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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
June 2018 | Vol. 96 No.14

Title:	COMPUTATIONALLY EFFICIENT SECURE AND PRIVACY PRESERVING STORAGE OF IMAGE DATA ON HYBRID CLOUD
Author:	K.BHARGAVI, T.BHASKARA REDDY
Abstract:	Cloud computing has changed the model of computing by providing a huge shared pool of resources to public in pay as you go fashion. The predicted growth of cloud shows promising prospects in future. However, there is privacy concern over outsourced data to cloud. This is the challenging problem to be addressed. Many researchers contributed towards secure and privacy preserving storage of data to cloud. They could provide security and privacy benefits to cloud data owners. At the same time, they are causing much overhead. For instance, most of the cryptography based solutions introduced heavy computational costs. Another problem with many existing solutions for hybrid cloud is that the overhead and cost of usage is more. To overcome these problems, in this paper, we proposed a methodology that advocates the effectiveness of using a hybrid cloud. It discriminates the sensitive information from insensitive data and stores it in private cloud while the insensitive data which is bulky is stored in public cloud. This approach has two influencing benefits. The first benefit is optimal utilization of resources over public cloud which results in saving money. The second benefit is to have high level of security as the data stored in public cloud is highly modified copy of original data and insensitive while sensitive data stored in private cloud is needed to establish original data. We proposed an algorithm to realize secure and privacy preserving storage and retrieval of image data on hybrid cloud. We built private cloud with Aneka cloud platform and used Amazon Web Services as public cloud. We built a prototype to demonstrate proof of the concept. Results revealed that our methodology provides data privacy with negligible computational cost when compared with AES. Besides it causes little delay due to the methods employed for modification of original image data.
Keywords:	Cloud Computing, Image Security, Hybrid Cloud, Privacy Preserving, Discrimination Of Sensitive And Insensitive Data
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	UNDERSTANDING THE EFFECTIVE FACTORS OF KNOWLEDGE MANAGEMENT SYSTEM USAGE IN PETROLEUM INDUSTRY IN DEVELOPING ECONOMY
Author:	AKBAR BADPA, JUHANA SALIM, JAMAIAH YAHAYA
Abstract:	Knowledge management system (KMS), as a class of information system, is the backbone of organization that supports the implementation of KM practices. KMS usage contributes to competitive advantages. In the context of oil and gas industry in developing economy, there are reports of KMS usage failure; however, little knowledge is available about antecedents of KMS usage. The extant studies investigating the effective factors of KMS usage have yielded inconclusive findings. In oil and gas industry, there is a paucity of study on determinants of KMS usage. Our research addresses this issue by identifying the determinant factors of KMS usage in the context of oil and gas industry in developing economy, Pakistan. The study adopted cross-sectional survey involving 813 knowledge workers through clustered random sampling and 428 workable responses were returned. Drawing upon the theories of planned Behavior (TPB), Technology Acceptance Model (TAM) and Task Technology Fit (TTF), the study developed a conceptual model and tested it using SPSS and AMOS, Structural Equation Modeling (SEM). The initial conceptual model encompassed 11 hypotheses from which 7 hypotheses were accepted, while the rest were rejected. Thus, the constructs of commitment, subjective norms, perceived usefulness (PU), perceived ease of use (PEOU), Task-KMS-Fit, leadership and knowledge characteristics were accepted as determinants of KMS usage, while the variables of trust, socio-political influences, KMS-self-efficacy, and organizational structure were found to be insignificant. The results of this study have theoretical, practical, and methodological implications. This study bridges the knowledge gap between research and practice of KMS usage in oil and gas industry.
Keywords:	Knowledge Management, Knowledge Management System, Information System, Developing Economy
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	APPLICATION OF FUZZY AND INTERVAL ANALYSIS TO THE STUDY OF THE PREDICTION AND CONTROL MODEL OF THE EPIDEMIOLOGIC SITUATION
Author:	ISSIMOV NURDAULET, MAZAKOV TALGAT, MAMYRBAYEV ORKEN, ZIYATBEKOVA GULZAT
Abstract:	In this article, monitoring and control issues of the social and epidemiological situation have been analyzed. Emergency situations caused by infectious diseases represent the greatest danger in the social and epidemiological sphere. Analysis of infectious morbidity involves determining the quantitative characteristics of the dynamic series, the trend of growth, reducing or stabilizing the incidence, identifying causative factors, in specific areas and for different groups. The criterion of fuzzy controllability was obtained for solving the problem of forecasting and monitoring the epidemiological situation. A new mathematical model and algorithm for solving the task of monitoring and controlling the social and epidemiological situation on the basis of its interval implementation have been described. The social effect will be expressed in increasing the safety of human life. As a consequence, it will be possible to carry out preventive measures in the necessary areas.
Keywords:	Epidemiologic Situation, Controllability, Interval Mathematics, Linguistic Variable
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	COMPARATIVE ANALYSIS OF COHESION METRICS FOR COMPONENT BASED SOFTWARE SYSTEM
Author:	POOJA RANA, RAJENDER SINGH
Abstract:	Background/Objectives: Component-based software engineering (CBSE) is a process of reusing pre- built software components to build a new software. CBSE is based on good software engineering design principles. CBSE is based on black box technique, in which the implementation of components are hidden in nature and the communication between the components is through well-defined interfaces. Component platforms are shared and help in reducing the development costs. To determine the complexity of a software different software metrics are used. It is predetermined that for fineness in software complexity the cohesion should be high and coupling should be low. In our approach we are determining the reusable components of a software system and enhancing the accuracy of the methods for determin¬ing them. Proposed: Two cohesion metrics are proposed Cohv(Cohesion of variables) and Cohm(cohesion of methods). Method : an attempt has been made to present an analytical and empirical evaluation of cohesion metrics proposed in this paper and comparison is drawn between different cohesion metrics which were proposed by Rana and Rajender Singh [11] and Yadav and Tomar[23]. An attempt has also been made to present the results of empirical evaluation based on the case study. Java Beans has been used for validating the Metrics and SPSS tool is used to find out the correlation between different variables and metrics and T test is applied to find out the significance of the metrics. Findings: The Result of the present study is quite satisfactory and may further help in estimation of the complexity of components. The comparative analysis performed between proposed metrics and different cohesion metrics and find that the cohesiveness of proposed metrics is more than existing metrics and the possibility of reusability for developing new applications become high.
Keywords:	Cbse, Testing, Black Box, Metrics, Cohision
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	CLASSIFICATION AND MONITORING OF AUTISM USING SVM AND VMCM
Author:	PROF. KESRA NERMEND, WAJIH ABDUL GHANI ABDUL HUSSAIN, DR. AMMAR IBRAHIM SHIHAB
Abstract:	Autism is a lifelong developmental deficit that affects how people perceive the world and interact with each others. An estimated one in more than 100 people has autism. Autism affects almost four times as many boys than girls. The commonly used tools for analyzing the dataset of autism are FMRI, EEG, and more recently "eye tracking". A preliminary study on eye tracking trajectories of patients studied, showed a rudimentary statistical analysis (principal component analysis) provides interesting results on the statistical parameters that are studied such as the time spent in a region of interest. Another study, involving tools from Euclidean geometry and non-Euclidean, the trajectory of eye patients also showed interesting results. In this research, need confirm the results of the preliminary study but also going forward in understanding the processes involved in these experiments. Two tracks are followed, first will concern with the development of classifiers based on statistical data already provided by the system "eye tracking", second will be more focused on finding new descriptors from the eye trajectories. In this paper, study used K-mean with Vector Measure Constructor Method (VMCM). In addition, briefly reflect used other method support vector machine (SVM) technique. The methods are playing important role to classify the people with and without autism specter disorder. The research paper is comparative study between these two methods.
Keywords:	Autism, Eye tracking, Classification, VMCM, SVM
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	NOVEL RESEARCH FRAMEWORK FOR SOCIAL COMMERCE PURCHASE INTENTIONS
Author:	AHMAD SAMED AL-ADWAN
Abstract:	The absence of social aspects and human presence is conceived as being one of the key drawbacks that impede the future development of e-commerce. The development of social commerce may help overcome this weakness. Social commerce is viewed as a subset of e-commerce that integrates both social and commercial activities by utilising social technologies into e-commerce websites. Social commerce participates significantly in re-introducing the social side of purchasing to e-commerce by enhancing the social presence in the online environment. Based on the role of social technologies and Social Presence Theory (SPT), this study describes the nature of the social side in social commerce by proposing a theoretical framework that incorporates a multidimensional conceptualisation of social presence. The impact of this conceptualisation on building trusting beliefs and subsequent intentions to purchase is then explored. The proposed model suggests that trust is a key driver of social commerce. Furthermore, social presence factors rooted in social technologies participate effectively in the formation of trustworthy relationships between consumers and sellers. While the proposed research model has not been empirically tested, it reveals new insights into social commerce research, and has several practical and theoretical implications.
Keywords:	Commas Social commerce, Social technology, Web 2.0, Social presence, Perceived trust
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	A SMART STICK FOR ASSISTING VISUALLY IMPAIRED PEOPLE
Author:	ASHRAF ANWAR, SULTAN ALJAHDALI
Abstract:	This paper presents a smart stick system for assisting blind or visually impaired people. The smart stick acts as a vision assistant to enable visually impaired people to find difficulties in obstacles detection and dangers in front of them for autonomous navigation. Unlike existing papers, related to obstacles detection means: ultrasonic sensor, infrared sensor, and water sensor, alarm modules: buzzer, sound, and voice statement, and a location finder like the GPS/GSM system, the proposed system integrates all these technologies for the benefits of the blind. The system is designed to act like an artificial vision associated with an alarm unit, and a location finder of the blind. The Global Positioning System (GPS) and Global System for Mobile communications (GSM) are interfaced to the microcontroller to detect the blind person location. The feedback from the real test was positive. The average of avoidance accuracy is 88.75%.
Keywords:	Obstacle Detection, Ultrasonic Sensor, Infrared Sensor, Microcontroller, GPS.
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	EDUCATIONAL DATA MINING FOR ENHANCED TEACHING AND LEARNING
Author:	ATTA-UR-RAHMAN, KIRAN SULTAN, NAHIER ALDHAFFERI, ABDULLAH ALQAHTANI
Abstract:	There are different classroom teaching techniques for effective teaching and learning like; teaching on black/white board, projectors, etc. Some of the students feel comfortable with one technique while others may be comfortable with some other. This study aims to discover trend of comfort level of students with respect to timetabling and teaching techniques. In this regard, a questionnaire is designed to acquire students’ interest that will show what techniques are mostly liked or preferred by different types of students. Based on the feedback, machine learning algorithms are applied to extract the useful results. The analyses are conducted in WEKA and the proposed scheme is compared with other well-known techniques in the literature.
Keywords:	EDM, Machine Learning, Clustering, C-Mean, Apriori Algorithm, WEKA
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	THRESHOLD IDENTIFICATION FOR HTTP BOTNET DETECTION
Author:	NUR HIDAYAH M. S, 1FAIZAL M. A, WAN AHMAD RAMZI W. Y, RUDY FADHLEE M. D
Abstract:	Over the past years, botnets have gained the attention of researchers worldwide. A lot of effort has been given to detect the presence of a botnet. Many researchers focus on developing the systems and compare the detection method to detect the botnet activity. Identifying an appropriate threshold value is essential in order to differentiate between normal and abnormal network traffic. The suitable value of the threshold can minimize false positive rate botnet activity. Therefore, in this paper, we will identify the appropriate static value of the threshold for detecting HTTP botnet. The likelihood ratio tests and classification table were two test that will be used in order to access the fit of the model. The comparative analysis with another researcher also has been conducted. The result found showed about 95% of the data are declared as an attack when the sample of data has been compared with the value of the threshold. Thus, the value of the threshold is acceptable discrimination to use in detecting HTTP botnet activity.
Keywords:	Threshold, Malware, Botnet, HTTP Botnet, Logistic Regression
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	ANALYSIS OF CUSTOMER SATISFACTION LEVEL ON E-COMMERCE WEB FASHION PRODUCT
Author:	DANIEL WAIL, SFENRIANTO
Abstract:	Nowadays E-commerce becoming essentials especially in tenage life. It has become the most popular business in the world. People around the world could shop between countries in ease. An online shopping website could be the source of success not only because it contains useful information, but also because it displays information in a way that is easily recognizable by its users. To compete with other competitor it is important to find out the effectiveness of a site is by examining users' visual preferences while using web pages. This research is done to find out what customers’ preferences by using eye tracking methods and questionnaire method. The two methods are then being compared to find out wether there are any similarities or any cross section within the two. There are several things which are measured; the relation between aspect of information quality; system quality; service quality; user readiness and user satisfaction. The quantitative data are gained through questionnaire and eye tracking test by distributing the questionnaires to online shopping customers. The analysis of data indicated that both research methods using questionnaires and eye tracking are extremely different that they cannot be compared. Apart from that the results of the evaluation of both websites using the method of eye tracking shows that both sites are in accordance with the expectations of the site maker.
Keywords:	Website, E-Commerce, Eye Tracking, Research, Customer Satisfaction
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	DYNAMIC DUAL THRESHOLD BASED SCHEMES FOR ABRUPT SCENE CHANGE DETECTION IN VIDEOS
Author:	MANISH K THAKUR
Abstract:	Detection of abrupt and gradual change of scene in a video is an active area of research for last many years due to its applicability in many applications, viz. content based image retrieval, computer vision, etc. This paper presents dynamic dual threshold based schemes to detect the abrupt scene change in a video. Proposed schemes use static as well as dynamic thresholds defined over set of features proposed in this paper. These features include Mean Squared Error (MSE), Entropy, and Count of displaced blocks. Extensive experiments have been conducted to recommend the values for the proposed thresholds to efficiently detect the abrupt scene change in videos. Experimental results show the good accuracy to detect the abrupt change of scene.
Keywords:	Abrupt Change of Scene Detection, Entropy, Mean Squared Error, Histogram, Count of Displaced Blocks
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	A NOVEL APPROACH OF MOBILE SECURITY ROBOTICS MOVED BASED ON GRAPH THEORY
Author:	KHATTAB M. ALI ALHEETI
Abstract:	Mobile computing plays vital role in our daily life. It has a lot of important applications in modern technology such as, scientific discoveries, rescue operations, and scientific research. The movement direction of mobile robots is considered very important issue because of their direct relationship to the amount of energy consumed. Therefore, computerized direction movement of mobile computer must be measured before transfer from one point to others. Because of any random movement of robots will have negative and direct impact on nodes life. It In this paper, mobile computing is waiting in stand-by mode to obtain a new control data at critical time for moving from one point to other in a specific zoon. In more details, graph theory is utilised in positioned of mobile nodes. In addition, it has the ability in determine mobile computer movement without any energy losses. Our simulations result of the new movement system show that the proposed approaches possess outstanding result with a reduction in energy consumption.
Keywords:	Image Compression, Video Compression, Frame Compression, Frame Extraction 2D-DWTAd hoc network; mobile computing; graph theory; search and rescue.
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	DESIGN OF MAXIMUM POWER POINT TRACKING BASED ON ADAPTIVE NEURO-FUZZY SYSTEM FOR SOLAR ARRAY SYSTEM
Author:	RAMADONI SYAHPUTRA, RAMA OKTA WIYAGI, INDAH SOESANTI, SUDARISMAN
Abstract:	This paper proposes a design of maximum power point tracking (MPPT) based on adaptive neuro-fuzzy system for solar array system. In a solar power plant, MPPT serves to maximize the solar array output power. The characteristics of solar array performance always follow the sun's line. Under normal circumstances, the maximum solar array output power is obtained when the maximum sunlight intensity. This power will decrease as the intensity of sunlight decreases. Therefore, MPPT technology is needed to maximize solar array output power at any time. Several methods have been applied to MPPT technology. In this study the proposed method is adaptive neuro-fuzzy based method. MPPT supported by this adaptive neuro-fuzzy method is mounted on a power converter connected to the solar array output. Along with this MPPT, it is expected that solar array output power is always maximal. Solar array with adaptive neuro-fuzzy-based MPPT method has been implemented in Simulink software. Based on the research results, they have been obtained that MPPT is able to maximize solar array output power well.
Keywords:	Fuzzy Adaptive; MPPT; Optimization; Solar Array, Renewable Energy.
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	FILTERING APPROACH AND SYSTEM COMBINATION FOR ARABIC NEWS CLASSIFICATION
Author:	DR. ZAINAB A. KHALAF, KHADEIJA A. HASSAN
Abstract:	Text classification is one of the important research in text mining applications because of the increasing growth of digital data from different resources. It became urgent need to find systems that help users to get information from this large number of texts easily and faster. One of the most significant challenges facing the text classification is how to reduce the number of features in high dimensional data spaces without reduced the performance. The objective of this research is to design an automatic text classification system and improve its performance with less number of features. Two approaches are proposed in this paper: N-gram features filtering and system combination. The main aim of using different N-gram types is to use deep semantics and less number of features. Three classification systems based on SVM algorithm are applied with different N-gram filtering to reduce the number of features. These systems were compared with conventional classification approaches, cosine similarity and SVM. The system combination fusion the hypotheses produced by the above classification systems in order to select the best class label via voting. These systems are applied on Arabic corpus. The filtering approach reduced the number of features from (5,799) and (12,474) for cosine and SVM systems to roughly (3,400) by using N-gram types representation without reduce the performance. The performance of text classification is enhanced from (81.6) and (91.2) for cosine and SVM respectively to (94.2) for system combination.
Keywords:	Classification , filtering, system combination, N-gram, Arabic news
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	HYBRIDIZATION APPROACH TO ELIMINATE SPARSE DATA BASED ON NONNEGATIVE MATRIX FACTORIZATION & DEEP LEARNING
Author:	HANAFI, NANNA SURYANA, ABD SAMAD BIN HASAN BASARI
Abstract:	E-commerce company delivered product information to customer or customer candidate trough web portal. There is basic mechanism which a system has belong responsible to calculate and predict information that suitable to customers or customers candidate interested namely recommender system. Most successful approach to calculate customer/user interest are based on collaborative filtering. This approach relies on rating from customers to products or items as a basic approach aims calculate similarity of users responds about items to produce recommendation. In fact, just a little number of customers who giving the rating approximately less than 1 percent from all customer population in datasets. It’s a reason of rising sparse data. In this research used 2 technical approach to deal with sparse data consist Non-Negative Matrix factorization to reduce dimensional reduction and involve deep learning to compute latent factor in a part of users, item and rating. This research consider dataset from MovieLens, many researchers believe to conduct experiment their approach algorithm to increase better performance. Final experiment we used RME (Root Mean Error) and RMSE (Root Mean Square Error) to measure accuracy of result experiment and according the result, our approach has obtained good result to reduce missing value.
Keywords:	Non-Negative, E-Commerce, Recommender System, Collaborative Filtering, Matrix Factorization, Deep Learning
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	DEEP LEARNING FOR RECOMMENDER SYSTEM BASED ON APPLICATION DOMAIN CLASSIFICATION PERSPECTIVE: A REVIEW
Author:	HANAFI, NANNA SURYANA, ABD SAMAD BIN HASAN BASARIRecommender system is critical equipment for establishing an effective communication between consumers and retailers in ecommerce business. Effective and enjoyable communication to find the fit product is considered to have a massive implication to increase of sales achievement. Recommender system established in the middle 90s. Based on technical approach, there are four of recommender system model namely Collaborative filtering, Contents Based, Knowledge Based and Demographic filtering. Collaborative filtering is considered to be more superior than another tree methods. It offers obviously advantages in terms of serendipity, novelty and accuracy. Although it has several benefits in recommendation result, in an effort to improve the weakness of the recommender system, many involving machine learning, machine learning with shallow layers was popular in the 90's for instance neural network, SVM. In the era of big data like now, where the amount of data is abundant, and the data variations are very diverse, this will become an increasingly interesting challenge in generating a recommender system results more appropriate in the present era of big data. in this literature review, researchers are trying to find answers to the weaknesses, challenges and opportunities forwards that exist in the method of deep learning for ecommerce recommender system.
Abstract:	Ecommerce, Recommender System, Recommendation System, Deep Learning, Deep Network
Keywords:
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	DEVELOPMENT OF A DECISION SUPPORT SYSTEM BASED ON EXPERT EVALUATION FOR THE SITUATION CENTER OF TRANSPORT CYBERSECURITY
Author:	LAKHNO V., AKHMETOV B., KORCHENKO A., ALIMSEITOVA Z. GREBENUK V.
Abstract:	The work is devoted to the development of the mathematical support of decision support systems (DSS) for information and cybersecurity of information and communication transport systems (ICTS). There was improved the algorithm on the basis of the Delphi method for carrying out a survey to assess the ICTS security using the DSS. The algorithm is adapted for on-line mode for solving the problems of situations development forecasting related to information security and to prevention of the destructive influence of cyber attacks on ICTS. There was proposed a model for structuring of heterogeneous information obtained by interviewing the experts and for forming a knowledge base of DSS. One of the motivating reason for this research was the need to develop a fairly simple for algorithmic implementation, but effective tool for the experts work online, assessing the information security of a particular information object. On the basis of the proposed model, there were developed and tested automated tools for depth ICTS security analysis in the on-line mode using the generation of questionnaires for the research conducting by Delphi method. There were presented the results of approbation of the developed tools for the practical tasks of ICTS cyber security ensuring. It is shown that the proposed solutions allow to reduce financial and time costs in the process of on-line expert evaluation organizing and contribute to its quality and effectiveness.
Keywords:	Information Security, Cybersecurity, Expert Evaluation, Decision Support System, Delphi Method
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	INTERACTION AND LEARNING MODEL IN E-LEARNING USING LEARNING MANAGEMENT SYSTEM
Author:	SANTY, S. KURNIALI, INDRAJANI
Abstract:	It is important for learners to be able interact and learn, even in an e-learning environment. The study focus on developing a model of interactions with the components within the learning environment along with the Learning Management System features that can be used to support the interactions. In this paper we propose an Interaction and Learning Model in E-learning using Learning Management System (LMS). In this approach the LMS acts as a hub that connects every actor and element in the e-learning and acts as a platform where all the e-learning activities will take place. The model emphasizes the relation between the learner's interactions and learning to the type of e-learning and features practiced inside a LMS.
Keywords:	E-Learning; Interaction; LMS; Interaction Model; Features In LMS; Learning Model
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	MODEL-BASED TEST CASE PRIORITIZATION: A SYSTEMATIC LITERATURE REVIEW
Author:	MUHAMMAD LUQMAN MOHD SHAFIE, WAN MOHD NASIR WAN KADIR
Abstract:	Re-testing all test cases during regression testing is costly and time-consuming. These problems motivate researchers to come up with various techniques to overcome them. One of the techniques is Test Case Prioritization that prioritizes test cases in test suite by ordering them according to a desired objective goal. Model-based is one of the approaches which utilizes the system models to make prioritization. The main purpose of this systematic review is to identify and categorize the current state-of-the-art while providing a baseline for future research in model-based Test Case Prioritization. A general search term related to model-based approach was used during the study search in selected digital libraries ranging from 2005 to 2016 to find primary studies that propose model-based approach. A total of 32 primary studies consisting of 21 combinations of conference proceedings, workshop, and symposium and 12 journal articles were finalized after going through a strict selection process. A sum of 48 distinct approaches with their respective characteristics and models used have been identified, and some general constraints of model-based Test Case Prioritization have been highlighted. Future research is recommended to put more focus in detailing the introduced category to benefit the researchers and practitioners.
Keywords:	Model-Based, Test Case Prioritization, Regression Testing, Systematic Literature Review.
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	CURRENT TRENDS IN COMPLEX HUMAN ACTIVITY RECOGNITION
Author:	NEHAL A. SAKR, MERVAT ABU-ELKHEIR, A. ATWAN, H. H. SOLIMAN
Abstract:	Recognition of human activities is a challenging task due to human’s tendency to perform activities not only in a simple way, but also in a complex and multitasking way. Many research attempts address the recognition of simple activities, but little work targets the recognition of complex activities. Currently research on complex activity recognition using sensors is growing in many application domains. This paper provides an analysis of the most prominent complex sensor-based activity recognition. We analyze the structure and working methodology of the existing complex activities recognition systems, discuss their strengths and weaknesses. In addition, we evaluate existing proposals from three different perspectives including overall system evaluation, performance evaluation, and dataset evaluation.
Keywords:	Complex Human Activities Recognition, Conditional Random Field, Hidden Markov Model, Bayesian Network, Random Forest, Context Modeling, Semantic Reasoning
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	BLACK BOX EVALUATION OF WEB APPLICATION SCANNERS: STANDARDS MAPPING APPROACH
Author:	MALIK QASAIMEH , ALA A SHAMLAWI , TARIQ KHAIRALLAH
Abstract:	The Secure Development Life Cycle (SDLC) of web applications aims to enhance the quality attributes of released applications. Security is among of the important attributes during the penetration testing phase. Web Application Vulnerability Scanners (WAVS) help the developers to identify existing vulnerabilities that could compromise the security and privacy of data exchanged between the client and web server during the development and deployment phases. WAVS are used during the deployment phase to continuously evaluate the security of web applications by checking for possible vulnerabilities that can threaten the client services. This paper evaluates the effectiveness and accuracy of five WAVSs (Acunetix WVS, Burp Suite, NetSparker, Nessus and OWASP ZAP) to identify possible vulnerabilities of web applications. The selected scanners are among the top ten recommended web vulnerability scanning software for 2017. The method of black box testing was adopted to evaluate the five WAVSs against seven vulnerable web applications. The evaluation is based on different measures such as the vulnerabilities severity level, types of detected vulnerabilities, numbers of false positive vulnerabilities and the accuracy of each scanner. The evaluation is conducted based on an extracted list of vulnerabilities from OWASP and NIST. The accuracy of each scanner was measured based on the identification of true and false positives. The results show that Acunetix and NetSparker had the best accuracy with the lowest rate of false positives.
Keywords:	Web Application Security Scanners, Evaluation, Owasp, Nist, Security Vulnerabilities
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	IOT WIRELESS HOME AUTOMATION TECHNOLOGIES AND THEIR RELATION TO SPECIFIC ABSORPTION RATE
Author:	NIDAL M. TURAB
Abstract:	Home automation is one of the most promising Internet of Things domains; it involves the control and automation of the human surrounding environment such as ventilation and heating. The automated home has evolved to include the use of a large number of wireless devices that transmit radio frequency power and that can negatively affect the human body when such devices exceed the standard maximum allowable Whole-Body Absorption Rate (SAR). This paper provides an overview of the most important home automation technologies as well as calculates and compares the total transmitted power of these technologies.
Keywords:	SAR, Wavenis, Z-wave, ZigBee, Bluetooth, EnOcean, Insteon , and KNX-RF
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	IMPROVING QUALITY OF SMES INFORMATION SYSTEM SOLUTION WITH ISO 9126
Author:	JOHANES FERNANDES ANDRY, JAROT S. SUROSO, DEVI YURISCA BERNANDA
Abstract:	Oil distribution company in Jakarta, which requires an Order Fulfillment Systems Information, expected from the implementation of this software can achieve several objectives desired by user requirement. The company is SMEs to assist system to be more effective and efficient, provide convenience in terms of process data and information. With the use of applications compared to the manual process of recording which facilitates decision-makers to be able to monitor transactions and report in a short time. To design and implementation of applications that are reliable and avoid the bug or error, required evaluated quality of order fulfillment software used ISO 9126. Problems is implementation and evaluating quality of OFIS based on ISO 9126 standard in terms of functionality, efficiency, portability, usability, maintainability, and reliability, this paper is only on attribute functionality and sub characteristic. Perspectives of user and developer must satisfaction as product quality definitions, base on six high-level and other sub-qualities. The overall attribute describes the behaviour of the system, depending on the specific needs required by the firm.
Keywords:	Order Fulfillment Systems Information, ISO 9126, Attribute, Functionality, SMEs
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	CONSTRUCTION AND EVALUATION OF A USER INTERFACE ACCEPTANCE QUESTIONNAIRE
Author:	ASLINA BAHARUM , ROZITA ISMAIL , DIAN DARINA INDAH DARUIS , NOOR FZLINDA FABEIL , IZA AZURA AHMAD BAHAR , MUHAMMAD OMAR
Abstract:	This study develops a questionnaire used to measure user acceptance of web user interface (UI), particularly web object locations. It explored ASEAN users’ expectations based on constructs in Expectation-Confirmation Theory (ECT). Eight constructs were investigated further, namely expectation (E), perceived usefulness (PU), perceived ease of use (PEU), perceived performance (PP), confirmation (C), satisfaction (S), continuance intention (CI), and interface quality (IQ). A total of 160 respondents from the ASEAN community were surveyed for their acceptance of web-based prototype. An exploratory factor analysis that demonstrate satisfactory reliable and valid scales of the model constructs has been identified. Results show that model contained eight constructs with 21 items could be used to guide and assess the UI design. This study also suggest further analysis to confirm the model as a valuable tool to evaluate the user acceptance towards informational website. It is hoped that, the outcome from this study could be utilized in developing a sustainable web design, particularly in user-centred website which is based on user expectation for web object locations.
Keywords:	Mental Model, Expectation-Confirmation Theory, User Interface, User Acceptance
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	DEMUSE: RELEASING STRESS USING MUSIC MOBILE APPLICATION
Author:	ASLINA BAHARUM, SAKINAH ALI PITCHAY, ROZITA ISMAIL, NOOR FZLINDA FABEIL, NORDALIELA MOHD RUSLI, IZA AZURA AHMAD BAHAR
Abstract:	It can be seen that, conflicts, negative revolution, suicides, and other crimes becoming more common worldwide. Several studies and investigations have been conducted due to this case. Thus, it has been found that one of the root cause is stress, especially among the youth. Although stress can improve work performance and awareness for those who can manage it properly, however if someone is unable to cope with the stressful situation when it becomes excessive, the reaction might be disastrous. In tackling this unfavourable situation, several lifestyle changes have been prescribed such as listening to music, physical activities, doing desired activities, surfing, and others. This study uses the power of music to reduce stress. A mobile application named as “DeMuse” was developed and in its development, Mobile-D step-by-step methodology was applied. At explore phase, a number of existing applications have been compared. At the second phase, the initialize stage, a quantitative analysis was carried out to study the music and mood categories respectively. During the third and fourth phases, which were Productionize and Stabilise, the completion of Data Flow Diagram and Entity Relationship Diagram were established based on the quanti-tative analysis done. In the final phase, the System Test and Fix, the prototype were reviewed by 148 po-tential users. DeMuse showed to be one of the alternative ways to relieve stress. From this finding, DeMuse highlight the main feature which is the music and mood categories. In conclusion, DeMuse is a valid mo-bile apps that could be used to help reduce stress of its user. With this app, it hopes greatly to help in de-creasing and eliminating the tension, dissatisfaction, and others negative feelings of users in their daily life.
Keywords:	Mobile Application, Stress, Music, Mood.
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	REAL-TIME HARDWARE ARCHITECTURE OF THE ADAPTIVE DUAL THRESHOLD FILTER BASED ECG SIGNAL DENOISING
Author:	WISSAM JENKAL, 1RACHID LATIF, AHMED TOUMANARI, ABDELHAFID ELOUARDI, ANAS HATIM, OUSSAMA EL BCHARRI
Abstract:	This paper presents a hardware architecture of the Adaptive Dual Threshold Filter (ADTF). This architecture leads to real-time process of the ECG signal denoising. The ADTF is a recent technique that offers a simple and efficient algorithm of the ECG signal denoising. The implementation of the ADTF is based on a structural VHDL description of different functional blocks. The overall architecture was designed and parallelized in order to accelerate processing. Results of this architecture design show high performances of the real-time denoising process of the ECG signal. The proposed architecture presents a low complexity and a low occupancy of the various resources of an FPGA architecture based low-cost systems presented in this research work.
Keywords:	Electrocardiogram, VHDL, Real-Time, ADTF, FPGA, Low-Cost Systems
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	MALWARE PREDICTION ALGORITHM: SYSTEMATIC REVIEW
Author:	MOHD NAZRI MAHRIN, SURIAYATI CHUPRAT, ANUSUYAH SUBBARAO, ASWAMI FADILLAH MOHD ARIFFIN, MOHD ZABRI ADIL TALIB, MOHAMMAD ZAHARUDIN AHMAD DARUS, FAKHRUL AFIQ ABD AZIZ
Abstract:	Malware is a threat to information security and poses a security threat to harm networks or computers. Not only the effects of malware can generate damage to systems, they can also destroy a country when for example, its defense system is affected by malware. Even though many tools and methods exist, breaches and compromises are in the news almost daily, showing that the current state-of-the-art can be improved. Hundreds of unique malware samples are collected on a daily basis. Currently, the available information on malware detection is ubiquitous. Much of this information describes the tools and techniques applied in the analysis and reporting the results of malware detection but not much in the prediction on the malware development activities. However, in combating malware, the prediction on malware behavior or development is as crucial as the removing of malware itself. This is because the prediction on malware provides information about the rate of development of malicious programs in which it will give the system administrators prior knowledge on the vulnerabilities of their system or network and help them to determine the types of malicious programs that are most likely to taint their system or network. Thus, based on these, it is imperative that the techniques on the prediction of malware activities be studied and the strengths and limitations are understood. For that reason, a systematic review (SR) was employed by a search in 5 databases and 89 articles on malware prediction were finally included. These 89 articles on malware prediction has been reviewed, and then classified by techniques proposed in detection of new malware, the identified potential threats, tools used for malware prediction, and malware datasets used. Consequently, the findings from the systematic review can serve as the basis for a malware prediction algorithm in future as malware predication became a critical topic in computer security.
Keywords:	Malware Prediction Techniques, Computer Security, Potential Threats, Malware, Malware Datasets
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	SYSTEMATIC LITERATURE REVIEW ON USABILITY EVALUATION MODEL OF EDUCATIONAL GAMES : PLAYABILITY, PEDAGOGY, AND MOBILITY ASPECTS
Author:	HANIF AL FATTA, ZULISMAN MAKSOM, MOHD HAFIZ ZAKARIA
Abstract:	Model for measuring usability evaluation for Mobile Game-Based Learning (m-GBL), has developed by many researchers. Since m-GBL had a unique purpose as a tool for the learning process, the model used for usability evaluation for this kind of application should address those individual characteristics such as playability, mobility, and pedagogy. This study presents the finding of literature review concerning to usability model to measure m-GBL. This study also highlights on the model from another application area which is considered to be relevant. Some papers even presented unique characteristics of measurement concerning to children context as a user. Another critical finding is the expert evaluation, and user testing is the most frequently used method for evaluating usability on m-GBL. And the last result shows some model to develop new dimension for usability evaluation is identified
Keywords:	Usability Evaluation, Playability, M-GBL, Mobility, Pedagogy, Heuristics Evaluation
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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Title:	DISCOVERING THE RELATIONSHIP BETWEEN SOFTWARE COMPLEXITY AND SOFTWARE VULNERABILITIES
Author:	YASIR JAVED, MAMDOUH ALENEZI, MOHAMMED AKOUR, AHMAD ALZYOD
Abstract:	Software vulnerabilities might be exploited badly which might eventually lead to a loss of confidentiality, integrity, and availability which translated into a loss of time and money. Although several studies indicated that complexity in software is the main cause of vulnerabilities, still the argument is poorly designed and maintained. Moreover, some studies have already related complexity to vulnerabilities and found that this cannot be generalized. In this work, we explored that what are the factors that contribute more to make a software vulnerable. Several feature selection techniques were applied to find the contribution of each feature. Five classifiers are used in this study to predict the vulnerable classes. The dataset is collected from twelve Java applications, where these applications are analyzed and based on complexity, code coverage, and security. The studied applications are varying in its characteristics regarding a number of code lines, used classes; application size, etc. The result indicates that complexity in all its components (size, depth of inheritance, etc.) can be utilized in predicting vulnerabilities.
Keywords:	Software Vulnerabilities, Software Complexity, Fault Prediction, Relation, Code Complexity
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2018 -- Vol. 96. No. 14 -- 2018
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