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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
November 2018 | Vol. 96 No.22

Title:	APPLICATION OF FITNESS SWITCHING GENETIC ALGORITHM FOR SOLVING 0-1 KNAPSACK PROBLEM
Author:	KIM JUN WOO
Abstract:	Fitness switching genetic algorithm is a sort of genetic algorithm, which was initially developed for solving combinatorial optimization problems with rare feasible solutions. Compared to previous genetic algorithms, fitness switching genetic algorithm has three distinguishing procedures including fitness switching, fitness leveling and simple local search, which enable the infeasible solutions to be included within the population. Consequently, fitness switching genetic algorithm can effectively explore the search space of given problem by utilizing infeasible solutions, even if it is difficult to find arbitrary feasible solutions. On the contrary, 0-1 knapsack problem is a well-known combinatorial optimization problem that typically has many feasible solutions, and this paper aims to apply fitness switching genetic algorithm to solve this problem in order to investigate applicability of the algorithm. To this end, fitness switching, fitness leveling and simple local search procedures are tailored to 0-1 knapsack problem, and a revised algorithm structure is proposed. Consequently, this paper demonstrates that combinatorial optimization problems with many feasible solutions also can be solved by applying fitness switching genetic algorithm. Especially, fitness switching genetic algorithm is easy to implement in that it does not require repair or penalization procedures for handling infeasible solutions.
Keywords:	0-1 Knapsack Problem, Genetic Algorithm, Combinatorial Optimization, Metaheuristics, Operations Research
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	WHO THINKS MEMORY MORE VALUABLE IN E-COMMERCE? MATING GOAL PRIMING AND IMPLICIT SELF THEORY
Author:	JUNSIK KWAK
Abstract:	What is the value of memory? If I give you money, can you erase your memories? What would you do if you had to erase your memories after a pleasant vacation? In this study, we examined to see how much people appreciate memories. The results show that the value of memory is different with gender and age. First, People like what they can remember rather than current pleasures. Second, men consider current pleasures than memories over women when priming a mating goal. Third, depending on age and gender, the choice of pleasure and memory is different. As men age, the value of memory decreases. But women are no different. Fourth, Mating Goal priming effect is different according to implicit self-theory. The mating goal priming in a group with incremental theory gives higher value for pleasure than a group with entity group.
Keywords:	Mating goal priming, Implicit self-theory, Value of memory, Gender difference, Online choice.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	CAUSAL DIRECTIONALITY BETWEEN MOBILE PHONE DEPENDENCY AND MOBILE PHONE USE AMONG KOREAN ADOLESCENTS
Author:	JUNG AH CHOI
Abstract:	As adolescents using mobile phone rapidly increase, the associated problems are also reported, one of which is mobile phone dependency. While several cross-sectional studies revealed the associations between mobile phone use and mobile phone dependency, little is known about the causal directions between the two variables. To examine the causality, this study developed and empirically tested a series of autoregressive cross-lagged models where prior mobile phone dependency predicts both subsequent mobile phone dependency and mobile phone use, and vice versa, using longitudinal data. The data of 1,148 adolescent mobile phone users from Korean Children and Youth Panel Survey of Grade 4 students who were followed for 6 years (2010-2015) were analyzed using structural equation modeling. Results suggested that prior mobile phone dependency predicted subsequent mobile phone use, while prior mobile phone use didn’t predict subsequent mobile phone dependency. Empirical evidence was found for mobile phone dependency as a causal precedence to mobile phone use.
Keywords:	Mobile Phone Dependency, Mobile Phone Use, Autoregressive Cross-lagged Model, KCYPS
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	A MIXTURE OF EXPERTS FOR CATARACT DIAGNOSIS IN HOSPITAL SCREENING DATA
Author:	SUNGMIN MYOUNG, HONG-KI LEE
Abstract:	One of the objects of many big-data analytic methods is to search through large amounts of information, analyzing to predict for individual patients. Cataract is a clouding of the lens inside the eye which leads to a decrease in vision, and the most common cause of blindness and is conventionally treated with surgery. It is important to detect the diagnosis early to reduce abstract cataracts develop. Many machine learning and data mining techniques have been suggested to do automatic diagnosis cataract. In this study, mixture of expert method was applied on 126,532 people collected from visiting a health screening center. Mixture of expert was implemented in R 3.4.1 to train the data for the development of the model. The performance of the ME model was evaluated by plotting a ROC curve for the validation of the results. The ME model achieved accuracy rates which were higher than that of the logistic regression model. This research will be applied to an important diagnostic decision mechanism for cataract in health examination subject.
Keywords:	Mixture of Expert, Diagnosis, Cataract, Screening Data, Data Mining
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	A MULTI-LEVEL E-COMMERCE ANOMALY DETECTION MODEL USING OMSVM
Author:	WOONG PARK, HYUNCHUL AHN
Abstract:	In our modern digital society, enterprises have been forced to make rapid changes, called Cloud and Digital Transformation. Maintaining reputation by effectively managing risks and uncertainties pressures enterprises whose readiness cannot afford them. e-Commerce provides enterprise service-based internet platforms. These rapid changes have also manifested in the form of e-Commerce services; there is no doubt that sustaining a stable e-Commerce service is at the core of competitiveness in the coming digital transformation era. However, this involves architectural complexity. Thus we suggest a proactive approach that manages risks based on a machine learning algorithm, called anomaly detection. In particular, we propose a novel anomaly detection model that considers ordinal and multi-class cases that is effective in complex environments. Particularly, we propose OMSVM(Ordinal Multi-class Support Vector Machine) method for a multi-level e-Commerce anomaly detection. We also suggest a practical model evaluation method that exploits hidden information and provides numerical insights. Finally we discuss imbalanced data’s impact on multi-classes and solutions.
Keywords:	Anomaly Detection, E-Commerce, Multi-class Support Vector Machine, Ordinal Pairwise Partitioning, OMSVM
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	A STUDY ON THE RELATIONSHIP BETWEEN BIRTH WEIGHT OF CHILDREN AND ADOLESCENTS WITH DISABILITIES AND THE CURRENT INCIDENCE OF DISEASES IN INFORMATION SYSTEMS
Author:	MYUNG JI JUNG, KWANG OK LEE, EUN SOOK LEE
Abstract:	Against the backdrop of increase in low birth weight babies recently in Korea, this study aimed to examine their health problems after growing up compared to those at the same age born with normal weight and to provide basic data in information systems for preventive measures. Particularly, the study tried to identify the effect of the weight at birth of children and youths with disability on their current health condition in information systems. The study was conducted for 2 months from May 6 to July 16, 2009 with children with disability, and chose 10 schools where teachers and parents gave consent, out of 50% of schools for children with disability selected randomly. Questionnaires were distributed to 2,163 students in elementary, middle, and high schools among children and youth with intellectual, physical, and both intellectual and physical disabilities nationally, and the survey was conducted. Respondents also included 949 parents of those students who agreed to participate. The survey consisted of structured 19 questions. As a dependent variable, the parents were asked to answer whether their children currently had diseases and if so, to name the diseases diagnosed at hospitals. As an independent variable, they were asked to write whether their children were born with low weight and how much they actually weighed at birth. General characteristics of study subjects were analyzed with a technical statistical analysis, and x2 test and one-way ANOVA were applied to variables of general characteristics. The risk rate of diseases related to the birth weight was analyzed using multilevel logistic regression. In conclusion, those born as premature showed a higher risk of disease in school age and puberty and also a higher incidence of heart disease and other diseases than those born with normal weight.
Keywords:	Information Systems, Relationship, Birth Weight, Disability, Incidence Of Disease
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	TOWARDS BETTER BILATERAL POLICY MAKING DECISIONS: INVESTIGATION OF AUSTRALIA-RELATED ISSUES IN KOREAN MEDIA THROUGH KEYWORD ANALYSIS
Author:	HWA JONG KIM, TAE SUNG KIM, HYUK MIN KWON, DAE SEO PARK, ELIZAVETA SREDNIK, KYUNG JIN CHA
Abstract:	Along with the growth of Big Data age, the value of analytics using data is improving and contributes to the new value creation. Moreover, data from news articles becomes important to identify and predict economic activities. Nowadays, a lot of studies are being done using news articles to investigate the economic phenomenon. Present study analyzes which issues have received attention in Korea by using Australian news data reported in Korea. Based on this study we aim to analyze Korea`s perception of Australia and further improve relationship between Korea and Australia by helping to strengthen bilateral policy decisions by using news textual analysis.
Keywords:	Big Data, News Articles, Textual Analysis, Korea, Australia
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	A STUDY OF NEURAL NETWORK BASED IOT DEVICE INFORMATION SECURITY SYSTEM
Author:	SEUNGWON LEE, CHANGBAE MUN, OOK LEE
Abstract:	The development of ubiquitous computing environment has increased interest in IoT (Internet of Things) technology. As IoT has flexible and open characteristics applicable in various fields of industry, increased external accessibility has raised the possibility of external threats. As the existing IoT network was small on scale, there was less risk of security attack. However, continuous IoT development brought the large scale network environment by combining various networks, therefore causing higher risk of security attack compared to small scale network environment. By figuring out the response and implementation time while operating IoT devices to detect intrusion through virus or hacking, the artificial neural network learns various responses using a wide variety of mobile devices. This process may help to deal with current virus and hacking. In addition, by detecting virus and malware in real time, this process may also help to prevent future intrusion. As IoT security risk sharply arises, we suggested an intrusion detection system using artificial neural network model in this study. The system method which is developed in this study can be adjusted to fit various fields and situations of IoT by facilitating flexible modification of critical values. Considering limitations of IoT, the research method which detects anomaly through learning the response and implementation time is expected to be widely used for information security system of various fields which utilize IoT in the future from various angles.
Keywords:	Anomaly, Intrusion Detection, Artificial Neural Network, Information System, IoT, Security System
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	VULNERABILITY ANALYSIS ON THE IMAGE-BASED AUTHENTICATION: THROUGH THE WM_INPUT MESSAGE
Author:	KYUNGROUL LEE, KANGBIN YIM
Abstract:	We verified the exposure of the mouse data using the WM_INPUT message handler that extracts the mouse-inputted data to analyze the vulnerability of the image-based authentication. Consequently, the mouse data were exposed on most of the banking and payment sites of South Korea. Therefore, we proved that the safety of the authentication information is vulnerable, even when image-based authentication is applied.
Keywords:	Vulnerability analysis, Mouse data, Image-based authentication, WM_INPUT message
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	WORKING HOLIDAY IN AUSTRALIA: A SOCIAL-DATA BASED STUDY ON THE CORRELATION BETWEEN PARTICIPANTS’ PERCEPTION AND PARTICIPATION CHANGE
Author:	JUN IL BANG, DEOK JOO LEE, ABIDA SULTANA, KYUNG JIN CHA, HWA JONG KIM
Abstract:	The main purpose of the study is to understand the relationship between people’s perception and participation regarding a future event. The analysis was performed to investigate whether the participation in Australian working holiday program changes due to the change in the perception of the people of Korea. In the research, we utilized time series statistical data and a set of sentiment data collected from a social platform. We used the number of Korean people who entered and exited Australia during the last 10 years and sentiment data from two social blogs, called cafes: 'I Love Australia' and 'Hoggoksung', having registered members of 150,500 and 110,127, respectively. The total numbers of posts were 169,827 and 196,217, respectively. In was found that the change in perception has strong impacts on the number of people participating in the program. We also found that the sentiment data-based prediction is much more effective than the simple numerical data-based prediction.
Keywords:	Big Data, Working Holiday, perception, Sentiment analysis, Australia.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	STATISTICAL ANALYSIS OF IMPACT FACTORS AFFECTING STRATEGIES OF THE VIRTUAL REALITY SERVICE SYSTEMS AND INTERVENING EFFECTS OF PERFORMANCE EXPECTANCY
Author:	YOUNG-HO HWANG, YOO-JIN MOON
Abstract:	The purpose of this paper is to statistically analyze impact factors affecting strategies of the virtual reality systems and to address intervening effects of performance expectancy. The result demonstrates that the main predictors of intention to use virtual reality service systems, in the order of importance, are hedonic motivation, personal innovativeness, social influence and performance expectancy. All intervening effects were significant: interactions between effort expectancy and performance expectancy, between social influence and performance expectancy, between personal innovativeness and performance expectancy, and between hedonic motivation and performance expectancy. It implies that the higher the customer’s performance expectancy, the stronger the impacts of effort expectancy, social influence, personal innovativeness, and hedonic motivation on intention to use the service systems. Based on the statistical results, the paper suggests that consumers should experience the services with enjoyment and get benefits by utilizing them, and so system strategies for virtual reality services should appeal to consumers by positioning the using experience as an adventure or a way to reduce their stress and change a negative mood. Another system design strategy suggested for the virtual reality services is to be reputation-building in order to gain a favorable opinion from referents, and to target the early adopters.
Keywords:	Virtual Reality Service, Performance Expectancy, Hedonic Motivation, Social Influence, Personal Innovativeness
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	ESTIMATION OF CENTRAL NERVOUS SYSTEM ACTIVITY BY DATA MINING NORMAL SINUS-ECG RHYTHMS
Author:	JEONG-HWAN KIM, JEONG-WHAN LEE, KYEONG-SEOP KIM
Abstract:	In this study, we propose a method to assess central nervous system activity in terms of activity-degree in sympathetic and parasympathetic state by estimating the cardiac oscillator-parameters of Integral Pulse Frequency Modulation (IPFM) model in which the artificial heart rhythms are generated by modulating sinusoid signal with applying the threshold level for resolving R-peaks. With this aim, we proposed a modified IPFM model by the empirical method with applying preset-threshold of unity. The artificial R-R interval data are analyzed by the time and frequency-domain features to describe Heart Rate Variability (HRV) under the effects of cardiac oscillator constants. The benchmarking MIT/BIH database consisted of Normal Sinus Electrocardiogram rhythms (NSR-ECG) are utilized to estimate the sympathetic and parasympathetic constants by comparing HRV measures on MIT/BIH NSR with those on the data generated by our modified IPFM model. Based on our experimental results on estimating the modulatory parameters of central nervous system activity, we can conclude that IPFM parameters on the real ECG data can be effectively estimated to assess cardiac-sympathetic and parasympathetic activity.
Keywords:	Electrocardiogram (ECG), Heart Rate Variability (HRV), Integral Pulse Frequency Modulation (IPFM), Autonomic Nervous System (ANS), sinus rhythm, Poincare plot.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	ZERO WATERMARKING SCHEME FOR CITYGML
Author:	DAYOU JIANG, JONGWEON KIM
Abstract:	City Geography Markup Language (CityGML) is developed as an open data model, which is based on the XML format for the storage and exchange of virtual 3D city models. CityGML defines the basic entities, attributes, and relations of a 3D city model. With respect to the cost-effective sustainable maintenance of 3D city models, it allows the reuse of the same data in different application fields. However, the copyright protection in suchlike virtual 3D city filed is not popular. Therefore, we present a zero watermarking scheme based on the global geometry property of the point cloud for CityGML. Firstly, the paper analyzes the data structure of CityGML and discusses the feasibility data for watermark. Secondly, extracts the point and topology information from CityGML. Finally, generates the zero-watermarking by using the global geometry property from vertex norm. We conduct several experiments on CityGML models with translation, rotation, uniform scaling, vertex re-ordering, simplification, smoothing, and noise attacks. Experiments show the scheme can satisfy the requests for copyright protection of CityGML models.
Keywords:	CityGML, Zero Watermarking, Point Cloud, Geometry Property
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	CTQ FOR SERVICE QUALITY MANAGEMENT USING WEB-BASED VOC: WITH FOCUS ON HOTEL BUSINESS
Author:	DONGWON KIM
Abstract:	This study aims to derive CTQ(Critical-to-Quality) for service quality management strategy optimized to the hotel service. In order to derive CTQ, text mining analysis of 46,870 reviews written by foreign visitors covering 20 hotels in Seoul, Korea, is conducted from Jan. 2014 to Jun. 2017. In this study, KJ(Kawakita Jiro) method applied by text mining technique, LDA(Latent Dirichlet Allocation) for topic modeling, is examined and raw VOC data were translated to CTQ characteristics. In addition, the measurement of CTQ is practiced based on sentiment analysis related to keywords from topics in contrast to typical CTQ measurement. Finally, it examined what CTQ measured influences on the hotel business performance through the linear regression.
Keywords:	CTQ, LDA, Sentiment Analysis, Service Quality Management, Text Mining, VOC.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	A STUDY ON THE EDUCATIONAL EFFECT OF MIXED REALITY IMPLEMENTATION EXPERIENCES: FOCUSED ON THE PROGRAMMING TASK VALUE OF ELEMENTARY SCHOOL STUDENTS
Author:	JI-YUN KIM, TAE-WUK LEE
Abstract:	Mixed Reality (MR) is one of promising technologies in the 4th industrial revolution era. The purpose of this study is to let elementary school students experience directly programming of MR implementation and to examine how educationally the task value of programming is effective. To achieve that, 100 elementary school students were divided into an experimental group (50 students) and a control group (50 students), and a preliminary questionnaire survey as pre-test was conducted for homogeneity test. With the same theme, MR implementation programming class was applied to the experimental group and general programming class was applied to the control group, ten times. After the experimental application, the two groups had post-test with the same questionnaire used in pre-test. To find the difference between the two groups, data were analyzed at the significance level of .05. As a result, the experimental group recognized the value of programming tasks more highly than the control group (t=2.009, P=.048). According to the analysis on the change in the programming task value between the groups depending on a class type, the control group recognized the programming task value in the same level as in the one before the class (t=1.446, p=.525), whereas the experimental group more recognized it than before the class (t=-2.327, p=.024).
Keywords:	Mixed Reality, Task Value, Programming Education, Scratch, Webcam
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	IMPLEMENTATION OF NON-INSTALL TYPE DRM SYSTEM TO PREVENT ILLEGAL COPYING OF WEB-BASED MEDIA CONTENT
Author:	KI-BOK NAM, KOO-ROCK PARK, JOON-YOUNG KIM, YOUNG-SUK CHUNG
Abstract:	With the development of IT technology today, many media content services are being used, and there are cases where they have to use both online and offline depending on the service type. However, there are various difficulties due to illegal distribution of content. In this paper, we study DRM (Digital Right Management) method which can run on a web browser that supports HTML5, which does not need to be installed separately, in order to prevent illegal distribution of media content. The existing DRM method is expensive, and since the encryption algorithm is not standardized even when it is operated off-line, it is difficult to use since a dedicated DRM viewer for each installation type have to be installed. To solve this problem, this paper proposes and implements a new DRM system using base64, an encrypted media source file, which can be used without installing separately in a web browser supporting HTML5.
Keywords:	DRM, AES256, Base64, BLOB, Javascript
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	DEVELOPMENT OF EDUCATIONAL MATERIALS USING PREZI AS DIGITAL STORYTELLING TOOL
Author:	HYERYEONG SHIM, SUNJOONG LEE
Abstract:	This study seeks new methods for developing educational materials using web-based multimedia tools in Korean language education. For this purpose, this study focuses on ‘Prezi’, a presentation tool which enables storytelling approaches. ‘Prezi’ is a cloud-based presentation tool, which features the interface that shifts pages using zoom-in effect. It breaks from the usual two-dimensional presentation to a more effective presentation with dynamic screen composition using space movement. Moreover, ‘Prezi’ enables a more comfortable visualization of digital storytelling. Digital storytelling allows nonlinear writing using the flexibility of the media, and anyone can become a director with the development of various multimedia technology. Moreover, the barrier between creators and audiences collapses and everyone can become participants of the contents due to the same digital media they share that allows networking. ‘Prezi’ presents the aforementioned advantages of digital storytelling and the advantages can be integrated in education by using ‘Prezi’ to develop educational materials. Even more, ‘Prezi’ can be utilized anywhere connected through the internet, and various people can access the educational materials by sharing URLs. This study will show the process and system of developing web/computer-based educational materials using ‘Prezi’ and will also present its actuality as e-learning material.
Keywords:	Teaching Materials, Prezi, Online, Multimedia, Digital Storytelling, Korean Language Education
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	AN ANALYSIS ON INFLUENCE FACTORS OF LOCAL RESIDENTS LIFE SATISFACTION IN INFORMATION SYSTEMS
Author:	MYUNG JI JUNG, KWANG OK LEE
Abstract:	Objective: This study intended to grasp the influence factors on local residents’ life satisfaction in Korea in information systems. Method: This study set 263 person, who completed their responses to the life satisfaction survey questionnaire by participating in a local festival held in October, 2015 at a city, Chungnam Province, as its research subjects. The survey questionnaire was developed by this research group by referring to preceding researches, together with the interview with the subjects conducted by trained students of a nursing college and this research group. This study conducted Chi-square analysis and multi-regression analysis to verify the hypothesis that the higher the objective, social factors, i.e. education level and household income, the more cases where one lives with his/her spouse, and the better one’s subjective health condition, the higher the life satisfaction will be. Result: In multi-regression analysis with life satisfaction as a dependent variable, the educational level, household income, and subjective health condition were found to be the variables having something to do with life satisfaction in a state where related factors were controlled. In addition, it was found that the higher the educational level and household income, the higher the life satisfaction, and that the better the subjective health condition, the higher the life satisfaction. The analysis result in information systems showed that the family income and subjective health condition were found to be the highest with R =0.041, respectively among the variables, followed by the educational level with R =0.021, and marital status with R =0.006. Conclusion: Resultantly, the hypothesis set by this study was verified as true. It was found that the demographic factors such as an educational level and economic level, etc., and subjective health condition have an influence on life satisfaction in an area of our country.
Keywords:	Analysis, Influence factor, residents life, satisfaction, Information systems
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	MODELING OF CRIME PREVENTION SYSTEM USING LOCATION-BASED SERVICE
Author:	SANG-HYOCK PARK, KOO-RARK PARK, JOON-YONG KIM
Abstract:	In modern society, smartphone has become one of the most important means that is not separable from our actual life. Nowadays, we are able to be easily introduced to people of the opposite sex through mobile social dating apps. Mobile social dating apps are advantageous in that they allow us to be easily introduced to people of the opposite sex whereas they are disadvantageous in that they are vulnerable to exposure to crime since they do not feature a function that would provide users with an opportunity to go on an actual date. In this thesis, the major mobile social dating apps in Korea were analyzed, and a system that can be used to manage the actual dating phase serving as the vulnerability among these apps was designed and implemented. This system was implemented so that, once users use the GPS location-based service to confirm other users’ location and save their dating information, dating location and dating time, it saves such information to database, and, thereby, allows users to record and manage their dating phase. As a result of implementing and testing this system proposed in this thesis, it was found that users felt less insecure about their dating phase, and that this system may have an influence on crime prevention.
Keywords:	Location Based Service, Social Dating, Couple Matching, Mobile Application, GPS
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	A STUDY ON PROGRAMMING EDUCATION TO DEVELOP SUSTAINABLE INTEREST
Author:	SEONGKYUN JEON, EUNKYOUNG LEE, YOUNGJUN LEE
Abstract:	Programming education is considered a primary area aiding the development of computational thinking, an essential 21st century competency. To verify the effects of computer education, we must create well-designed learning environments along with strategies to develop learner’s interests and computational thinking. This study developed a programming education program based on design principles to promote and maintain students’ interest in learning; the program’s effects were then verified. The results of our study show that our programming education program positively effects students’ interest in learning.
Keywords:	Programming Education, Interest, Computational Thinking
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	IMPLEMENTATION OF INDIVIDUAL CUSTOMIZED NEWS NOTIFICATION MODEL WITH WEB CRAWLING
Author:	KYOUNG-ROCK CHUNG, KOO-RACK PARK, SEONG-HYUN PARK, YOUNG-SUK CHUNG
Abstract:	In modern society, there are many news media that cannot be compared with the past because the news is made and reproduced by individual social media besides the official press. For example, newspapers were issued once a day to receive new news every day in the past. Now, with the development of information and communication technology, it is possible to check newspaper news in real time using PC and mobile internet, so that it can receive information anytime and anywhere quickly. In modern times, it is possible to see the news quickly through many media, but there are many articles that disappear without being aware of anything other than important events for a long time. If the event you are interested in is always in the news, you can keep track of all the events, but if a larger, more exciting new article is treated as a news story, you will not see an article about what happened afterwards It is also missed. Many of the most recent events have been reported in so many news stories, but there are many cases in which the truth or progress of the event is not revealed as important as it was when the first event occurred. In this paper, to solve these problems, we implemented a notification function that informs the news information of the individual keywords to the mobile application by constantly observing the news using the crawling technology.
Keywords:	NEWS, Database, Web crawling, Web scraping, Information retrieval.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	A TECHNOLOGY-INTEGRATED STORYTELLING METHOD IN DEVELOPING SYLLABUS DESIGN FOR UNIVERSITY WRITING EDUCATION
Author:	HWA-SEON KIM, KYEONG-OUK JEONG
Abstract:	The purpose of this study is to develop syllabus design for university writing education. To invent the architype of university writing instruction for the curricular sequence, a technology-integrated storytelling method was implemented. With the current development of digital technology, more and more people are interconnected through storytelling to each other through various social media or social networks. In the field of education, storytelling has been considered as an effective instructional method that can provide students with entertainment, promote learner motivation, and help students focus on their own learning process. In the recent educational milieu based on constructivism, learner responsibility and learner autonomy become much more crucial than those of the teacher. This phenomenon has reflected the essential concept that the main character of learning is the learner, not the teacher. Owing to the development in technologies, technology-enhanced instructional methods such as flipped learning or blended learning have also become the new educational trends. Consequently, the notion of technology-integrated storytelling method based on learner-centered perspectives becomes more significant than ever, and various online platforms can be served as a powerful network to share stories among people. In this regard, the storytelling instructional method with technology integration can wonderfully match the learner-centered pedagogical approach. In this study, the architype of syllabus will be designed using the technology-integrated storytelling method in university writing education. Learning and teaching strategies will be suggested with the use of technology-integrated storytelling teaching method.
Keywords:	Storytelling Method, Technology-enhanced Learning, Syllabus Design, Writing Education, Learner-centered Learning
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	EFFICIENT GROUP KEY DISTRIBUTION SCHEME IN NVR
Author:	GUN-WOOK CHOI, YONG-WOON HWANG, IM-YEONG LEE
Abstract:	NVR is a network video surveillance system that can be used in the Internet environment. Through the system, the user can acquire image information remotely and use it for various purposes. However, when cameras connected to the network or not connected to the network are connected to the Internet, security problems such as unauthorized access and leakage of image information occur. Therefore, this paper can solve various threats effectively by encrypting image information generated in IP CCTV through symmetric key group key management.
Keywords:	IP CCTV, Group Key Management, Authentication, NVR
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	EFFICIENT GROUP AUTHENTICATION AND KEY EXCHANGE SCHEME FOR IOT ENVIRONMENT
Author:	DAE-HWI LEE, IM-YEONG LEE
Abstract:	User authentication verifies that a user is a legitimate user. Such security is essential. As the Internet of Things (IoT) continues to develop, user authentication has become critical. In an IoT environment, many interconnected devices share data. Such devices can form small or large groups and communicate with outside groups. With a group, a leader communicates with followers such as smart devices. If a group is large, the group leader incurs a very large operation overhead in terms of secure communication. When multiple devices request simultaneous communication, many sessions must be authenticated, and keys provided. Here, we propose an XOR-based group authentication technique enabling group leaders to perform authentication and key exchange very quickly, and a CRT-based group authentication technique that can be used when data are less distributed.
Keywords:	IoT, Group-based Communication, Group Authentication, AKE, Key Exchange.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	ANALYSIS ON PREDICTING CYBERTERRORISM USING AHP (ANALYTICAL HIERARCHY PROCESS) METHOD
Author:	LUTHFI FEBRIANSYAH, IMAM RIADI
Abstract:	This research aims to develop the steps used in mobile forensic based on the previous cases by using EWS (Early Warning System) to gather useful information about radical beliefs which will be transfered into intelligence product. The process of this research began by making a case simulation, which contains illustrations of the case that had happened and had been followed up by the Police. Furthermore, the afformentioned case featured some evidences and one of them is digital evidence which can be used to gain more information from the followed up case so that information could be used to monitor the connection between similar cases.The analytical method used is AHP (Analytical Hierarchy Process) which is a method used to analyze the suspect’s acquired Smartphone to search some contacts from the Whatsapp Messenger using these criteria: frequent or high intensity with the suspect, contact, or individual or group that had not yet inputted to the ISIS symphatizer list or the list of radical groups (database), the existence of documents or information which lead to ISIS movement or radical groups that lean towards terrorism. The result obtained from this research is that Early Warning System, in predicting Cyberterrorism, could use AHP (Analytical Hierarchy Process) method by doing these steps: determining criteria, weighing which is adjusted to its importance, deciding on alternatives to get new targets from on-going case and also based on analysis results and tests.
Keywords:	Cyberterrorism, AHP, Digital Evidence, case simulation.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	GROUP FORMATION METHOD THROUGH HEURISTICS ALGORITHM
Author:	OKTARIANI NURUL PRATIWI, BUDI RAHARDJO, SUHONO HARSO SUPANGKAT
Abstract:	Cooperative learning is an approach of learning that work together in small group to achieve goal together. This method has proven can increase student ability, confident and communication skill. One method of cooperative learning is Jigsaw method. Jigsaw method requires formation in heterogeneous groups, but remains homogeneous between groups. Unfortunately, determination of appropriate group formation according to the method is difficult, especially if the number of students is large. Therefore, this research attempts to propose an algorithm to set heterogeneous group formation of student properly. The right formation can encourage students to learn optimally and able to improve students' understanding well. In this study, the process of grouping students based on student dissimilarity. This paper contributes a group formation algorithm with the Centered-Optimization approach. For comparison, in this study the Centered-Optimization algorithms compared to Centered-Random algorithms. As result, the Centered-Optimization algorithm can provide the highest heterogeneous fitness value. Based on ANOVA Univariate analysis, the fitness value of fixed-root-optimization algorithm is significantly different from the two comparison algorithms.
Keywords:	Cooperative learning tools, computer science education, e-learning, group formation,
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	IT SUPPORT IN DECISION-MAKING WITH REGARD TO INFRA-RED GRAIN DRYING MANAGEMENT
Author:	LAKHNO V., 1KASATKIN D., BURIACHOK V., PALEKHA Y., SAIKO V. DOMRACHEV V.
Abstract:	The work is devoted to information support of grain infrared drying, on the basis of a rational choice of the process temperature and computer control. The model is developed and the original system of differential equations for double and single inlet of heat from the infrared source. Implemented into software a system of information support of infrared drying grain, with user-friendly interface, intuitive control components, as well as the presentation of the forecast and the resulting information. Experimental studies of the influence of various parameters of the information support system for infrared grain drying on heat exchange and evaporation of moisture in a drying chamber were performed. The evaluation of various options for using the module of information support systems for infrared grain drying was carried out.
Keywords:	information technology, grain drying, infrared radiation, management, decision support.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	QUERYING RDF DATA
Author:	ATTA-UR-RAHMAN, FAHD ABDULSALAM ALHAIDARI
Abstract:	Resource Description Framework (RDF) is a data model to represent and store the web contents and their association in the form of a graph. This will enable the web (semantic web) to answer queries in a meaningful way as compared to the current web of keyword locator. Querying is required to retrieve any information from the semantic web (RDF data). In this context several algorithms have been proposed which can be classified in different categories. There are mainly two ways to query RDF data, one ‘on the fly’ and the other is ‘index query’. The indexing method requires lot of offline work on RDF data to make the query run faster over it but at the cost of increased space. On the other hand, the ‘on the fly query’ algorithms’ takes more time to execute. In this research, an algorithm with reduced time and space complexity is proposed. The data graph is being stored in an Adjacency Matrix and Adjacency List. Our algorithm tries to match the query graph with the data graph (graph pattern matching) with lesser cost. By comparing the results, it is observed that proposed technique’s results are more accurate with reduced complexity.
Keywords:	RDF, Graph Data Query, Semantic Web
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	TRACKING COMMUNITY MOTIVATION TO USE ONLINE SOCIAL NETWORKS: A CASE STUDY OF FACEBOOK
Author:	IMANE EL HAOUTA, ABDELOUAHAB IDELHADJ
Abstract:	Most people use the social network in their day to day life. In fact, social networking has become central in the era of globalization. Facebook (FB) is a great illustration of this phenomenon as its popularity has increased tremendously in the last couple of years. It has become an essential tool for connecting people and creating different kinds of interactions. In our study, we aim to explore people’s motivations for using an online social network among a sample of FB users in Morocco (N=355). It investigated how eight motivations to use FB predicted the intensity of Facebook use (IFU). The results demonstrate that the motivation to use FB for checking and posting status updates is the major predictor of IFU. Findings are discussed in term of helping to build a better knowledge of social networks and their user's behaviors as expanding motivations to use Facebook.
Keywords:	Facebook, Motivation, Intensity of Facebook Use, Social Networking Sites, Morocco
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	ANALYSIS OF ACCOUNTING INFORMATION SYSTEMS WITH NON-LINEAR SEM-PLS
Author:	MOCH BISYRI EFFENDI
Abstract:	The purpose of this research is to analyse the impact of accounting information system, quality of accounting information system and service quality dimension of accounting information system to customer satisfaction of mobile banking application user (E-satisfaction). The population in this study are conventional bank customers located in Surabaya, Indonesia. The samples are bank customers who use mobile banking based applications. The method of analysis in this study using non-linear Equation Modeling Partial Least Square (NL-SEMPLS) with the help of WarpPls 5.0 software. NL-SEMPLS analysis is divided into 2 stages, namely, outer model and inner model. Outer model is used to analyse the validity and reliability of the indicator of the latent variable, while the Inner model is used to analyse the significance of the path / test of influence between the latent variables. The results showed that Reliable (RE), Responsiveness (RES), Assurance (AS) and Empathy (E) were able to measure the quality of accounting information system services. The best indicator to measure the quality of accounting information system services is Responsiveness (RES). The results showed that the accounting information system, the quality of accounting information system and the quality of accounting information system services affect the customer satisfaction of mobile banking application users (E-satisfaction). The most influential factor on customer satisfaction of mobile banking application user (E-satisfaction) is Quality of Information System Services (QISS) that is Responsiveness (RES). It can be concluded that customer satisfaction of mobile banking application user (E-satisfaction) is the effectivity of mobile banking applications that can provide quick and precise response when conducting transactions (RES2).
Keywords:	Accounting Information System, E-Satisfaction, Mobile Banking, SEM-PLS
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR POWER TRANSFORMER PEAK LOAD PREDICTION
Author:	RAMADONI SYAHPUTRA, FEBRIAN DHIMAS SYAHFITRA, INDAH SOESANTI
Abstract:	Planning an electric power system is a very important task for electric power providers. Good and measurable planning will make the operation of the electric power system good, stable and highly reliable. One part of planning an electric power system is the forecast of future loads. Load estimates must be made as early as possible. The purpose of the peak load prediction is to anticipate the growth of the load in the future, so that the electricity provider company is ready with the condition of the electricity load that will occur in the next few years, where as long as this has not been done in many substations in Indonesia. In this study, a backpropagation neural network method for power transformers peak load forecasting has been proposed. The choice of backpropagation type is better accuracy of results than other types of neural networks. The case study of this study was Bumiayu Substation located in Brebes district, Central Java province, Indonesia. The parameters that are taken into account in electricity load forecasting are population growth data, Gross Regional Domestic Product (GRDP), and the data of peak load history of the Bumiayu substation. The results of the study have shown that the estimated electricity load in the next 10 years can still be served by two power transformers installed in Bumiayu Substation.
Keywords:	Artificial Neural Network, Backpropagation, Peak Load Prediction, Power Transformer, Substation.
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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Title:	MEASURING THE SUCCESS OF E-GOVERNMENT SYSTEMS: APPLYING THE SUCCESS MODEL OF THE DELONE AND MCLEAN INFORMATION SYSTEM
Author:	ZAINAB AMIN AL-SULAMI, HAYDER SALAH HASHIM
Abstract:	The success model of an information system from an Iraqi citizen’s perspective was utilized to examine the e-government system in developing countries, exclusively in Iraq's environment. Partial Least Square path modeling algorithm was applied as a fundamental technique to analyze the collected data using a questionnaire of 160 citizens in Iraq. The proposed model was developed by modifying the updated DeLone and McLean IS success model. The proposed model consisting of the previous six constructs from the updated D&M model was integrated with trust constructs. Results empirically corroborate that ten hypotheses among the seven constructs are supported significantly, whereas the other three are less supported. Model constructs are affirmed to affect the citizen intention and satisfaction positively. The impact gradually decreases from trust as the highest influence constructs, followed by service, system, and information qualities. Trust is confirmed as the main powerful construct that positively influences the Iraqi citizen’s usage intentions. The managerial implications of these research results contend that the Iraqi government agencies, along with the system developers, must pay extra attention to the proposed model constructs that influence the citizen’s intention to use an e-government system, specifically the construct of citizen trust.
Keywords:	e-government system, success model of DeLone and McLean, citizen trust, Iraqi citizens,
Source:	Journal of Theoretical and Applied Information Technology 30^th Novembber 2018 -- Vol. 96. No. 22 -- 2018
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