About the Periodical
The Periodical of Enhanced Knowledge in Sciences and Technology (EKST) is an open access, peer-reviewed, refereed and international articles published by the Faculty of Applied Sciences and Technology (FAST), Universiti Tun Hussein Onn Malaysia (UTHM). EKST will provide an intellectual platform to a multitude of topics ranging from the sciences to technology. It will publish twice a year (April-June and October-December).
The scope of topics will cover Mathematics, Statistics, Physic, Biology, Biodiversity, Chemistry and Food Technology.
EKST aims to publish empirical research such as survey or questionnaire, experiment, case study, observation, analytical and simulation models.
Current Issue
Mathematics
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Numerical Study of Eigenvalue Problem Using Iterative Methods
- PDF 71
- Abstract View 46
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Optimization of Fixed Deposit Rules Using the Bisection Method
- PDF 47
- Abstract View 46
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Prediction of Rice Production in Malaysia Using State Space Model
- PDF 34
- Abstract View 45
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Sales Prediction for Fashion Retailer Based on State Space Model
- PDF 38
- Abstract View 37
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Analysing Customer Waiting Time Using Queuing Models
- PDF 104
- Abstract View 121
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Solving the Linear Arms Race Model Using SAWI Transformation
- PDF 32
- Abstract View 40
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Graph Colouring Technique for Timetable Scheduling in UTHM
- PDF 76
- Abstract View 66
Statistics
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Factors Affecting Mold Growth in Homemade Bread Using Factorial Design
- PDF 64
- Abstract View 131
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Time Series Modelling of Daily Blood Donations in Malaysia
- PDF 67
- Abstract View 46
Physic
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Design and Development of Smart Irrigation System in Paddy Field
- PDF 48
- Abstract View 47
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Modelling of Tritium Breeding For Fusion Blanket Using Geant 4
- PDF 49
- Abstract View 39
Biodiversity
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Assessment on Skeleton Preservation Preparation Techniques of Rats
- PDF 77
- Abstract View 70



