Mohd Syafarudy Abu
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Preferred name
Mohd Syafarudy Abu
Official Name
Mohd Syafarudy , Abu
Alternative Name
Abu, Mohd Shafarudy
Abu, M. S.
Main Affiliation
Scopus Author ID
55536927800
Researcher ID
EKZ-0952-2022

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Problematic review on water tariff-pricing model and its relation with environment and climate change

2021-07-21 , Mohammad Fadzli Ramli , Hek T.K. , Hamzah Abdul Hamid , Mohd Syafarudy Abu

The issue of water security, environment degrade and climate change has becoming more severe today and emergence actions are needed to mitigate the problem. The variability in climate change affected the water resources thus contributes to unstable and uneconomic water price. This problem is worsened by environmental and pollution impact thus led to irrational water tariff and price. Existing model only considers econometric values, but environmental and climate change is neglected from overall structure of water tariff and price. Furthermore, the non-structured water pricing model fails to educate water consumers about excessive use and water scarcity. Therefore, water tariff and pricing mechanisms need to accommodate the changing in environmental degradation and climate change for more rationale and relevant water tariff and price.

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The SIR model of Zika virus disease outbreak in Brazil at year 2015

2017-05-19 , Lim Eng Aik , Lam Chee Kiang , Tan Wei Hong , Mohd Syafarudy Abu

This research study demonstrates a numerical model intended for comprehension the spread of the year 2015 Zika virus disease utilizing the standard SIR framework. In modeling virulent disease dynamics, it is important to explore whether the illness spread could accomplish a pandemic level or it could be eradicated. Information from the year 2015 Zika virus disease event is utilized and Brazil where the event began is considered in this research study. A three dimensional nonlinear differential equation is formulated and solved numerically utilizing the Euler's method in MS excel. It is appeared from the research study that, with health intercessions of public, the viable regenerative number can be decreased making it feasible for the event to cease to exist. It is additionally indicated numerically that the pandemic can just cease to exist when there are no new infected people in the populace.

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K-means Algorithm Based on Flower Pollination Algorithm and Calinski-Harabasz Index

2023-01-01 , Lim Eng Aik , Tan Wee Choon , Mohd Syafarudy Abu

Aiming at the problems that the Flower Pollination (FP) algorithm is easy to fall into the local optimum, the searchability is weak, and the k-means algorithm is easily affected by the selection of the initial clustering centre, a k-means algorithm based on the FP algorithm is proposed. Six benchmark functions test the improved FP algorithm. The effectiveness of the k-means algorithm based on the improved FP algorithm was tested and verified with UCI machine learning and artificial datasets. The verification results showed that the improved FP algorithm improved based on ensuring a faster convergence speed. Compared with other algorithms, the performance of this algorithm has been significantly improved in all aspects.

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