Journals of Universiti Tun Hussein Onn Malaysia (UTHM)
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e-Government Towards Organizational Performance of Malaysia Local Authority: Mediating Effect Information Technology (IT) Capability
Full text linkThis study proposes electronic government (e-Government) conceptual model to determine the effect of e-Government toward local government performance while investigating the mediating roles of organizational IT capability. By examining the gaps from the prior research, this study intends to answer question about the association among electronic Government, organizational IT capability and organizational performance. The theory of Resources Based View (RBV) is used as a guiding theory to support the proposed conceptual framework. The model was tested using valid and reliable data gathered from a sample of 87 survey forms out of 149 survey forms was passed out to Local Authority in Malaysia. This study uses partial least squares structural equation modelling (PLS-SEM) to test and validate the research model and proposed hypotheses. Finding indicates that the organizational performance is not significantly influenced by e-Government. More importantly, the analysis revealed that IT capability plays a mediating role between variable e-Government and outcome variable organisation performance. It is anticipated that the results of this study will expand the body of knowledge in government studies
Influences on Motivation and Learning Outcomes in Home Economics: A Pathway to Enhanced TVET Competency Development
Full text linkTechnical-Vocational Education and Training (TVET) skills are embedded in the basic education curriculum, progressing spirally from basic competencies in elementary and common competencies in Junior High School (JHS) to a more specialized skills in Senior High School (SHS) and beyond. Early competency formation, particularly in Home Economics (HE) is crucial for preparing learners for advanced Technical-Vocational and Livelihood (TVL) specializations, national certification, and career development. As students move through this continuum, motivation becomes a key driver of how foundational skills are acquired and applied. Yet limited empirical research examines how motivation translates into real-life skill use and how this relationship varies across socio-demographic contexts which are essential for designing responsive and contextualized learning strategies. This study investigated the relationship between students’ motivation to learn HE and two outcome indicators: frequency of application (FOA) and self-reported competence (SRC) within the family setting. It also examined the moderating influence of students’ socio-demographic backgrounds. A validated quantitative survey was administered to 200 JHS students. Linear regression tested the associations, while moderation analyses identified contextual variations. Results showed that motivation significantly predicted HE outcomes, with family structure, birth order, family income, and TLE grades moderating the motivation–outcome link, whereas religion, gender, and parents’ occupation did not. These findings offer practical insights for strengthening HE curriculum in JHS by recognizing how motivation and learner contexts shape early competency formation which enhance students’ readiness for SHS TVL coursework and supports smoother progression into higher-level TVET programs and future technical-vocational pathways
Synthesis and characterization of a H-bonded charge-transfer complex formed between 1,10-phenanthroline monohydrate with some π-acceptors in different solvents
Full text linkThe charge-transfer complexes of the 1,10-phenanthroline monohydrate with m-dinitrobenzene, p-hydroxybenzoic acid, 3,5-dinitrosalicylic acid, and 3,5-dinitrobenzoic acid have been prepared and characterised by using different techniques like the 1H NMR, TGA-DTA, XRD, and FT-IR Fluorescence and Conductivity data indicate a charge-transfer interaction and as far as complexes are concerned, this interaction is associated with a H bonding and the transfer of H+ from the acceptor to the donor molecules. The FT-IR and 1H NMR spectroscopic data also indicated a charge-transfer interaction associated with a proton migration from the acceptor to the donor followed by intermolecular H bonding
Spatial Rainfall Interpolation and Evaluation for Seasonal Precipitation in Peninsular Malaysia
Full text linkRainfall, a major driving force in hydrology and water resources planning, poses challenges due to potential malfunctions in conventional rain gauges, necessitating effective methods for filling the data gap. This study focuses on assessing the efficacy of two spatial rainfall interpolation techniques, i.e., Local Polynomial Interpolation (LPI) and Inverse Distance Weighting (IDW) for seasonal rainfall estimation in Peninsular Malaysia. Interpolated values from both methods are compared to ground observations, and their performance is evaluated through cross-validation using statistical measures such as RMSE, MAE, and R2. Additionally, Geographically Weighted Regression (GWR) is employed to analyze the relationship between interpolated rainfall and ground elevation. The findings reveal that LPI outperforms IDW, demonstrating higher R2 values and lower MAE and RMSE, highlighting its superior accuracy in rainfall estimation and underscoring the importance of method selection in handling missing rainfall data
Sediment Deposition Analysis using InfoWorks ICM for Segamat River, Muar River Basin
Full text linkVarious environment-related issues within a river system associated with urbanization will lead to urban channel and river bank erosion and sedimentation problems such as floods, water quality degradation and disruption to the ecosystem. Apart from the development, river dredging activities and sand mining will also cause instability problems to the river morphology. In view of its negative impacts to the river system, an assessment on the river morphology for Segamat River, Johor has been conducted. The study aimed to examine the processes of erosion and deposition of river morphology and propose strategic measures to minimize the effects of erosion and sedimentation along the river. Sediment transport modelling has been carried out for 10-, 50-, 100- and 1000-year Average Recurrence Interval (ARI) storm events based on the runoff hydrograph using InfoWorks Integrated Catchment Modelling (ICM) coupled with a sediment-transport module. The Ackers-White sediment transport equation was selected in the model due to its applicability across a wide range of particle sizes and flow conditions, offering reliable predictions for the study reach. The simulation results highlight the large variability in channel morphology along river reach, where the sediment transport model predicts more sediment deposition at the middle reach of Segamat River. The findings underpin an Erosion and Sedimentation Control Plan (ESCP) that spatially targets dredging moratoria, buffer-zone restoration, and adaptive sand-extraction scheduling to restore morphodynamic equilibrium and reduce flood risk.
Defining Action Plans to Reduce Defects in a Paper Production Line Using Statistical Process Control and Fuzzy Analytical Hierarchy Procedure
Full text linkDefect prevention in products is essential to improve production efficiency and improve product quality in accordance with consumer expectations. Action plants to prevent defects in a paper factory were tried to be found in this research. The action plan was obtained using Statistical Process Control to control production to comply with specific limits, and Fuzzy Analytical Hierarchy Procedure used to find the priority of the problem. The data collected showed that the primary defects were in the form of wrapping alignment and folding sheets. Analysis showed that wrapper properties and the length of time the wrapper roll on the floor caused the problems. To overcome the causes of the problems, three action plans need to be taken: training, creating SOPs, and creating maintenance checklists
Inventory Management Policies for Maintenance Spare Parts: Integration of Analytic Hierarchy Process and Multicriteria ABC Classification in the Plastics Industry
Full text linkThis study establishes supply management policies for maintenance spare parts in a plastics transformation company, using a methodology applicable to any industry managing spare parts inventories. It addresses the challenges of excessive inventory levels and the lack of objective rules for defining stock quantities and parameters by applying a multicriteria approach based on AHP and ABC classification, incorporating expert judgment through the Delphi method. The classification assigned the highest weight to criticality (0.683), followed by supply (0.2) and maintenance (0.117), ensuring a balanced evaluation. Demand analysis revealed that 69% of spare parts exhibit erratic demand, 39% have no recorded demand, and only 145 out of 3,842 items show stable demand, allowing the application of double exponential smoothing forecasting techniques. Based on these findings, a periodic inventory review system was implemented with demand-adjusted policies: (R, S) with safety stock (IS) for class A and B items with stable demand and adjusted IS levels or stock elimination for erratic demand items when justified. This strategy led to a 30% reduction in excess stock and a 15% increase in spare parts availability, optimizing costs and operational efficiency. Additionally, the study highlights the importance of establishing shared indicators between logistics and maintenance, maintaining accurate demand records, and centralizing spare parts storage to enhance decision-making and minimize downtime. These findings contribute to improving inventory management and reducing operational disruptions in industrial environments
Application of a Mathematical Model in Creating a Hard Alloy Tool That Combines Strength and Plasticity
Full text linkThe article discusses the use of a mathematical model in creating a hard alloy tool that combines strength and plasticity, the development of a multi-component alloy composition using methods of planning experiments and processing test results in materials science, the preparation of a multi-component metalloceramic material from local raw materials, and their physical and mechanical properties and their role in materials science. The results of research on the use of a mathematical model in creating a hard alloy tool that combines strength and plasticity are presented. Using the steep ascent method to optimize the composition, a powder composition was determined that provided a level of stability and served as the basis for further research. An alloy with a polydisperse composition is able to embody the required properties. It is assumed that large grains of the phase provide plasticity, and small grains provide high wear resistance of the alloy
Application of Support Vector Machine and Gaussian Process Regression for Carbon Emission Prediction in Building Construction
Full text linkIn light of the heightened awareness of climate change, the construction industry is under significant pressure to reduce its carbon footprint. This study aims to apply two advanced intelligent methods, Support Vector Machine (SVM) and Gaussian Process Regression (GPR), to predict carbon emissions during the building construction stage. The models are trained and tested using four input parameters: quantity of construction machinery, fuel consumption rate, carbon emission factor per unit of fuel or electricity consumed, and operating hours of the machinery. The performance of the models is compared to determine the most accurate and reliable predictor. The results demonstrate that the GPR model consistently outperforms the SVM model in terms of accuracy and consistency. The proposed GPR model is poised to be a valuable tool for policymakers and organizations in making informed decisions to mitigate carbon emissions
Enhancing Security Using ECDSA-Based Hardware Security Module with DS28E38 Secure Data Authentication IC
Full text linkThe increasing integration of technology across diverse sectors such as manufacturing, logistics, healthcare, and smart infrastructure has enhanced operational efficiency and introduced significant cybersecurity vulnerabilities due to open networks and automatic technology. This research addresses these risks by developing a verification system using the integrated circuit (IC) security DS28E38, which employs Elliptic Curve Cryptography (ECC) to keep data integrity. The key innovation lies in combining physically unclonable function (PUF)-based authentication with the Elliptic Curve Digital Signature Algorithm (ECDSA), providing a resilient mechanism for device identity verification and protection against cyber threats. The research also includes a comprehensive performance evaluation, considering metrics such as time efficiency, memory utilization, power consumption, and resilience against simulated cyberattacks, demonstrating that the proposed system significantly enhances cybersecurity while preserving operational performance