Journal of Mathematics and Computing Science

The Influence of Mathematics Self-Efficacy and Mathematics Anxiety on Students’ Intrinsic Motivation in Learning Mathematics-Related Subjects: A Multiple Linear Regression Analysis

Mon, 18 Dec 2023 00:00:00 +0100

This study primarily focuses on students’ intrinsic motivation. Specifically, the ultimate aim of this study is to investigate the influential factors contributing to students’ intrinsic motivation to learn mathematics related subjects. Participants of this study were 137 students (45 male and 92 female) from Universiti Teknologi MARA (UiTM) Kelantan Branch, Kota Bharu campus. Data were collected using an online questionnaire which was distributed through the WhatsApp platform. A multiple linear regression analysis was employed to achieve the objective of the study. Results show that both mathematics self-efficacy and mathematics anxiety significantly affect students’ intrinsic motivation in learning mathematics related subjects. The study also found that mathematics self-efficacy is the most important factor that contributes to the students’ intrinsic motivation.

Requirements Elicitation Activity for Online Internship System

Mon, 18 Dec 2023 00:00:00 +0100

An internship is a part of a working experience in which students are expected to gain working experience by working at a company or organization for a short amount of time as part of the program. The management of student internships has traditionally been handled manually using Microsoft Word and Microsoft Excel, which has resulted in a significant number of duplications. In addition, human error is one of the issues which lecturers and the students typically encounter. Apparently, hardcopy documents are no longer convenient to students, practical coordinators, and the industry representatives. Therefore, the objective of this study is to conduct requirement elicitation activity for obtaining user requirements for an online internship system known as Computer Science Department Internship Information System (CODIIS). The chosen methodology for CODIIS development is the Waterfall model whereby it consists of five phases namely planning, analysis, design, implementation, and maintenance. The requirement elicitation activity results in clear needs on CODIIS which helps to justify the importance of integrating internship-related information.

Modelling Customers’ Satisfaction Towards Online Shopping using Multiple Linear Regression

Mon, 18 Dec 2023 00:00:00 +0100

Online shopping can be defined as the process a customer takes to purchase a service or product over the internet. Online shopping is the easy solution for busy life in today’s world. With the advancement of technology and the huge role of the internet, online shopping has been fulfilling customers’ and businesses’ needs. In Malaysia, online shopping has begun to grow, thus, it is essential to embrace issues that influence customers’ satisfaction. The purpose of this study is to determine factors affecting customers’ satisfaction towards online shopping. A cross-sectional design was used in this study conducted among Universiti Teknologi MARA Cawangan Kelantan, Kampus Kota Bharu (UiTMKB) students. A sample size of 336 students from Part 2 to Part 6 studying in semester October 2020 to February 2021 was obtained using Proportionate Stratified Random Sampling technique.

E-Voting Mobile Application System

Ainul Azila Che Fauzi; Nur Izzah Binti Mohd Ab Ghani, Auni Fauzi — Mon, 18 Dec 2023 00:00:00 +0100

Any democracy must have an open voting process that satisfies the demands of the populace in order to assign power to the most qualified candidate. A fair and transparent election system is essential to the freedom that the majority of people in today's world enjoy. In every nation, voting is an important and serious occasion. However, the traditional elections are controlled and managed by a centralised authority, which makes them vulnerable to numerous security privacy, fraud, integrity, and fairness issues. On the other hand, electronic voting offers less errors and quicker counting. It can also remove votes that are questioned or declared invalid. Currently, the election system used by Universiti Teknologi Mara Cawangan Kelantan (UiTMCK) is suffering from a poor voter turnout since the system in place is not convenient for most students. Normally, the students would have to stand in a long queue to register when joining a voting event. As the registration of the students is recorded manually, it is difficult for the event organizer to manage the event efficiently. It is also unable to prevent any irresponsible authorities who may exploit and manipulate the votes in favor of their preferred candidates which temper the expected free and fair elections. Therefore, E-Voting Mobile Application System (E-Voting MAS) is proposed to overcome these problems. E-Voting MAS was developed using Agile model. This study proves the E-Voting MAS is feasible at UiTMCK, utilizing an approach that seamlessly integrates convenience and security.

Application of Fuzzy Analytic Hierarchy Process (FAHP) In Choosing a Comprehensive University for Medical Course

Mon, 18 Dec 2023 00:00:00 +0100

The Malaysian education system offers a wide range of courses to school leavers in public and private universities. Medical course is one of the courses chosen by outstanding students. Several universities across the country offer such courses. This study is going to determine the most favorable comprehensive universities in Malaysia that offer medical courses and examine the ranking of criteria that have an impact on choosing universities. Specifically, this study applied fuzzy triangular numbers (TFN) and fuzzy analytic hierarchy process (FAHP) to multi-criteria decision-making (MCDM). A set of questionnaires was distributed to the students of matriculation session 2020/2021 which were from Module 1. Responses were analyzed using Microsoft Excel based on FAHP Chang’s model. FAHP shows the first rank university having the highest total weight vector. Universiti Malaysia Sabah (UMS) got the first rank based on the criteria chosen.

Evaluating the Usability of Interactive Infographics for Raising Tuberculosis Awareness Among UiTMCK Students

Wan Salfarina Wan Husain, Siti Hasrinafasya Che Hassan — Mon, 18 Dec 2023 00:00:00 +0100

One of the sustainable development goals (SDGs) is related to good health and well-being.
By 2039, one of the issues that wants to be solved is tuberculosis. Due to the ease of tuberculosis infection, anyone can be exposed to this disease. Lack of knowledge and low awareness about this disease can bring more critical consequences. Therefore, interactive infographics were used since they have the power to visualize content and they became popular on digital and social media platforms. Yet, only a few studies investigated the impact of design on target users. This paper presents the design and development of an infographic-based ADDIE model instructional design on health education that
focuses on tuberculosis awareness. Creating an interactive awareness platform is a great idea which is suitable for the educational environment in conveying the idea through media social. The purpose of this study was to evaluate the usability of interactive infographic awareness on tuberculosis among 90 UiTM students. The results from the System Usability Scale (SUS) assessment indicated that the use of an interactive infographic for tuberculosis awareness is a successful platform, achieving a 'Good' rating with a score of 78.

Integral Constraints Pursuit Problem for 3 System of Differential Equations in Hilbert space

Diviekga Nair Madhavan, Idham Arif Alias, Gafurjan Ibragimov, Risman Mat Hasim — Tue, 19 Dec 2023 00:00:00 +0100

This paper investigates a pursuit game of an infinite 3-system of differential equations involving one pursuer and one evader. Integral constraints are imposed on the players’ control parameters where the resource of the pursuer is greater than that of the evader. The aim of the pursuer is to bring the initial state 0 of the system into another non-zero state 1 of the system at some timeon a finite time interval to complete the pursuit. We constructed a control function needed in solving control problems of the system and developed an admissible pursuer’s strategy to solve the pursuit problem. Pursuit is shown to be completed in the game as the state of the system reaches state 1 at afinite time >0.

The Solution of Third Order Ordinary Differential Equations using Adomian Decomposition Method and Variational Iteration Method

Tue, 19 Dec 2023 00:00:00 +0100

Solving ordinary differential equations is crucial in physics, engineering, and mathematics. Adomian decomposition method and variational iteration method are two of many methods in solving ordinary differential equations. Both techniques involve constructing the required iterative or recurrence formulas based on the equation under consideration and additional requirements, allowing the identification of succeeding iterations of a series or sequence approximately matching to solve the third order ordinary differential equations. In this study, adomian decomposition method and variational iteration method will be used in solving homogenous and nonhomogeneous third order ordinary differential equations and analysis on method of solutions will be discussed. Overall, it is identified that both methods are efficient in solving linear third order ordinary differential equations.

Application of Fuzzy Analytical Hierarchy Process in the Selection of Social Networking Sites

Tue, 19 Dec 2023 00:00:00 +0100

Social networking sites (SNS) have become a ubiquitous part of modern life, with millions of people using SNS to stay in touch, to network, and to share information. SNS also provides a platform for university management to communicate with students and keep them informed about events, deadlines, and other important information. Besides, SNS allows students to access information, resources, and knowledge from a variety of sources, including university staff, other students, and subject-matter experts. With so many options of SNS available, the university management must identify which platform is commonly used by students. Hence, this study proposes a Fuzzy Analytic Hierarchy Process (FAHP) approach to evaluate and rank five popular SNSs: Instagram, Facebook, TikTok, Twitter, and YouTube among students in Universiti Teknologi MARA Cawangan Kelantan (UiTMCK). Five experts were invited to provide a rating of the performance values of criteria, sub-criteria, and alternatives using a linguistic scale. The evaluation is based on four criteria: Content (C1), Functionality (C2), Usability (C3), and Privacy (C4), with another eight sub-criteria. The results demonstrate the effectiveness of the FAHP in selecting the best SNS and indicate that Facebook (A1) is at the first ranking followed by Instagram (A2), TikTok (A3), Twitter (A4), and YouTube (A5). Content is identified as the most important criterion with advertisement as the preferred sub-criterion. The findings of the study highlight the importance of utilizing social media platforms to enhance creativity in promoting programs and events, which can increase student participation and engagement in university activities.

A Binary Logarithm Similarity Measure with Roughness Approximation

Sun, 31 Dec 2023 00:00:00 +0100

Roughness measures for uncertainty data occur with less consideration since the data involve indeterminacy and inconsistency. The indeterminacy plus inconsistency can be solved by a rough neutrosophic set with roughness approximation. Therefore, a binary logarithm similarity measure for a rough neutrosophic set with roughness approximation was proposed in this research. A rough neutrosophic set was chosen as the uncertainty set theory information, which includes the upper and lower approximation with a boundary set approximation. The objectives of this research are to define a binary logarithm similarity measure for a rough neutrosophic set, to formulate the properties satisfied by the proposed similarity measure, and to develop a decision-making model by using a binary logarithm similarity measure for a case study (COVID-19). The roughness approximation was used in the derivation of the binary logarithm similarity measure. The proving result was finalized. Then, the derivation of binary logarithm similarity measures of a rough neutrosophic set was well defined. As a validation process, the similarity properties for identifying the most important priority group for COVID-19 vaccines were used such as age, health state, women, and job types. Following that, the decision-making for identifying the most important priority group for COVID-19 vaccines is presented.

The Development of a Web-based Car Rental Business Management System

Thu, 16 Nov 2023 00:00:00 +0100

A car rental service is essential, especially in areas with less available public transport. For example, out-campus students need transportation to attend classes in campus areas. Even in a tourism area, car rental service is crucial. Despite relying on public transport, tourists can rent a car and enjoy their trips without being tied to the public transport schedule. However, manual car rental booking is risky for car owners and customers. In case of accidents or a car being stolen, it would be difficult for the car owner to track the customers’ data. On the customers’ side, it is crucial to protect their rights by getting the best-expected service from money spent. This includes their preferred choice of car, price, and the car’s condition. In this article, a one-stop center web-based car rental system is proposed to assist car owners in managing their car rental business while providing customers with an easy booking process.

Prediction of Tuberculosis Disease Using SIR Model with Implementation of Runge-Kutta Method in Malaysia

Sun, 31 Dec 2023 00:00:00 +0100

The purpose of this paper is to anticipate the rate of tuberculosis disease transmission by contrasting two scenarios: one with and one without demography. This paper involved the application of Susceptible-Infected-Recovered (SIR) mathematical model, SIR model with implementation of Fourth Order Runge-Kutta method in order to analyse the number of individuals in three compartments: susceptible, infected and recovered. Furthermore, this paper examined tuberculosis disease prediction by comparing two SIR models and percentage of error by comparing to actual data. The least percentage error model will be chosen to proceed with the prediction of tuberculosis incidence rate for each 100,000 people in Malaysia for 2022. Next, the value of parameters for transmission rate, β and recovery rate, γ, are varied in order to see the effect on incidence rate value. As a result, it was found that SIR model with demography was more accurate and applicable to use as a prediction model for tuberculosis disease. It was also shown that the number of people reported at the peak of the graph decreases with the decrease in transmission rate. Meanwhile, at the end of the year, the incidence rate per 100,000 individuals increased with a reduced transmission rate and a higher incidence rate per 100,000 individuals regardless of recovery rate. Thus, it can be concluded that these variables give significant impact in determining the incidence rate of tuberculosis.

Statistical Analysis of Factors Influencing Health Literacy Level Using Multiple Linear Regression Analysis

Sun, 31 Dec 2023 00:00:00 +0100

Health literacy is defined as the ability to receive, read, comprehend, and use healthcare information to make informed health decisions and follow treatment guidelines. It is one of the most critical aspects of health promotion. Limited health literacy is also accounted for adverse health outcomes and a huge financial burden on society. The aim of this cross-sectional study is to identify on how gender, income, and attitude towards a healthy lifestyle can influence health literacy level. The objectives of this study are to determine the relationship between gender, financial status, and attitude towards a healthy lifestyle towards health literacy level and to determine the most influential factors between gender, income and attitude towards a healthy lifestyle that affect health literacy level. 301 samples out of 1369 undergraduate students in UiTM Cawangan Kelantan, Kampus Kota Bharu (UiTM KB) has been chosen by using stratified random sampling. This study is a consequence of a lack of study about the health knowledge level among university students. The instrument used to evaluate the students’ health literacy was the European Health Literacy Survey Questionnaire (HLS-EU-16). The methods used were correlation analysis and multiple regression analysis. The findings show that the level of health literacy among university students is sufficient at the rate of 37 out of 50 points. Furthermore, health literacy among students explained by their attitude towards healthy lifestyle was 84.9%, whereas gender and income level were not significant factors determining health literacy level.

Islamic Educational Mobile Application Based on Play Therapy for Autism Children

Sun, 31 Dec 2023 00:00:00 +0100

Autism Spectrum Disorder (ASD) is becoming more prevalent among children worldwide. Three main issues that affect ASD children are behavior, communication, and social interaction. Children with special needs have the same right to engage in education, especially religious education. The main concern in delivering education to these special children is how to maximize their learning. They need teachers and parents to recognize their unique needs and abilities. ASD children have problems staying focused in learning. They are also not interested in lengthy content and linear materials such as books. Currently, the development of mobile applications is growing as many could benefit from it. This research will suggest a development of an Islamic educational mobile application for ASD children, which is built on the idea of enhancing visual and attentional skills based on play therapy. Since it is commonly known that children with ASD do not play in the same manner as regular children, the use of play therapy with ASD children has gained attention as a research topic. Auto play therapy is the term for the play therapy used with children who have ASD. The Mobile Application will include parent’s engagement as well for learning monitoring. This project was developed using Mobile Application Development Life Cycle (MADLC). The result and findings defined that most users agreed that this mobile application was easy to use, not complex, consistent, integrated well with elements and they are willing to use it frequently.

Literature Analysis of the Emotional Colours in Big Brand Logo Design

Nik Nahdiya Nik Kamaruzaman, Marhainis Jamaludin — Sun, 31 Dec 2023 00:00:00 +0100

Every brand proclaims its own identity through its logo. Any logo has its vision, whether through symbols, shapes, or colours. One of its colour features is that colours play a vital role in directing the immediate emotional responses of the viewers. Nonetheless, little academic research has explored the effect of colours in the logo design of big brands that manage to grasp people's attention and retain their memory for the longest time. This paper analyses the research on colours and emotions articulated by logo designs using colour theory. The author explored the emotional resonance of colours in the logo design of big brands and linked it with several computer techniques applied to detect emotional colours. The result reveals a connection between colours' emotions and the essence of their brands; colours do portray distinctive emotions related to their brand identity, hence several techniques could assist in that mission. Towards the end, the study noted that the other brands, particularly the new ones, should be explicitly particular in choosing the colours for their brands to hold people’s memories.

A Multiple Linear Regression in Determining the Influential Factors of Cashless Payment Adoption Among University Students

Sun, 31 Dec 2023 00:00:00 +0100

The procedure of receiving and making payments has altered as a result of the development of mobile wallets and online payment options. Different sorts of payment methods have emerged as a result of ongoing technological and governmental developments. However, the adoption of cashless transactions in Malaysia was relatively slow due to a lack of awareness and confidence about security concerns. Hence, this study aims to determine the level of Adoption of Cashless Payment among university students. A total of 232 UiTM Cawangan Kelantan, Kampus Kota Bharu (UiTMKB) students were involved in the study using stratified sampling. Five factors had been examined which were Performance Expectancy, Social Influence, Perceived Technology Security, Perceived Ease of Use and Hedonic Motivation. The study revealed that all factors had a significant effect on the Adoption of Cashless Payment, with Social Influence as the most significant influence.