bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of constructionist robotics to facilitate learning in C programming course
Authors: Miskon MT , Hilmi FD , Khusairi WA , Rustam I
Published: June 2020

Learning to program at a stationary computer for any programming course can be boring and demotivated especially when dealing with complex syntax details. A more hands-on approach utilizing robotic module will lead to a better task-oriented interaction between students and their real-life surroundings hoping to increase student engagement with programming. Thus, this paper proposed a constructionist robotic module to facilitate learning in C programming curriculum utilizing a microcontroller board known as FRDM-KL05Z. The module consists of several input and output components that can be utilized to establish human-machine interaction depending on the instruction code written by the students. A pilot survey was also carried out to assess overall impression of the student towards the proposed approach in teaching and learning activities. Results indicated that students were satisfied with the approach as it help to improve their understanding in C Programming.
The evolution of information dissemination, communication media and technology in Malaysia
Authors: Rosmani Arifah Fasha , Mutalib Ariffin Abdul , Sarif Siti Mahfuzah
Published: June 2020

Information plays an integral part of human life. With the availability of data and information, people could learn and comprehend about beneficial substances in life. Knowledge and dissemination of information have flourished today as the development of technology has intensified how dissemination of information from traditional to modern means. With this increasingly evolving mass media, it has also inadvertently affected the distribution of information, expansively and flexible. From this study, we can observe the evolution of the dissemination of information that began with printed materials to digital materials. Massive user growth has been evident from the method of reading printed materials, to the use of radio, television, Internet and mobile phone. The degree of tendency of using these methods is also comparable in terms of reliability of the information gained and accessibility of the audience through the media. The interdependent use of the Internet and mobile phones has outperformed other media, especially in terms of information search, knowledge trustworthiness and audience accessibility.
The 128-bit AES design by using FPGA
Authors: Hamzah Hidayarni , Ahmad Nabihah , Ruslan Siti Hawa
Published: June 2020

Advanced Encryption Standard (AES) is a common symmetric encryption algorithm and widely implemented in Wireless Local Area Network (WLAN) and Bluetooth controller for security services in its application. This paper presents a 128-bit data path with 128-bit, 192-bit or 256-bit key size. The purpose of the design is high throughput and low area design of AES. The AES methodology is by using Field-Programmable Gate Array (FPGA) and Xilinx Virtex-7 XC7VX485T as a tool to obtain simulation results through Verilog Hardware Description Language (HDL). This design utilized a 2730 Slices with the throughput of 12.9 Gbps. The design is suitable for the portable device application which requires data security with a high throughput and speed.
Information System Based Excellent Higher Education Model
Authors: Sanusi Anuar , Irianto Suhendro Y. , Herlina  , Aziz R.Z.Abdul
Published: June 2020

The problem of this study was to find the tool to measure Higher Education. There is no standard of measurement tools for excellent Higher Education. The status of an excellent Higher Education has not been an effective promotion for Higher Educations. Besides, it has not the indicators whether the excellent Higher Education or poor Higher Education. It is reflected by the cluster excellent Higher Education, fair Higher Education and poor Higher Education based on information systems. The purpose of this research was to build a model of Measurement Information System for Higher Education. Creating the status of an excellent Higher Education becomes a reference for investors in education; it guarantees sustainable service (sustainability). This research method was to explore several universities in Indonesia. This research technique selected 6 islands and 24 private Higher Education. The considerations were the best private universities in Indonesia. The method of this study designed an excellent Higher Education development model by compiling an institution business process model. It was realized by an academically. Furthermore, it was integrated by quality assurance system; validating instruments to several similar universities that had implemented a quality assurance system and the existence of a quality control group. The results of the research were the SI-PETIS model, and Implement the excellent Higher Education on Information System (SI-PETIS); issued the copyrights from the results of research and formulate the policy in a relevant environment, namely healthy Higher Educations. Moreover, this study built the SI-PETIS model.
Bio-acoustic signal identification based on sparse representation classifier
Authors: Ramli D A , Wan Z X , Ibrahim H
Published: June 2020

Most animals produce sounds as a way of communication within their species or as noises resulting from feeding or travelling. An automated recognition of bio-acoustic signals becomes vital in the aspect of ecological research and environmental monitoring. With the improvement of technology, scientists today are interested in classifying types and species of animals by their vocalizations without visualizing them with the naked eye. Hence, species identification system based on animal vocalizations becomes an important topic to be researched nowadays. This project aims to develop a frog species voice identification system, recognizing different frog species through analyzing their calls. In this project, Sparse Representation Classifier (SRC) and Kernel Sparse Representation Classifier (KSRC) are employed for the identification task. Performances between SRC and KSRC are compared and discussed in this project. Besides, a graphical user interface (GUI) is also developed to facilitate the user while interacting with the system. Two experiments were done in this project so as to evaluate the effect of numbers of training data and feature dimensions to the classifiers. In short, KSRC (96.6667%) has a higher performance in accuracy compared to SRC (95.6667%). However, KSRC takes a longer computation time compared to SRC. A GUI namely Frog Species Identifier that has been developed by implementing KSRC with 20 training data and 4096 feature dimensions is the final outcome of this project.
The evaluation of compensation techniques in i-vector modelling for sound-based biometric recognition system
Authors: Ibrahim N S , Ramli D A
Published: June 2020

i-vector subspace modelling is one of the recent methods that has become attractive to sound-based biometric recognition domain. This method provides a benefit of modelling both intra-domain and inter-domain variability into one low dimensional space. This paper focuses on the analysis of i-vector channel compensation techniques for the purpose of improving the i-vector sound-based biometric recognition performance. This work was mainly motivated by the need to quantify the impact of different compensation techniques to the i-vector performance specifically towards the fusion compensation approach. The performances of six channel compensation techniques: (a) whitening, (b) Within Class Covariance Normalization (WCCN), (c) Linear Discriminant Analysis (LDA), (d) whitening and WCCN, (e) whitening and LDA and (f) WCCN and LDA have been investigated in this study. 2656 syllables of bio-acoustic sounds are used as experimental data and parameters of the system are initially tuned with different GMM component sizes i.e. 16, 32, 64 and 128 number of Gaussians. To the end, we assess the effect of the tuned parameter and observe the recognition rate. Experimental results reveal that the accuracy of i-vector with the fusion of WCCN and LDA compensation outperforms other compensation approaches with result of 92.00%. Consequently, these findings allow a better understanding of the compensation approaches, in particular, the fundamental concept of the compensation procedure that leads to the success of the i-vector paradigm.
Estimation of Nitrogen Concentration of Paddy Leaf Using Aerial Image Captured By Drone
Authors: Saifizi M. , Cuthawat  , Mustafa Wan Azani , Idrus Syed Zulkarnain Syed , Jamlos Mohd Aminudin
Published: June 2020

Paddy crops are one of the major sources of income in the country as rice is the main food of the population. Rice is a basic necessity and it’s very high demand among consumers in the country causes farmers to use fertilizer to produce enough rice. The use of fertilizers will bring benefits to farmers but if the quantities of fertilizer are not controlled then it can cause losses. Typically, fertilizers contain nitrogen which is the source of environmental pollution if nitrogen levels are too high. The rate of use of fertilizer or nitrogen plays an important role in the process of growing paddy trees. The concentration of nitrogen levels can be determined through the colour of the leaf of the paddy tree such as yellowish green, light green and dark green. The colour indicates the concentration of nitrogen contained in the rice plant. The yellowish green colour indicates that the rice trees do not get enough fertilizer and the growth of stunted rice trees. While the dark green colour indicates high nitrogen levels, the mature process of rice trees becomes slow. The light green leafy paddy is a healthy tree and the nitrogen content contained in paddy is perfect. Traditionally, farmers identify nitrogen concentrations manually by surveying the rough eyes. However, this method requires a lot of workforces, time and not consistency. In addition, that method is impossible to get accurate results and there is an error in the survey process because different people will have a different opinion specific task. The purpose of this project is to provide an image processing system to estimate the concentration of nitrogen in paddy trees through leaf colour. Concentration is estimated by using image processing techniques, automated detection and extraction system besides data collection aims to help farmers in the future.
Estimation of Paddy Plant Population Using Aerial Image Captured by Drone
Authors: Saifizi M. , Syauqi M.A , Vinnoth R. , Mustafa Wan Azani , Idrus Syed Zulkarnain Syed , Jamlos Mohd Aminudin
Published: June 2020

Monitoring of rice plants population density is important for crop setting and fertilizer management to achieve high target yield. Currently, the population density is determined by manually counting the tiller number of total rice plants in a 25 cm x 25 cm square frame. Generally, several random sampling locations of a paddy plot are selected to perform tiller counting. This is time-consuming, labour intensive and costly. An automatic counting tiller number method using digital image processing technique is introduced to overcome the problem. Monitoring paddy population can be done by using Unmanned Aerial Vehicle (UAV) or Drones. The use of drones can take a wider picture, save time and be more efficient. For this research, the DJI Mavic Pro Drone is used to scout the areas. The drone has captured the image from the air and sending to the computer via wireless. The image is processed in different technique such as filtering, enhancement, segmentation and thresholding. As a result, the image processing technique is practical, feasible and effective in estimating tiller number for monitoring of rice plant population density.
Soft Biometrics and Its Implementation in Keystroke Dynamics
Authors: Yaacob Mohd Noorulfakhri , Idrus Syed Zulkarnain Syed , Ali Wan Nor Ashiqin Wan , Mustafa Wan Azani , Jamlos Mohd Aminudin , Wahab Mohd Helmy Abd
Published: June 2020

Biometrics is a unique art that exists within a person and allows it to be used to differentiate between one another. These biometrics can be divided into two categories namely behaviour and physical such as face, fingerprint, hand, voice and gait. There are previous studies which examine the personal’s characteristic or personality as gender, age, cultural, weight, height, colour of hair etc. This personal’s characteristic or personality also known as soft biometric. Several previous studies have shown that the use of soft biometric element (one or combination of elements) in the process of identifying individuals can improve the performance of individual recognition. This paper will elaborate and concludes past studies related to the use of soft biometric elements in KD. Several soft biometric elements applied in various methods of recognition on previous studies have been listed and the results of the studies are compared.
Hybrid Animation: Implementation of Two-Dimensional (2D) Animation
Authors: Asraf Syed Muhammad Hazry , Idrus Syed Zulkarnain Syed
Published: June 2020

In the 21st century, much progress has been made following the industrial revolution 4.0. Therefore, the field of animation has also been injected into technological advances. The transmission of information is difficult to convey accurately and interactively to users. In providing users with more exposure and convenience in a more attractive and convenient way. Therefore, animation and motion capture are the best options for use today. As a result, the results of this project can have a huge impact on the animation industry in making video or animation more interesting in 2D animation.
AUGMENTED REALITY TO ELEVATE THE CHENTA KOPI
Authors: Azhar Hanis Wadiha Mohd , Asraf Syed Muhammad Hazry , Idrus Syed Zulkarnain Syed
Published: June 2020

Augmented Reality (AR) to elevate the Chenta Kopi is an application which uses ‘augmented reality’ as a platform to well-known by students and also staff among university. It developed for all student and also staff Universiti Teknikal Malaysia Melaka. This project contain various type of interactivity and element of multimedia like graphic, video, audio and ‘augmented reality’. Element multimedia like this can afford for attract the user also know much further Chenta Kopi. This paper attached with ‘augmented reality’ which enable users fully use their smart phone function. This project develops by using a few software applications like Adobe Illustrator, Adobe Photoshop, Adobe Premiere Pro, and Entiti. The entire graphical element available in this project is design in Adobe Photoshop and Adobe Illustrator. Adobe Premiere Pro is for editing video. Entiti is the platform where all the multimedia element ware integrating to develop an augmented reality. This is reform way for student and staffs acquaint Member of Chenta Kopi closer.
Risk Factors of Cervical Cancer using Classification in Data Mining
Authors: Razali Nazim , Mostafa Salama A , Mustapha Aida , Wahab Mohd Helmy Abd , Ibrahim Nurul Atieqah
Published: June 2020

According to World Health Organization, cervical cancer is the fourth most frequent cancer that have high mortality rate which affected women all around the world especially in low and middle-income countries. As the computer science and information technology field growth, researches on analysing medical datasets such as diabetes, cervical cancer and liver disease and etc also growth. This paper is set to studies classification techniques in data mining on risk factor of cervical cancer datasets. The clssification techniques such as Naive Bayes (NB), C4.5 Decision Tree (C4.5), k-Nearest Neighbors (kNN), Sequential Minimal Optimization (SMO), Random Forest Decision Tree (RF), Multilayer Perceptron (MLP) Neural Network and Simple Logistic Regression (SLR) have been used to classify the dataset whether healthy or cancer result for cervical cancer diagnostic. The dataset is needed to be undergoing intense data pre-processing phase due to imbalance and have a lot of missing value. The performance of classification were evaluated using 10-folds cross validation where accuracy, precision and recall as evaluation metric were measured using confusion matrix to determine the performance power for all classification techniques.
A Data Mining Approach to Prediction of Liver Diseases
Authors: Razali Nazim , Mustapha Aida , Wahab Mohd Helmy Abd , Mostafa Salama A , Rostam Siti Khadijah
Published: June 2020

One of the major diseases in the world is liver disease. The liver is an important part of the large organs in the human body and is also considered a gland. This is because it creates and bites bile. Liver disease is a liver problem that causes the disease. The objective of this study is to propose a rule-based classification model with basic decision making techniques to predict various types of heart disease. To get better results the experiment was done using a different data mining algorithm compared with previous liver disease predictions. All experiments have been implemented at Azure Machine Learning tool. This paper is about to study the prediction of liver disease to produce better performance accuracy by comparing various mining data classification algorithms.
How the sports’ leadership anticipate Instagram as an effective communication tool in managing football club
Authors: Zakaria Fatin Nur Azila , Ishak Noormaizatul Akmar , Idrus Syed Zulkarnain Syed
Published: June 2020

This study is aim to understand how the Instagram application being used as an effective communication tool for the Manager of Kelantan State’s football team or famously known as The Red Warriors (TRW) to manage the football team. The TRW is chosen because it was the first State football team in Malaysia that led by a female manager. The researchers reveal that the content posts in the Instagram can influence the readers to follow the Instagram and how they react towards all posts. Therefore, the researchers monitor the TRW manager’s Instagram account every day for one month to see how she anticipate the Instagram as one of the effective communication tool in managing the TRW. They also explore the visual identity of the content and observe the feedback received with regards to the content post in the manager’s Instagram account to manage her TRW. Using the content analysis research approach, this study find that it is very effective communication tool when the contents has visual identity impact based from the type of feedbacks received from followers. This study shows that the sport leadership does a good choice to use Instagram as main effective communication tool where direct communication process happen in place between the manager and her followers on Instagram. The results of the study also show that contents with video status get more feedbacks compare to pictures and some deficiencies in feedbacks have been identified based on the visual identity elements outlined in this study.
Investigation of the role of individual’s gender in the design of graphical user interface for mobile learning device
Authors: Ling Thong Chee , Alam Taqbir , Hussin Amir ‘Aatieff Amir
Published: June 2020

Nowadays, the mobile phones are making life easier which can do almost anything. Although the concept of mobile learning is not new, there are still studies undergoing about improvement so that users can study using their mobile phones. This project was a study of Graphical User Interface of m-learning applications. The study aimed to investigate whether different genders have different User Interface preferences when came to learn on mobile phones. This project conducted surveys to understand the patterns of User Interface that the users preferred for mobile learning application. The responses had pointed in develop an application based on the survey results which was a unified User Interface design preferred by both males and females. After the application development have been completed, another survey was conducted to evaluate whether the preferred User Interface designs on the application was satisfying them or not. The reviews were mostly positive and thus, a concept or theory of User Interface customization was derived from this project.
An Assessment On The Effects Of Various Factors To The Efficiency Of Workers In A Pipe Manufacturing Company
Authors: Ong Nestor R. , Caoile Phoebe A. , Perlado Erickah Fay L. , Sumapig Ameel M. , Santiago Meryl Grace T.
Published: June 2020

Concrete pipes are one of the most common building materials used all over the world in the field of construction & civil engineering. This paper tackles about the labor’s efficiency in the concrete pipes manufacturing. Efficiency also affects the worker’s productivity since it is a high factor to be considered especially in masonry which is why masonry contractors gather detailed data on their workers’ productivity and as well as factors that may affect productivity. The group used ANOVA analysis to analyze the relationship based on employees’ age, length of service, employee satisfaction index, and acquired technical skills. The significance of this study will be beneficial to both the company and the masonry contractors and can optimize the availability of workers to improve its efficiency.
Effects of incorporation of microwave: Dried corn silk (Stigma maydis) powder on the quality and stability of Beef Patties
Authors: Castillo Essence Jeanne P. Logan-del , Azares Grace F. , Almonte Charlene Joie R. , Pascua Krizella Marie N. , Santiago Isabelle B. , So Erjohn Gregory C. , Umali Alyssa Marie S. , Villamento Herlyn A.
Published: June 2020

Corn silk (Stigma maydis) is a waste product from corn cultivation and is known to contain high antioxidant activity and dietary fiber but is normally discarded due to lack of utilization. The study aimed to analyse microwave-drive corn silk powder (MDCSP) and incorporated in beef patties. The corn silk samples used in this study were obtained from a vendor situated in Juliana Market, Balintawak, Caloocan City. The identification and authenticity of the sample was confirmed at the UST Research Center for the Natural and Applied Sciences (RCNAS). All reagents used were of analytical (AR) grade. The reagents were acquired from the Laboratory Equipment and Supplies Office (LESO) of the University of Santo Tomas (UST), Chemline Scientific Corporation and Belman Laboratories. Glasswares and materials were acquired from LESO. All results were presented as mean (± SD) values in triplicates. The data were statistically treated using XLSTAT at P ≤ 0.05. The data were subjected to analysis of variance (ANOVA). If treatment effects were found significant (P ≤ 0.05), the differences between means were identified by Duncan‘s Multiple Range Test. The result showed microwave drying corn silk for 4 minutes at 900 W was found most appropriate time and setting to achieve the desired moisture content of corn silk. Proximate analyses of MDCSP revealed that microwave – drying can retain its nutritional components. Physico-chemical analyses of MDCSP showed that slightly acidic pH and a low water activity. Particle sizes of MDCSP ranged from 3.69 – 39 μm.
Properties of slow release magnesium and calcium nitrate tablets composed of rice-husk-ash with chitosan coating, within water and in several types of soil
Authors: Adlim M , Khaldun I , Hanum L , Arsha R , Nadia Y , Syahlidayani S
Published: June 2020

Preparation and characteristic of slow release tablet from environmental friendly material has been intensively studied. This current study focused on preparation of slow release tablet of magnesium and calcium nitrate. A mixture of sago starch, rice husk ash, hot water, magnesium and calcium nitrates gave compatible composite to prepare stable tablet. The higher sago starch in the composite gave the more stable tablet but with 20% sago content, tablets will survive at least 11 days in water. Magnesium and calcium release faster within distillate water than in soil. In media either water and soil, magnesium release rate was than rate of calcium release. Magnesium was found less available in RYP soil environment than in entisols and alluvial soil system.
Performance Analysis of High Speed Bit-Interleaving Time-Division Multiplexing Passive Optical Networks (TDM-PONs)
Authors: Dhaam Haidar S Zaeer , Wadday Ahmed Ghanim , Ali Faris Mohammed
Published: June 2020

Time-division multiplexing passive optical networks (TDM-PONs) considered as a good solution for a high bit rate and flexible bandwidth system. In this paper, the simulation of a new bit-interleaving TDM transmitter has carried out. The proposed scheme of downstream TDM-PON based on single Mach–Zehnder modulators (MZM) and single laser diode to carry an electrical multiplexed data providing cost effective, high-transmitted power and easy implementation system. The TDM-PON technique has seen widespread since the beginning of this century, especially with FTTH where flexible bandwidth and high bit rate are required. Hence, the simulation of 10, 25, 40, and 50 Gbps TDM-PON have been presented in three scenarios based on two downstream transmitter schemes of FTTH. Those scenarios have carried out the standard single-mode fiber (SSMF) and the free-space optic (FSO) as transmission media, and the single mode dispersion compensating fiber (DCF) and Fiber Bragg Gratings (FBG) as dispersion compensators. The results show that the electrical multiplexed scheme of TDM transmitter provides better performance with the comparison of the traditional optical TDM transmitter in different scenarios with different bit rates.
Analysis and Design Capacitive Power Transfer (CPT) System for Low Application Using Class-E LCCL Inverter by Investigate Distance between Plates Capacitive.
Authors: Hasan Khairul Kamarudin , Saat Shakir , Yusop Yusmarnita , Husin Huzaimah , Hussin Mohamad Zhafran , Yusoff Zakiah Mohd
Published: June 2020

This study presents the analysis and design of a Capacitive Power Transfer (CPT) system for low power application using a Class-E LCCL inverter based on varying the distance between capacitance plates. The Class-E LCCL inverter can produce a high-frequency alternate current and reduce the size of the capacitance plate to minimise power losses during energy transfer besides yielding low switching losses. In specific, the performance of the LCCL CPT system at 1 MHz operating frequency and 24 V DC supply voltage was analysed via simulation and experimental works. Finally, a prototype of the CPT system was successfully designed, producing 10 W output power through a capacitive plate size of 0.0327 m2and a 0.1 cm air gap at 96.68% efficiency. Based on the performance of the LCCL CPT System design, an efficiency analysis of the LCCL CPT System was performed; the capacitance plate distance was varied from 1 cm to 20 cm and produced a change in total impedance calculation from 57.69+j198.42 Ohm to −2.05j Ohm. Meanwhile, efficiency decreased from 96.68% to 1.25% but power was still transmitted in that range. These findings could be beneficial for hazardous electrical environments, portable applications, consumer electronics, and medical implants.
Effect of Short Fibers Reinforcement in Syntactic Foam: A Review
Authors: Lee C H , Khalina A
Published: June 2020

Syntactic foam is a low density but high compressive strength material. Insertion of fiber reinforcements had increases density of the syntactic foam. However, it has widened its application by the ability of properties tailoring with natural fibers. Influences of fiber length, fiber contents, types of fiber and slab orientation on properties have been reviewed in this paper. On the other hand, to reduce the dependence of high-cost microsphere, fiber reinforced macrosphere has introduced recently. “Rolling ball” and “electrostatic fiber flocking” methods found effectively to lower density and the latter method has better performance reserved. Yet no further information can be revealed currently. On the other hand, uneven properties of natural fibers were unflavored from the material selection. Nonetheless, it will be a “requirement” in future of composite materials innovation. This review paper served as a bird’s eye view for researchers to review the effect of fiber reinforcements in syntactic foams.
Implementation Selected Tools of Lean Manufacturing
Authors: Adzrie Mohd , Elcy K. , Joselyn R. M. , Mohd-Lair Na , Chai F. O.
Published: June 2020

This study aims to understand the general perspective of industrial company operating in Sabah, regarding the implementation selected tools of lean manufacturing. The objectives of this paper are to evaluate the implementation of lean manufacturing and its tools among manufacturing company located in Sabah. Apart from that, it will also identify the problem and factor in implementing lean manufacturing tool as well as the benefits experienced after the adoption of lean manufacturing tools. The scope covers manufacturing company of any types of industry that is actively operating in Sabah, regardless of size. Instrument of study is a survey questionnaire that contains open and closed ended questions, sent out to target respondents. Data analysis is done using descriptive statistics to explain the trends in dataset and Cronbach’s Alpha to test the internal reliability of the instrument. This study finds significant evident of the implementation of lean manufacturing and its tools among manufacturing companies in Sabah, as well as the problem faced in implementation, factors of implementation and benefits experienced after the adoption of lean manufacturing tools.
Point to Point Communication: 5.8 GHz Circular Polarized Proximity-Coupled Feeding Antenna
Authors: Ariffah Sharifah Nur , Mustafa Wan Azani , Idrus Syed Zulkarnain Syed , Muhammad Atiqah
Published: June 2020

In this paper, point to point circular polarized 5.8 GHz patch antenna has successfully designed and simulated. This paper presented a design where both of the opposite edges of the rectangular patch of the antenna are truncated using proximity-coupled feeding technique. Both simulations of the proposed antennas had been analyzed. The objectives of this paper has been achieved which is to design and simulate the circular polarized antenna with operating frequency of 5.8 GHz. From the results, the proposed antennas with different feeding technique that radiate at a constant frequency showed some distinct value towards the size of the antenna and the characteristic of its radiation. The results indicate that the antenna that uses proximity-coupled feeding technique yields 3.551 dB directive gain, return loss and axial ratio at -10.015 and 2.225 dB respectively. Meanwhile, the directivity values for the antennas is 5.97 dBi. It can be conclude that by using proximity coupled fed technique, the gain of an antenna can be enhance thus increasing the antenna performance.
Thresholding Comparison Display Using Graphical User Interface (GUI) with Mobile Notification
Authors: Jamaluddin Muhammad Irfan , Mustafa Wan Azani , Idrus Syed Zulkarnain Syed , Jamlos Mohd Aminudin , Khairunizam Wan
Published: June 2020

Thresholding is a sort of image division that separates protest apportioning an image into a closer view and foundation. The fundamental utilization of image division are medical imaging, object discovery and recognition tasks, content-based image recovery, video surveillance, and automatic traffic control systems. The objective of the thresholding method is to simplify an image into something that is easier to examine. By using MATLAB R2017b as its core programming software, the image will be separated by unused background with uncertainty. This project will describe a few selected thresholding methods such as Fuzzy C-Mean Algorithm’s method, Wolf’s method, Bradley’s method, Bernsen’s method, Triangle’s Method and Deghost’s Method. Each method will experiment with medical and document images. The thresholding method will undergo image quality analysis such as Sensitivity and Specificity. This process is using Graphical User Interface (GUI) and sending messages to phones with Global System for Mobile Notification (GSM) modems is implemented with the aim of allowing researchers to know the best methods by the ease in a convenient manner. This message can send the receiver any time, users only insert telephone number to send their message.
DESIGN AND ANALYSIS OF BICYCLE HELMET MOULDING PROCESS DEVELOPMENT
Authors: Shamsudin M.A , Zulkarnain F.S , Abdullah M.I.H.C.
Published: June 2020

The use of material like synthetic plastic going through injection moulding arising the health problem and hazard to the operator and the environment. The melting plastic used for injection moulding are hazardous to the operator where the potentials of getting skin burns from contact with the heated barrel or from splattering hot plastic and gases or vapours. Photochemical oxidation contain in the plastic depleting the ozone layer. The aim of the study is to design an open mould suitable for the hand lay-up technique of the Kenaf fiber with epoxy resin adhesion. The analysis of the mould designed by using CAD is to study its mechanical properties such as plasticity. The analysis shown the critical part of the moulding is at its centre where the deformation happened. The mould will return to its original shape when the force applied is removed due to the maximum value for shear and equivalent elastic strain did not reach 0.4 m/m which will cause silicon rubber material to tear and failed.
The Usage of Virtual Reality Technology Through Histopology Application to Increase Orang Asli Imagination Skill in History
Authors: Fadzil Nik Ammar Syaffian Nik Mohd , Lah Hazlina Awang , Mustafa Wan Azani
Published: June 2020

Studies show that mobility problems in rural schools among students make the Teaching and Facilitation process less effective. Teachers need to incorporate the elements of Historical Thinking Skills (KPS) in tourism education embodied in the history syllabus of Year Six. However, this element cannot be implemented due to the constraints it has. Preliminary research has shown that Orang Asli students have severe problems with the process of imagination and empathy that they do not reach the minimum KPS level. Thus, one intervention was undertaken - the development of Histopology applications. It is an online application built on ASSURE and MICUP models integrating Google Earth and Google Streer View based on Virtual Reality technology that creates 360-degree views for students to visualize tourist attractions in Malaysia. As a result, the minimum level of KPS was achieved, plus it also fostered the love for the country through the depiction of uniqueness of Malaysia’s tourist destinations.
What Triggers Entrepreneurial Intention among Young Generation? The Impact of Social Media
Authors: Majid Norliana Abd , Zainol Fakhrul Anwar , Afthanorhan Asyraf , Yusoff Ahmad Shidki Mat , Rahim Baidruel Hairiel Abd , Ismail Nor Asmawati , Zakaria Rosdi , Arifin Raihan Mohd , Adnan Wan Ilmiwati Wan , Jaafar Farah Wahida , Wahab Noradilah Abdul , Rahman Nor Amalina Abdul
Published: June 2020

The social media such as Facebook, Instagram, and Tweeter have robustly used in this new era of technology. Despite of the negative impacts imposed by social media related problems like ill health, hackers, and internet addiction, the usage of social media undeniably has implicated positivities in many ways. For instance, the usage of social media in digital business has proved to be effective in attracting the customers to buy the products or services offered. Thus, the usage of social media among young generation is seen as the best way to expose the young people to involve in business. This conceptual paper delibrates some benefits of using social media in digital business as the new way to develop start-up entrepreneur. By reviewing some literature, this paper attempts to explore the significance effect of using social media in triggering entrepreneurial intention among youngsters. The findings indicate that the early involvement in business using social media triggers entrepreneurial intention by intensifying their entrepreneurial knowledge. Ultimately, through the findings of this research, the authors aim to deliver the best way to cultivate entrepreneurial intention among young generation.
Complete solution fulfilment for the manufacturing-based company – how intangible customization of personalization enhances the chances of success
Authors: Teoh Chin Hoong , Zain Zuraidah Mohd , Lee Chang Chuan
Published: June 2020

There is a trending demand in the industry to provide customers with total solutions rather than mere products, and as a result, manufacturing-based companies, more than ever, face stiff challenges to deliver complete solutions successfully. To increase their chances of success, project life cycles are applied across solutions development. This study aims to enhance the chances of success through the personalization of project life cycles. It starts with developing a project life cycle upon which personalization can be achieved. A qualitative longitudinal study was conducted to gauge how well the personalization accomplished its aims. The intangible customization of personalization would allow researchers and practitioners to arrive at their own complete solutions that fulfil their customers’ needs.
Does Artificial Intelligence Prevail in Poverty Measurement?
Authors: Isnin@Hamdan Rusnita , Bakar Azuraliza Abu , Sani Nur Samsiah
Published: June 2020

Artificial Intelligence (AI) has been used widely by many domains in academic research to explore and learn much ambiguity information from small to large dataset. It is also tremendously implemented in daily lives especially in late 20 centuries in diverse formation to enhance business scalability and improving business operation for better services and performances. This trend is also seen to evolve in the field of socioeconomic studies, with an individual or household economic and social status relative to the rest of society. Is this technology present in the field of socioeconomic especially in poverty measurement? What is the form of problem solved? Therefore, the authors try to answers these question through systematic review method from the existence of poverty measurement research until the beginning of 2019. A systematic literature search was performed in the Web of Science and Scopus to identify all potential relevant studies using Kitchenham, 2007 guideline. Of the 53 article documents, 15 papers were selected after subsequent title/abstract and full text screening related to poverty measurement. The findings show that Linear Regression is a popular method chosen and closely followed by Random Forest and Deep Learning. Most studies diversify the use of data sources to predict poverty more accurately. The tendency to use satellites data can be seen more significantly than other types of data. Overall from 2007 to early 2019, the potential for using AI in the socioeconomic remains open.
Performance Analysis of Robust Locations Estimators
Authors: Okwonu F. Z. , Zahayu Md. Y.
Published: June 2020

This paper describes novel computational procedures that reduces the influence of outliers by transformational process. It transforms the influential observations to moderate data points. The procedures utilize all the information contained in the data set. These techniques are compared with the existing robust procedures, such as the weighted mean based on Mahalanobis distance, minimum covariance determinant (MCD), trimmed and winsorized mean. The performance analysis showed that the proposed techniques performed comparably with the well-established robust procedures based on the real data set.
Dynamic behaviour of EDM system through mathematical model
Authors: Dehghani D , Yahya A , Khamis N H
Published: June 2020

Electrical discharge machining (EDM) is a stochastic machining process which widely used to generate dies and molds. However, information about the EDM process is still at the earlier stage which lead to experience many challenges for further developments. Experimental analysis is time consuming as well as a costly procedure, due to the highly stochastic and complex nature of the process. Therefore, process modeling is an alternative to reduce the experimental costs related to the technology. This research proposes method to design a mathematical model of electrical discharge machining (EDM) system. The model will be used to understand the effects of machining parameters into the dynamic behaviour of EDM system based on the sparking phases and pulse power generator.
Numerical Analysis of Bolon as Traditional Batak Toba House During An Earthquake: A Study in Village of Siallagan And Silalahi North Sumatera
Authors: Tarigan Johannes , Nursyamsi Nursyamsi , Hani Sheila
Published: June 2020

There were many two-story building collapsed in The Province of Sumatera during an earthquake. One structure that did not collapse is the Traditional Batak House, which mostly made of wood. Traditional Batak House still stands strong until now eventhough it was built years before the presence of building code. The layout of the structure, the frame concept and also the earthquake force is calculated using Guideline SNI 7973:2013 for wood construction, and SNI 03-1726-2012 for earthquake structure resistant structure design. The research observed traditional Batak Toba house from two villages, the village of Siallagan and Silalahi which is neighboring village. The houses have different model of timber roof construction and also different height.

The structure then analyses with the help of structure software application in seismic condition. One of the outcomes using software computation was natural frequency. The ω for both houses in Village of Siallagan and Silalahi are 12,697 rad/sec and 13,846 rad/sec. while the period of the structure are 0,494 second and 0,454 second. The maximum value of the dynamic response expressed in the shear force of the traditional house for both village is 28,87 kN. The maximum floor displacement for Village of Siallagan is 4.01 cm, and for the Village of Silalahi is 4.14 cm.
Physicochemical and Antibacterial Activity of Soap Enriched with Harumanis Pruned Leaves Extract
Authors: Bahari Rohazita , Kasim Khairul Farihan , Shahrir Nurul Nadiah
Published: June 2020

The aim of this study was to formulate antibacterial soap from Harumanis pruned leaves extract. The antibacterial properties of Harumanis leaves extract were tested using disc diffusion test against five bacteria i.e. Bacillus subtilis, Escherichia coli, Pseudomonas putida, Bacillus megaterium and Bacillus licheniformis. Methanol, ethanol and distilled water were used to extract the Harumanis pruned leaves. Ethanol is the best solvent to extract antimicrobial properties in Harumanis pruned leaves as it shows the largest inhibition zone, whereas, water is the weakest solvent to extract antimicrobial properties in Harumanis pruned as it shows minimum inhibition zone for all the microbes used. The best extract of Harumanis pruned leaves (i.e. ethanol extract) was used in the formulation of the antibacterial soap. The result shows that formulated soap with Harumanis pruned extract have the ability to inhibit all the five microbes tested and therefore, it has the potential to be commercialized as antibacterial soap in the near future.
Drowsiness Detection Based on Facial Landmark and Uniform Local Binary Pattern
Authors: Navastara Dini Adni , Putra Widhera Yoza Mahana , Fatichah Chastine
Published: June 2020

When driving a vehicle, it is often challenging for someone to force his condition to keep driving even though in sleepy condition, thus causing a traffic accident. One of the characteristics of drowsy drivers is the eyes are closed for a certain period. This research proposes a system to detect drowsiness, thus can alert the drowsy driver. The first step is to detect the face using a Funnel-structured cascade algorithm. And then extract the facial landmark features on the face to get the eyes location. The features of eyes are extracted by using a Uniform Local Binary Pattern (ULBP) and the Eyes Aspect Ratio (EAR). EAR is the distance between points at eye landmarks. After the features have been extracted, the system classifies the eyes, whether closed or open by using Support Vector Machine (SVM) method. The system calculates the percentage of eye closure (PERCLOS) to detect drowsiness. Based on the experimental results, the proposed method yields the best accuracy of 95.5% and the optimal value of PERCLOS in drowsiness detection is greater than or equal to 60% with a period of 20 frames.
Fault Tree Analysis to Measure WSN Connectivity Reliability
Authors: Shahabuddin Mohd Zaki B. , Mat Bistaman Izwan Nurli B. , Subri Nor Izham B.
Published: June 2020

Wireless Sensor Network (WSN) is developed with limited capabilities to operate at low cost, using low power, and has non-exist physical topology infrastructure. Somehow, WSN must be connectively reliable to transmit the events data between communicating nodes. In this paper, we propose a method to measure WSN reliability by using the Fault Tree Analysis to identify the specific desired event that contributes to WSN connectivity failure. The computation of Boolean algebra to derive the minimal cut set of network graph discovers the components that are prone to failure. The components need to be resolved to reduce the probability of failure in WSN connectivity. The proposed Fault Tree Analysis and its related Boolean algebra computation verifies the reliability of WSN connectivity is improved by the means of network redundancy design.
Lighting Control System for Energy Management System and Energy Efficiency Analysis
Authors: Abdul Wahab M S , Ramli N A
Published: June 2020

Most of the students are not aware of electrical energy consumption and it will lead to the waste of energy. Additionally, energy expenditure for a university on electrical energy consumption is extremely high and its burden the institution to pay the cost. One of the proposals to solve this problem is by implementing an energy management system. The main purpose of this research is to develop an energy management system for the lighting system and to analyze energy efficiency based on energy consumption. In this research, an energy audit and lighting audit has been performed to analyze the performance of the lighting system. Then, energy efficiency measures for the lighting system has been implemented. This implementation involving the replacement of the LED lamp, installation of a motion sensor and the development of smartphone applications. The energy usage has been measured and recorded in the IoT platform for analysis purposes. Based on MS ISO 8995:2005, the lighting system in the campus is in a good performance and followed the standard. By implementing the energy management system, the cost of energy usage can be saved up to 22.82% and the time taken for the payback is 40.589 months.
Performance comparison of HTTP/2 for Common E-Commerce Web Frameworks with Traditional HTTP
Authors: Siduzzaman Md , Hossan Md Monir , Alom Rakibul , Sarwar Talha Bin , Miah Md Saef Ullah
Published: June 2020

HTTP/2 is a cutting-edge Web convention predicated on Google’s SPDY convention which tries to tackle the deficiencies and rigidity of HTTP/1. As e-commerce websites have become a significant medium for Online shopping, this paper demonstrates that whether HTTP/2 can authentically avail the performance of an e-commerce web browsing over HTTP or not. This paper states that we have studied about the HTTP/2 Implementation & performance analysis for prevalent web frameworks, where we have culled two different e-commerce web frameworks Laravel, WordPress (WooCommerce). At first, we have implemented two e-commerce sites in HTTP, then we have implemented those into HTTP/2. We additionally deployed them on the live server. By utilizing the Webserver Stress Tool & Selenium Web Driver, we have evaluated the performance under the sundry network environments. Selenium has given better results among all. But the webserver stress tool has exhibited some errors only for the http/2. This is our only constraint for this work. But still, we are endeavoring to resolve the problem. Simulation results have shown how HTTP/2 has influenced the page load time in our e-commerce websites. After analyzing all the simulation results, we have decided that Laravel is a more superior e-commerce web framework for both protocols, especially for HTTP/2.