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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
October 2018 | Vol. 96 No.19

Title:	THE TRANSITION FROM 4G TO 5G BY EMPLOYING FEMTO CELLS PROVEN THROUGH DATA RATE, PLR AND DELAY
Author:	HAIDER ABDUL HASSAN HADI AL KIM, MAGHRIB ABIDALREDA MAKY ALRAMMAHI
Abstract:	This paper introduces the generation five of the mobile systems (5G) utilizing of Femto cells in a single Macro cell of a 4G mobile network. By using three schedulers (Proportional Fair (PF) and its updated version Exponential PF (EXP/PF) besides Maximum Largest Weighted Delay First (MLWDF)), the suggested system has examined three sorts of traffics: Video, VoIP and Best Efforts BE. An enhancement on the overall system moving from 4G to 5G has been shown in the results by adding Femto cells to the main Macro cell. Data rate, packet loss ratio PLR, latency and radio resource allocation fairness are the main parameters that the overall system is judged based on. The simulation findings show that the overall system evaluation is as this: delay and PLR are degraded to decline towards 5G and data rate is boosted even while the number of the system’s users is increased. Moreover, fairness in allocating radio resources is also achieved proven through fairness index. So it is counted as one of the efficient methods to introduce the 5G environment where proven through the increment in the data rate, the breadth of the coverage and the reduction in the latency [1].
Keywords:	4G, 5G, LTE-Sim, Macro, Femto, Schedulers, RRM, Data Rate, PLR, Delay & Fairness.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	MEASUREMENT OF E-LEARNING SUCCESS WITH ADOPTING THE DELONE & MCLEAN MODEL (UNIVERSITY STUDY CASE IN SOUTH JAKARTA)
Author:	SUGI PRINGGANDANI, ALBERT ANTONIO TANUWIJAYA, ANDYLESMANA, SUMONO, WILLIEM, JAROT S.SUROSO
Abstract:	Many universities nowadays have been trying to implement an integrated information system, such as automated scheduling and e-learning, to provide added value for students and efficiency in the business process. A university located in South Jakarta has implemented an integrated system with e-learning portals for lecturers and students, but the success of the information system implementation has never been measured. As we know, the investment of information systems implementation could cost a lot of resources, time, and cost, which makes the measurement of the success of information systems a very important thing to do. The aim of this research is to measure the success of the e-learning system that was implemented in the university using the updated DeLone and McLean IS Success model (2003), with the objective to understand whether implementing an e-learning model really helped produced organizational benefits in the university such as good corporate image, and also to understand whether or not the updated DeLone and McLean IS Success model could really be used to assess the success of implementing e-learning in the university.
Keywords:	D&M IS success model, e-learning, education, university
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	E-LEARNING ACCEPTANCE ANALYSIS USING TECHNOLOGY ACCEPTANCE MODEL (TAM) (CASE STUDY: STMIK MIKROSKIL)
Author:	ANGELA, CHATRINE SYLVIA, HANDOKO, EDI ABDURACHMANE-learning system is one of technology that can increase the competitiveness of STMIK Mikroskil. E-learning system usage will be less than optimal if students refuse or cannot use the system. Therefore, an understanding of student acceptance behavior toward the system is also important in order to improve online learning environment. This study measures the acceptance of e-learning system using the extended Technology Acceptance Model (TAM). This study aims to determine the relationship between self-efficacy, subjective norm, and experience as exogenous constructs to perceived ease of use and perceived usefulness as endogenous construct followed by testing to determine the relationship between perceived ease of use and perceived usefulness toward behavioral intention to use on e-learning system usage in STMIK Mikroskil Medan. Questionnaire data was collected from 354 active students and analyzed with structural equation modeling (SEM) using AMOS 24. The result of this study showed that self-efficacy, subjective norm, and experience has significant positive effect on perceived ease of use. Perceived ease of use has significant positive effect on perceived usefulness. Perceived usefulness has significant positive effect on behavioral intention to use, but perceived ease of use has no significant effect on behavioral intention to use. This finding improves the understanding of student acceptance behavior toward e-learning system that can help improve the service of STMIK Mikroskil e-learning system and can be used as reference for doing other similar research.
Abstract:	E-Learning, Perceived Ease of Use, Perceived Usefulness, Structural Equation Modeling, Technology Acceptance Model
Keywords:
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	LANDSCAPE PLANNING AND ECONOMIC VALUATION OF MANGROVE ECOTOURISM USING GIS AND GOOGLE EARTH IMAGE
Author:	S.T.P. AMBARITA, M. BASYUNI, 1N. SULISTYONO, R. WATI, 1A. FITRI, B. SLAMET, T. BALKE, P. BUNTING, E. MUNIR
Abstract:	Ecotourism is an alternative for development and management of forest area that is expected to provide sustainable economic, cultural and social benefits to the surrounding community. The central components of ecotourism are the landscape and the people. This study aims to create spatial planning of mangrove ecotourism through the exploration of landscape potential in the form of biophysical element and to evaluate recreational and socioeconomic values of Bakau Mas Ecotourism, in Lubuk Kertang Village, Langkat Regency, North Sumatra, Indonesia. Travel cost method (TCM) was used to evaluate the economic value of ecotourism. The ecotourism planning activities comprise of the potential inventory, analysis, synthesis, concept planning, and create the design of the site using geographic information system (GIS) and Google Earth Image (GEI). Landscape planning was developed through the spatial distribution of mangrove forest ecotourism areas. To obtain the socioeconomic values, 51 questionnaires were collected from the visitors. The ecotourism area is provided with 42.20 ha and 11.46 ha of buffer area. The area is equipped with land routes such as trails and boardwalk about 3,628.89 meters and waterways about 1,721.23 meters was the access to interpret the mangrove ecosystem. The economic value of Bakau Mas ecotourism area was IDR 55,002,604.00/year (USD 3,929). These results indicated that the willingness to pay was decreased by increasing the entrance fee. The models estimated that the optimal ticket price was IDR 16,000.00/person (USD 1,14).
Keywords:	Mangrove forest, Ecotourism, Landscape planning, Travel cost method, Socioeconomic value
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	ENHANCED MAC WITH DELAY AWARE MULTIPATH ROUTING (EMAC – DAMR) MECHANISM FOR QUALITY OF SERVICE IN MOBILE AD HOC NETWORKS
Author:	V. SATHISH, DR.V. THIYAGARASU
Abstract:	Mobile ad hoc networks (MANETs) is a kind of wireless network which can be deployed anywhere, anytime. Its applications extend its wings to larger extent and there exists a vast research scope for ensuring Quality of Service (QoS). In this research work, an Enhanced (Medium Access Control) MAC with Delay Aware Multipath Routing (EMAC – DAMR) Mechanism for Quality of Service in MANETs has been proposed. Certain enhancements are made with the conventional MAC in terms of remaining time, packet transmission delay and usage of Erlang factor. Simulations are conducted using NS3, and the performance metrics such as throughput, packet delivery ratio, delay, overhead and packets drop are taken into account for analysing the performance of the EMAC-DAMR. EMAC-DAMR has been compared with existing routing solutions and the results significantly prove that EMAC-DAMR attains better throughput and packet delivery ratio. Also, EMAC-DAMR reduces the packet delay, number of packets drop and overhead packets.
Keywords:	MANET, Wireless Link, Throughput, Packet Delay, MAC.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	COMPARATIVE STUDY OF PARALLEL IMPLEMENTATION FOR SEARCHING ALGORITHMS WITH OPENMP
Author:	RENEA CHOWDHURY SHORMEE, RAVIE CHANDREN MUNIYANDI, DIP NANDI
Abstract:	Investigating the multi-core architecture is an essential issue to get superior in parallel reenactments. However, the simulation highlights must fit on parallel programming model to build the execution. The main goal of this research is to choose and evaluate parallelism using OpenMP over sequential program. For this purpose, there is a portrayal of two searching algorithms. The calculation is to discover the next edge of Prim's algorithm and single source shortest way of Dijkstra's algorithm. These two algorithm actualized in sequential formulation. Parallel searching algorithms are then implemented in view of multicore processor. The speed-up ratio and efficiency of parallel searching algorithms are tested and investigated in SGEMM GPU Kernel performance dataset with 241600 records and 18 attributes. Results show the dataset with different data sizes achieved super linear speed-up ratio and efficiency on OpenMP by running on 4 cores processor and reduction of the running time over sequential program. More importantly, the new implementation drastically decreases the time of execution for thread 8 for Prims algorithm from 5.16ms to 1.48 ms for Dijkstra algorithm. Parallel calculation is impressively powerful for huge graph size. General outcome shows that multi-threaded parallelism is exceptionally successful to accomplish better performance for dataset based on searching algorithms by separating the primary dataset into sub-datasets to increase diversity on arrangement investigation.
Keywords:	Sequential programming, Parallel programming, Prim’s, Dijkstra’s, OpenMP
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	PREDICTING THE SUCCESS RATES OF SCHOOLS USING ARTIFICIAL NEURAL NETWORK
Author:	AHMED SUBHI ABDALKAFOR, AIMAN MAJID NASSAR, MUSTAFA NADHIM OWAID
Abstract:	The Prediction is one of the most important and prevalent topics recently. It is an estimation of what will occur in the future depending on the data obtained previously. In this paper, a model was proposed to predict the success rates of schools neural networks approach. The proposed model was trained and tested by taking the data from General Directorate of Education in Anbar for the academic year 2016-2017 then divided into two equal groups (male and female). Physics and Chemistry subjects are considered the main influent on the success rate after applying the Garson technique. It was obtained a real equation that can be used to predict future success rates for all other educational institutions with regression for Training, Validation and Testing reached to 95.161%.
Keywords:	Artificial neural network, Prediction, Success Rate, Regression
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	MULTIPLE MODELS OF BINARY-SUPPORT-VECTOR-MACHINE FOR FACE VERIFICATION USING HISTOGRAM ORIENTATION GRADIENT FEATURES
Author:	MUSTAFA GH. SAEED, 2MAYSOON M. AZIZ, FAHAD LAYTH MALALLAH, BARAA T. SHAREF
Abstract:	In the past decade, face recognition is considered as an important biometric type due to its wide applications in practice in terms of authentication. The verification process of a human face is not trivial task especially different face poses are captured to be matched. In this paper, an efficient algorithm for face recognition is proposed. In the beginning, the step is starting by capturing the image of the face, then applying some preprocessing operations, after that feature extraction is applied, which is exploiting Histogram Orientation Gradient (HOG) to build the most representative feature vector for each digital image of the face. Next, the feature vector is passed into binary Support Vector Machine classifier (SVM) to construct a binary-SVM model for one individual in order to either accept or reject this individual. In this research, multiple models of binary-SVM are utilized in this methodology, in which for each individual has its own SVM model, which is deemed as the contribution of this paper. Set of experiments have been conducted to estimate the accuracy and performance of the proposed algorithm by using ORL database, which has 400 images face captured from 40 users each user has 10 different images as variant possess lighting, etc. The result has given accuracy up to 99.23% as successful rate coming from both error types: False Accept Rate (FAR) is 0.25 % and False Reject Rate (FRR) is 0.52 %.
Keywords:	Face Recognition and verification, Biometrics, Histogram Oriented Gradient (HOG), Support Vector Machine (SVM).
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	MODELING OF INFORMATION QUALITY MANAGEMENT IN MALAYSIAN PUBLIC SECTOR: A PLS-SEM APPROACH
Author:	ERIZAMSHA HASSAN, ZAWIYAH M. YUSOF, KAMSURIAH AHMAD
Abstract:	In every organization, the importance of information is undeniable since it exerts prominent effects on all internal activities, ranging from strategy-devising to operational exercises. In the absence of high-quality information, an organization will not be able to adopt sound resolutions, which in turn squander opportunities and augment business risks. For decision-making processes, efficient and effective management of information is needed in order to make the same readily accessible as well as up to date. The aim of this research was to devise a model on information quality management with respect to the factors that had an impact on the quality of information. As such, there was a need to first evaluate the relationship of the aforementioned factors with information quality. A questionnaire was utilized to obtain quantitative data from Malaysian public organizations. There were 273 respondents (response rate: 63.5%) responses for which the data was assessed via partial least squares structural equation modeling (PLS-SEM). The findings show that top management commitment, policy, training, record and information management, employee involvement, continuous improvement, teamwork, customer focus, innovation, and information supplier management are capable of acting as a predictor for the information quality products managed in organization. However, benchmarking, employee empowerment, and reward are found incapable to act as a predictor for information quality. Apart from being suitable for use as a source of guidance in organizational implementation and evaluation of information quality, these results could improve the information quality management measures as well, which in turn enhances service-delivery, particularly in public organizations.
Keywords:	Information Quality; Information Quality Management; Information Management; Information System; Information Assets
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	A NEW MODEL OF ARABIC HANDWRITTEN ECOGNITION USING COMBINATION BETWEEN DWT WITH DATA REDUCTION METHOD
Author:	Dr. ANWAR YAHYA EBRAHIM, Dr. ASMAA SHAKER ASHOOR
Abstract:	The objective of this research was to improve an automatic writer recognition technique for off-line Arabic handwritten text. This objective was met by developing a new method which not only addressed the problems in existing techniques but also realized better outcomes than the current solutions on this issue. The projected method is based on Discrete Wavelet Transform (DWT) to extract feature. Also important features for Arabic handwritten alphanumeric character recognition to aid the verification step. This scheme involves of four phases: preprocessing, feature extraction, important features and finally writing recognition. Important features are constructed by data reduction method. After collecting all important features of each character. To recognize fonts, which improves the classiﬁcation performance. Then decision tree classifier was used for writing recognition. In this paper provide good accuracy dealing with important attributes. The suggested ideal is fast and reliable. The proposed technique has been achieved very promising results, with a validation accuracy of 98.45% for HACDB database.
Keywords:	Discrete Wavelet Transform (DWT), Data Reduction Method, (DT) Decision Tree Classifier, Writing Recognition
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	HYBRID E-GOVERNMENT FRAMEWORK BASED ON CLOUD COMPUTING AND SERVICE ORIENTED ARCHITECTURE
Author:	ABDEL NASSER H. ZAIED, ASMAA H. ALI, HAITHAM A. EL-GHAREEB
Abstract:	The increase use of E-Government is a challenge goal for many governments. Through E-Government, an interactive service can be provided to the citizens and businesses. Due to citizens consciousness of internet, E-Government allows citizens to entrance governmental services, information and participate in governmental decision-making process. However, many challenges may prohibit the success of E-Government that may lead to the failure of e-government. Most important of these challenges include shrinking of budgets, increasing of the demand for services, unqualifying of the human resources and changes of scalability demands. Cloud Computing offers more choices to help in implementing and improving E-Government and creating new business and jobs opportunities. Nowadays Cloud Computing and Service Oriented Architecture (SOA) are becoming ubiquitous, the main goal of this research is to propose a Cloud Oriented E-Government Architecture based on Cloud Computing and Service Oriented Architecture that enables citizens to obtain governmental services easily and efficiently regardless the time and geographical barriers. To verify the proposed framework and study the successful implementations, CloudSim simulator was used. The results show that the proposed framework is a powerful framework for E-Governments that provides reusability and discovery of government services and provides solutions to some cloud computing issues.
Keywords:	Cloud Computing, E-Government, Service Oriented Architecture (SOA), Hybrid E-Government Framework.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	EVALUATION OF CRITICAL SUCCESS FACTORS FOR BUSINESS INTELLIGENCE SYSTEMS USING FUZZY AHP
Author:	ABDEL NASSER H. ZAIED , MOHAMED O. GRIDA , GAWAHER S. HUSSEIN
Abstract:	Business intelligence systems (BIS) play an important role in organizations through enabling managers and decision-makers to make accurate, timely and relevant decisions to increase the productivity and profitability of their organizations. To be able to consolidate resources, the prioritization of critical success factors (CSFs) need to be determined. This study articulated sixteen CSFs of BIS based on the previous researches and classified them into four categories. To find out their relative priorities, Fuzzy Analytic Hierarchy Process (FAHP) has been used. Twelve BI experts were asked to pairwise rank the success factors of business intelligence system to conclude that organizational and technological should be the top priority for BIS projects. In addition, that top management support, proper BI vendor selection and adequate resources availability are more important than the other thirteen factors.
Keywords:	Business Intelligence System, Critical Success Factors, Fuzzy Analytic Hierarchy Process.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	RECOGNITION NORMAL AND ABNORMAL HUMAN ACTIVITIES BY IMPLEMENTATION K-NEAREST NEIGHBOR AND DECISION TREE MODELS
Author:	WALA A N. JASIM, ESRA J. HARFASH
Abstract:	Recently the advancement of technology has led to develop human activities recognition (HAR) system in video. HAR system is one of the important fields in computer vision (CV) . This paper presents a system for helping people who suffer from health problems and are stayed alone for long times especially the elderly , by recognizing three normal activities : (walking , drinking and eating) and six abnormal activities : (headache , vomiting , fainting , renal colic , intestinal colic , angina ) from videos monitoring that are chosen from the daily life activities of elderly people . In this paper, we proposed iterative thresholding (global thresholding) to subtract background from foreground, and utilized four different features of extraction techniques :(Radon Transform , DWT , SURF and STIP ) . Finally, K-Nearest Neighbor (KNN) and Decision Tree (DT) are used to classify normal and abnormal activities in video . When the system recognizes any abnormal activities, the alarm system is activated by sending SMS email to the person who is concerned with the status of the patient. The system evaluates (Radon Transform , DWT , SURF and STIP ) with K-NN and DT . LDA is used to select the best features from the four feature extraction techniques and PCA is used with DWT and SURF to apply dimension reduction to obtain the best results. In addition , this paper presents the combination between ( STIP & Radon Transform) and (STIP & SURF) in order to rise the evaluation of the STIP technique and others features extraction techniques with DT. After combination, the performance of combined techniques was improved.
Keywords:	Human Activity Recognition(HAR),Normal and Abnormal Activity, Feature Extraction , Classification, K-NN and DT.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	AN IMPROVED RESCHEDULING AND FAULT TOLERANCE WITH TCSA FOR PERFORMANCE IMPROVEMENT IN COMPUTATIONAL GRID
Author:	S GOKULDEV, ANAGHA P, SUJANA SAGAR S J, AKSHATHA TANTRY H
Abstract:	Fault tolerance is one of the major challenges during fault occurrence in any computational environment. Since, computational grids provide access to huge pool of shared processing power, the chances of fault occurrence are high. The proposed system is focused on performing job scheduling using Two Choices Scheduling Algorithm (TCSA) with tolerating the faults that occur during the process. Job allocation is done with the help of grid system consisting of resource broker and GIS. Once, the faulty resources are identified, scheduler analyses the load of remaining idle resources and reschedules the faulty jobs to the new set of resources which currently has the least load. A comparison is done between Round Robin algorithm and TCSA before and after incorporating fault tolerance. It is observed that the time taken for the completion of allocated tasks has been minimized after the implementation of improvised TCSA incorporating fault tolerance. The work focuses on tolerating the faults that are occurred during task allocation and performs rescheduling by reallocating the tasks to different resources which helped the system to obtain significant results while the system is exposed to high loads.
Keywords:	Average Utilization, Computational grid, Fault Tolerance, Improvised TCSA, Rescheduling
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	MALICIOUS URL CLASSIFICATION SYSTEM USING MULTI-LAYER PERCEPTRON TECHNIQUE
Author:	MOHAMMAD FAZLI BAHARUDDIN, TENGKU ADIL TENGKU IZHAR, MOHD SHAMSUL MOHD SHOID
Abstract:	Currently web-based applications, such as online shopping, education and web based discussion forums are popular. The employments of these applications have successfully assist organizations to stay competitive. Nevertheless, most of website developers are using Content Management Systems (CMS) as a platform to build a website. CMS provides third party plug-in in which this services has lack of control. CMS is designed to enable non-technical user with less knowledge on computer programming, graphics imaging tools, or markup language like HTML to develop their own website. The drawbacks that were highlighted when using CMS are software and operating systems are patched for security threats. Due to lack of patching by the user, hackers can use unpatched CMS software to exploit vulnerabilities to enter the website or web based application. This is the evident of exposing web application to cyber security risks such as malicious Uniform Resource Locator (URL). Meanwhile, malicious URL is the URL of a website that attempts to do the illegal activities on the client side. Furthermore some malicious URL can embed the malicious scripts into the web pages and exploit the vulnerabilities when the user browses such websites. This study is a baseline of measuring the effectiveness of identifying Malicious URLs by using Multi-Layer Perceptron Technique. The identification of malicious URL will be beneficial to web developer to improve the security of web based application. It is then assisting the user or organizations to access the websites without hesitate and doubt. By providing the necessary result and outputs of the effectiveness, this information can be used either for future research of any machine learning techniques.
Keywords:	Malicious URL Classification, Multi-Layer Perceptron, Content Management System, Web-based Application, Web Vulnerability
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	SCHEDULING FOOD INDUSTRY SYSTEM USING FUZZY LOGIC
Author:	ANAS BLASI
Abstract:	In todays food industry, regardless if it is fast food or a sit down restaurant, wait time has a huge effect on customer satisfaction. It has been empirically proven that different firms compete with one another based on how fast their service is and it is also very well known in the food industry community that customers value speed of service highly and weigh it heavily when deciding who the preferred provider is. This paper presents a scheduling food industry using fuzzy based control system and focuses on determining the number of the ovens and workers needs for a certain job in food manufacturing system specially the pizza production industry. The reduction in money waste, increase in customer satisfaction, and the increase in the quality of the service were considered in this paper. Matlab software was used for the implementation stage and code was developed to achieve the final results.
Keywords:	Fuzzy Logic, Fuzzy Inference Systems, Control Theory, Artificial Intelligence
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	HYBRID HOMOMORPHIC CRYPTOSYSTEM FOR SECURE TRANSFER OF COLOR IMAGE ON PUBLIC CLOUD
Author:	HAIDER M. AL-MASHADI, ALA A A. KHALAF
Abstract:	Cloud computing is a model of advanced computing that has an important impact on information technology and provides access to the shared digital resources that existed in cloud servers by using Web services. Great benefits for users through cloud computing such as social networking, banking, finance, storage, e-mail, and many features related to flexibility, ease of use and reliability with high performance and low cost. On the other hand, cloud applications and information are vulnerable to security breaches by unauthorized parties as a result of the shared and online resource environment, which requires protection through appropriate policies, techniques and controls to protect published data, applications, infrastructure and related components of cloud computing. This paper presents three efficient hybrid homomorphic encryption techniques for image encryption to ensure the safe exchange of private images in the public cloud based on the block pixel position. The proposed techniques are constraint on El-Gamal and Enhanced Homomorphic Cryptosystem (EHC). Many methods of security analysis have been implemented on proposed techniques which used many types of images with many experiments. The results showed that our methods are very invulnerability and efficient in terms of security and time compared with El-Gamal and EHC schemes, because they take the good characteristics of El-Gamal and EHC methods like very good security and small run time executions.
Keywords:	Cloud Computing; El-Gamal cryptosystem; Homomorphic Encryption Cryptosystem; Enhanced Homomorphic Cryptosystem; Cryptography.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	A THIRD-ORDER FORMATIVE MODEL: AN EMPIRICAL INSIGHT FROM SME’S WEBSITE INTERFACE QUALITY IN WEST SUMATERA, INDONESIA
Author:	RATNI PRIMA LITA, MEUTHIA MEUTHIA, RANNY FITRIANA FAISAL, RAHMAT HIDAYAT, SARI SURYA
Abstract:	E-commerce has created an idiosyncratic role for Small Medium Enterprises (SMEs) in order to pursue the global market. While the perceived advantage to maximize the potential of E-commerce, SME’s innovation in adopting e-commerce through website remains constant in developing countries. The main impetus of this study is to analyze the effect of the website interface quality and online trust toward website revisit intention in West Sumatera, Indonesia. This present study proposed a comprehensive model of website revisit intention through a third-order level of multidimensional construct using first-order reflective, second and third-order formative. Website interface quality was formed by four dimensions, which are information quality, system quality, service quality, and design quality. Each of dimensions consists of two elements, including content, communication, ease of management, accessibility and speed, customization, emotion, clarity of layout, and usability respectively. Subsequently, online trust also measured by five dimensions including perceived ease of use, perceived usefulness, privacy and security, perceived enjoyment of technology, and company competence. Data were collected using a questionnaire survey from 135 customers of the SME’s embroidery in West Sumatera. Non-probability sampling was employed by convenience sampling technique during data collection. The result of this study revealed that both of hypotheses proposed were accepted. Empirical findings reported that website interface quality has a significant effect on online trust which in turn leads to website revisit intention. The afterward research will provide a valuable insight for further research and practical implication. Consequently, there is a need for more efforts on increasing SME’s awareness to transform their way in doing business by website usage.
Keywords:	SMEs innovation, website interface quality, online trust, website revisit intention, third order level, reflective, formative
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	EMPIRICAL VALIDATION OF COUPLING METRICS FOR OBJECT-ORIENTED SYSTEM
Author:	MUKESH BANSAL , CHAITANYA PURUSHOTTAM AGRAWAL
Abstract:	The Object oriented design metrics can be used to make quality management decisions. The objective of this study is the examination of the connection among object-oriented design metrics. We made a survey and analyzed various object oriented metrics available in literature. We have proposed three new object oriented metrics viz. Attribute Interface Coupling, Method Interface Coupling (MIC) and Design Complexity to measure coupling. The new metrics shall help in measuring complexity of design at early stage based on coupling, designing object-oriented code as well as improve its quality by removing the anomalies and redundancy from code. These metrics have been validated by using six java based projects of different application areas. The empirical validation proves the significance of the proposed metrics.
Keywords:	Coupling Metrics, Object-Oriented System, MOOD, CK, Complexity, Interface Coupling
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	COMPARATIVE STUDY AMONG SOBEL, PREWITT AND CANNY EDGE DETECTION OPERATORS USED IN IMAGE PROCESSING
Author:	AHMED SHIHAB AHMED
Abstract:	It is a fundamental process in image processing. The edges include a great deal of the information in the image. The edges give information about the locations of the objects, their shapes, their sizes and information concerning their texture.in this paper, three edge detection algorithms namely Sobel, Prewitt and Canny edge detection techniques that are used in different images to extract edges. Analyzing the Performance factors are done in the terms of time interval and accuracy on the premise of Mean Squared Error (MSE) and Peak signal to Noise Ratio (PSNR). C# is employed for edge detection. The experimental results shows that canny edge detection technique results higher than Prewitt and Sobel edge detection techniques.
Keywords:	Edge Detection, Image Processing, Sobel, Prewitt, Canny, PSNR, MSE.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	COMPUTATIONAL ANALYSIS OF EFFICIENT ENVIRONMENTAL STRATEGIES FOR SMART CITIES DEVELOPMENT
Author:	ANTON PITONAK, MARTIN LOPUSNIAK, MILOSLAV BAGONA
Abstract:	The existing housing stock offers a large potential for the future. The housing stock of the mass construction is located mainly near downtowns or at their outskirts. Internet network, road network, urban mass transportation, social and cultural services, civic amenities, sports grounds, rest and relaxation zones are established in these residential districts, housing estates. All social strata of residents reside in city districts. The trend during the last 20 years shows that people move from cities to their suburbs. We cope with problems related to civic amenities, transportation, sewerage and water supply networks or internet connection in suburbs. Residents of suburbs work in cities, so they must commute to cities for work, and spent many hours in means of transport, there are no sufficient parking places for them, they produce excessive quantity of CO2 emissions, which is not smart. On the basis of the aforementioned factors, a residential district with the existing housing stock and its renovation in comparison with the individual housing construction at suburb was selected for subject of the case study. In this case study, we focused on obtaining the information and solution of three components creating a smart city, namely: smart energy, smart mobility, and smart economy. These three components were verified in the study by comparison of two areas in the SR. One area is located in the downtown, existing city district in the City of Kosice. The second area is located 11 km from downtown, and it is the suburb. These two areas were compared taking into account energy, environmental and economic demandingness. Primary energy and CO2 emissions were solved in energy assessment. The quantity of primary energy and CO2 emissions was calculated as the total quantity and specific quantity related to the measure unit. In order to take into account the number of residents residing in areas of interest, a new coefficient has been introduced, namely the population number coefficient (KPO). From results of multi-criteria analysis it follows that the residential district achieves the potential of 91.2% to 96.2%. The suburb achieves the potential of 30.2% to 45.7%. It has been demonstrated that the renovation of the existing housing stock is more advantageous from the point of view of energy, environment and economy than the construction of the new housing stock.
Keywords:	Smart city, City district, Suburb, Renovation, Energy
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	PUBLIC SERVICE FOR SMART CITY THROUGH INTERNET MESSENGER: WHICH MESSENGER PERFORM BETTER IN TERMS OF ANTI IDENTITY FRAUD?
Author:	KRESNA RIDWAN, HATMA SURYOTRISONGKO, ARIS TJAHYANTO, BEKTI CAHYO HIDAYANTO
Abstract:	To deliver services to the public, the government needs to communicate with the resident. The easiest way to communicate without boundary is by using social media. This concept brings messenger applications such as Line, Whatsapp, and Telegram as a communication media for a smart city. However, of those three applications, which one is the safest to use? There are various threats such as cybercrime and identity fraud which make the government must choose the most appropriate application that can be applied as public service media. In this study the authors analyze that three application (Line, WhatsApp, and Telegram) in the most popular operating system, Android and iOS to assess which messenger application that has non repudiation characteristic – it means we should know the origin of data about who send the message to prevent an identity fraud in the development of e-government system in smart city. This research analyzed messenger storage location to get the desired data and perform further analysis into forensics analysis software. From this research WhatsApp messenger on every OS platform has the best performance. WhatsApp not only identifies user’s id but also their phone number like Telegram Messenger. Also, WhatsApp has no encryption on their conversation data that make the examiner easier to solve a case on WhatsApp than Telegram. WhatsApp also manages their media data well, all media have names registered in the database, have an extension and neatly organized in the media folder.
Keywords:	Identity Fraud, Internet Messenger, Smart city
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	NOVEL VSS-NLMS ALGORITHM FOR ADAPTIVE EQUALIZER UNDER COMPLEX DYNAMIC WIRELESS CHANNEL
Author:	MOHANNAD A. M. AL-JA AFARI, AMEER H. ALI, SAIF H. ABDULWAHED, HUSSEIN M. H. AL-RIKABI
Abstract:	The Inter-Symbol Interference (ISI) is a challenging problem in a wireless channel that degraded communication links. One of the efficient methods to reduce the ISI is the adaptive equalizer. In the wireless channel, the ISI elimination required an algorithm with powerful computation due to the fast changing of the wireless channel properties. In this paper, a novel Selective Mapping Variable Step Size Normalized Least Mean Square (SMVSS-NLMS) algorithm has been introduced to mitigate the ISI efficiently. The SMVSS-NLMS algorithm operates by computing a mapping of weight vectors from many variable step sizes and selects the vector that gives the minimum error. The SMVSS-NLMS algorithm has been tested and compared to the Tuning-Free VSS-NLMS algorithm (TFVSS-NLMS). The simulation results have been observed under complex static and dynamic wireless channels using Binary Phase Shift Keying (BPSK) and Quadrature Phase Shift (QPSK) modulation schemes. The Bit Error Rate (BER) performance of SMVSS-NLMS considerably outperformed the TFVSS-NLMS at typical levels of signal-to-noise ratio (SNR). Moreover, the SMVSS-NLMS offered faster convergence speeds (12 iterations) and lower Mean Square Error (MSE) (-79 dB) than the TFVSS-NLMS (88 iterations, -14 dB MSE).
Keywords:	Selective Mapping, NLMS, Adaptive Equalizer, Inter-Symbol Interference, Adaptive Filter.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	THE QUALITY EVALUATION OF SCHOOL MANAGEMENT MODEL BASED ON BALINESE LOCAL WISDOM USING WEIGHTED PRODUCT CALCULATION
Author:	ANAK AGUNG GEDE AGUNG, I GUSTI PUTU SUDIARTA, DEWA GEDE HENDRA DIVAYANA
Abstract:	The evaluation of the school management model, especially at the junior high school level, it aimed to provide information about the quality level of school management model based on local wisdom that was owned by the Bali region in particular. This research used an evaluative approach with evaluation design that used the calculation stage of weighted product method to determine the minor and major aspects as a determinant of school management model quality that was applied to junior high school level in Bali Province. Subjects that were involved in this study were selected by using purposive sampling technique which was amounted to 72 people, 27 teachers and 45 students who came from 9 junior high schools in Bali Province. The evaluation data were collected by using interview guides, questionnaires, observation guidance, and documentation studies. The data had been collected, and then was analyzed by using quantitative descriptive technique through interpretation of evaluation result data that utilized the calculation of weighted product method with the quality standard of evaluation result which refers to the evaluation of benchmark grade eleven. The result of this research was the quality level of school management model based on the local wisdom of Bali which was considered special because the percentage of quality level is 92.7%. In addition, through the calculation of weighted products which was obtained minor aspects of determining the school management model quality was the aspect of “menyama braya” while the major aspect was the aspect of “karma phala”.
Keywords:	Evaluation, School Management Model, Balinese Local Wisdom, Weighted Product
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	DEVELOPMENT OF ANEKA EVALUATION MODEL BASED ON TOPSIS IN SEARCHING THE DOMINANT ASPECTS OF COMPUTER LEARNING QUALITY DETERMINANTS
Author:	I PUTU WISNA ARIAWAN, WAKHINUDDIN SIMATUPANG, ANDI MUHAMMAD ISHAK, ANAK AGUNG GEDE AGUNG, SURATMIN, AGUS ADIARTA, DEWA GEDE HENDRA DIVAYANA
Abstract:	The implementation of this research was intended to obtain information about the design of ANEKA evaluation model based on TOPSIS which can describe the stages to obtain dominant aspects of the quality determinant of computer learning. This research was development research using Borg and Gall design that was limited up to preliminary field test stage in generating ANEKA evaluation model based on TOPSIS. The data collection in this research was done through documentation, interview, observation, and questionnaire distribution. Subjects involved in conducting the preliminary field test of evaluation model designs were two informatics experts and two education experts. The analyst technique used in this research was descriptive quantitative based on descriptive’s percentage calculation. The results shown in this study was a design of ANEKA evaluation model based on TOPSIS that was ready to be used because evidenced from the average percentage of model design quality of 89.00% viewed from the results of the preliminary field test that was conducted by experts. Besides, it has also been proven from the simulation result of TOPSIS method accurately, can be determined the most dominant evaluation aspect.
Keywords:	Evaluation, ANEKA, TOPSIS, Dominant Aspect, Computer Learning.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	DETERMINATION OF INITIAL CENTROID IN K-MEANS USING PCA FACTOR SCORES
Author:	BELABED IMANE, TALIBI ALAOUI MOHAMMED, TALIBI ALAOUI YOUSSEF
Abstract:	Clustering is considered as the task of dividing a dataset, such that elements within each subset are similar between them and are dissimilar to elements belonging to other subsets. One of the most commonly and widely used is K-Means clustering because of its simplicity and performance. The initial centroids for clustering are generated randomly before clustering. If the dataset used is large, then the performance of K-Means will be reduced and also the time complexity will be increased. To overcome this problem, this paper focuses on determining the initial cluster centroids for K-Means. For this purpose, PCA factor score initialization is used in this paper. The experimental results show that the proposed technique provides better clustering and also decreases the time complexity.
Keywords:	K-Means, Principal Component Analysis, PCA factor score, centroid initialization
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	A NEW APPROACH FOR MIGRATION OF A RELATIONAL DATABASE INTO COLUMN-ORIENTED NOSQL DATABASE ON HADOOP
Author:	YOUNESS KHOURDIFI, MOHAMED BAHAJ, ALAE ELALAMI
Abstract:	This article presents a new approach based on the "Object" concept, to successfully migrate a relational MySQL database to a column oriented HBase NoSQL database. The purpose of this article is to provide a new model of migration process divided into three phases, the first of which allows to obtain a copy of these metadata using the principle of semantic enrichment, and this to extract the different principles of the objects, including aggregation, inheritance and composition, the second phase of the process concerns the automatic generation of a New Optimised Data Model 'NODM' containing all relational database information in a flattened way. The last phase serves for the migration of the existing relational database into column-oriented database in the Hadoop ecosystem. The whole approach proposes a migration solution from a relational database to a NoSQL column-oriented database, which exploits the fast extraction of data columns for several types of applications, thus generating a better factor for analytic query performance, minimizes the input / output load of the disk, and reduces the amount of data being addressed from the disk.
Keywords:	Relational database, HBase, Data Migration, Semantic Enrichment, Schema Translation, BigData, Hadoop.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	A COMPARATIVE STUDY OF TEST CASE GENERATION AND OPTIMIZATION USING GENETIC ALGORITHM
Author:	ITTI HOODA, PROF. DR. RAJENDER SINGH CHHILLAR
Abstract:	The main consideration of the work is a comparative study and analysis of test case generation and optimization algorithms based on Genetic Algorithm. The work also present how genetic algorithm shows the better result as compared to other techniques by using UML diagram .The comparison is shown between three different techniques which differently consider the genetic algorithm for the purpose of test case generation and optimization. The survey is being presented using the activity diagram and also the activity graph of the Airline Reservation System. The activity diagram of the airline reservation system is first converted into the activity graph. As any graph is the combination of vertices and edges which are connected with some nodes, in the activity graph the nodes actually represents the test path, the test path of the system is being optimized using the optimization technique or we can say using the Genetic Algorithm. The survey conducted is estimated or analysed on various defined factors which are differing for every technique defined in the study. Three algorithms considered are “Test case generation and Optimization using UML models and Genetic Algorithm”, “Optimization of Test case generation using Genetic Algorithm” and “Test case retrieval Model by Genetic algorithm with UML diagram”. This work with the empirical results prove that the algorithm for test case retrieval model by Genetic Algorithm with UML diagram shows better results as compared to other discussed techniques.
Keywords:	UML, Genetic Algorithm, Optimization, test path, Test case, Mutation,Crossover,GA.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	EVALUATION OF A FUZZY 3D COLOR QR CODE DECODER
Author:	Bakri Badawi, TEH NORANIS MOHD ARIS
Abstract:	This paper is an extension of our previous work on color QR code decoder using fuzzy logic. The input is the color QR codes with four versions which are version 3, 13, 14 and 17. These QR code versions are converted to black and white. Then, the QR codes are detected using an open source library named as Zing. Next, the color QR code is retrieved by mapping the black and white QR code with the color image. This is followed by enhancing the color QR code using fuzzy logic. After that the QR code is split into three QR codes, red, green and blue. Each of the color is decoded to get the original file text file. We made a comparison on the success rate for our decoder with other existing decoder. We take in consideration number of color used, camera resolution, QR code version, and QR code error correction level. The comparison with other research work show that by using fuzzy logic improves the decoding success rate up to 93.33% using the same parameter from other research work.
Keywords:	Fuzzy, QR code, QR code version, Color QR code, Decoder
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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Title:	ANALYSIS OF CITIZEN READINESS IN INDONESIA TOWARD E-GOV 2.0
Author:	DARMAWAN NAPITUPULU, KRISNA ADIYARTA, TATA SUTABRI, KAMALIA KAMARUDDIN
Abstract:	Nowadays, many government institutions are competing to increase the quality of public services being provided. Unfortunately, they more emphasized on technology side rather than on citizens side. During this e-Government initiative felt less involving the user as a result of the system designed less match with the expectations of users so that the level of adoption is low. T-Government or e-Gov 2.0 as a new generation of e-Government or Citizen Centric Government has a key element of citizen or user involvement in policy formulation. The objective of T-Government is to encourage more open and transparent government, in which the public has a greater role in e-Government initiatives. But unfortunately, the application of T-Government is still very limited. This study aims to determine the level of citizen adoption of e-Government as a picture of readiness towards the application of T-Government in Indonesia. The method used is a survey where the questionnaire is distributed electronically. The results of the study show two main parts of the level of citizen use of e-Government services and citizen perceptions related to e-participation. Key demographic findings are consistent with previous research that e-Government users in general do not come from category such as old age, low educated, low income and female. Based on the level of technology readiness, citizens can be said quite ready because the majority of respondents (90%) have Internet access from home. Citizens can also be considered as experienced users as more than 60% of respondents have used the Internet for more than 10 years. This is in line with the highly citizen interest in e-participation by 90%, although only about 40% of respondents said they had been involved in e-participation. The results of the analysis can be used as a basis to desaign T-Government based on user needs.
Keywords:	e-Gov 2.0, Citizen, Readiness, ELR, Transformational, Government
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2018 -- Vol. 96. No. 19 -- 2018
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