Sunday, June 16, 2019

Journal of Information and Communication Technology (JICT) Vol.18, No.3, July 2019

Garmastewira Garmastewira & Masayu Leylia Khodra

Natrah Abdullah & Nur Amirah Mustapar
Faculty of Computer and Mathematical Sciences, Universiti Teknologi Mara, Malaysia;
User are confronted with information overload during searching for the information in virtual library. Studies claim that information overload leads to the changes in physiological signal of an individual which later result in decreased efficiency of information processing. There is a strong perception that when something changes, there is a moment at which the change occurs. The primary purpose of this research is to detect the existence of moment of the changes occur during searching in virtual library, which focusing on the pattern reflected in the physiological data that can potentially be used as indicator of a signal of information overload. This study adopts user testing methods and methods from psychophysiology. This paper presents result from quantitative analysis through graphs and tables. The results indicate that heart rate measurement is the best measure compare to other physiological measurement and the underlying pattern of the signal of information overload is presenting in a form of matrix. The recommendation of the future work is made which is the patterns can be used to design an application which monitor the information load among the individuals.
Keywords: Moment of Information Overload, psychophysiology measure, user experience.
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Norsafinar Rahim & Zulikha Jamaludin
School of Computing, Universiti Utara Malaysia, Malaysia,;
Many children have limitations that significantly impact their writing ability, such as physical, cognitive, and motor limitations, all of which need to be overcome for a good level of written expression. This study addresses problems and difficulties in mastering the process of writing among dysgraphic children. The most suitable method to overcome these problems is to provide activities and exercises that can help students improve visual-motor integration that is correlated with writing skills. With this aim in mind, a dysgraphic-customised application called Write-Rite has been designed to support children, through activities and exercises, in order to fulfil their unique needs. This study attempted to design and evaluate Write-Rite application that provides a stimulating and interactive experience for dysgraphic children to practise writing at different levels of difficulties, which could facilitate the learning process. This research was conducted in two primary school in Kedah, where five participants (age seven to twelve) were studied and evaluate for five weeks. Data was compiled by using an observation, recorded handwriting performance and a self-generated rubric to track the following: letter formation, slant, size and proportion, alignment, spacing and line quality. The results of a preliminary evaluation and assessment of “Write-Rite” concluded that this application has justified its role in terms of optimisation in writing proficiency among dysgraphic children.
Keywords: Dysgraphia, dysgraphic-customized application, handwriting, intervention, learning disability.
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Mohd Hamdi Irwan Hamzah, Fauziah Baharom & Haslina Mohd
Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Malaysia
School of Computing, Universiti Utara Malaysia, Malaysia;;
Service-Oriented Architecture (SOA) is an approach that can be used to integrate different services across the operating system, platform, language, and network which offers some benefits. However, many organizations failed to fully utilize the SOA because the adoption processes are still immature. Therefore, an exploratory study was conducted which aims to investigate the current issues and practices of SOA adoption, the use of maturity levels for assessing the SOA adoption, and the importance of IT and business benefits in the SOA adoption. Thus, the Grounded Theory approach was adapted in the study which involved seven (7) software development companies in Malaysia. In this study, fourteen (14) SOA practitioners with at least three years of experience in the SOA development were interviewed. The collected data was analyzed through three main coding stages which are open, axial and selective coding. The theory emerged from this study reveals the SOA adoption issues, current practices, maturity levels, IT and Business benefits. The study managed to identify five main issues in SOA adoption which are knowledge, infrastructures, costing, readiness, and documentation issues. The study also portrays five practices related to technology, framework, platform, standard, and tools. On the other hand, the results show five IT and business benefits consecutively. The findings from the study have lead to the theories formulation on the SOA adoption which may assist researchers and SOA assessors to continuously improve the quality and maturity of SOA adoption in the future.
Keywords: Grounded Theory, maturity level, Service-Oriented Architecture, SOA adoption, software engineering.
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Razamin Ramli, Rosshairy Abd Rahman & Nurdalila Rohim
School of Quantitative Sciences, Universiti Utara Malaysia, Malaysia;;
Distribution of work shifts and off days to nurses in a duty roster is a crucial task. In hospital wards, much effort is spent trying to produce workable and quality rosters for their nurses. However, there are cases, such as mandatory working days per week and balanced distribution of shift types that could not be achieved in the manually generated rosters, which are still being practiced. Hence, this study focused on solving those issues arising in nurse rostering problems (NRPs) strategizing on a hybrid of Ant Colony Optimization (ACO) algorithm with a hill climbing technique. The hybridization with the hill climbing is aiming at fine-tuning the initial solution or roster generated by the ACO algorithm to achieve better rosters. The hybrid model is developed with the goal of satisfying the hard constraints, while minimizing the violation of soft constraints in such a way that fulfill hospital’s rules and nurses’ preferences. The real data used for this highly constrained NRPs was obtained from a large Malaysian hospital. Specifically, three main phases were involved in developing the hybrid model, which are generating an initial roster, updating the roster through the ACO algorithm, and implementing the hill climbing to further search for a refined solution. The results show that at a larger value of pheromone, the chance of obtaining a good solution was found with only small penalty values. This study has proven that the hybrid ACO is able to solve NRPs with good potential solutions that fulfilled all the four important criteria, which are coverage, quality, flexibility, and cost. Subsequently, the hybridmodel is also beneficial to the hospital’s management whereby nurses can be scheduled with balanced distribution of shifts, which fulfil their preferences as well.
Keywords: Ant Colony Optimization, Metaheuristic Technique, Hybridization Strategy, Hill Climbing, Nurse Rostering Problem.
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Thian Seng Lee & Riza Sulaiman
Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Malaysia;
Researchers and companies of telecommunication sector have been working hard to enhance wireless network infrastructure to fulfill the end user’s needs for Internet connectivity. However, it is not easy to satisfy the high demand and expectation of end users always. There are some situations where Internet connectivity is not enabled due to the locations and environmental constraint. For example, network infrastructure breakdown during a disaster or the user’s device is out of the network coverage area. Besides relying only on the network infrastructure provided by telecommunication companies, one possible strategy to provide Internet connectivity in the ubiquitous environment is to exploit the functionality of end-user mobile devices to be the tool to share Internet connectivity. This paper aims to identify the constraints and challenges of forming Wireless Collaborative Network (WCN) by the end user devices. To identify the constraints and challenges, we have reviewed and categorized the past and current research focusing on collaborating mobile devices in the mobile ad-hoc network for communication and resource sharing. For validation, a simple test case was conducted which involves few mobile devices in a random formation. Base on the finding, it is concluded that the biggest challenge of forming WCN is the ability of mobile devices to provide bridging functionality. This paper also discussed the expecting architecture of WCN and suggested the simulation tools with relevant metrics to be considered in this research area.
Keywords: Internet Connectivity Sharing, Mobile Ad-hoc Network (MANET), Wireless Collaborative Network (WCN), Wi-Fi.
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Garmastewira Garmastewira & Masayu Leylia Khodra
School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia;
Multi-document summarization transforms a set of related documents into one concise summary. Existing Indonesian news articles summarizations do not take relationships between sentences into account and heavily depends on Indonesian language tools and resources. In this paper, we employ Graph Convolutional Network (GCN) which accepts word embedding sequence and sentence relationship graph as input for Indonesian news articles summarization. Our system is comprised of four main components, which are preprocess, graph construction, sentence scoring, and sentence selection components. Sentence scoring component is a neural network that uses Recurrent Neural Network (RNN) and GCN to produce the scores of all sentences. We use three different representation types for the sentence relationship graph. Sentence selection component then generates summary with two different techniques, which are by greedily choosing sentences with the highest scores and by using Maximum Marginal Relevance (MMR) technique. The evaluation shows that GCN summarizer with Personalized Discourse Graph (PDG) graph representation system achieves the best results with average ROUGE-2 recall score of 0.370 for 100-word summary and 0.378 for 200-word summary. Sentence selection using greedy technique gives better results for generating 100-word summary, while MMR performs better for generating 200-word summary.
Keywords: Graph Convolutional Network (GCN), Personalized Discourse Graph (PDG), ROUGE-2, summarization.
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