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UMPSA teroka kerjasama dengan Jonetsu Company Inc. Jepun bagi ekosistem inklusif
Full text linkPEKAN, 29 Mei 2025- Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) teroka kerjasama dengan Jonetsu Company Inc. dalam berkongsi kepakaran dan amalan terbaik bagi mewujudkan ekosistem inklusif yang lestari melalui jalinan kerjasama antarabangsa ke arah memberdayakan komuniti Orang Kurang Upaya (OKU) dengan teknologi, inovasi, dan pendidikan.
Syarikat Jonetsu Company Inc. merupakan sebuah syarikat yang mempunyai lebih 50 peratus pekerja dalam kalangan orang kelainan upaya (OKU) yang mengusahakan ladang pertanian meliputi padi, sayur- sayuran dan buah-buahan di Tokusihima, Jepun
UMPSA sebagai Pusat Verifikasi Kualiti (QVC) perluas penawaran Stand-Alone Micro-credentials
Full text linkCYBERJAYA, 30 Mei 2025 - Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) terus memperluas akses pendidikan tinggi negara apabila diberi tanggungjawab dan berperanan sebagai Pusat Verifikasi Kualiti (QVC) dalam menjalankan penilaian verifikasi kualiti Stand-alone Micro-credentials (SAMC) bagi tahap Sijil (T-3) hingga ljazah Kedoktoran (T-8) tertakluk kepada syarat-syarat yang ditetapkan.
Serahan surat kelulusan disampaikan Ketua Pegawai Eksekutif Agensi Kelayakan Malaysia (MQA), Dato’ Profesor Dr. Mohammad Shatar Sabran kepada Naib Canselor UMPSA, Profesor Dr. Yatimah Alias hari ini
Larian Amal UMPSA 2025: Zombie Quest Challenge berjaya kumpul RM91,390 untuk Tabung Kebajikan Pelajar
Full text linkPEKAN, 31 Mei 2025 – Larian Amal Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) 2025: Zombie Quest Challenge yang berlangsung di Dataran Pusat Aktiviti Pelajar berjaya mengumpul sebanyak RM91,390 yang akan disalurkan sepenuhnya kepada Tabung Kebajikan Pelajar bagi membantu pelajar dalam keperluan harian, sokongan akademik dan pembangunan sahsiah.
Lebih 500 peserta memeriahkan larian tersebut dalam suasana yang penuh semangat dan kepedulian
Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer
Full text linkThis paper addresses the critical challenge of energy efficiency in commercial buildings, where chillers typically consume 40–50% of total building energy. Accurate forecasting of chiller power consumption is essential for optimizing building energy management systems and reducing operational costs. Despite advances in deep learning, existing forecasting models often struggle with the complex temporal dependencies and non-linear patterns in chiller operation data. This paper presents an innovative approach using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model optimized by the Barnacles Mating Optimizer (BMO). The study compares the proposed CNN-LSTM-BMO against other metaheuristic optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Differential Evolution (DE). The models were evaluated using comprehensive performance metrics and validated through statistical analysis. Results demonstrate that the CNN-LSTM-BMO achieves superior performance with the lowest Root Mean Square Error (RMSE) of 0.5523 and highest R² value of 0.9435, showing statistically significant improvements over other optimization methods as confirmed by paired t-tests (P < 0.05). Key observations include: (1) the CNN-LSTM-BMO model converges 27% faster than traditional optimization methods; (2) SHapley Additive exPlanations (SHAP) analysis reveals that temperature-related features, particularly saturation temperature, are the most influential predictors across all models; and (3) the proposed model maintains prediction accuracy even under varying operational conditions. The proposed CNN-LSTM-BMO model demonstrates robust convergence characteristics and superior generalization capability, making it particularly suitable for real-world applications in building energy management systems. This research contributes to the advancement of accurate and efficient chiller power consumption forecasting methodologies, offering practical implications for Heating, Ventilation, and Air Conditioning (HVAC) system optimization and energy efficiency improvements in commercial buildings
FDM printed PLA/Coconut wood composite: compression characteristics and parametric optimization
Full text linkFused Deposition Modelling (FDM) is a cost-effective technique within the realm of Additive Manufacturing (AM) that enables the fabrication of three-dimensional objects using thermoplastic and composite materials. FDM can generate complex parts with precise dimensions, which has helped the manufacturing industry. The biomedical industry uses wood particles; however, pure wood's mechanical properties are unknown. Coconut wood is biodegradable, heatandcorrosion-resistant. The present study analyses the physical characteristics shown by Polylactic acid (PLA) and a tailored PLA/Ct.W composite. The compression properties of PLA and PLA/Ct.W specimens were investigated in accordance with ASTM standards (ASTM D695). Testing specimens were constructed using the FDM technique on PLA and PLA/Ct. W composite with different infill percentages (75%, 50%and25%) and patterns (honeycomb, grid, concentric, rectilinearandoctagram spiral). After that, the RSM is utilized to discover the parameter that has the largest effect on mechanical properties. Experimental results show that grid infill patterns with 75% infill percentages have the best compression properties. The weakest infill pattern is the octagram spiral. The RSM was employed to generate regression equations to optimize the properties of the PLA/Ct.W composite. It is suggested that the utilization of bonding agents can effectively augment the bonding between PLA and Coconut wood materials. Additionally, reducing the particle size of the coconut wood can further improve the overall quality of the product
UMPSA establishes China-Malaysia Regional Vocational Skills Centre to offer Mandarin language courses with vocational skills
Full text linkKUALA LUMPUR, 4 June 2025 – Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) has established the China–Malaysia Chinese Plus Vocational Skills Regional Development Center (Malaysia), a regional centre for vocational skills development through a formal collaboration between UMPSA, the Center for Language Education and Cooperation (CLEC), and Hebei University.
The China–Malaysia Regional Vocational Skills Centre established at UMPSA is the second of its kind in the world, following the one in Africa.
Through the Confucius Institute, the centre will offer and explore Mandarin language courses integrated with vocational skills relevant to Malaysia and Asia
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Bergeraklah waktu menyulam cita,
Di tanah ilmu bernama UMPSA,
Warga bersatu menjujung setia.
Gemerlapan hari berbalut makna,
Kualiti dan inovasi dirai bersama,
Usaha ditabur tiada berkira,
Setitis keringat jadi pusaka.
Wahai insan berjiwa wibawa,
Langkahmu kemas, nikmatmu mulia,
Ilmu dikendong, amanah dijaga,
Jasamu terpahat dalam tinta bangsa
Fabrication and testing of epoxy resin-based composites for electrical insulation material applications
Full text linkElectrical insulation materials are a critical component in the design and development of electrical systems, playing a crucial role in ensuring the safe and efficient transmission and distribution of electrical power. The aim of this study is to examine the effect of incorporating rice husk ash and silane on the hydrophobicity, leakage current, and tensile strength properties of composite specimens. This study focused on fabricating composites by varying filler concentrations, using epoxy resin as the matrix. The specimens RTV 10, RTV 20, RTV 30, RTV 40, and RTV 50 utilized a filler composed of rice husk ash and silane, with concentrations of 10%, 20%, 30%, 40%, and 50%, respectively. The obtained samples were subjected to testing for leakage current, tensile strength, and water contact angle (hydrophobicity). The study results indicate that increasing the filler content to 40 wt.% in RTV 40 specimens improves the composite’s tracking time, and hydrophobic properties. RTV 40 specimens demonstrated the longest tracking time and the most favourable hydrophobic characteristics compared to the other specimens. However, when the filler content exceeds 40 wt.%, the water contact angle decreases, leading to higher leakage currents and diminished insulating effectiveness. For the RTV 40 specimen, the measured values were a water contact angle of 92°, a tracking time of 1956 seconds, and a tensile strength of 39.59 N/mm². This study addresses several points of the Sustainable Development Goals (SDGs) by improving material properties (SDG 9), promoting sustainable materials (SDG 12) and improving energy-efficient infrastructure (SDG 7)
Analysing the Optimum number of cupping points for selected diseases by utilising graph colouring
Full text linkAn innovative methodology is proposed in optimizing the cupping points related to stroke, insomnia and back pain diseases through the utilization of a graph colouring method. Personalized treatment strategies and patient management heavily rely on the optimization of cupping points. By leveraging the powerful tools of graph theory and by the application of colouring approach, this study aimed to provide valuable insights into enhancing the optimum number of cupping points for selected diseases. According to the graphical model utilized in this study, this technique also saves time and money because it's imperative to acknowledge that the appliances of two vertices as the most effective nerve point for initial treatment is sufficient and highly efficient. This method is significant from previous methods that required the use of 10 nerve vertices for back pain, 14 for insomnia, and 14 for stroke treatment, thus could have a profound impact on patients' wellbeing, as well as various fields and industries
MQA iktiraf empat IPT sebagai Pusat Verifikasi Kualiti SAMC
Full text linkKUALA LUMPUR: Empat institusi pendidikan tinggi (IPT) menerima surat kelulusan sementara sebagai Pusat Verifikasi Kualiti (QVC) bagi kursus Stand-Alone Micro-Credentials (SAMC), dalam usaha memperluas akses serta fleksibiliti pendidikan tinggi negara.
Ketua Pegawai Eksekutif Agensi Kelayakan Malaysia (MQA), Prof Datuk Dr Mohammad Shatar Sabran, berkata pengiktirafan itu adalah strategi penting memperkasa pelaksanaan kursus micro-credentials yang selari dengan piawaian Kerangka Kelayakan Malaysia (MQF)