Syed Zulkarnain Syed Idrus
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Syed Zulkarnain Syed Idrus
Official Name
Syed Zulkarnain, Syed Idrus
Alternative Name
Syed Idrus, Syed Zulkarnain
Idrus, Syed Zulkarnain Syed
Idrus, S. Z.S.
Syed Idrus, S. Z.
Idrus, Syed Zulkarnain Bin Syed
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Scopus Author ID
57215416897

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  • Publication
    Correlation Impact by Random Forest towards Prediction of Phishing Website
    ( 2020-09-21)
    Mardhiah Ishak A.
    ;
    Mustapha A.
    ;
    Syed Zulkarnain Syed Idrus
    ;
    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
    Tricet Method to Increase the Hypertrophy Muscle
    ( 2020-06-17)
    Nasrulloh A.
    ;
    Prasetyo Y.
    ;
    Nugroho S.
    ;
    Yuniana R.
    ;
    Pratama K.W.
    ;
    Mustapha A.
    ;
    Syed Zulkarnain Syed Idrus
    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
    Crude Oil Price Forecasting Using Hybrid Support Vector Machine
    ( 2020-09-21)
    Jo Xian L.
    ;
    Ismail S.
    ;
    Mustapha A.
    ;
    Helmy Abd Wahab M.
    ;
    Syed Zulkarnain Syed Idrus
    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.
  • Publication
    Smart Accident Notification and Tracker (SANAT)
    ( 2020-09-21)
    Mohd Saufi N.
    ;
    Ahmad N.
    ;
    Mohd Sobri N.
    ;
    Nabilla Risal N.
    ;
    Helmy Abd Wahab M.
    ;
    Syed Zulkarnain Syed Idrus
    Road accident is a major concern in automobile powered world and road safety. Most of the accidents are not attended or treated quickly due to the lack of best emergency facilities and late information of the accident to rescue team especially in rural area. This paper aims to design Smart Accident Notification and Tracker (SANAT) by using Arduino Uno as a microcontroller with Global Positioning System (GPS) via Global System for Mobile communication (GSM) technology. This system detects an accident immediately after an impact sense by shock sensor and notified the emergency contact list as well as the rescue team with the precise location of the accident covering geographical coordinates in which a vehicle accident had occurred obtain from the GPS module after the shock sensor receive an impact from the accident. Signal from the sensor would be send to microcontroller and compares with the threshold set value and immediately sends an alert message using GSM modem to the first aid centre as a receiver. The receiver would receive the location in a link that could directly view the location and start navigate through Google Maps. This system would provide an optimum alert that could help reducing the loss of life due to vehicle accident.
  • Publication
    Simulation of Agent-Based Negative Selection Model (ABNSM) for Reservoir Water Level Monitoring
    ( 2020-06-17)
    Doi S.M.C.
    ;
    Norwawi N.M.
    ;
    Ismail R.
    ;
    Wahab M.H.A.
    ;
    Syed Zulkarnain Syed Idrus
    Reservoir water level monitoring is an important process during heavy or light rainfall to determine the volume of reserved water. Mistakes in data recording by the dam operator can lead to disasters. Data from different gauging stations are collected to determine whether to release water in the dam or not. The decision to release water is critical because it can affect the volume of water left in the dam for both drought and flood seasons. Constant water level monitoring is difficult because of the changes in water level. To overcome this issue, intelligent agent-based architecture is proposed for reservoir water level monitoring by imitating the artificial immune system. This paper presents the agent technology where agents communicate with each other concurrently by sending online data from different gauging stations to the main reservoir. One of the techniques in the artificial immune system is known as negative selection and this technique has been chosen as a water level monitoring model.
  • Publication
    Development of Body Stress Analyzer based on Physiological Signal
    ( 2020-06-17)
    Majid N.A.B.A.
    ;
    Sahar N.M.
    ;
    Sari S.
    ;
    Taujuddin N.S.A.M.
    ;
    Nurliza M.N.
    ;
    Wahab M.H.A.
    ;
    Ambar R.
    ;
    Syed Zulkarnain Syed Idrus
    Ehealth is one of the system that use modern technologies that be apply to the healthcare organization. This system allowed the patient to access the system to monitor their health records and else by using internet as a platform to communicate. Thus, this project is inspired by Ehealth system to making a hardware device with software application that act as monitoring system to the people. For the hardware, the user only need to grasped the two terminal in the device that contains of all the sensor for doing the testing procedure. Thus, all the data that be contain will be sent to the apps via internet of things for storing them. This will helps physical education and health teacher to do observation and record the data obtain from the apps.Besides, this way also will avoiding any incident to be occur towards the students if they carry on the activities in abnormal condition of their body system. The scope for this project is focusing on monitoring students body condition before they starting their outdoor activities in the field. The way for sensing the parameter including pulse sensor, LM35 and Galvanic Skin Response sensor with arduino as a microcontroller to process the input and output signal.
  • Publication
    IonFluid: Designing and Developing A Water Level Notification System
    ( 2020-06-17)
    Hafit H.
    ;
    Khazan M.M.N.
    ;
    Razi M.A.M.
    ;
    Yusof M.M.
    ;
    Wahab M.H.A.
    ;
    Syed Zulkarnain Syed Idrus
    The difficulties to access the information to retrieve the river's water level status at the area of Sungai Sembrong causes the residents nearby to insensitive and complacent towards the threat of flood hazard that can occur in just in a matter of seconds and can destroy their property and also can cause the loss of life. ionFluid is an online water level notification system for Android based application that allow users to receive water level status of a river. Users can receive water level status by using mobile device either by SMS or Push Notification technology. This system will be The methodology used to develop this Android system is Evolutionary Prototyping model. Software technology used to develop this system is Ionic Framework where this technology uses web technology to develop mobile hybrid application. Database used for this system is MariaDB while programming language used to develop this system is PHP, AngularJS, HTML and SCSS. Hereby, developed system can increase the awareness of the public to be more cautious against environmental threats especially floods disaster.
  • Publication
    Optimal method of optimizing risk of portfolio
    ( 2020-09-21)
    Jayeola D.
    ;
    Sufahani S.
    ;
    Akinmoji O.
    ;
    Helmy Abd Wahab M.
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Mamat M.
    Diversification is a strategic method that investors use to optimize risk of portfolio. It is an opportunity by which investors move from micro-firm into macro-firm. The investors' aim is to make an optimal choice that leads to minimization of risk and maximization of return, but the methods that lead to these objectives are not easily achieved. The purpose of this paper is to propose a method to minimize risk of portfolio. Firstly, this paper investigates the risk reduction strength of each asset and secondly, it explores the impact of each asset in minimizing risk of portfolio. The assets allocations divulge by Black Litterman model are used to estimate risk of both portfolios and assets. We explore DataStream (Yahoo finance) of Gold, Oil and Natural gas which spans from January, 2010 to September, 2016. It is observed that investing on Gold minimizes higher risk and achieve more benefits than other assets in the portfolio. In view of these facts, it means diversifying in gold acts as hedge/safe haven for investors during economic crisis.
  • Publication
    Binary Time-Frequency Mask for Improved Malay Speech Intelligibility at Low SNR Condition
    ( 2020-09-21)
    Jamal N.
    ;
    Fuad N.
    ;
    Sha'Bani M.
    ;
    Helmy Abd Wahab M.
    ;
    Syed Zulkarnain Syed Idrus
    A binary masking is often seen as a medium to enhance speech signal especially in hearing aid and speech recognition applications due to its simplicity and efficient approach for supervised source separation. High intelligibility could be obtained by applying the binary time-frequency masking to noisy speech signal. Since the issue of linear filtering algorithms might affect the intelligibility of noisy speech signal, so, this paper presents the binary time-frequency mask for improved Malay speech intelligibility at low SNR condition. The clean Malay speech signals that were contaminated by car and train noise with different signal to noise ratio (SNR) and local criterion (LC) level in forming the binary mask are analysed. The performance of intelligibility improvement was evaluated using a normalized sub band enveloped correlation (nSec). Overall results showed that the proposed approach produces slightly improved speech intelligibility at low SNR value.
  • Publication
    Jawi-AR Apps: Single Jawi Character Connecting Method to single words using AR Technology
    ( 2020-06-17)
    Suhaimi S.B.
    ;
    Yatim N.A.B.M.
    ;
    Wahab M.H.A.
    ;
    Syed Zulkarnain Syed Idrus
    Jawi script is very important because the Jawi script position reflects the identity of the Malays and almost equals Arabic script which indirectly enables the reading of the Qur'an among those who study Jawi script. In addition, most sources of Islamic Education knowledge are written in Jawi script. Thus, Jawi script become one of the areas taught in the subject of Islamic Education. Based on the Jawi analysis of the mid-2018 examinations for second year students, Sekolah Kebangsaan Seksyen 19, showed that 56% of 157 students lacked the skills to recognize and write connecting and non-connecting character. This finding shows that some students are ignorant and incompetent in the Jawi ways of connecting. As a result, Jawi-AR Apps which is a smartphone application that integrates Augmented Reality (AR) technology has been developed with the aim of helping to improve Jawi characters' connecting knowledge and skills in keeping with digital technology in today's society. In conclusion, this apps can help provide early exposure and interest of students to learn Jawi and provide self-learning.