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31,456 Article Results

Learning styles and teaching styles determine students’ academic performances

10.11591/ijere.v8i4.20345
Nithya Dewi Subramaniam Chetty , Lina Handayani , Noor Azida Binti Sahabudin , Zuraina Ali , Norhasyimah Hamzah , Shahreen Kasim
Individuals learn in different ways using several learning styles, but lecturers may not always share material and learning experiences that match students’ learning preferences. Mismatches between learning and teaching styles can lead to disappointment with students are taking, and lead to underperformance among them. The aim of this study is to identify the learning styles of the students enrolled in Universiti Malaysia Pahang who were registered in Programming Technique course and to investigate the relationship between students’ learning styles and teachers’ teaching styles. Five lecturers and 251 students were involved in the study as participants and. Data from students were collected using Leonard, Enid’s VAK Learning Style Survey. Meanwhile, the teaching styles of the lecturers were identified using Grasha and Reichmann’s Teaching Style Survey. The findings revealed that majority of the student’s preferred visual learning style. The result also shows that the lecturers’ teaching styles give an impact towards the students’ academic performance. From this study, we can conclude that teaching styles have significant impacts on students’ learning styles and academic performances.
Volume: 8
Issue: 4
Page: 610-615
Publish at: 2019-12-01

Developing the indonesian government enterprise architecture framework appropriate for Indonesian government agencies

10.11591/ijict.v8i3.pp152-161
Asbartanov Lase , Benny Ranti
This research was conducted to develop the Indonesian Government Enterprise Architecture (IGEA) framework which is suitable for Indonesian government agencies. Due to their complexity and expensive implementation cost, existing EA frameworks such as TOGAF and Zachman have so far not been the choice for building GEA by some countries including Australia and New Zealand. Those countries have built their own GEA namely Australia’s AGA and New Zealand’s GEA-NZ, respectively. Learning from this experience, the authors did a research to build Indonesia’s GEA or IGEA. This paper explains the research process which starts from mapping or comparing TOGAF, AGA, and GEA-NZ frameworks to get the underlying foundation for building GEA, analyzing framework artifacts, to building IGEA by adding specific Indonesian regulations and policies such as RPJMN and Nawacita. This IGEA framework is expected to become a reference for developing EA not only at institutional level but also the most important thing at national or cross institutional level, in order to increase the effectiveness of government IT spending.
Volume: 8
Issue: 3
Page: 152-161
Publish at: 2019-12-01

An adaptive clustering and classification algorithm for Twitter data streaming in Apache Spark

10.12928/telkomnika.v17i6.11711
Raed A.; Noerthern Technical University Hasan , Royida A. Ibrahem; University of Diyala Alhayali , Nashwan Dheyaa; College of Engineering Zaki , Ahmed Hussien; AL Salam University Ali
On-going big data from social networks sites alike Twitter or Facebook has been an entrancing hotspot for investigation by researchers in current decades as a result of various aspects including up-to-date-ness, accessibility and popularity; however anyway there may be a trade off in accuracy. Moreover, clustering of twitter data has caught the attention of researchers. As such, an algorithm which can cluster data within a lesser computational time, especially for data streaming is needed. The presented adaptive clustering and classification algorithm is used for data streaming in Apache spark to overcome the existing problems is processed in two phases. In the first phase, the input pre-processed twitter data is viably clustered utilizing an Improved Fuzzy C-means clustering and the proposed clustering is additionally improved by an Adaptive Particle swarm optimization (PSO) algorithm. Further the clustered data streaming is assessed utilizing spark engine. In the second phase, the input pre-processed Higgs data is classified utilizing the modified support vector machine (MSVM) classifier with grid search optimization. At long last the optimized information is assessed in spark engine and the assessed esteem is utilized to discover an accomplished confusion matrix. The proposed work is utilizing Twitter dataset and Higgs dataset for the data streaming in Apache Spark. The computational examinations exhibit the superiority ofpresented approach comparing with the existing methods in terms of precision, recall, F-score, convergence, ROC curve and accuracy.
Volume: 17
Issue: 6
Page: 3086-3099
Publish at: 2019-12-01

Baud rate variations effect on virtual channel based on PIC microcontroller

10.12928/telkomnika.v17i6.12828
Sarmad K.; Mustansiriyah University Ibrahim , Hussein M.; Mustansiriyah University Hathal , Riyadh A.; Mustansiriyah University Abdulhussein
Recent year in the world the real applications, usually needed only a few key features of Universal Asynchronous Receiver Transmitter (UART). It is a type of serial communication protocol, which improves the problem of parallel communication and develops effectively in several services. This paper presents a transceiver system based on PIC microcontroller. It also presents software designs to transmit and receive data through the virtual channel. The system is designed to study the effects of baud rate variations between transmitter and receiver for noise and noiseless AWGN channel. The system has been simulated by Proteus simulator version 8.1, and then tested successfully at baud rates (2400, 4800, 9600, and 19200) bps. Simulation results show that the error rate has zero values at the desired baud rate value, and also, at the adjacent values. Thus, the zero level of error rate is increased by increasing baud rate values, which fixed by the transmitter and vice versa.
Volume: 17
Issue: 6
Page: 2755-2763
Publish at: 2019-12-01

Development of four quadrant operation of DC to DC converter using single phase matrix converter

10.11591/ijeecs.v16.i3.pp1249-1256
Rahimi Baharom , Abdul Muin Awang
Single-Phase Matrix Converter (SPMC) is an advanced circuit topology that offer advantages such as the capability to regenerate energy back to the input, sinusoidal input and output current and a manageable input current displacement factor. By considering the opportunity of an advanced SPMC topology, further exploration on DC to DC operation is proposed. The four-quadrant operation of switching algorithm was developed to control the SPMC circuit. The voltage and current profile of each quadrant was investigated to validate the proposed switching control algorithm. As part of four quadrants DC to DC operation, the safe commutation switching algorithm was also developed in order to solve the commutation problem due to the used of an inductive load. The pulse width modulation (PWM) techniques was utilized to synthesize the output of the proposed converter. Results from MATLAB/Simulink are presented to validate the proposed circuit operation.
Volume: 16
Issue: 3
Page: 1249-1256
Publish at: 2019-12-01

Issues limiting the evaluation of post implemented enterprise architecture

10.11591/ijeecs.v16.i3.pp1424-1429
Babak Darvish Rouhani , Fatemeh Nikpay , Rodina Binti Ahmad
Evaluation in enterprise architecture (EA) project is crucial to provide comprehensive information of the developed EA artefacts. It may assist in accurate evaluation of implemented Information Systems (ISs) in order to realize the achievement of EA’s goals and support EA decision makers. This research aims to identify and elaborate the existing issues of EA evaluation models. One of the crucial identified issues is to understand, capture and represent core aspects of EA artefacts. Most existing evaluation models do not provide structured approach which cover comprehensive aspect of EA implementation and some do not provide good practices to be applied. Hence, this research intends to cover the gap by exploring critical issues in EA implementation evaluation and elaborating main shortcomings of the reviewed EA models and methods through a systematic literature review
Volume: 16
Issue: 3
Page: 1424-1429
Publish at: 2019-12-01

Classifying confidential data using SVM for efficient cloud query processing

10.12928/telkomnika.v17i6.13059
Huda Kadhim; University of Information Technology and Communications Tayyeh , Ahmed Sabah Ahmed; University of Information Technology and Communications Al-Jumaili
Nowadays, organizations are widely using a cloud database engine from the cloud service providers. Privacy still is the main concern for these organizations where every organization is strictly looking forward more secure environment for their own data. Several studies have proposed different types of encryption methods to protect the data over the cloud. However, the daily transactions represented by queries for such databases makes encryption is inefficient solution. Therefore, recent studies presented a mechanism for classifying the data prior to migrate into the cloud. This would reduce the need of encryption which enhances the efficiency. Yet, most of the classification methods used in the literature were based on string-based matching approach. Such approach suffers of the exact match of terms where the partial matching would not be considered. This paper aims to take the advantage of N-gram representation along with Support Vector Machine classification. A real-time data will used in the experiment. After conducting the classification, the Advanced Encryption Standard algorithm will be used to encrypt the confidential data. Results showed that the proposed method outperformed the baseline encryption method. This emphasizes the usefulness of using the machine learning techniques for the process of classifying the data based on confidentiality.
Volume: 17
Issue: 6
Page: 3155-3160
Publish at: 2019-12-01

Review on fixed-frequency beam steering for leaky wave antenna

10.12928/telkomnika.v17i6.13291
J. S.; Universiti Teknikal Malaysia Melaka (UTeM) Kasim , M. S.; Universiti Teknikal Malaysia Melaka (UTeM) M. Isa , Z.; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , M. I.; United Arab Emirates University Hussein , Mowafak; Universiti Teknikal Malaysia Melaka (UTeM) K. Mohsen
This paper aims to survey the efforts of researchers in response to the novel and effective technology of control radiation pattern at a fixed frequency for leaky wave antenna (LWA), map the research landscape from the literature onto coherent taxonomy and determine the basic properties of this potential field. In addition, this paper investigates the motivation behind using beam steering in LWA and the open challenges that impede the utility of this antenna design. This paper offers valuable recommendations to improve beam steering in LWA. The review revealed the development and improvement of several techniques of beam scanning LWA. However, several areas or aspects require further attention. All the articles, regardless of their research focus, attempt to address the challenges that impede the full utility of beam scanning and offer recommendations to mitigate their drawbacks. This paper contributes to this area of research by providing a detailed review of the available options and problems to allow other researchers and participants to further develop beam scanning. The new directions for this research are also described.
Volume: 17
Issue: 6
Page: 2895-2902
Publish at: 2019-12-01

The role of social media in reshaping the academic activities of vocational and technical education lecturers in Nigeria

10.11591/ijere.v8i4.20305
Adamu Muhammaed Jebba
The use of social media is one of the predominant features in the average daily life of students and lecturers across tertiary institutions in Nigeria. It was against this backdrop that this study was carried out to determine the role of social media in reshaping the future of academic activities among lecturers of Vocational and Technical education in Nigeria. The study adopted descriptive survey research design. A structured questionnaire consisting of 40- items was developed by the researcher for data collection. The reliability of the instrument was determined using Kuder Richardson (KR20) formula which yielded 0.85. The population of the study comprised lecturers from the two Colleges of Education in Niger State.  Four research questions guided the study. The findings revealed among others that social media is a technological tool that can reshape the future of teaching Vocational and Technical education as it brings with it new opportunities which is capable of promoting collaborative teaching and learning as well as the potential to promote and reshape the future of higher education in institutions of learning. Furthermore, the trend according to the findings of this study revealed that the overwhelming patronage is in terms of making new friends (online), playing games, exchange of affectionate/love messages, online chatting, sharing selfies, spreading false information, hate speeches, and even quarrelling with virtual friends. On the basis of these findings, some recommendations were made which among others include the need for the college management to mount capacity building programmes to retrain the lecturers to understand the concept of social learning and to keep them abreast with innovative teaching and learning platform such as social media.
Volume: 8
Issue: 4
Page: 735-741
Publish at: 2019-12-01

Modified CiteScore metric for reducing the effect of self-citations

10.12928/telkomnika.v17i6.12292
Hilary I.; Covenant University Okagbue , Sheila A.; Covenant University Bishop , Pelumi E.; Covenant University Oguntunde , Patience I.; Covenant University Adamu , Abiodun A.; Covenant University Opanuga , Elvir M.; Kazan Federal University Akhmetshin
Elsevier B.V. launched a scholarly metric called CiteScore (CS) on December 8, 2016. Up till then, the journal impact factor (JIF) owned by Clarivate Analytics (Thomson Reuters) was the only trusted metric for journal evaluation. As noted by Teixeira da Silva & Memon (2017), CS offers some observed advantages over JIF. The potentials of CiteScore as a viable metric are still emerging. The paper briefly introduces a variant of the CiteScore that can be used in quantifying the impact of researchers and their institutions. The ultimate aim is to reduce the numerical effect of self-citations (SC) in academic publishing. The reduction is designed to discourage SC but not diminishing it. The reasons for the adopted methodology are discussed extensively. The proposed modified CiteScore metric is simple, transparent and constructed to ensure integrity in academic publication. The result showed that the proposed modified CiteScore is a better option than the traditional CiteScore and hence, can be applied in impact determination, the ranking of authors and their institutions, and evaluation of scientists for a grant award. The approach used in this paper is entirely new in two ways; first, a metric similar to journal ranking is proposed for ranking authors and their institutions and secondly, disproportionate scores are awarded to different sources of citations to reduce perceived dishonesty in academic publications. In conclusion, this research is one of very few to report the effect of SC on CiteScore. Hitherto, the effect of SC has always been on the journal impact factor (IF).
Volume: 17
Issue: 6
Page: 3044-3049
Publish at: 2019-12-01

Design and realization of motion detector system for house security

10.12928/telkomnika.v17i6.13142
Zainab G.; Al-Esraa University College Faisal , Maysam Sameer; Al-Esraa University College Hussein , Amany Mohammad; Al-Esraa University College Abood
In this paper, the design and realization of motion detector system for house security based GSM network is presents. The development of microcontroller carried out intruder detection that supports tracking techniques to provide vital security with control and alert operation inside and outside the home. The pivot of security on the integration the motion detector and cameras into web applications has become more interested. The smart surveillance Pi camera obtain the input from the motion detector and controller which is send the video to the web server allowing the homeowner to access this video by use web applications. An intrusion alert send to the owner by mean of message via mobile and buzzers alarms located at suitable distance. This system is typify proficient video camera for remote sensing and tracking with live video for succeeding play again to offers efficient and easy implementation with omnipresent surveillance solution
Volume: 17
Issue: 6
Page: 3211-3217
Publish at: 2019-12-01

Performance analysis of CIC multirate filter in cognitive radio for efficient pulse shaping in wireless domain

10.11591/ijict.v8i3.pp184-190
A. S. Kang , Er.Vishal Sharma , Prof.Renu Vig
In this paper, the Performance Analysis of Cascade Integrator Comb Filter in context of Filter Bank Multicarrier Transmission has been presented for Cognitive radio. A benefit of the chosen technique is that, a CIC filter can be designed with a slight adjustment in parameters of interest. The entire performance of the filters designed is analyzed and evaluated by analyzing Normalized Amplitude versus Normalized Frequency plots at typical K and N values. The roll off factor plays a significant role in performance analysis of CIC filter. The results shown are a useful advance for rf design engineers working in the domain of multirate signal processing in wireless communication. To ensure the acceptable performance of Enhanced FBMC, computational complexity, and transmission burst length need to be reduced. The effect of Stop band attenuation on the edges of Magnitude and Frequency responses has been studied under constraints such as Lp, K and M during different simulation runs.
Volume: 8
Issue: 3
Page: 184-190
Publish at: 2019-12-01

Design and fault tolerant analysis of five-phase permanent magnet synchronous motor

10.11591/ijeecs.v16.i3.pp1115-1125
Ahmad Sofian Saari Saari , Dahaman Ishak
This paper presents a design of 15-slot/12-pole, five-phase, surface-mounted permanent magnet synchronous motor (PMSM).  The five-phase PMSM can be an attractive solution to few applications that demand fault tolerant capability such as in aerospace engineering and electric propulsion. The motor model is first investigated based on the implementation of analytical method. The analytical method derived from the subdomain model of the permanent magnet machine is initially applied to estimate the magnetic flux density distributions for the radial component Br and the tangential component Bt in the machine air gap. Other important motor characteristics such as phase back-EMF, line back-EMF, cogging torque and electromagnetic torque are also calculated. The analytically calculated results are then compared with the numerical method in a 2D finite element analysis. Additionally, the capability of this PMSM model against faulty conditions are further investigated. The results show that the analytical model of the 15-slot/12-pole, five-phase PMSM provides very accurate motor performance within acceptable error margin. For instance, the average electromagnetic torques, inclusive of the cogging torque, as computed by the analytical and numerical methods are 5.53Nm and 5.33Nm respectively, yielding an error of 3.6%. During faulty conditions, the PMSM can possibly continue to operate with lower output torque, about 60% to 80% of its rated torque, when one-phase or two phase windings are out of service.
Volume: 16
Issue: 3
Page: 1115-1125
Publish at: 2019-12-01

An overview of the fundamental approaches that yield several image denoising techniques

10.12928/telkomnika.v17i6.11301
Bilal; Universiti Malaysia Perlis (UniMAP) Charmouti , Ahmad Kadri; Universiti Malaysia Perlis (UniMAP) Junoh , Mohd Yusoff; Universiti Malaysia Perlis (UniMAP) Mashor , Najah; Universiti Malaysia Perlis (UniMAP) Ghazali , Mahyun Ab; Universiti Malaysia Perlis (UniMAP) Wahab , Wan Zuki Azman; Universiti Malaysia Perlis (UniMAP) Wan Muhamad , Zainab; Universiti Malaysia Perlis (UniMAP) Yahya , Abdesselam; International Islamic University Malaysia Beroual
Digital image is considered as a powerful tool to carry and transmit information between people. Thus, it attracts the attention of large number of researchers, among them those interested in preserving the image features from any factors that may reduce the image quality. One of these factors is the noise which affects the visual aspect of the image and makes others image processing more difficult. Thus far, solving this noise problem remains a challenge for the researchers in this field. A lot of image denoising techniques have been introduced in order to remove the noise by taking care of the image features; in other words, getting the best similarity to the original image from the noisy one. However, the findings are still inconclusive. Beside the enormous amount of researches and studies which adopt several mathematical concepts (statistics, probabilities, modeling, PDEs, wavelet, fuzzy logic, etc.), there is also the scarcity of review papers which carry an important role in the development and progress of research. Thus, this review paper intorduce an overview of the different fundamental approaches that yield the several image-denoising techniques, presented with a new classification. Furthermore, the paper presents the different evaluation tools needed on the comparison between these techniques in order to facilitate the processing of this noise problem, among a great diversity of techniques and concepts.
Volume: 17
Issue: 6
Page: 2959-2967
Publish at: 2019-12-01

Batik image retrieval using convolutional neural network

10.12928/telkomnika.v17i6.12701
Heri; Universitas Sebelas Maret (UNS) Prasetyo , Berton Arie; Universitas Sebelas Maret (UNS) Putra Akardihas
This paper presents a simple technique for performing Batik image retrieval using the Convolutional Neural Network (CNN) approach. Two CNN models, i.e. supervised and unsupervised learning approach, are considered to perform end-to-end feature extraction in order to describe the content of Batik image. The distance metrics measure the similarity between the query and target images in database based on the feature generated from CNN architecture. As reported in the experimental section, the proposed supervised CNN model achieves better performance compared to unsupervised CNN in the Batik image retrieval system. In addition, image feature composed from the proposed CNN model yields better performance compared to that of the handcrafted feature descriptor. Yet, it demonstrates the superiority performance of deep learning-based approach in the Batik image retrieval system.
Volume: 17
Issue: 6
Page: 3010-3018
Publish at: 2019-12-01
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