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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
December 2018 | Vol. 96 No.24

Title:	AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
Author:	MOHAMMED O. ELFAHAL, MOHAMMED E. MUSTAFA, RASHID A. SAEED
Abstract:	Automatic spoken language recognition refers to a sequence of processes aim to transfer human perception ability of identifying spoken languages to machine using computer program. In spite of great achievements in the domain, the task is still challenging to be practically efficient and reliable. This paper run throughout decades of research attempts approaching optimal languages identification accuracy comparable to human ability of identifying spoken language. Analysis methodologies of extracting most relevant speech information were reviewed. Achievements of approach based on language dependent linguistics rules and those based only on spectral attributes conveys in speech signal were investigated and compared. Exists of standard multilingual speech corpora offers evaluation and comparison of varies speech analysis methods and classification algorithms in single speech variability effects environment. In spite of great achievements, this demanding multilingual communities' communication solution, still looking flexible model easily accepting new language, shorten recognition time, overcoming difficulties of dialects and accents variations and mixed languages speech recognition.
Keywords:	language identification, features extraction, phonotactics, acoustic, mixed speech.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	FACTORS AND MODEL FOR SENSITIVE DATA MANAGEMENT AND PROTECTION IN INFORMATION SYSTEMS’ DECISION OF CLOUD ENVIRONMENT
Author:	HAIFAA JASSIM MUHASIN, RODZIAH ATAN, MARZANAH BINTI A.JABAR, SALFARINA BINTI ABDULLAH
Abstract:	Cloud computing is a growing field, providing the need for enterprises and individuals to access cloud computing resources to meet their organizational computing requirements. The features of scalability, low cost and unlimited resources of cloud computing encourage many organizations and individuals to transfer their data including personal, financial or health data to the cloud. However, security and privacy are main issues in cloud computing because of the factors of confidentiality, integrity, availability and privacy. As well as access control, management and internal attacks. These fears become one of the biggest challenges in the cloud, especially when dealing with sensitive data. This paper described a research done that proposed a framework to enhance information systems decision on managing sensitive information in cloud environment. The main factors are defining which are influencing on decision of management system on sensitive data in cloud and explain the model for these factors. Also, this paper explains shared responsibilities by all parties in the proposed framework which is one of our contribution for this study. The empirical study was conduct which is include expert-questionnaire, interview for pilot study and interviews validation. The proposed framework was evaluated through experts from academics and industries. The results of validation process confirmed the validity of proposed framework and the validity and reliability of the instrument proposed for the study. Empirical study was verified the proposed framework. This framework is enhanced information systems decision on managing sensitive information in cloud computing. This framework using multilevel related to Authorization, Authentication, classification and identity anonymity, and save and verify. The findings for this study by using anonymization technique and classifying the contents of the sensitive data file confirmed preserve privacy and security of sensitive data and enhanced the managing sensitive data.
Keywords:	Cloud Computing, Privacy, Confidentiality, Anonymity, Sensitive Data, Information System Decision
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	THE IMPACT OF SOCIAL NETWORKS IN INFLUENCING THE CONSUMER PURCHASING DECISION VIA THE INTERNET: ANALYTICAL STUDY IN ALBALQA APPLIED UNIVERSITY
Author:	SATTAM RAKAN ALLAHAWIAH, MOHAMMAD MAHMOUD TARAWNEH
Abstract:	This study aimed to investigate The role of social networks in influencing the consumer purchasing decision via the Internet from students’ perspective in the Faculty of karak in southern region of Jordan , The descriptive analytical approach was used in this study. The study included a random sample of students in the faculty and the sample representative of all the study population (100) student. To achieve the objectives of the study, a questionnaire was developed for the purpose of data collection, the SPSS Package / Version (16) was used to analyze the data. The most important findings of this study were ,the perceptions of respondents toward social networks and consumer purchasing decision in karak college were at high level , there also is association between social networks and consumer purchasing decision via internet .The study concluded with a number of recommendation , among which , That the cyber-marketers and web designers should understand the advantages that social networking sites provide, The random sampling process for social network users is a combination of individuals who do not use and who do not buy. Therefore, website designers and marketers should seek to convince users to increase the awareness and awareness of the means of social communication and learn how to apply these tools in order to increase the effectiveness and interaction of websites and their impact on purchasing decisions, know which social networks connect the appropriate site tools and should focus on features that increase consumer support and allow easy exchange of information as well as other features such as site handling, product preview opportunity and product evaluation assistance.
Keywords:	Social Lnetworks, Consume Rpurchasing, Internet, Analytical, University
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	NEW APPROACHES TO MODEL SIMULATED SPATIO-TEMPORAL MORAN’S INDEX
Author:	HAITHAM S. HASAN, HUDA A. OBEED, JAAFAR AL-SHAMMAA
Abstract:	The strength of spatial autocorrelation can be measured by Moran’s index, which enumerates the dispersal (or clustering) degree of objects in space. For instance, investigating data over a general area in 2D by employing a single Moran’s index could not offer a enough summary of the features, spread, behavior, or latent surfaces shared by neighboring areas; rather, by dividing the area and acquiring the Moran’s index of each divided area. Hence, we can determine patterns of the local neighbors not otherwise visible. In this paper, we present a simulation experiment where a time variable is added to a spatial Poisson point process. We then investigate the changes in the Moran statistics over the neighboring areas and propose ideas on how to perform the analysis. This serves as a proof of concept as to why we should be careful in using methods that contain implicit normality assumptions when dealing with spatio-temporal data.
Keywords:	Spatio-Temporal Autocorrelation, Monte Carlo Simulation, Moran’s Index, Asymmetric Eigenvector Maps, Chesapeake Bay.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
(9th January 2019) Paper retracted due to exceeding similariy isseus with follwing paper published and now availble online. https://www.researchgate.net/publication/327390832_New_Approaches_to_Model_Simulated_Spatio-Temporal_Moran's_Index

Title:	EXTRACTING THE FACTORS INFLUENCING THE USE OF COMMUNITY-BASED TRAVELER INFORMATION SYSTEMS BY ANALYSING COMMUTING CRITICAL INCIDENTS
Author:	ABDALLAH NAMOUN
Abstract:	Community-based traveler information systems have become prevalent in our daily life to help people commute from one location to another. Despite the perceived benefits of these systems, such as sustainability and green transportation, the literature still lacks studies about how such systems are used and their impact on promoting sustainable travel decisions and behaviors. This research investigates the current use of two popular traveler information systems, namely Waze (a crowdsourcing navigation app) and BlaBlaCar (a car-pooling website and app). More precisely, this paper identifies commuters’ use of such systems, the real challenges that hinder the adoption of such systems, and the factors leading to the successful adoption of traveler information systems. To this end, we conducted an exploratory study that involved collecting and analyzing 257 real commuting critical incidents through several online channels. The inductive thematic analysis of these commuting stories resulted in four major influential categories, namely instrumental, social, technological, and environmental factors. These factors are further divided and considered critical to the design of effective community-based traveler information systems.
Keywords:	Community based Traveler Information System, Critical Incident, Challenges, Enabling Factors, Design Recommendations
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	INITIAL CONCEPT OF COUNTENANCE MODEL BASED ON ANEKA-TRI HITA KARANA IN EVALUATING COMPUTER LEARNING QUALITY AND STUDENTS’ CHARACTER
Author:	DEWA GEDE HENDRA DIVAYANA, I PUTU WISNA ARIAWAN, AGUS ADIARTA, I WAYAN SUWENDRA, I MADE SUNDAYANA
Abstract:	The evaluation of computer learning character and quality that were learned by students (especially student of the vocational school of information technology) are still in very minimum grade currently. The problems arose when teachers assumed that student competencies have able to measured through just in their cognitive abilities, even though student competencies is also supported by the positive character which they have. Based on these, the purpose of this research was to determine the countenance evaluation model that is integrated with the ANEKA concept and the Tri Hita Karana concept, so that it can be used to comprehensively assess of student cognitive abilities and character in computer learning process. The initial location of this research was on one of the vocational school of information technology in Bali Province that was SMK TI Udayana. The subjects that were involved in this research there were four people, those were two informatics engineering experts and two education evaluation experts. This research was carried out for three years using Borg and Gall development method, wherein the first year research was carried out the conceptual development of evaluation model, in the second year the research will make an evaluation application and field testing, while on the third year the research will doing an operational field testing and dissemination of applications which is ready to be used on a wide scale. Especially in this first-year research, the development of evaluation model’s conceptual design was done used a data collection tool in the form of questionnaires, documentation picture, observation guidelines, and interview guidelines. The data those had been collected then analyzed by using quantitative descriptive analysis techniques. The results of this research indicated the design of countenance evaluation model based on ANEKA-Tri Hita Karana, and those had been tested by experts with effectiveness level of 88%, so it is ready to be used as a basis in making the physical design of the application in the next second-year research.
Keywords:	ANEKA, Countenance Model, Tri Hita Karana, Computer Learning
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	DETERMINING THE LEVEL OF TRUSTWORTHINESS OF INFORMATION IN SOCIAL MEDIA
Author:	MOHAMAD NAZRI BIN KHAIRUDDIN YAP, MASSILA BINTI KAMALRUDIN, SAFIAH BINTI SIDEK
Abstract:	The social media are increasingly becoming the main reference and having important implications on virtual community. Parts of the information published in the social media could be useful and some could be misleading. Therefore, there is a need to develop an approach that can verify the trustworthiness of online information to minimise the dissemination of misleading information. This paper presents a study that develops an objective approach to determine the level of trustworthiness of information. Based on four parameters derived from literature and empirical data, an algorithm to determine the level of trustworthiness has been developed. This algorithm measurement of trustworthiness was then realised through an automated tool called TrustCrawler. The functionality of the tool was demonstrated using online information on Government Service Tax (GST) of Malaysian drawn from Twitter. It was found that the tool is able to provide consistent results on the level of trustworthiness of online information based on the four parameters. It is anticipated that this tool is able to help social media users to determine level of trustworthiness of the information, hence becoming informed, safe and ethical users of media content.
Keywords:	Degree, Information Trustworthiness, Social Media
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	CONCEPTUAL MODEL FOR ASSESSMENT TOOL TO MEASURE CITIZEN-CENTRICITY IN E-GOVERNMENT WEBSITES
Author:	KAMALIA AZMA KAMARUDDIN, UMMI SAA’DAH MARNI, NOR LAILA MD NOOR
Abstract:	Citizen-centric e-government website is a crucial element for the present governments because it serves as a key tool to increase access to and from citizens. To ensure websites comply with citizen-centricity concept, assessment on the websites need to be done to measure its conformance. However studies have shown that there are no standardized approaches and evaluation criteria to assess citizen-centric e-government websites. This research sets out to develop a conceptual model for an assessment tool to measure citizen-centricity in e-government websites and propose an assessment tool for measuring citizen-centricity in e-government websites. To achieve the objectives, a qualitative approach using literature analysis and website observation methods was employed. Analysis of the results showed that the proposed conceptual model encompassed four components and thirty-nine characteristics under seven different themes. Based on the model, an assessment tool to measure citizen-centricity in e-government websites has been developed as an artifact of the research.
Keywords:	Citizen-Centric, E-Government, E-Government Website, Website Assessment, Assessment Tool
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	DYNAMIC EXTENSION OF ENTROPY-BASED GRAVITY MODEL FOR TRIP DISTRIBUTION PURPOSE
Author:	ASMA SBAI, ABDELALI TOUIL, FATTEHALLAH GHADI
Abstract:	Previous studies had investigated the estimation of demand using either static or dynamic approach. Each approach has its positive and negative side. During these last years, more attention was given to the combination of static and dynamic models and the integration of traffic assignment to obtain a more accurate updated matrix. In this paper, we present a simulation where we use the entropy-based gravity model to generate a seed matrix then we update the links costs using Stochastic User Equilibrium assignment model to obtain a new estimation. We show that incorporating an assignment method to the process of estimation of Origin Destination Matrix lead to a better estimation.
Keywords:	Dynamic gravity models; Transport planning; Origin Destination Matrix; Gravity model; Stochastic User Equilibrium
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	EVALUATION FRAMEWORK OF M-GOVERNMENT SERVICES SUCCESS IN MALAYSIA
Author:	NOOR DHEYAA AZEEZ , MUHAMMAD MODI LAKULU
Abstract:	Technological amplification has expended the involvement of information and communication technology in public sectors and has increased governmental dependence on information systems bringing the management attention towards improving the success of m-government services. Based on the analytical literature review, it was found that most of the m-government evaluation models address the m-service dimensions that assess the quality of m-government platforms. This gives a very constrict perspective to m-government and ignores the key dimensions. Hence, it becomes important to understand how citizens perceive m-government services. This involves defining what m-government service is, identifying its underlying dimensions, and determining how it can be measured. Therefore, periodical evaluation on the success of m-government services becomes essential. Foregoing discussion clearly indicates the necessity of developing a comprehensive m-government service success evaluation framework which not only evaluates the m-government service success but also evaluates the m-government service quality criteria and the citizens’ perception in the form of citizens’ trust in m-services offered. Thus, the objective of this study is to develop a framework called "m-government service success evaluation framework" (M-GSEF) that evaluates m-government service success from the citizen’s perspective. The Fuzzy Delphi method based on expert opinions was used to evaluate the proposed framework to determine whether all important dimensions and measurement items included in the proposed framework (M-GSEF) were in the right research context or not. Ten sub-factors were excluded after the implementation of the Fuzzy Delphi analysis because they did not meet the requirements. As a result, final framework was obtained in evaluating the success of Malaysian mobile government services
Keywords:	M-Government, Success, Evaluation Framework, Fuzzy Delphi.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	CROWD-BASED PROCESSING OF SOCIAL MULTIMEDIA TO SUPPORT INFORMATION ASSESSMENTS IN DISASTER RESPONSE
Author:	H. FRITZE, E. CLEMENTINI, S. BREDA, C. KRAY
Abstract:	At the onset of a disaster, the rapid assessment of relevant information is one of the most critical challeng-es for decision-makers at all levels. The proliferation of social networking software combined with the in-creasing pervasiveness of smartphones has established new sources of very timely and current infor-mation. However, crowd-sourced social media suffer some major drawbacks hindering its efficient use. Aid organizations and agencies need to be able to rely on a valid and relevant set of information, which they can incorporate systematically in their response actions. This paper addresses the identification of poten-tially relevant photos shared through social networks and their preparation for a rapid spatial assessment. We present a conceptual framework for a crowd-based, semi-automated approach of processing photos to leverage them for a spatial information assessment. The framework enables ad-hoc volunteers to digitally support response actions by reviewing, georeferencing, and annotating shared photos. We introduce a pro-totype called DisasterMapper, which retrieves photos from Twitter and provides a geovisualization tool for semi-automatic human processing and annotation. In two different evaluations, we were able to demon-strate that digital volunteers can successfully process social multimedia content and create a set of valua-ble photos applicable for systematic information assessment operations.
Keywords:	Social Multimedia, Micro-Tasking, Interactive Geovisualizations, Digital Volunteers, Crowd Processing
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	A COMPARATIVE STUDY ON THE SOFTWARE ARCHITECTURE OF WRF AND OTHER NUMERICAL WEATHER PREDICTION MODELS
Author:	ABEDALLAH ZAID ABUALKISHIK
Abstract:	Software modularity architecture facilitates software development and software reusability. Software reusability enhances the maintenance of software, facilitates building larger component out of sub-components. Numerical weather prediction uses complex mathematical models and run them on powerful computers to forecast weather conditions. Numerical weather prediction models have proliferated and can be classified into regional and global models. The Weather Research Forecast model is considered the next-generation mesoscale regional model and widely used. The Weather Research Forecasting model consists of several modules interacting with each other. This research aims to study the WRF’s software architecture, software modules, and the forecasting accuracy of WRF in respect to other well-known Numerical Prediction Models. The study outcomes show that WRF’s software architecture characterized with high degree of flexibility, loosely coupled modules which plays a very important role to obtain accurate forecasting results through the application of independent modules, and consequently it provides a high reliable and accurate forecasting results.
Keywords:	Weather Research Forecasting, Numerical Weather Prediction, Software Architecture.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	USER EXPERIENCE ASSESSMENT TO IMPROVE USER INTERFACE QUALITY ON DEVELOPMENT OF ONLINE FOOD ORDERING SYSTEM
Author:	HANIF AL FATTA, BAYU MUKTI
Abstract:	User interface played a significant rule in delivering an acceptable system to the user. Many researchers have studied the use of user interface evaluation to enhance the quality of the user interface. This study aimed to improve the quality of the food ordering system by enhancing the user interface of the existing system. It is believed that the better user interface may lead to higher user satisfaction. This study analyzed user experience of food ordering system’s users using Usefulness, Satisfaction, and Ease of Use ( USE) Questionnaire. The data from 50 active customer participants as the primary user of the food ordering system is gathered and analyzed. Moreover, the result of this study showed that the utilization of USE questionnaire is successful in capturing more usability problems. The questionnaires are significantly showed the weakness of the current food ordering system and opened more possibilities for the developer to enhance and revise the user interface of the existing ordering system to deliver better service for the user.
Keywords:	user interface, user experience, USE, usability.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	THE ROLE OF INFORMATION TECHNOLOGY IN KNOWLEDGE MANAGEMENT IN SMALL MEDIUM ENTERPRISE
Author:	SUHARDI, HAPOSAN BANJARNAHOR, STEFFI ADAM, ADE KURNIAWAN
Abstract:	The existence of Small Medium Enterprise (SME) has become a support and has a major influence on Indonesia's economic growth. Furthermore, the general problems and challenges of SMEs in several cities in Indonesia are lack of knowledge and low competitiveness. There were 57.8 million SME practitioners in Indonesia, with employment of 114 million people. Therefore, the purpose of this study was to determine the role of information technology (IT) on knowledge management applied by SME actors in Batam City, Riau Islands, Indonesia. This study involved 30 of 1006 SMEs in the entire city of Batam Kepri, Indonesia with 5 types of businesses including industry, services, trade, fisheries, plantations, agriculture, and livestock. The method used is multiple regression analysis with T-Test and F Model Test. Researchers want to assess the influence of information technology variables through IT knowledge, IT Operations, and IT Infrastructure variables on knowledge management in SME. The results of this study show at the 0.05 level of significance IT knowledge, IT Operations, and IT Infrastructure has a positive and significant effect on knowledge management. The results of the descriptive analysis state that the Acquisition and/or development of knowledge provides the largest contribution in the application of knowledge management for SMEs in Batam City.
Keywords:	IT knowledge, IT operations, IT Infrastructure, Knowledge Management, Small Medium Enterprise
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	THE EFFECTS OF ICT COMPETENCIES AND WEBSITE DESIGN ON E-SERVICE WEB PORTAL INFORMATION QUALITY IN SAUDI UNIVERSITIES
Author:	MOHAMMED AL MASARWEH
Abstract:	The rapid improvement of the Internet over the past two decades has offered immense opportunities to state and private sector organizations to improve their electronic services (e-services), and in Saudi Arabia there has been a major drive to promote e-services provision by universities. This study examines the relationship between information quality for e-service web portals and the factors of ICT competence and website design in Saudi universities using an online survey administered to 1327 undergraduate students from different programs and faculties in six major universities. The main results of this research indicate a significant relationship between information quality and both ICT competencies and website design. Contrary to research expectations, the effect of ICT competencies and website design on information quality did not differ according to program types. Furthermore, the findings confirm that gender moderates the effect of ICT competencies and website design on information quality. Similarly, the findings reveal some differences in the suggested relationships according to the academic level.
Keywords:	E-services, Website design, Web portals, Information quality, ICT competence, Saudi Arabia, Universities.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	PROMOTING SUCCESSFUL KNOWLEDGE MANAGEMENT PROCESSES INTEGRATED INTO INFORMATION TECHNOLOGY IN HIGHER EDUCATION UNIVERSITIES IN IRAQ
Author:	HAYDER SALAH HASHIM, ZAINAB AMIN AL-SULAMI
Abstract:	Knowledge is an important asset in many fields, such as business, health sector and higher education. The incremental concern towards knowledge leads to the formulation of knowledge management (KM). Universities are knowledge-intensive organizations. Knowledge assets should be managed efficiently and effectively to promote the education level and overall performance of universities. Information technology plays vital task in sustaining knowledge management processes, such as acquisition, sharing, conversion and application of knowledge. This study explores the real situation of knowledge management processes. This study also examines related IT systems that could be deployed to support successful KM processes in Basra University, which is used as the case study for higher institutions in Iraq. Quantitative method in the form of a questionnaire survey was used to obtain data from 217 technical employees in Basra University. The findings show weaknesses in the KM processes in Basra University. Basra does not have clear KM processes for acquiring, converting, sharing and applying knowledge. Moreover, an IT system was not integrated with KM processes to create a knowledge management system. This study advocates top management in Basra University to adopt policies for the successful implementation of KM processes with an integrated IT system. This integration could help enhance daily activities in the university, such as teaching, research and administration.
Keywords:	Knowledge Management, Knowledge Management System, Knowledge Management Processes and Information Technology.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	THE EFFECTS OF TECHNOSTRESS ON INFORMATION TECHNOLOGY ACCEPTANCE
Author:	Kyoungjune Kim, Hyunjun Park
Abstract:	Recent information technology is developing rapidly enough to provide new insights beyond human intuition. However, due to incidents such as job loss and privacy invasion, individuals are exposed to stress such as fear and pressure. The stress caused by such information technology may have a negative impact on the acceptance of new technology or productivity, and understanding this in practice is a critical task in modern society. The purpose of this research is to investigate the direct and indirect effects of technostress on the level of the individual in accepting new information technology. We developed a research model with innovation resistance as a mediating variable and conducted empirical analysis through 190 questionnaire responses. As a result, there were influences of the pace of change, reliability, connectivity, and complexity on the characteristics of information technology that induces individual technostress. Also, technostress has been proven to influence the acceptance of information technology only indirectly through innovation resistance. This study will provide meaningful insights and implications for the technostresses and consequences raised in the information system field through innovation resistance.
Keywords:	Technostress, Innovation Resistance, Technology Acceptance, Techno-Strain, P-E Fit theory
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	FINGERPRINTS IDENTIFICATION AND VERIFICATION BASED ON LOCAL DENSITY DISTRIBUTION WITH ROTATION COMPENSATION
Author:	ZAINAB J. AHMED, DR. LOAY E. GEORGE
Abstract:	The fingerprints are the more utilized biometric feature for person identification and verification. The fingerprint is easy to understand compare to another existing biometric type such as voice, face. It is capable to create a very high recognition rate for human recognition. In this paper the geometric rotation transform is applied on fingerprint image to obtain a new level of features to represent the finger characteristics and to use for personal identification; the local features are used for their ability to reflect the statistical behavior of fingerprint variation at fingerprint image. The proposed fingerprint system contains three main stages, they are: (i) preprocessing, (ii) feature extraction, and (iii) matching. The preprocessing stage is accomplished by removing some artifacts in order to ensure high identification rates. The extracted features are collected as a feature vector; then they are used to distinguish different individuals. In the matching stage, the nearest neighbor classifier is used to make recognition decisions. The results for identification of the proposed system indicate high identification performance reach to 100%, while the verification test results indicate error rate 99.88% using FVC2004 databases.
Keywords:	Fingerprints Features, Fingerprints Identification, Fingerprints Verification, Biometric Traits, Biometric Database.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	FORMULATION AND IMPLEMENTATION OF SOCIAL MEDIA STRATEGY FRAMEWORK: A CASE STUDY OF JORDANIAN GOVERNMENT ORGANIZATION
Author:	YACOUB NASEREDDIN, MOHAMMED ALMAIAH, SARA NASEREDDIN
Abstract:	This study aims to formulate a social media strategy framework that appropriate in government organization that has a low interaction rate with public through their social media accounts. The research methods used was qualitative and quantitative on a government organization which has already use social media however the utilization was still low. The process of data collection was done by interview, observation and documents studies. The social media strategy was formulated using framework developed by Karl Werder combined with SWOT analysis, PEST analysis and 7s model. The strategy priority was determined by using AHP analysis. Three stages of social media framework formulation have been identified and the implementation results suggest that the organization need to prioritize the strategies that have the objective to improve the complaint handling and then followed by the strategies related to engagement and awareness.
Keywords:	Social Media Strategy, Social Media Framework, SWOT, AHP
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)
Author:	RAMZI ESMAIL SALAH, LAILATUL QADRI BINTI ZAKARIA
Abstract:	The past decade has witnessed construction of the background information resources to overcome several challenges in text mining tasks. For non-English languages with poor knowledge sources such as Arabic, these challenges have become more salient especially for handling the natural language processing applications that require human annotation. In the Named Entity Recognition (NER) task, several researches have been introduced to address the complexity of Arabic in terms of morphological and syntactical variations. However, there are a small number of studies dealing with Classical Arabic (CA) that is the official language of Quran and Hadith. CA was also used for archiving the Islamic topics that contain a lot of useful information which could of great value if extracted. Therefore, in this paper, we introduce Classical Arabic Named Entity Recognition corpus as a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities. It is freely available and manual annotation by human experts, containing more than 7,000 Hadiths. Based on Islamic topics, we classify named entities into 20 types which include the specific-domain entities that have not been handled before such as Allah, Prophet, Paradise, Hell, and Religion. The differences between the standard and classical Arabic are described in details during this work. Moreover, the comprehensive statistical analysis is introduced to measure the factors that play important role in manual human annotation.
Keywords:	Arabic corpus, Corpus generation, Named entity, Classical Arabic
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	THE STUDY OF NON-SAMPLED AREA IN THE SMALL AREA ESTIMATION USING FAST HIERARCHICAL BAYES METHOD
Author:	KUSMAN SADIK, ANANG KURNIA ANNASTASIA NIKA SUSANTI
Abstract:	Small area estimation is a method that arises as a result of the inability of direct estimator to provide an estimator with high precision when the sample size is inadequate. One of small area estimation methods which is widely used to estimate the poverty indicators is a hierarchical Bayes (HB). Yet, the used of HB method needs an intensive computation and requires a full census of covariates or auxiliary variables while in the fact this condition is difficult to reach. This paper proposed a method as the solution of this matter by using the fast hierarchical Bayes approach (FHB) to estimate the poverty indicators. Nevertheless the other problem arises when some of the areas have no sample unit. Therefore, this paper adding the use of cluster information to estimate the area effect. The simulation study is done in two conditions : (1) all the areas have sample units, (2) some areas have no sample units. The evaluation is based on Absolute Relative Bias (ARB) value, Relative Root Mean Square Error (RRMSE) value, and the computational time. Both of the simulation studies showing that the ARB and RRMSE of FHB and HB method is not significantly different. In terms of the computational time, FHB method consumes very less time than the HB method. Thus, it can be said that the FHB method is more effective to use than the HB method especially when the population size is very large. The application study is done to estimate the FGT poverty indicators of the sub-districs in Bogor Regency. The results show that the FHB method can provides better estimator of poverty indicators than the direct estimator, especially in the non-sampled area by adding the cluster information. It can be seen by the posterior variance of FHB estimator which provided very small variances.
Keywords:	Cluster Information, Non-sampled Area, Fast Hierarchical Bayes,Small Area Estimation, Poverty Indicators
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	SENTIMENT ANALYSIS ARTICLE NEWS COORDINATOR MINISTER OF MARITIME AFFAIRS USING ALGORITHM NAIVE BAYES AND SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION
Author:	NIA KUSUMA WARDHANI, REZKIANI , SIGIT KURNIAWAN , HENDRA SETIAWAN , GRACE GATA , SISWANTO TOHARI , WINDU GATA , MOCHAMAD WAHYUDI
Abstract:	News has become a basic human need along with the development of technology and the internet. The development of technology and the internet is causing the change of publication pages from a print media to the internet. The use of online media today is not only for reading news articles, but also can be used to see the issues that occur can even be used to see the performance of a political figure. The classification of the contents of news articles into a new knowledge that is a negative or positive conclusions about the content of the news contained in a news site. It is possible by using sentiment analysis that is by document classification with text mining. The algorithm used in this research is Naive Bayes and Support Vector Machine with Particle Swarm Optimization. NB has an accuracy value of 89.50% with AUC of 0.500 while the NB PSO obtains an accuracy of 92.00% with AUC of 0.550. SVM has an accuracy value of 87.50% with AUC of 0.979, while SVM PSO has an accuracy value of 90.50% and AUC of 0.975. The best application of optimization in this model is NB PSO can provide solution to the classification problem in this case of sentiment analysis. NB PSO algorithm provides solutions to the analysis of sentiments from the content of various online media news optimally.
Keywords:	Sentiment Analysis, Text Mining, Classification, Naive Bayes, Support Vector Machine, Particle Swarm Optimization, AUC
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	AN EFFICIENT HYBRID MODEL FOR RELIABLE CLASSIFICATION OF HIGH DIMENSIONAL DATA USING K-MEANS CLUSTERING AND BAGGING ENSEMBLE CLASSIFIER
Author:	HAYDER K. FATLAWI ABBAS F. H. ALHARAN NABEEL SALIH ALI
Abstract:	Data mining is playing a significant role in the digital era, and there are traditional techniques to classify, cluster the large data, etc. Today, the variety of data and its size has grown increasingly. Preprocessing of the data impose and need high computational resources due to raising the number of data attributes. Thus, attributes reduction deem a vital and significant part of the data pre-processing due to its ability to reduce the required computational resources. In this study, a hybrid model is proposed to eliminate irrelevant attributes with N number of goodness evaluation metrics by using K-Means Clustering and Bagging Ensemble Classifier. The proposed model was implanted with five different datasets. The model can minimize the number of the attributes up to (70%). Hence, the results with reduction can be increased the efficiency of the classification performance from the computation time standpoint.
Keywords:	k-means clustering, Bagging classification, Attributes reduction
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	PERFORMANCE OF SIGNAL SIMILARITY MEASURES UNDER 1/F NOISE
Author:	ZAINAB H. ALMAHDAWIE, ZAHIR M. HUSSAIN
Abstract:	In this work we present a study on the performance of signal similarity measures under non-Gaussian noise. Pink noise has been considered, with 1/f power spectral density. This kind of noise has been generated by filtering Gaussian noise through an FIR filter. One-dimensional and two-dimensional signals have been considered. We tested 2D image similarity using the well-known similarity measures: Structural Similarity Index Measure (SSIM), modified Feature-based Similarity Measure (MFSIM), and Histogram-based Similarity Measure (HSSIM). Also, we tested 1D similarity measures: Cosine Similarity, Pearson Correlation, Tanimoto similarity, and Angular similarity. Results show that HSSIM and MFSIM outperform SSIM in low PSNR under pink noise and Gaussian noise. For 1D similarity, it is shown that Cosine Similarity and Pearson Correlation outperform other 1D similarity, especially at low SNR.
Keywords:	Gaussian Noise, Pink Noise, FM, SSIM, HSSIM, MFSIM, Image Similarity, Cosine Similarity, Tanimoto Similarity, Angular Similarity, Pearson Coefficient.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	MATCHING ALGORITHMS FOR INTRUSION DETECTION SYSTEM BASED ON DNA ENCODING
Author:	OMAR FITIAN RASHID , ZULAIHA ALI OTHMAN1, SUHAILA ZAINUDIN
Abstract:	Pattern matching algorithms are usually used as detecting process in intrusion detection system. The efficiency of these algorithms is affected by the performance of the intrusion detection system which reflects the requirement of a new investigation in this field. Four matching algorithms and a combined of two algorithms, for intrusion detection system based on new DNA encoding, are applied for evaluation of their achievements. These algorithms are Brute-force algorithm, Boyer-Moore algorithm, Horspool algorithm, Knuth-Morris-Pratt algorithm, and the combined of Boyer-Moore algorithm and Knuth–Morris–Pratt algorithm. The performance of the proposed approach is calculated based on the executed time, where these algorithms are applied on NSL-KDD dataset. The obtained results showed that the average time for matching for all NSL-KDD dataset records, based on Brute-force algorithm, Boyer-Moore algorithm, Horspool algorithm, Knuth-Morris-Pratt algorithm, and the combined of Boyer-Moore algorithm and Knuth–Morris–Pratt algorithm are equal to 18.4, 11.5, 9.23, 7.5, and 23.2 seconds respectively. These results demonstrated that using single algorithm achieved better time than combined algorithms, and Knuth-Morris-Pratt algorithm gives the best result than the rest of the other three algorithms. The results are reasonable and acceptable when they are compared with previous systems.
Keywords:	Intrusion detection, DNA Encoding, Pattern Matching Algorithm, Knuth-Morris-Pratt Algorithm, Boyer-Moore Algorithm
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	A PROACTIVE DATA SECURITY SCHEME OF FILES USING MINHASH TECHNIQUE
Author:	MEHDI EBADY MANAA , RASHA HUSSEIN JWDHA
Abstract:	Data protection becomes an important issue for companies and organizations. Data security is one of the essential issues in the field of networks by synchronizing with the fast development of information technology, which is always seeking service providers to improve them in a way that serves the user and maintains the privacy of his data. It provides the goals of data security, which is confidentiality, availability, integrity. Cryptographic algorithms offer a healthy way for data confidentiality that used by many organizations using mainly two types of symmetric encryption and asymmetric encryption algorithms. The most important way to ensure the strength of the encryption algorithm is to generate the encryption key in robust ways. In this paper, the cryptosystem system is used the principle of the minhash technique to generate a group of keys in an efficient way. The block keys are generated using the k-shingle which is one of the main principles used in the minhash technique to convert the text file into a sequence of consecutive words. The length of shingles depends on the length of k value. The cryptosystem is used many hash functions to generate the cipher keys and then to encrypt text files using AES, DES, 3DES and Blowfish algorithms. The results show promised way to deny the hacker from unauthorized access. The AES and Blowfish algorithms have excellent results regarding encryption time, throughput, memory space, avalanche effect and entropy in term of security.
Keywords:	Algorithms of Cryptography, Minhash Technique, Data Encryption, AES Algorithm, The Blowfish Algorithm.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	EXPERIMENTAL EVALUATION OF QUERY REFORMULATION TECHNIQUES IN THE CONTEXT OF MEDICAL INFORMATION RETRIEVAL
Author:	MOHAMMED MAREE , ISRA NOOR, KHALID RABAYAH
Abstract:	With the proliferation of online medical information, a majority of laypeople (ordinary people with little medical background knowledge) and medical specialists now find the Web an indispensable tool for searching for medical information in various domains of interest. However, when using existing medical search engines, the precision of the retrieved results is governed by two main factors. First, users (be they laypeople or medical professionals) need to submit vocabularies that best describe their information needs. Second, the quality of the returned results is largely based upon the effectiveness of the techniques and medical knowledge resources that are exploited by such search engines. Several systems and approaches have been proposed to address problems associated with each of these factors independently; however, little attention has been paid to cooperatively address problems of both factors. In this article, we aim to investigate the impact of exploiting medical knowledge resources and information retrieval techniques on 1) reformulating medical queries through enriching them with semantically-related medical terms and 2) indexing documents in the medical domain to improve the matching process between the reformulated queries and their corresponding medical documents. A prototype of the proposed system has been instantiated and experimentally validated using CLEF2014 eHealth Dataset and state-of-the-art effectiveness indicators. The produced results by our system demonstrate that the quality of the returned results has improved compared to other similar medical information retrieval systems.
Keywords:	Query Reformulation, Medical Queries, CLEF eHealth Dataset, Medical Knowledge Bases, Precision/Recall Indicators
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	TREE BASED STATIC MULTI HOP LEACH (TBSMH-LEACH) ENERGY EFFICIENT ROUTING PROTOCOL: A NOVEL GRAPH THEORETICAL APPROACH
Author:	NABEEL ZANOON , MOHAMMAD ALFRAHEED , HANUMANTHAPPA .J , EVON ABU-TAIEH
Abstract:	Research on tree based static multi hop leach energy efficient routing protocol focused on efficiency and effectiveness of data dissemination. Furthermore, previous research work on wireless sensor network mainly focused on homogeneous wireless sensor networks where all wireless sensor networks have the same capabilities. It was learnt that homogeneous wireless sensor networks have poor basic performance limits and scalability. To achieve excellent performance, a Heterogeneous Wireless Sensor Network (HWSN) model was deployed. In the present paper a secure and an efficient protocol for HSNs (Homogeneous/Heterogeneous-Tree Based Static Multi hop Leach Energy Efficient Routing Protocol (TBSMH-Leach) is proposed for supporting different kinds of trees such as binary trees or ternary trees, or quadrant trees etc. A tree based static multi hop leach energy efficient routing protocol can be implemented. A novel graph theoretic approach using greedy approach/divide(division) and conquering technique. In this research, an investigation and a comprehensive comparison between three different tree based energy efficient routing protocols such as, binary tree, ternary tree and quad tree is demonstrated . By considering packet loss rate(plr)(packet drop rate)(pdr) and dead hop rate(dhr), results have indicated that quad tree based energy efficient routing is better than ternary and binary tree based static multi hop energy efficient routing protocols for the various rounds from 100 to 1000. By referring the throughput, it is proved that binary based energy efficient routing protocol is better than ternary/quad tree based static multi hop leach energy efficient routing protocol for WSNs, when the number of rounds hikes from 100 to 1000. Finally, the time complexities is computed for best case, average case and worst case, for BTBSMH-LEACH, TTBSMH-LEACH, QTBSMH-Leach is O (n log n).
Keywords:	Binary Tree, Energy Efficient, Multi-Hop, Quad Tree, Static, Ternary Tree.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	MULTI-GROUP ANALYSIS OF FACTORS DETERMINING USER’S COMMITMENT IN MOBILE SOCIAL NETWORK GAMES
Author:	SAE BOM LEE, SEOKHUN KIM
Abstract:	Social Network Game genre is a game in which people connect to each other by utilizing a mobile platform, and interact with each other while enjoying related contents. It has now become a popular game. The purpose of this study is to find significant factors that have effects on the commitment of M-SNGs. We also conduct multi-group comparison test to study the difference in factors of models between 2012 and 2016. We use structural equation model analysis with SmartPLS 3.0 and compare models of different times. This study is to give academicians and practitioners insight about its effects and implications. The results showed that there was a significant difference between the two groups only in the relationship between competition-commitment and social interaction-commitment. This study is to give academicians and practitioners insight about its effects and implications.
Keywords:	Mobile Social Network Game, Commitment, Social Factors, Social-Game Factors, Game Factors
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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Title:	PERFORMANCE COMPARISON BETWEEN BABY-STEP GIANT-STEP METHOD AND POLLARD RHO WITH BRENT CYCLE DETECTION METHOD IN CAUSING TOTAL BREAK TOWARD DIGITAL SIGNATURE ALGORITHM SCHEME
Author:	RULLY SOELAIMAN, MUHAMMAD GHAZIAN
Abstract:	This paper compares the speed of Baby-step Giant-step method and Pollard Rho with Brent Cycle Detection method to cause Total Break, which in turn is used to attack Digital Signature Algorithm i.e. forging a signature. This paper also finds out how the free parameter of Digital Signature Algorithm can affect the performance of the two method. This paper will present an empirical result on how the two method would perform under signature forgery scenario. Furthermore, an analysis of how close both method's performance is presented. Also, this paper provides an analysis regarding how the size of free parameter of DSA may affect the overall performance of the two methods. These analysis can provide useful basis for DSA’s parameter security analysis. Moreover, the result presented in this paper can extend to other discrete logarithm problem.
Keywords:	Cryptography, DSA, Discrete Logarithm, Number Theory, Security
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2018 -- Vol. 96. No. 24 -- 2018
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