Now showing 1 - 10 of 156
  • Publication
    Correlation Impact by Random Forest towards Prediction of Phishing Website
    ( 2020-09-21)
    Mardhiah Ishak A.
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    Mustapha A.
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    ;
    Helmy Abd Wahab M.
    ;
    Mostafa S.A.
    Phishing is an online identity theft that lure unsuspecting victims into phishing website that asks for their personal information such as financial credentials or online access. The most obvious phishing attacks use spam emails to lure victims into visiting its phishing website. The less obvious attack is when a phisher spoofes legitimate sites to bring the victims to the phishing website by presenting a visually similar websites. To address this issue, this paper focuses on the effectiveness of the Random Forest algorithm in predicting a website whether a phishing or lieitimate website. The prediction model is developed using the classfication methodology and the results revealed that the prediction accuracy of Random Forest in only 66.66%. This is due to potential high correlation among the features when training the dataset since each Random Tree in the forest should protect each other from individual errors. In the future, this project is hoped to investigate features selection of the same dataset because the phishing website prediction model requires features that at least some predictive power.
  • Publication
    Line Detection and Monitoring System on Woodball Sport
    ( 2021-06-15)
    Chandrasegaran J.
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    Umoruddin N.A.
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    Mahyudin I.S.
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    ; ;
    Idris A.
    In most sports today, the decisions taken by referees are supported by the use of electronic technology. The detection and monitoring system of the woodball lines serves the same function, helping the referee to take decisions and modernise woodball sports. The modern sport of wood balls depends entirely on out decisions. The line detection technology helps inform the judge whether the ball is OB (out of Bounds), while the monitoring system notifies players, judges, and the crowd whether or not the gating is effective. But the referee's manual assistance is always necessary to start the game after a good gating, since the player cannot touch the wood ball the whole time. Finally, the percentage of precision and error was achieved.
  • Publication
    Exploring the resisting factor of ict in education among teachers: A case study in UAE
    ( 2020-04-11)
    Alnajjar S.H.A.
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    Elmetwally A.A.E.m.
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    Bakar A.A.
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    Abdullah M.S.Y.
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    Ridzwan Z.B.
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    While considerable attention is being paid to reforming education systems to prepare students for the challenges of globalization and a knowledge-based economy, teacher education models in the Asia Pacific remain insufficiently critiqued. There is an urgent need to rethink teacher education as, in spite of decades of investment and development, major problems of inequality, attrition, incomplete and inadequate learning continue to blight our education systems. It is proposed that teacher education needs to become more culturally authentic as teaching and learning are best viewed as culturally scripted activities. The utilization of indigenous knowledge will be central to this task. The article concludes with some suggestions for how the task may be started.
  • Publication
    Analysing the impact of career commitment, career aspirations and emotional intelligence on extrinsic success among the cosmetic entrepreneurs
    ( 2024-03-21)
    Sangosanya T.A.
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    ; ;
    Shah I.A.
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    Marniati M.
    ;
    Meilina R.
    The success of emergent entrepreneurial adventures are of interest to stakeholders given the important role that such businesses play in shaping the economies in most countries. While several emergent entrepreneurial businesses are threatened with failure and early exit within the first five years of the business, the literature have attributed and continuesly agued numerous factors responsible for the failure. In this study we argued that to ensure entrepreneurial success there is need for persistent commitment to the career, strong aspirations to desired goals and emotional intelligence. Thus the study examines the effect of these factors namely career commitment, aspirations and emotional intelligence on extrinsic career success taking the context of the cosmetics industries in Malaysia. The quantitative in-depth interview research technique was used to retrieve primary data through questionnaires. An estimated sample of 341 cosmetics entrepreneurs in Malaysia were selected as respondents of this research using simple random sampling method. The analysis was based on the multiple linear regression technique using the SPSS software. The results indicated that career commitment among cosmetic entrpreneurs positively relates to extrinsic entrepreneurial success (β= 0.258, t=2.937, p<0.004). The relationship between career aspiration and extrinsic entrepreneurial success is predicted as positive and significant (β= 0.121, t= 1.319, p<0.019). Finally, based on the result (β=0.162, t=1.738, p<0.085), there is also a positive and significant relationship between Emotional intelligence and extrinsic entrepreneurial success. Some implications of this research are discussed based on the study findings at the end of this study.
  • Publication
    Tricet Method to Increase the Hypertrophy Muscle
    ( 2020-06-17)
    Nasrulloh A.
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    Prasetyo Y.
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    Nugroho S.
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    Yuniana R.
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    Pratama K.W.
    ;
    Mustapha A.
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    Tricet method of weight training is an exercise that involves using three types of tools to train one group muscle in the sequence order, but with different types of exercises for each set and without breaks between sets. Exercise with this method is able to provide maximum response to a group of muscles that are trained so that the potential for muscle development is more optimal. This paper investigates this method by giving a treatment in the form of weight training with the tricet method to be carried out 3 times a week, with exercise intensity of 70% to 80% or One Maximum Repetition (1RM), 3 sets, and 8-12 repetitions with the aim of increasing muscle hypertrophy. The results of the pre and post-Test hypertrophy t-Test analysis of arm, chest, thigh, and calf muscles in the experimental group showed a significant difference (p < 0.05). This investigation concluded that weight training based on the tricet method is able to increase hypertrophy over body large muscle.
  • Publication
    The Development of an Interactive Animation to Prevent Social Media Fraud
    Technology is the creation, invention, methods or systems of something new that has the purpose to overcome human's limitation, so that the creation can help human to complete the task that they cannot do. However, the world is getting advanced day-by-day, and so do the online frauds, where it is getting more types due to the ease of these technologies. People would use these advanced technologies to scam others, especially through social media. Thus, the number of online scam seems to be rising, and it is an appropriate action that someone does to bring benefits only for themselves. This paper is about the development of an interactive animation to increase the awareness of social media frauds among people and ways to prevent it. Subsequently, we created an animation that can raise the awareness of social media fraud among people, and hence they can also learn effective ways to prevent social media fraud from happening.
  • Publication
    Simulation Study of Metamaterial Effect towards Ultra Wide Band Antenna
    In this paper, the design of a metamaterial ultra-wideband (UWB) antenna with a goal towards application in microwave imaging systems for detecting unwanted cells in human tissue, such as in cases of breast cancer, heart failure and brain stroke detection is proposed. The metamaterial unit cell is constructed using circular split ring resonator (CSRR) technique and wire, to attain a design layout that simultaneously exhibits both a negative magnetic permeability and a negative electrical permittivity and attached as superstrate in front of the UWB antenna. This design results in an astonishing negative refractive index that enables amplification of the radiated power of this reported antenna, and therefore, high antenna performance. A Rogers (RT5880) substrate material is used to design and print this reported antenna, and has the following characteristics: thickness of 0.51 mm, relative permeability of one, relative permittivity of 2.70 and loss tangent of 0.02. The metamaterial antenna is design to be operated at frequency between 300MHz to 30GHz which is suitable for biomedical application such as Microwave Imaging. The overall metamaterial antenna size is 90 mm 50 mm 0.51 mm. The design and simulation has been carried out using Computer Simulation Technology Microwave Studio (CST MWS).
  • Publication
    Developing a Conceptual Framework Suitable for E-Health in War-Torn Zones: The Case of Libya Conflict Regions
    ( 2020-06-17)
    Yosser I.M.
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    ;
    Ali A.A.E.
    The myriads of healthcare challenges are no doubt more complex among nations under the siege of war and conflicts, such as the case of Libya. The healthcare systems are mostly overburdened due to escalated cases of injury, poor hygiene and limited number of medical expertise. Libya prior to the civil uprising had depended on foreign medical expertise, and as a result of the uprising these experts were forced to relocate. Series of civil conflict and random attacks has further weakened the health care system in Libya, which is basically the traditional or conventional system. This conventional system of health record management, diagnosis and prescription can easily be damaged or loss in the phase of conflict. Application of ICT in the health sector known as e-health has proffered solutions to most of these challenges through electronic health record management, diagnosis, booking appointments and medical prescriptions. Hence health records can be accessed online and easily on request. While developed countries have since adopted and implemented the e-health system, it is still a relatively new phenomenon in most developing countries like Libya. It is pertinent to know that adoption and successful implementation of e-health requires a thorough assessment of readiness level in terms of the different components and factors affecting e-health system. The study aims to apply knowledge from e-health readiness assessment to the design of a suitable e-health framework for implementing e-health services for the case of conflict zones such as Libya.
  • Publication
    A Review of Human Graphology Analysis and Brainwaves
    ( 2020-09-21)
    Akila N.F.
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    M Nasir E.M.N.E.
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    Fuad N.
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    Helmy Abd Wahab M.
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    This paper will do a study about brain, electroencephalograph (EEG) and also brainwriting. There are four types of frequency bands produces by human brain like delta, alpha, beta and theta. Every bands have their own spectrum of frequency where it be used for analysing brain activities. Electroencephalogram (EEG) is a method to measure signal by studying and evaluating the pattern of the brainwaves. The neuron will transfer the signals in the brain and the populations of neurons form pattern of network that form a brainwaves detectable in EEG. While graphology analysis is about the handwriting pattern that will illustrate the personality traits of the person. Everything that is written by the hand is processed from brain where is can give certain frequency bands or waveform for the personality.
  • Publication
    Crude Oil Price Forecasting Using Hybrid Support Vector Machine
    ( 2020-09-21)
    Jo Xian L.
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    Ismail S.
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    Mustapha A.
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    Helmy Abd Wahab M.
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    Crude oil price is strongly impacting the world economy. However, it is very fluctuated and difficult for investor to make decision. Hence, forecasting is one of the ways to minimizing risks arise from indecision on future. This paper will apply Support Vector Machine (SVM) and Artificial Neural Network (ANN) and a proposed hybrid model name Empirical mode decomposition-Support Vector Machine (EMD-SVM) forecasting crude oil price. After obtaining the forecasting result, performance evaluation is carry out to show which method can better forecast the crude oil price. The result shows that the performance of cruel oil price forecasting can be significantly increased by using the proposed hybrid EMD-SVM model. Thus proven the hybrid model are out-perform than individual forecasting model.