments for leadership development. The research also found a substantial association between gender and trainees' classification into Diverger, Assimilator, Converger, and Accommodator by interactive e-training environments. This classification affected trainees' leadership views. Future research could compare e-training, mixed training, and flipped training to improve young soft and hard skills and experiential learning. Skills and attitudes research includes LS (learning styles), gender, academic specialism, and Ie-Training. Future studies may examine interactive training technologies for pandemics.

Research Project Topic Recommender System Using Generative Language Model

Education has become a driver of a person's continuous innovation to improve their quality. Currently, the use of artificial intelligence determines progress in education. In this research, artificial intelligence technology was applied to develop a web-based recommendation system to help students at the Faculty of Computer Science, Klabat University, choose appropriate research topics for their final assignments. To provide personalized and contextually relevant suggestions, the recommendation system leverages deep learning and generative language models, specifically GPT-3. The Rapid Application Development process model is employed to develop the system. Its key components include semantic search, rapid engineering, and an advanced vector database for effective data management and retrieval. The functions provided by the system include user account registration, login, input of major subject grades and research preferences, and personalized recommendation results. Some additional features such as profile management, previous recommendation history, and password reset options are also provided. All these functions have been tested using the black box method.

ASSESSING VOCABULARY LEARNING STRATEGIES (VLS) ACROSS DIVERSE PROFICIENCY LEVELS

This research paper explores the application of Vocabulary Learning Strategies (VLS) between low level of proficiency students from faculty of Business Management and high level of proficiency students from faculty of Computer Science. This research paper employs quantitative approach where data were collected using purposive sampling from a sample of 71 participants representing various proficiency levels of English language in a public university in Melaka, Malaysia. To gauge learners’ awareness and application of VLS, a survey adapted from Alahmadi’s (2019) version of Schmitt’s (1997, 2000) Taxonomy of Vocabulary Learning Strategies Questionnaire (VLSQ) was administered to participants. Findings revealed that there are significant differences of VLS utilization among English language learners of various proficiency levels where students with high proficiency levels display better strategy awareness and application contrasted to the lower proficiency level of English language learners. Thus, from these results, it is pertinent for educators to modify vocabulary instructions and strategies to boost vocabulary attainment among different proficiency levels in English language learning settings.

Prediction of On-time Student Graduation with Deep Learning Method

Universities have an important role in providing quality education to their students so they can build a foundation for their future. However, a problem that often arises is that the process experienced will be different for each individual. Therefore, it is necessary to apply on-time graduation predictions for students with academic attributes in the hope that educational institutions can better understand student conditions and maximize on-time student graduation. In this study, a deep learning method was implemented to help predict on-time graduation for students at the Faculty of Computer Science, University of Brawijaya. Based on the test results and hyperparameter tuning using Optuna, the best hyperparameter configuration for the deep learning method consisted of number of layer combinations = 4; first-layer nodes = 118; first dropout = 0.3393; second-layer nodes = 83; second dropout = 0.0349; third-layer nodes = 88; third dropout = 0.0491; fourth-layer nodes = 65; fourth dropout = 0.4169; number of epochs = 244; learning rate = 0.0710; and optimizer = SGD. Thus, an accuracy rate of 86.61% was achieved for the two classes of the test data set, i.e., on-time graduation and not on-time graduation.

Understanding of Linear Algebra Concepts through the TAPPS (Thinking Aloud Pair Problem Solving) Learning Model at the Faculty of Computer Science, Dharma AUB University of Surakarta

Education aims to improve the quality of human life which is technically through lectures. A good lecture produces a positive influence on students' ability. The interaction between lecturers and students in the class is an important role in achieving the goals. Linear Algebra is an important subject in the Mathematic. Many students think that Linear Algebra are difficult. Linear Algebra at the Faculty of Computer Science, Dharma AUB University of Surakarta have not been able to improve students' understanding of Linear Algebra concepts. Because of class that are centered on lecturers. Based on the description above, the author applies the TAPPS (Thinking Aloud Pair Problem Solving) cooperative learning model to increase concept understanding of Linear Algebra. Formulation of the problem in this research: "Is there an increase concept understanding of Linear Algebra after using the TAPPS learning model?". This research is a qualitative descriptive group with the type of Classroom Action Research. The data used are field notes and documentation. Based on the research results, it can be concluded that there is an increase in understanding of the concept of Linear Algebra through the TAPPS (Thinking Aloud Pair Problem Solving) model.

“That Sounds like Something Geniuses Do”: Exploring How Vertical Transfer Computing Students Conceptualize PhD Pathways

There are currently too few computer science faculty to meet student demand, and faculty from historically minoritized groups are severely underrepresented. Expanding pathways from community colleges to PhDs is one critical avenue to both grow and diversify the computer science professoriate that has been underexplored. To gain insight into these pathways, this phenomenological study utilizes interviews with community college transfer students in computer science to examine how they conceptualize PhD study as part of their academic trajectories. Findings highlight experiences (e.g., serving as a tutor) that promote early interest in PhDs among this diverse and talented group of students.

Pemanfaatan Internet of Thing Dalam Dunia Pendidikan Sekolah Menegah Atas Negeri 1 Kepahiang

The relationship between technology and education has been going on for quite a long time. The use of information and communication technology for learning is increasingly developing. With the idea of ​​developing the internet of things (IoT), the use of technology for learning is increasingly showing significant progress. As a consequence, life activities are very dependent on the Internet, one of which is carrying out the education process. Considering the enormous potential for development of Internet of Things (IoT) technology, knowledge about this technology and how to use it in everyday life is very necessary. SMAN 1 Kepahyang has development potential in utilizing IoT technology, but requires training in its use in education. For this reason, the Faculty of Computer Science, Dehasen University, Bengkulu conducted community service regarding IoT technology to students at SMAN 1 Kepahyang. Material related to IoT is provided in stages from introduction to practical use of IoT in everyday life. The results of the training show that the students gained knowledge about how to use IoT in education

Enhanced Empowering Futures through Online Job Portal

This research aims to develop a job web portal for the students in the Faculty of Computer Science and Information Technology. The main aims of this portal are to connect with industries and act as an online recruitment tool to support students in finding the right IT job after graduation. Furthermore, this system enhances the understanding of the concept and importance of the job portal for students in universities. A survey was conducted to identify the students’ problems with the existing portal of the faculty and to gather their requirements, which can be incorporated into the portal to be developed.

Władysław Natanson (1864-1937).Odsłonięcie tablicy pamiątkowej na UJ

On January 18, 2024, a commemorative plaque dedicated to Prof. was unveiled. Władysław Natanson, co-organizer and first president of the Polish Physical Society (1920-1922). The ceremony was attended by, among others: prof. Piotr Kuśtrowski, vice-rector of the Jagiellonian University, prof. Teresa Rząca-Urban, president of the PTF, prof. Bogdan Kowalski, secretary of the PTF Board, prof. Ewa Brocławik, director of the 3rd Faculty of the Polish Academy of Sciences, prof. Ewa Gudowska-Nowak, dean of the Faculty of Physics, Astronomy and Applied Computer Science of the Jagiellonian University, prof. Wojciech Macyk, dean of the Faculty of Chemistry of the Jagiellonian University, members of the Management Board of the Krakow Branch of the PTF, as well as descendants of prof. Natanson and numerous guests. After unveiling the plaque, a memorial lecture was delivered by prof. Józef Spałek.

Development of a mobile app to optimize organization and assessment for clinical teaching in dentistry

The aim of the current study was to develop an application for mobile devices that can improve the organization and documentation of clinical teaching in dental schools. The app should include a calendar to organize treatments, an overview of all treatments including the treatment stages, a digital waiting-list for the teacher’s assessment, and a standardized recording of all assessment results. Students and members of a Medical Faculty and a Faculty of Computer Science and Business Information Systems jointly developed the app. Twenty-three students tested the usability after 4 weeks. Next, the new app was tried and tested by n = 79 forth-year students who used it for 2 months during their clinical course. Fifth-year students of the same clinical course who did not use the app constituted the control group. Afterwards, the app was standard implemented in both integrated clinical courses and evaluated after 1 year by the same students both in winter and summer semester. After usability test, the majority of students (81%, n = 18) said they would recommend the app and gave it a mean overall score of 2.0 ± 0.6. Next, course organization and assessment was evaluated by n = 75 fourth-year students (95%) who used the app and by n = 40 control students (74%) who did not use the app. Students who used the app reported significantly better organization of treatment ( p = .002), documentation of treatment ( p = .001), waiting for the teacher’s assessment ( p = .038), overview of treatment sessions ( p = .040), and transparency of grading and assessment ( p = .012). After 12 months, the now fifth-year students still gave very good ratings for the organization of the treatment and the transparency of the grading in both evaluations, so that no significant changes were detectable (organization p = .959 and the rating p = .751). The newly created app improves the organization and evaluation of clinical education and even after 1 year of service, the students still perceive the consistently high advantages of digitization.

PERBANDINGAN KOS PEMBELAJARAN DALAM KALANGAN PELAJAR KAMPUS SERI ISKANDAR, UiTM PERAK

Excellent academic achievement is the target of student learning efforts at every level of study. Unfortunately, dealing with financial problems during the study session is often one of the causes of academic dropout among students nowadays. Aware of this, UiTM Perak in particular has offered zakat assistance as a financial solution to selected students to ease the financial burden through the establishment of the Zakat, Sedekah and Waqf Unit. However, the existing distribution method which is done based on the average cost of study for asnaf students, is relatively often somewhat misguided from the objective of fair aid distribution considering that the background of asnaf students is from various studies and bear different learning costs. Therefore, in order to succeed in an alternative method of fair distribution of zakat aid and achieve its goals, this study was conducted with the objective; identify the financial needs of UiTM Perak Branch students according to the department and semester of study, explain the differences in the cost of learning needs between faculties and further re-evaluate the more relevant zakat distribution method according to the current situation. This study was carried out quantitatively through the distribution of online questionnaires to the students of the Faculty of Architecture and Material Planning (FSPU), Faculty of Painting & Design (FSSR), Faculty of Accounting (FP), Faculty of Computer Science and Mathematics (FSKM) ) and the Faculty of Applied Science (FSG). Findings show that the need for learning costs for FSSR students is greater than other faculties. The hope is that this finding will fuel academic excellence among asnaf students through a more transparent and effective method of distributing zakat aid.

The Addition of Adaboost to The Use of The C4.5 Algorithm to Improve The Accuracy of Classification of Study Interests

Specialization is one of the important things in focusing the student's field of study. At one university that has a faculty of computer science, there is an Informatics Engineering undergraduate study program which is divided into two specializations, namely intelligent systems and software engineering design. At one university that has a faculty of computer science, there is a bachelor's program in Informatics Engineering which is divided into two specializations, namely intelligent systems and software engineering design. students find it difficult to choose one of the specializations in the informatics engineering study program. To overcome these problems, the authors provide solutions in the form of ideas that can recommend students in determining specialization. In this problem, the algorithm that will be used is the C4.5 algorithm based on forward selection plus adaboost. The results of the specialization classification use the selected attributes and iterate over the cross-validation so as to produce the right accuracy. Testing the C4.5 algorithm produces an accuracy of 93.89% and the C4.5 algorithm based on forward selection produces an accuracy of 94.44% while using the C4.5 algorithm based on forward selection with the addition of adaboost produces an accuracy of 94.63%. Based on these tests, it proves that there is an increase in accuracy by adding selection and adaboost features to the C4.5 algorithm.

Perencanaan Video Iklan dengan Teknik Motion Graphic untuk Promosi pada Universitas Swasta XYZ

Marketing and promotion methods have significantly evolved in the rapidly changing digital era, impacting various sectors including higher education. Particularly, the promotion of study programs at private universities has faced challenges, notably within the Faculty of Computer Science. Despite its continuous growth and innovation, attracting prospective students has become increasingly difficult as interest in the program has declined this year. This trend underscores the need for more engaging and efficient promotional strategies. Motion graphic animation has emerged as a creative solution within the advertising and promotion industry. Its dynamic visual appeal and ability to simplify complex messages make it an invaluable tool in marketing communications. Utilizing motion graphic animations for study program advertisements not only highlights the faculty's technological advancements and innovations but also aims to attract a digitally savvy and visually oriented young audience. This paper discusses the development of marketing advertisements designed to attract new students to XYZ university, detailing the process from feasibility studies and initial planning to analysis, advertising system design, and implementation. The methodologies for data collection include interviews and observations, with the application developed using Adobe After Effect, Adobe Illustrator, and Adobe Audition.

Assessing The Efficiency of Web-Hosted E-Learning Platforms in Afghanistan Academic Settings

This study investigates the utilization and effectiveness of web-hosted e-learning platforms within the academic environment of Herat University. Adopting a quantitative research design, data were collected through a structured questionnaire administered to students and faculty members across various disciplines. The sample comprised 190 respondents from the Faculty of Medical, Education, Computer Science, Economics, and Law. Analysis involved descriptive statistics and chi-square tests using SPSS 26 software. Findings revealed diverse platform preferences, with HELMS emerging as the most commonly used platform. Overall, participants expressed high satisfaction levels with platform usability and perceived effectiveness in facilitating student engagement and interaction. Challenges related to cost, internet connectivity, and technical issues were identified, impacting the learning experience. Recommendations include enhancing platform usability through user-friendly interfaces and comprehensive training, as well as addressing technical and connectivity challenges. The study contributes to understanding the current landscape of e-learning at Herat University and provides insights for improving educational practices and policies.

APLIKASI INFORMASI DIGITAL FAKULTAS ILMU KOMPUTER UNIVERSITAS MUSLIM INDONESIA

The selection of the appropriate information media is very important in supporting the success of delivering information to those concerned, including the Faculty of Computer Science, University of Muslim Indonesia.Furthemore, this research is made with the title "Digital Information Application Based on Website at FIKOM – UMI " to facilitate the delivery of information from faculty staff, study program staff, lecturers and faculty leaders to students to be more efficient in terms of costs, media used to the effectiveness of delivering and receiving information.This system is designed using UML modeling. Meanwhile, the programming language used is PHP and MySQL database.The information contained is the applicable regulations, agenda or event, today's lecture status, lecturers present today, articles that support academic knowledge and all academic and non-academic information deemed necessary to be conveyed to students.