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A flood is an extremely dangerous disaster that can wipe away an entire city, coastline, and rural area. The flood can cause wide destrotion to property and life that has the supreme corrosive force and can be highly damaging. In order to decrease the damages caused by the flood, an Artificial Neural Network (ANN) model has been established to predict flood in Sungai Isap, Kuantan, Pahang, Malaysia. This model is able to initiate the same brain thinking process and avoid the influence of the predict judgment. In this paper, presentation and comparison that using Bayesian Regularization (BR) back-propagation, Levenberg-Marquardt (LM) back-propagation and Gradient Descent (GD) back-propagation algorithms will be organized and carry out the result flood prediction. The predicted result of the Bayesian Regularization indicates a satisfactory performance. The conclusions also indicate that Bayesian Regularization is more versatile than Levenberg-Marquart and Gradient Descent with that can be backup or a practical tool for flood prediction. Temperature, precipitation, dew point, humidity, sea level pressure, visibility, wind, and river level data collected from January 2013 until May 2015 in the city of Sungai Isap, Kuantan is used for training, validation, and testing of the network model. The comparison is shown on the basis of mean square error (MSE) and regression (R). The prediction by training function Bayesian Regularization back-propagation found to be more suitable to predict flood model.

Pensyarah FKEE UMP Kongsi Kepakaran Dalam Pengaturcaraan dan Pembinaan Lego Mindstrom

Pekan 23 Februari - Fakulti Kejuruteraan Elektrik dan Elektronik (FKEE) Universiti Malaysia Pahang (UMP) dengan kerjasama Pejabat Pendidikan Daerah Pekan (PPD) menganjurkan Bengkel Traning of Trainers (TOT), Pekan baru-baru ini.

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Innovate 2017 - the STEM EcoSystem

UMP Pekan 14 July - As the Pahang State Level host for this year’s championship, we welcome you to the 2017 Young Innovate Malaysia Competition. YI 2017 provides a highly competitive platform for academicians, teachers, industries and most importantly the future generation - our school children.

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On 17th May 2017, 20 of the faculty staffs were involved in “Santai Sains Bersama FKEE”: a STEM outreach program at Sek. Keb. Sri Maulana in Pekan, Pahang. This is.

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Program GTEX ENHANCING GRADUATE SKILLS TOWARDS EMPLOYABILITY ini merupakan program persedian kepada pelajar universiti tahun akhir yang bakal melalui alam pekerjaan.

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