Journal of Mathematics and Computing Science

Exploring the Connections between Students' Motivation, Self-Efficacy, Personality, and Academic Achievement through Ordinary Least Squares Estimation

Fri, 06 Dec 2024 00:00:00 +0100

The inability to anticipate students’ academic performance may lead to insufficient preparation upon facing upcoming global challenges. This study aims to measure the relationship between students’ motivation, self-efficacy, and personality on academic achievement. Additionally, the study aims to compare students’ academic achievement levels between different genders. Employing simple random sampling with a 95% confidence level and a 10% margin of error, the study involved 78 participants from the Diploma in Mathematical Science program at a prominent higher education campus in Kelantan, Malaysia. Data collection was done through self-administered questionnaires, and data analysis employed ordinary least squares estimation and an independent t-test. The findings reveal only Motivation (p-value = 0.041) has significant relationships with students’ academic achievement. Notably, no discernible differences in academic achievement were observed between genders (p-value = 0.913). The study offers valuable insights for higher education administrators and policymakers seeking to enhance students’ academic achievement.

The Reconstruction of the Quartic Bezier Curve Using Uniform Parameterisation

Fri, 06 Dec 2024 00:00:00 +0100

This study proposes the reconstruction of a higher Bezier curve using uniform parameterisation to improve the design of a curve. The parameterisation process is the key element in the reconstruction of the curve. The reconstruction process starts by selecting an image. Next, the boundary is extracted from the image. Using uniform parameterisation, the parameter value of the image is determined. Then, new control points for the image are calculated. In the next stage, the construction of the image is implemented. The finding displays an improved reconstruction compared to the initial curve. The reconstruction proposed in this study is provided with systematic and scientific techniques that can benefit designers, businesses, and the craft industry. This proposed study can also enhance the creativity and innovation of the design industry.

The Development of Mobile Application for College Event Attendance System

Fri, 06 Dec 2024 00:00:00 +0100

Events organised by students’ residential colleges require the participants to sign in to the event. The existing sign-in system is by taking attendance manually, and the attendance records are stored in a physical file. Therefore, the objective of this study is to develop a mobile application to automate the signing process and events’ data management. This study is motivated by the lengthy waiting time for participants to stand in a long queue and manually sign on a piece of paper. The attendance paper is then stored physically in a file, which is exposed to misplacement, damage, and loss. Additionally, retrieving and analysing attendance and event data also becomes cumbersome when the physical file must be manually sorted. To overcome these problems, College Events Attendance Monitoring System is developed by following the Waterfall model, which has a stable cycle of development where the phases are carried out sequentially. Event organisers can add, edit, and delete events’ data from the system. Students can register as participants to an event, sign in to the event, rate the event, and see the history of events attended through the mobile app. As part of the security, user registration authentication is ensured through One-Time Passwords (OTPs). End-user evaluations indicated high satisfaction with the app’s features and usability.

Challenges in Developing Artificial Intelligence-based Systems using Classic Software Development Life Cycle

Noorihan Abdul Rahman — Mon, 09 Dec 2024 00:00:00 +0100

Artificial intelligence (AI) tools have become an essential part of modern software systems, driving automation, predictive analysis, and intelligent decision-making. However, the development of AI tools using traditional software engineering methodologies, specifically the Software Development Life Cycle (SDLC), presents unique challenges. This paper explores the intricacies and limitations of the classic SDLC in the context of AI-based system development, covering issues related to requirements gathering, design, implementation, testing, deployment, and maintenance. The analysis highlights the need for flexibility and iterative development models to meet the dynamic nature of AI projects. This paper summarises possible considerations that need to be taken care of since building AI-based systems requires a more flexible and iterative approach to accommodate the uncertainty, complexity, and dynamism in its own development.

The Effectiveness of BCG Vaccination Using SEIR Mathematical Model of Tuberculosis Transmission

Mon, 09 Dec 2024 00:00:00 +0100

Tuberculosis (TB) is an airborne contagious disease that poses a threat to the human population around the world. In 2022, an estimated 10.6 million people fell ill with TB worldwide, making it the common cause of death globally. Although the implementation of the BCG vaccination program has started since a decade, the vaccine itself offers limited protection. As immunity wanes over time, re-infection will occur even in vaccinated individuals. This paper discussed the effectiveness of BCG vaccination to control the spread of the disease. The SEIR mathematical model of TB transmission is constructed by considering the re-infection of vaccinated individuals. A brief analysis on the existence and local stability of the equilibria is conducted along with the basic reproduction number. The results showed that the value of R₀ is 1.46 in the absence of vaccination, while R₀ = 1.06 when the vaccination rate is at v = 0.55. However, as v ≥ 0.63, the value of R₀ is less than 1, indicating that the disease dies out. The numerical simulation proved the effectiveness of higher vaccination rates in order to eradicate the TB disease from the population. The study’s findings can contribute to the advancement of public health policy to control the spread of the disease.

Design and Integration of IJTutors Tuition Center Management System

Mon, 09 Dec 2024 00:00:00 +0100

In recent years, managing the tuition centres using a traditional approach has become inefficient. It has also become inconvenient for both parents and students. This project recognises the competitive education landscape in Malaysia. It also acknowledges the growing demand for online tuition. Therefore, we suggest creating a web-based Tuition Centre Management System (TCMS) for the Iltizam Jaya Tuition Center. The current process for managing tuition is done manually, including tasks like registering new students, keeping track of their information, assessing them by subject and class, and organising study materials. This project aimed to streamline the processes, offering an accessible online platform for registration procedures, static timetable management, payment tracking, homework and lesson posting, subject management, and performance reporting, contributing to a more efficient and effective educational environment. The Iterative Waterfall Model methodology for Tuition Centre Management Development was used in this study. It covered the feasibility study phases, requirement analysis and specification, design, coding and unit testing, and maintenance. The results and discussion of the IJTutors TCMS explore the feedback from 30 respondents through assessments of the user interface and in-depth system testing using the System Usability Scale.