Journals of Universiti Tun Hussein Onn Malaysia (UTHM)
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Evaluating Performance in Vocational Education: Determinant Factors of Successful University-Industry (UI) Partnerships
Get PDFEfforts to overcome the gap between graduate absorption capacity and market demand require collaboration between University-Industry (UI). So, collaboration between UI is important to improve the quality of graduates. This study aims to explore the success factors of UI partnerships, especially vocational education in improving the quality of graduates and field users. The research approach used is quantitative with a survey design. The research sample consisted of 450 participants including 173 lecturers and 277 industry practitioners with purposive sampling techniques. The PLS-SEM technique was used to test the structural model involving 10 variables, 50 constructs, and 25 hypotheses. The results showed that the success factors of UI partnerships can be explained by 72.90% to 93.20% of the partnership success indicators. Adaptability factors (93.20%), performance assessment (92.70%), facilities (92.20%), and continuous improvement (91.70%) are the main success factors, while the acculturation factor of industrial values has the lowest contribution (72.90%). The structural model can explain the impact of partnerships by 65.90% and 62.30% on the dimensions of UI partnership success. This study contributes to the adjustment, implementation, and standardization of industry-based curriculum needs, to increase the absorption of graduates in the industrial world. The novelty of this study lies in identifying specific factors that contribute significantly to the success of UI partnerships in the context of vocational education
Solar-Powered Smart Bus Shelter in UTHM Campus
Get PDFThis project involves the designing and implementation of solar-powered smart bus shelters within the UTHM campus. The current UTHM bus shelter faces challenges such as lacking real-time information, safety issues due to a lack of lighting support, and bad student experiences while waiting for a bus due to hot or bad weather. Therefore, this project seeks to enhance the students or passengers experience when they want to board on the bus and the bus shelter could provide real-time bus location display, LED lighting, and fans powered by clean solar energy. Incorporating the Internet of Things, the smart bus shelter provides the students with precise real time bus location information that enhances their safety and convenience. Besides that, the smart bus shelter also provides a messenger to notify students which bus approaches which bus shelter in order to reduce the possibility of students missing chances of boarding on the correct bus. The project helps in sustainable development by reducing energy consumption and supporting environmentally friendly public transport solutions. By extensive testing and evaluation, the performance and reliability of the prototype are validated, proving its potential in transforming the conventional bus shelter into the intelligent energy-saving system
Investigation of Peak Ground Acceleration on the Kuala Penyu Fault and Its Influence on the Malaysia National Annex
Get PDFThis study investigates the peak ground acceleration (PGA) using probabilistic seismic hazard assessment (PSHA) in Kuala Penyu, Sabah. The data from four earthquake events and mud volcano activity in four highly active areas in the region provided the basis for this in-depth study. The PSHA considered parameters such as earthquake data, source modeling, ground motion model (GMM), maximum magnitudes, and logic trees. The evaluations performed in this study were based on three objectives. The first objective is to update the available earthquake catalog around the Sabah region. The second objective is to characterize the seismic source model by determining seismic hazard parameters, including selecting a suitable GMM and identifying the maximum magnitudes. Finally, the third objective is to conduct a PSHA to calculate hazard estimates in terms of PGA. The PGA for Kuala Penyu, Sabah, was measured at 0.106 g, an increase of 430% when considering the Kuala Penyu fault source in the analysis. Based on this significant change, more in-depth studies are needed, particularly in low-seismicity regions with active fault movements, to enhance seismic analysis. This effort could provide better insights into source modeling for seismic hazard assessments in the region
Sustainability Indicators in The Construction of a Triple Bottom Line Kindergarten Building
Get PDFThe focus of sustainability in the construction sector has typically been on the study of environmental impacts. Considering that sustainability involves a triple bottom line and is based not only on an environmental perspective but also on providing economic and social benefits to stakeholders, the approach based mainly on ensuring the lowest environmental impact should be complemented by introducing socio-economic factors. In this work, the construction process of a nursery school has been analysed in detail and the sustainability has been evaluated using a triple dimensional approach, where environmental, economic and social indicators have been considered simultaneously. The Life Cycle Sustainability Assessment (LCSA) methodology was used to obtain indicators for greenhouse gas emissions, construction costs and working hours, and to provide a comprehensive presentation of the results. The factors that have the greatest impact in each sustainability dimension are identified. In addition, the sustainability triangle is obtained by assigning different weights to the indicators according to the particular interests of the decision-makers, representing the overall sustainability of the building creation. In this way, it is hoped that the impacts caused by residential and commercial buildings can be improved through the criteria of environmental responsibility, economic viability and social equity
An Analysis of the Use of the Filipino Language in the Technical Vocational and Livelihood Track: Towards the Development of a Proposed Language Policy Framework in Technical Education
Get PDFThis study examines the role of the Filipino language—both academic and modern—in shaping a language policy framework for Technical Vocational and Livelihood Education (TVLE) in Senior High School. Recognizing the increasing demand for linguistic accessibility in technical education, this research investigates how Filipino facilitates comprehension, communication, and instructional efficiency in specialized TVL subjects. The study involved a comprehensive dataset comprising 1,953 TVLE students from Grades 11 and 12, 48 teachers, 8 school administrators, and 8 education and TVLE experts across nine cities in Metro Manila. A mixed-methods approach was employed, utilizing observations, questionnaires, and interviews to analyze the frequency, nature, and impact of Filipino language usage in TVL instruction. Findings indicate a strong consensus on the effectiveness of the Filipino language as a medium of instruction, particularly in enhancing student engagement, knowledge retention, and skill acquisition. Observations highlighted prevalent code-switching between English and Filipino, reflecting the adaptive strategies employed by both teachers and students. Various translation techniques, including direct and literal translations, were identified as essential for bridging gaps in technical vocabulary. The results further suggest that using Filipino in TVL subjects fosters a more inclusive and contextually relevant learning environment, enabling students to grasp complex technical concepts with greater ease. Based on these findings, the study proposes the TVLE+ Language Policy, which formalizes the integration of Filipino as a primary instructional language in TVL courses while maintaining bilingual flexibility for technical terminologies and global competency. This policy aims to standardize language use in technical education, ensuring pedagogical effectiveness and linguistic inclusivity. The implications of this research extend beyond language instruction, contributing to broader discussions on curriculum development, language policy reform, and the role of native languages in vocational education
Cultivating Tomorrow\u27s Workforce: Indicators of Manpower Potential in Vocational Education
Get PDFDeveloping the potential of manpower in the education sector is an important issue for raising the quality of vocational education and preparing students for the labor market. Therefore, having trustworthy and effective indicators is crucial for assessing and enhancing student learning outcomes. This research, therefore, focuses on developing and examining the construct validity of the indicators of manpower potential outcomes in the education sector of students at vocational education institutions. The sample consists of 471 vocational college students in Thailand, obtained by a simple random method. Data were collected using a questionnaire and analyzed using confirmatory factor analysis. The results show that the indicator consists of 3 components and 16 indicators: knowledge (3 indicators), skills (5 indicators), and characteristics (8 indicators). Examination of construct validity revealed that the model was consistent with empirical data (χ² = 82.57, p = .069, df = 65, χ²/df = 1.270, GFI = .978, RMSEA = .023). All indicators are statistically significant at the .01 level and have standardized component weight values between .674 and .882
From Adoption to Continuance: Understanding Self-Efficacy’s Role in TVET Digital Learning
No full textThis study explores how lecturers\u27 self-efficacy affects their satisfaction and willingness to continue using digital technologies (DT) in Technical and Vocational Education and Training (TVET) teaching and learning (T&L). A survey was conducted with 150 lecturers from the Malaysian TVET Higher Learning Institution. It aimed to assess how self-efficacy influences both satisfaction and the continuance use of DT in TVET education. The study employed a quantitative research design, with structured questionnaires measuring self-efficacy, satisfaction, and continuance intention. Using the Structural Equation Model (SEM) analysis, the results showed that self-efficacy has a strong and significant positive impact on both satisfaction and continuance use of DT in TVET settings. Lecturers with higher self-efficacy were more satisfied with technology use, which strengthened their commitment to ongoing adoption. The findings also indicated that satisfaction partially mediated the relationship between self-efficacy and continuance intention. This indicates that while self-efficacy directly supports long-term technology use, satisfaction further enhances the continued use of DT in TVET T&L.
An Improved Extended 2-Point Super Class of Block Backward Differentiation Formula for Solving Stiff Initial Value Problems
No full textA novel, enhanced two-point block backward differentiation formula has been devised for solving stiff initial value problems of ordinary differential equations, boasting superior stability properties, including zero-stability and near A-stability. Comparative analysis reveals its exceptional accuracy and efficiency, outperforming some existing methods, thereby positioning it as a viable alternative solver for addressing stiff initial value problems
Adsorptive Removal of Crystal Violet from Aqueous Solution Using Banana Pseudo Stem Biochar: Batch Adsorption Study
No full textSynthetic dyes, such as crystal violet (CV), are extensively employed in many industries and contribute major environmental risks when released into water bodies. Agricultural waste biochar has been investigated for dye removal; however, studies on banana pseudo stem (BPS) biochar are limited. In particular, studies using BPS biochar produced at higher pyrolysis temperatures are scarce. Therefore, this study explores the adsorptive removal of BPS biochar produced through slow pyrolysis at 500°C for 1 h, a temperature selected to enhance the surface area and porosity for the removal efficiency of CV from aqueous solution. The effects of operating adsorption parameters, such as solution pH, biochar dosage, initial dye concentration, contact time and temperature, were assessed by batch adsorption experiments. The maximum CV percent removal of 96.9% with 4.85 mg/g of adsorption capacity was achieved at optimal conditions of pH 6, 0.4 g of biochar dosage, an initial CV concentration of 20 mg/L, 90 min of contact time, and at the temperature of 35°C. For the adsorption isotherm study, the experimental results were better fitted to the Langmuir model with a maximum adsorption capacity of 23.09 mg/g. Meanwhile, the kinetic study was found to be best fitted to the pseudo-second-order model. BPS biochar prepared at elevated pyrolysis temperature is a sustainable and efficient alternative to conventional adsorbents. The remarkable removal efficiency under mild conditions, combined with using agricultural waste as adsorbent feedstock, demonstrates the BPS biochar for practical use in dye-contaminated wastewater treatment.
Energy Consumption Performance for Difference Battery Model Capacity Deployed on Design Network Topologies
No full textThis research investigates energy consumption in Internet of Things (IoT) networks, focusing on how different battery capacities impact energy performance. The study is motivated by the need to optimize power usage in IoT devices, which often rely on limited battery power and can experience significant energy consumption. The study evaluates the performance of four battery types: 3.7V and 7.4V batteries with capacities of 1500mAh and 3000mAh, respectively using NetSim tools. The simulations were conducted over time periods of 1, 12, and 24 hours, and the number of active nodes varied from 1 to 5. The findings reveal that for a network with 1 active node and a 3.7V 1500mAh battery, the total energy consumption was 1.1117%, 13.3438%, and 26.6879% for the durations of 1, 12, and 24 hours, respectively. In contrast, using a 3.7V 3000mAh battery reduced consumption to 0.5553%, 6.6652%, and 13.3306%. These results provide valuable insights into battery deployment strategies for energy-efficient IoT networks, highlighting the importance of selecting appropriate battery models based on network topology and node activity