Environment-Behaviour Proceedings Journal (E-BPJ)
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Determinants of Urban Recycling Behaviour: Evidence from Seremban, Malaysia
Get PDFRapid urban growth creates environmental challenges, making effective waste management crucial for sustainable cities. This study examines recycling intention among urban communities in Seremban, focusing on attitudes, subjective norms, and perceived behavioural control. A survey of 110 residents revealed that all three factors positively influence recycling intention, with subjective norms being the strongest predictor. This suggests that social expectations and community influence play a significant role in promoting recycling practices. The findings emphasise the importance of community engagement and social support, offering practical insights for policymakers to design strategies that promote sustainable waste management and urban sustainability
Assessing Employer Preparedness in Hiring PwCD: Evidence from trade, manufacturing, services and hospitality sectors in Klang Valley, Malaysia
Get PDFThis paper examines employer readiness to hire Persons with Cognitive Disabilities (PwCD) across trade, manufacturing, services, and hospitality sectors in Malaysia's Klang Valley. Despite national disability employment programs, significant barriers persist, including misconceptions about PWCD capabilities, insufficient workplace modifications, and limited knowledge of support systems. Using quantitative methodology with simple random sampling, data were collected from 238 organizations (including enterprise and cooperative societies) to assess employer preparedness and identify implementation gaps. Findings reveal substantial sectoral disparities, highlighting critical areas for intervention. The research offers actionable strategies to enhance inclusive hiring practices, improve employer awareness, and optimize government support utilization
Exploration of Material Manipulation: Utilizing glass wool residue as aggregate material in ceramic works
Get PDFCeramic production generates various waste materials such as clay, glaze, glass wool, bisque, glazed shards, and gypsum, all of which present disposal challenges and potential groundwater contamination. This study investigates the reuse of residual glass wool as an aggregate in ceramic bodies through a practice-based research approach. Despite being commonly discarded due to its fragility, glass wool was incorporated into different clay compositions from pre- to post-production stages to examine its material behaviour. Findings indicate that small additions enhance structural strength and produce unique surface textures, demonstrating a sustainable and innovative material strategy in contemporary ceramic practices
Big Data Analytics in Real Estate Valuation: A systematic literature review
Get PDFThis systematic literature review (SLR) assesses the applicability of big data analytics in real estate valuation by examining 77 studies published between 2018 and 2023. The findings reveal that this is an emerging research area with a growing body of literature. Key application contexts identified are property price prediction, property rental prediction, land value prediction, and property price indexing, with takeaways suggesting that big data analytics has the potential to enhance the accuracy of property valuation. Building on these insights, this study develops a comprehensive framework to synthesise the existing literature and serves as a foundation for future researchers
Android Malware Detection using Deep Learning Classification Approach
Get PDFAndroid devices are becoming increasingly popular, and there are more threats to Android users. This paper discusses Android malware detection using a deep learning classification approach. In this study, Android software was analysed using malware analysis tools, the selected features were extracted, and the results were compiled into a CSV file. Then, its use in CNN and RNN models for malware detection was analysed by measuring accuracy using the standard accuracy formula. According to the development process, CNN performs better at detecting Android malware, achieving 96 per cent accuracy, while RNN achieves 75 per cent accuracy
Enhancing the Radiata Pine and Spotted Gum Coating Performance against Weathering using UV Absorber
Get PDFCoatings are important to reinforce the competitive position of wood. The 320 wood samples were used in the study, with two species (Radiata Pine and Spotted Gums), two weathering conditions (Natural Exposure and QUV), and two coating systems (solid colour and clear). The effects of colour changes of the wood surface after natural weathering test (1 year) were studied. The most effective protection for stabilising wood colour involved coating radiate pine with a UV absorber and coating spotted gum with an untreated UV absorber
Effect of Adding a Trigger Hole and Cross-Section Foam on the Crash Box in Energy Absorption
Get PDFCrash box, as passive safety components in passenger cars, continue to be modified to enhance their ability to protect drivers. This study modifies crash box using nine specimens: three square, three hexagonal, and three circular models, designed with SolidWorks. Testing was conducted using the Finite Element Method (Abaqus) and experimental compression tests with a Universal Testing Machine. The material used is Aluminum AA 6061-T4, with manufacturing processes including cutting, marking, bending, and TIG welding. Results show that the two-hole hexagonal crash box has the highest energy absorption: 33.05 kJ experimentally and 29.49 kJ in simulation, indicating significantly improved crashworthiness
Evaluating the Effectiveness of Telegram Chatbots for Vocabulary Learning in ESL and EFL Contexts
Get PDFChatbots are a popular tool for language learning these days. This study evaluates LexiBot, a Telegram-based chatbot, for usability, engagement, and effectiveness on ESL and EFL learners. LexiBot was studied for vocabulary learning, specifically contextual clues at UiTM (Malaysia) and UD (Indonesia). According to a cross-sectional survey and interviews, ESL students used LexiBot autonomously. EFL students used it for scheduled tasks. Although usability was outstanding, low interest and repetitive exercise were criticized. The study underlines the need for adaptive chatbot features to increase long-term engagement and effectiveness. More research is needed on the customization of AI-powered language learning tool
Determining Effective Reinforcement Activities for Addressing Adolescent Self-Concept with Disciplinary Issues: A Fuzzy Delphi method approach
Get PDFThis study employs the Fuzzy Delphi Method to identify effective reinforcement activities for enhancing self-concept in adolescents with disciplinary issues. A panel of five experts evaluated ten items, achieving strong consensus across all criteria. Defuzzification values ranged from 0.88 to 0.98, indicating high agreement. The findings provide a reliable framework for developing strategies to address adolescents’ self-concept in disciplinary contexts. The study highlights the potential of targeted interventions in improving both self-perception and behavior among adolescents. Future research directions include practical implementation, longitudinal studies, and exploration of cultural variations in the applicability of these reinforcement activities
Arabic Vocabulary Applications Bibliometric Analysis from 1987 to 2024
Get PDFThis study analyzes the development and trends of Arabic vocabulary applications from 1987 to 2024 using bibliometric techniques.It examines 37 years of literature to address gaps in understanding their evolution and impact. Data were cited from databases such as SCOPUS as well as Web of Science, focusing on conference proceedings, articles, and reviews published within the defined timeframe. Various bibliometric indicators, VosViewer version 1.16.20 tools to analyze publication trends, citation counts, co-authorship networks, and thematic analysis were utilized to analyze the research landscape comprehensively. Findings highlight increasing publications, themes like gamification, and the shift to AI-powered tools, emphasizing future research directions