UTAR Institutional Repository (Universiti Tunku Abdul Rahman)
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    6132 research outputs found

    Sabah smart travel companion: AI-based travel diary generation with integrated itinerary planning

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    This project presents the development of the Sabah Smart Travel Companion: AI-Based Scrapbook Generation with Integrated Itinerary Planning, an interactive web application designed to enrich the travel experience by combining intelligent itinerary planning with automated travel documentation. Unlike existing travel platforms that emphasize only trip scheduling, this system highlights memory preservation through an AI-powered digital scrapbook. Core functionality includes automatic scrapbook page generation from user-uploaded photos and captions, supported by Large Language Models (LLMs) for image recognition, content categorization, caption generation, and dynamic layout design. Personalization is achieved through the Preference Weight Adjustment Model, which adapts scrapbook layouts based on user interactions and continuously refines future suggestions. The itinerary module functions as a streamlined, integrated support system, generating lightweight, customizable travel schedules through LLMs to complement the scrapbook experience rather than compete with it. Sabah, Malaysia, is chosen as the case study due to its cultural diversity and natural attractions, providing an ideal context for showcasing both itinerary guidance and memory documentation. This system is implemented as a web application to ensure accessibility across devices, making it practical for modern travellers. By addressing gaps in existing travel applications, this project aims to deliver a comprehensive, endto-end solution that that enhances travel planning while preserving personal experiences through intelligent digital storytelling

    Membership management system

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    This project presents the development of a Membership Management System (MMS) to address the inefficiencies associated with manual membership processes such as registration, renewals, and activity tracking. Organizations that rely on traditional methods face challenges including human error, operational delays, and difficulty maintaining member engagement. The proposed MMS automates these processes, significantly reducing administrative workload and enhancing data accuracy. Then, the system integrates multi-channel communication tools, including email, SMS, and push notifications, to improve communication between organizations and their members. This ensures timely updates on events, renewals, and payments, resulting in improved member satisfaction and engagement. Additionally, the MMS provides real-time data analytics and reporting, enabling organizations to monitor member behavior, financial contributions, and event participation, thus facilitating data-driven decision-making. Besides, a centralized database ensures the consolidation of membership data, preventing data fragmentation and supporting scalability as the organization grows. By automating routine administrative tasks and streamlining communication, the MMS enables organizations to focus on strategic goals while providing more efficient, secure, and scalable system for membership management. Ultimately, this system enhances the overall membership experience and improves operational efficiency and member retention

    Purchase list and recipe mobile application

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    Recipe system is a system that allow user to simplify in cooking process and meal planning. It will provide a various type of recipe for different tastes and dietary needs, including vegetarian, vegan and others. Each recipe includes step-by-step instructions in text form and photo so the user can easily follow. This system also has the purchase list function. It will calculate the estimated amount of ingredient needed for one week. This function will be based on the number of servings to calculate. It will recommend recipes that are based on the remaining ingredient so users can reduce the amount of food wasted. When the ingredient of the remaining ingredient list matches with the ingredient needed, the system will automatically mark the ingredient already had in the ingredient needed list. Furthermore, this system also had one function which is to display the nutrition of one week meal plan. This function helps user easily to plan a variety of meals while ensuring a balanced diet. Each recipe provided detailed nutritional information like the amount of protein, carbohydrates and other nutritional information. Users can be based on their body health to set up a meal plan. This system will be developed as a mobile application, and the user can be easier to use because mobile applications will provide a complete graphic interface. Users also can use the application anywhere and anytime

    The increase of buy now pay later (BNPL) services in Malaysia: Opportunities and risks

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    The rapid adoption of Buy Now, Pay Later (BNPL) services in Malaysia has transformed consumer purchasing behaviour, particularly among Millennials and Generation Z. While BNPL offers convenience, flexibility, and accessibility, it has also raised concerns over impulsive spending, debt accumulation, and declining financial responsibility. This study examines the relationship between four key factors such as perceived convenience, financial literacy, spending behaviour, and impulse buying tendency and the financial responsibility of BNPL users in Malaysia. A quantitative research design was employed, utilising a structured questionnaire distributed via online platforms to a sample of 400 Malaysian adults aged 18 to 60, including current and potential BNPL users. Descriptive statistics, Pearson correlation, and multiple linear regression will be employed to analyse the data, as has been done in the first two studies, to test the proposed hypotheses. The objective of the study is to provide empirically based knowledge of the influence of these behavioural and cognitive factors related to repayment discipline and debt management in the BNPL environment. This study will add to the academic literature on consumer credit behaviour, provide BNPL providers with recommendations to improve responsible use of BNPL for consumers, and provide government policy to inform a regulatory framework which promotes and protects consumer financial well-being while allowing consumers to be innovative as the BNPL environment continues to innovate in the digital credit space. Keywords: Buy Now Pay Later, Financial Literacy, Generation Z, Financial Responsibility, Repayment Discipline Subject Area: HG3691-3769 Credit. Debt. Loan

    The nexus of banking reformation, institutional quality, and economic growth: Evidence from Nigeria

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    This study examines the nexus between banking reformation, institutional quality, and economic growth in Nigeria, covering the period from 1998 to 2020. Banking reforms are represented by deposit interest rates, while institutional quality is measured using governance indicators from ICRG. Additional macroeconomic variables, including inflation and population, are incorporated as controls. Gross Domestic Product (GDP) growth serves as the measure of economic performance. The research employs the Autoregressive Distributed Lag (ARDL) model, with model specification guided by unit root testing, cointegration analysis, and diagnostic checks to ensure reliability and robustness. The findings highlight the existence of a long-run equilibrium relationship between banking reforms, institutional quality, and economic growth in Nigeria. The results further suggest that the effectiveness of financial reforms is conditional on the strength of institutions, indicating that reforms implemented in weak governance environments may yield limited or even adverse outcomes. This study contributes to the literature by providing empirical evidence on how financial and institutional dynamics jointly influence development in an emerging economy. The insights generated are valuable for policymakers in designing reform strategies that align financial sector adjustments with governance improvements. Recommendations include prioritizing institutional strengthening, enhancing transparency in policy implementation, and coordinating monetary reforms with broader development initiatives to foster sustainable economic growth. Keywords: Banking reformation, Deposit interest rate, Institutional quality, Economic growth, Nigeria, Governance. Subject area: HG1621-1638 Interest rate. Interest tables, HG8111-8123 Government policy. State supervisio

    Technology innovation mediate the effectiveness of digital assets management in Malaysia

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    This research investigates how technology innovation, incorporating artificial intelligence, blockchain, and cloud computing, actually mediate the relationship between risk level perception, investment objectives, network security, and the effectiveness of digital asset management (DAM) in Malaysia. Using established technology adoption model and diffusion of innovation theory, the study found that technology innovation mediated the DAM efficiency by enhancing predictive analytics, security, transparency and scalability. Despite those benefits, there are still barriers to technology adoption and investment, including cybersecurity breaches, willingness to trust artificial intelligence, and privacy concerns associated with cloud data. The findings suggest that sustained DAM growth includes a balance between technology innovation, management efficiency through strong security, and staying in a compliant regulatory environment that includes trust and operational resilience. These findings provide a valuable manuscript for investors, policymakers, and Fintech providers. Keywords: technology innovation; digital asset management; risk level perception; investment objectives; network security Subject Area: HG179 Personal finance Subject Area: HG4501-6051 Investment, capital formation, speculation Subject Area: HG4530 Investment companies. Investment trusts. Mutual fund

    Cohabitation and relationship stability: Understanding the challenges and adaptive strategies of unmarried couples

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    In Malaysia, unmarried cohabitation is increasingly common, but limited research has been done on how couples deal with this arrangement in a society shaped by cultural and religious norms. This qualitative phenomenological study aimed to explore the challenges and adaptive strategies towards challenges that faced by unmarried couples during cohabitation, as well as how they affect their relationship stability. The interviews were conducted online through Microsoft Teams platform and open-ended questions were asked during the interview. There were a total of eight individuals which formed four couples and the age range of the participants were from 20 to 30. The participants were all Chinese Malaysian and had cohabitated for at least six months. Thematic analysis was used to capture the essence of participants’ experiences and generate themes according to the research objective. The findings discovered a few themes which were adjustment to living habits, external pressures, financial tension, enhanced relationship understanding through cohabitation, strained relationship, collaborative maintenance of household and relationship, conflict resolution and negotiating societal and familial perspectives. The challenges faced by unmarried cohabiting couples caused stress, frequent arguments and doubts about the relationship which will affect relationship stability. The findings of this study showed that unmarried cohabiting couples in Malaysia need to deal with a combination of personal, cultural and financial stressors. This research brings significant practical implications for implementing relationship modules, developing awareness campaigns and educational seminars and gaining insights into potential challenges in the future by reflecting on the live experiences of other unmarried cohabiting couples

    The development of LLM tools for generating educational animations to enhance learning in mathematics

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    Educational videos have become a crucial content-delivery tool in all levels of education, particularly in blended and online learning environments. Creating high quality educational animations for mathematics instruction remains resource-intensive and technically challenging, limiting educators' ability to produce engaging visual content for blended and online learning environments. Traditional animation workflows require specialized technical skills and substantial time investment, creating barriers between pedagogical expertise and effective content delivery. This project introduces a novel Domain-Specific Language (DSL) that enables Large Language Models (LLMs) to automatically convert natural language descriptions of mathematical concepts into structured animation commands. The core innovation lies in bridging natural language input with precise animation instructions, allowing educators to generate visualizations for complex topics such as function graphing, geometric proofs, and calculus derivatives using simple text descriptions. The system architecture integrates GPT-4o for intelligent content interpretation, a custom TypeScript animation library supporting mathematical visualizations and transformations, and Google Text-to-Speech for synchronized narration. Users input high-level prompts describing mathematical concepts, which the LLM processes through the DSL to generate modular, reusable animation scripts that render as web-based visualizations. This work contributes a reproducible framework for AI-driven educational content creation that democratizes animation production for mathematics instruction. The modular architecture and open DSL design provide immediate practical value for mathematics educators while establishing scalable foundations for broader STEM disciplines. The system represents a significant advancement in the intersection of artificial intelligence, computer graphics, and educational technology. By lowering the barriers to educational animation creation, this project aims to enhance the learning experience for mathematics students, with potential extension to broader STEM discipdlines

    Adoption of smart home automation system among Gen Y in Malaysia, a behavioral study

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    In the current digital era, a smart home automation system (SHAS) is gaining popularity due to its diverse benefits for household use. However, the adoption of SHAS in Malaysia, especially among Generation Y (Gen-Y) citizens, remains low. This study examines the relationship between the theory of Diffusion of Innovation variables (relative advantage, compatibility, complexity, trialability, and observability), perceived usefulness (PU), technology awareness, and the intention to adopt SHAS among Malaysian Gen-Y. Using items adapted from selected sources, a closed-ended questionnaire was pre-tested and validated by pilot study participants. The final questionnaires were distributed online. Main survey data were collected through snowball sampling and analyzed both descriptively and inferentially to test the seven hypotheses. Trialability, PU, and technology awareness are significant variables. This suggests that real-world experiences, practical benefits in solving specific issues, and the level of awareness and familiarity with SHAS are important motivators for adoption among Gen-Y in Malaysia. Additionally, this study offers strategic insights for policymakers to improve current policies, develop new ones, and provides valuable knowledge for academics about the evolving digital environment and SHAS. Keywords: Smart Home Automation Systems (SHAS), Theory of Diffusion of Innovation (DOI), Perceived Usefulness, Technology Awareness, Malaysian Gen-. Subject area: T1-995 Technology (General

    The influence of AI adoption in customer service and its impact on customer satisfaction levels among Generation Z

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    Adoption of AI chatbot in customer service has become normalized in various industry to enhance business interactions with customers for better efficiency. The customer satisfaction on using AI chatbot has become a crucial issue and challenge to achieve at business level. This research is conducted to find out the linkage of the factors of AI chatbot service quality towards customer satisfaction among Generation Z. A total of 5 independent variables are proposed, including reliability (RL), responsiveness (RE), tangibles (TA), and empathy (EM), to study their effects on customer satisfaction (CS), the dependent variable of the research. And so, the study collected responses of 384 respondents with ages ranging from 13 to 28 years old, typically those in Malaysia, who experienced in AI customer service; after the pilot study, a small scale study of 30 respondents are done. With the data collected, the study utilized Software Package for Social Science (SPSS) to analyse the relationship between the DV and IVs in terms of reliability, coefficients and multiple regression. As a result, EM is found out to be having the greatest impact on CS, following by RL and TA, while AS and RE did not effect on the DV in our study. In addition, this study contributes to the future implications for both academicians and practitioners by offering significant insights to the modification of future research and guidance on designing AI chatbot for a better satisfaction from the customer and user perspective. Keywords: Customer Service, Artificial Intelligence, Generation Z, Customer Satisfaction, AI Chatbot Subject Area: HF5001-6182 Busines

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