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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
April 2019 | Vol. 97 No.08

Title:	THE EFFECTS OF TECHNOLOGY, ORGANISATIONAL, BEHAVIOURAL FACTORS TOWARDS UTILIZATION OF E-GOVERNMENT ADOPTION MODEL BY MODERATING CULTURAL FACTORS
Author:	HOSAM ALDEN RIYADH , SALSABILA AISYAH ALFAIZA , ABDULSATAR ABDULJABBAR SULTAN
Abstract:	In the new knowledge-age economy, which revolutionary changes in science and technology have buttressed, information and knowledge have become critical elements in economic competitiveness and developing countries must engage in more active roles in formulating national policies and strategies promoting an information economy to garner benefits via economic and social growth development. E-Government is believed to play a fundamental role in achieving these ends. This study objective are to examines factors associated with the adoption of B2G e-government in Iraq and to determine the impacts of its adoption on these businesses by examining the effects of technology, organisational, and behavioural factors towards the utilization of the E-Government Adoption Model among Iraqi Business Organizations using moderating cultural factors in a quantitative exploratory approach. The study utilized listed on the Iraq Stock Exchange including banking, insurance, investment, and service and industrial companies, hotels, and corporate communications sectors. The results of hypothesis testing show several significant relationships such as relative advantages, Compatibility, Security, Management Support, Performance Expectancy, Perceived Usefulness on e-government, and Ease of Use by moderating uncertainty to e-government, IT Infrastructure by moderating language on e-government adoption.
Keywords:	Adoption, B2G e-government, model, cultural factors, Iraq
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	SELECTION OF FACTORS AFFECTING WOMENS LOYALTY IN BUYING GOODS IN INDONESIAN E-MARKETPLACES USING THE PROFILE MACHINE METHOD
Author:	LINDA MARLINDA, SRI RUSIYATI, WIRUMA TITIAN ADI, MAISYAROH, RACHMAN KOMARUDIN, AGUS SALIM
Abstract:	Abstract- The use of social media in the field of online marketing has been used by female consumers. In its use found uncomfortable transactions even though vendors have provided good features to reduce risk. This study investigates web site factors that affect consumer loyalty online shopping through social media namely Buyer Loyalty (Business View, Market Service View, Third Party B2B EM Performance, Transaction View, and Infrastructure View) and its attributes Trust (Quality of information, Customer loyalty, Volume trading, Product promotion, Reduction of transaction costs, Consumer characteristics (Free Shipping Costs, Trust in Marketing Makers), Firms characteristics (Functionality and value-added, Reputation, Privacy), Brand Recognition (Likability, Customer satisfaction, Attitude towards online shopping), Quality of Service (Transaction security, Use of the website, Reliability of the website). This study uses an IT-based platform for data collection and collects data from female consumers using the profile machine method. Data analysis by grouping female consumers using online shopping websites based on the attributes they like.
Keywords:	Factors Shopping, Social media, Consumer trust, B2B electronic marketplaces, Multi Criteria atribute, profile machine method, Womens
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	A DETAILED ANALYSIS ON THE USE OF GAMIFICATION IN CLOUD BASED LEARNING MANAGEMENT SYSTEMS
Author:	MUHAMMAD EHSAN RANA, MUHAMMAD AHSAN, WAN NURHAYATI WAN AB RAHMAN
Abstract:	The concept of infusing game elements into non-game applications has been gaining momentum as of lately. In this paper we explore and identify the variables which affect learning experience and how knowing those can help in implementing game mechanics on a Learning Management System (LMS) which is flexible in nature in its operations so that it can be scaled as required using cloud infrastructure. This research tries to assess how, why and where gamification and cloud computing should be best utilized in the context of learning management systems by exploring both existing learning management systems using game mechanics and outlook of how gamification can be used to propel students’ overall learning experience.
Keywords:	Gamification, Learning Management System (LMS), e-Learning, Computer aided instruction, Educational technology, Mobile learning, Cloud platform
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	USING DATA MINING ALGORITHM FOR SENTIMENT ANALYSIS OF USERS OPINIONS ABOUT BITCOIN CRYPTOCURRENCY
Author:	MOHAMMED ALGHOBIRI
Abstract:	Cryptocurrency has turned out to be one of the most significant currencies in the recent times due to their secureness, ease and value. Among the other cryptocurrencies available in the market, Bitcoin cryptocurrency is the most valuable and famous currency. A large number of people discuss about the Bitcoin currency on the internet and social media platforms as well. These discussions help in determining the importance of Bitcoin in terms of users discussions about Bitcoin and can help in determining the value of Bitcoin in terms of people point of views about the topic. In this paper, sentiment analysis of the tweets of users on the topic of Bitcoin has been carried out. For this purpose, real-world twitter data set of Bitcoins is used. The data set has been divided into five separate sections for better comparative analysis, including overall extensive data analysis regarding tweets, retweets, tweets with mentions, tweets containing external links and also about the users who discuss regarding cryptocurrency of Bitcoin. A framework for sentiment analysis is proposed on the basis of Naive Bayes sentiment classification algorithms which is widely used as a better option for text data. The proposed framework is capable to perform sentiment analysis of the tweets data. The results resemble that users opinions are on the high positive side about Bitcoins and people mostly people represent the positive sentiment about Bitcoins. The results are evaluated using the standard performance evaluation measures including precision, recall, f1-score and accuracy.
Keywords:	Sentiment Analysis; Bitcoin; Classification; Naive Bayes; Machine Learning; Proposed Framework; Users Opinions
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	IMAGE WATERMARKING ALGORITHM BASED ON A COMBINATION OF TEXTURE MAPPING AND BIT SUBSTITUTION METHOD
Author:	DUJAN B. TAHA , TAHA BASHEER TAHA , PHAKLEN EHKAN
Abstract:	Watermarking algorithms can be implemented using simple and direct calculations in time domain embedding as replacing the least significant bit (LSB) of the original image pixels, it also can be implemented using more complex but more robust transform domain based embedding by changing coefficients values. In this paper, a new method of using a combination between the transform domain and time domain watermarking is presented by embedding the watermark within the approximation band coefficients of LWT transform. This method will combine the simplicity of time domain watermarking and the high performance of transform domain watermarking. The choice of the coefficient bit in certain image block is based on the amount of texture in that block. The texture amount is calculated using a low complexity texture mapping model. The experimental results shows high quality watermarked images since a small portion of image is used for the embedding process.
Keywords:	Image Processing, ALD, Non-Blind Watermarking, Texture Masking, Copyrights protection.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	BREADTH FIRST BASED SINK MOBILITY MODEL FOR WIRELESS SENSOR NETWORKS
Author:	ANAS ABU TALEB
Abstract:	Many research papers proposed deploying mobile sink node or nodes within a wireless sensor network to collect data from static sensor nodes. Thus, the performance of the wireless sensor network can be improved and its life time can be prolonged. In this paper, a new sink mobility model that is based on the breadth first traversal of a graph is proposed. As a result, the mobile sink will traverse the sensor network and visit static sensor nodes to collect data according to movement paths that are calculated based on the breadth first algorithm. After that, the proposed mobility model is simulated using NS-2 simulator and the performance of the proposed model is studied under different network sizes and speeds. Finally, average end-to-end delay, packet delivery ratio and throughput are the performance parameters used to study and investigate the behavior of the network using the mobility model proposed in this paper.
Keywords:	Wireless sensor networks, Mobility, Models, Performance, Routing
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	ONTOLOGY2RDB FOR STORING ONTOLOGY IN RELATIONAL DATABASE
Author:	RAWAN ABO ZIDAN, MUHAMMAD MAZEN ALMUSTAF, MOHAMMAD TAHAWI
Abstract:	With the large expansion of data volume found on the web the majority of it is stored in relational format which provide maturity, performance, robustness, reliability, and availability but they lack the expressiveness and process-ability of semantic data and ontologies. The semantic web has a significant impact in various domains, which has led to the need of finding a formula for communicating with relational databases. In this paper we present a tool that acts as a bridge between the relational database and semantic data in which we provide a fully automated and effective approach that converts between a populated ontology and a relational database without losing the ontological structure while preserving the knowledge relations between the entities. Finally, we tested this approach to convert a weather ontology into relational database, by converting its ontological constructs to their corresponding entities in relational format, then maps the converted ontology with pre-existed relational database so that it could be queried effectively, as a result we were able to get a relational database with knowledge incorporated relations that was quite descriptive of the stored knowledge.
Keywords:	Relational Database, Semantic Web, Ontology, OWL, WordNet
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	HANDLING OF MISSING DATA FOR E-READINESS INDICATORS
Author:	RABII LAMRIQ, ABDELAZIZ DOUKKALI, NAJIB BELKHATAT
Abstract:	Missing data is one of the main problems associated with composite indicators of electronic readiness (e-readiness), but the way in which these missing values are processed can have a serious impact on the results of e-readiness assessments. The complexity of this problem increases with the number of missing values. However, despite the known limitations on the performance of some missing data processing methods, such as imputation based on the following year’s values or the average of previous years’ values, many composite indices of e-readiness continue to use these methods. The main objective of this article is to improve the estimation of missing data in a dataset used by the Networked Readiness Index (NRI) organisation. In order to improve existing estimates, we establish a predictive model based on multiple linear regressions for each indicator containing missing values. We also use variable selection techniques to choose the best input variables for each model.
Keywords:	E-Readiness, Missing Data, Imputation, Variable Selection, Linear Regression, Composite Indicators.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	A CONCEPTUAL FRAMEWORK OF CRM ADOPTION AMONG PALESTINIAN SMES
Author:	OMAR HASAN SALAH, ZAWIYAH MOHAMMAD YUSOF, HAZURA MOHAMED
Abstract:	Customer relationship management (CRM) is the concept of using process, information, technology, and people to manage the organization’s interactions with customers. SMEs have to implement CRM practices into their business to achieve competitive advantage over its rivals. The adoption rate of CRM among SMEs in developing countries is low due to the absence of some important factors to guide the adoption of CRM. A pilot study was undertaken to investigates the effect of technological, organizational, and environmental factors on CRM adoption in developing countries, specifically in Palestinian SMEs. This study uses a quantitative approach by employing questionnaire to collect data from 35 randomly sampled participants from different managerial levels who were requested to answer questionnaire items online. Out of the 35 questionnaires distributed, 33 were returned and three questionnaires were rejected. The results show that compatibility, IT infrastructure, complexity, relative advantage, security, top Management Support, information policies, employee engagement financial resources, customer pressure and competitive pressure are capable of acting as a predictor for CRM adoption among Palestinian SMEs.
Keywords:	Customer relationship management system, Palestine; small and medium enterprise, Diffusion of Innovation (DOI), Technology–Organization–Environment (TOE), Resource-based View (RBV).
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	A REVIEW OF THE CURRENT TRENDS AND FUTURE DIRECTIONS OF CAMERA BARCODE READING
Author:	NORLIZA KATUK, KU-RUHANA KU MAHAMUD, NUR HARYANI ZAKARIA
Abstract:	Modern mobile phones or smartphones have become a pervasive and affordable device for users at different levels of age around the world. Smartphones equipped with many useful sensors, including camera, barometer, accelerometer, and digital compass. The sensors on smartphones attracted researchers and developers to develop mobile applications (apps) and study the potential use of the sensors to support daily life activities. Unlike other types of sensor, the smartphone camera has been underutilized. Analysis of the literature suggested that smartphone camera mainly serves for personal and social photography. Practically, a smartphone camera can be used as an imaging device for reading a barcode. Although barcode has been used for identifying products and items, the use of a smartphone camera as a reading device has not been explored thoroughly. Further, scholarly resources describing the fundamental knowledge of smartphone camera barcode reading is not available in the literature which could be the reason contributed to slow research progress of the domain. Therefore, this study aims to review the current trends and future directions of smartphone camera for barcode reading. Specifically, the study reviews the literature on the types of applications that are currently available and run on the standard mobile platform for reading a barcode. It also analyzes the necessary components that made up barcode reading apps. Further, the review identifies technical and non-technical issues that are critical for the development of the apps. The contributions of this work are twofold, first, it provides the fundamental knowledge on the building blocks of camera barcode reading apps, and second, it explores the issues in the current camera barcode reading apps that could encourage exploration towards addressing the issues. Practically, the findings could spark new research ideas to address the current issues related to the use of smartphone camera for barcode reading in the near future.
Keywords:	Bar codes, Communication Systems, Mobile Phones, Mobile Telecommunication Systems, Sensors
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	A NOVEL MOBILITY ADAPTIVE ROUTING PROTOCOL FOR MANETS
Author:	YOUNES BEN CHIGRA, ABDERRAHIM GHADI, MOHAMED BOUHORMA
Abstract:	Mobile Ad Hoc network (MANET) is a collection of smart mobile nodes, which form a dynamic and autonomous system. Since mobile nodes are free to move, they cause frequent changes in network topology and decrease the overall network performances. Therefore, the task of finding and maintaining a reliable route constitute the main issue in the design of efficient routing protocol for MANET. In this paper, we introduce a novel Mobility Adaptive AODV routing protocol (MA-AODV), which uses the degree of mobility time variation and the local route repair approach to mitigate the influence of high mobility and improve routing performances. We implemented the MA-AODV on network simulator NS2. Then, we evaluated the performance of MA-AODV and AODV based on node mobility variation such as speed and pause time. The comparison of performance metrics, such as Packet delivery Ratio, Throughput, routing overhead and communication delay demonstrates that MA-AODV outperforms AODV in high mobility environments.
Keywords:	Mobile Ad Hoc Networks (MANET), Adaptive Routing, Mobility, metric, routing performances.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	AN MAIMS ALGORITHM FOR HANDOFF TACTIC IN HETEROGENEOUS WIRELESS NETWORK
Author:	FARAH PATHAN , DR. JAYMIN BHALANI
Abstract:	Wireless communication of users between the heterogeneous networks with multiple access interface services lead to the emergence of most undesirable problem of hand off occurrence. This undesirability in heterogeneous network has its root cause in decision phase, which should be equipped with précised, less latency, congestion free arrangement to mold an eligible network communication. Making this as expectation, Mash-up Analytical Index Multiplicative Sensing (MAIMS) algorithm is framed which makes précised analytical index based parameter selection followed by elimination of uncertainty due to large parameter selection by the actual use of qualitative and consistent unit vector direction, following reduces the latency by the multiplicative process of optimized ranking. The system has then suffered from the congestion, which shatters apt resource utilization making the ranking invaluable due to the off-limit network range. This is thrown away by a threshold-based adjustment in carrier sensing range of this framework. The system had shown improved performance on qualitative network criteria.
Keywords:	MAIMS, F-ANP, VEPSO, Luus-Jaakola, MEW.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	HYBRID FEATURES FOR FINGERPRINT RECOGNITION BASED ON INVARIANT MOMENTS AND GLCM
Author:	WISAM K. JUMMAR , ALI M. SAGHEER
Abstract:	The process of verification of the most important processes in security applications and many applications that are special and depends on the identification of the person to ensure privacy. The process of identifying people is done through several things, but the most important of these are biometrics, where people are distinguished by behavioral characteristics (such as gait, signature, sound) or biologic (such as the fingerprint, iris, and vein print).The fingerprint is one of the most important biometrics in humans, because it does not change and be easy to capture in addition to that the human has many fingers, if a problem got a finger can use another finger. In this research a method was proposed to identify the fingerprint by the texture features. Hybrid properties are used by using invariant moments that extract features from a new proposed model is a double thinning model DTM, and GLCM that extracts features from the binary model. The matching process was performed using the Euclidean distance. The system was tested on a database of 40 people. The results were very impressive above 98%. This research opens the horizon to the use of hybrid properties to identify biometrics.
Keywords:	Fingerprint, DTM, GLCM, Invariant Moments, Recognition, Authentication.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	MULTI STEP AUTOMATIC ORDER FULFILLMENT MODEL IN GENERAL TRADING COMPANY
Author:	PURBA DARU KUSUMA
Abstract:	Purchase order fulfillment is a common activity in many companies, especially in general trading company. Meanwhile, this process is never easy, especially for companies that execute this process manually. Related to it, the most common method in purchase order fulfillment is first come first served (FCFS) model. Although this model is very popular, many companies may face classical problem in matching stock with orders: under supplied or over supplied. Besides that, companies also face other problem in failing order fulfillment. Based on this problem, the objective of this research is proposing new order fulfillment model so that the mismatch between order and fulfillment can be reduced. In this work, we propose three purchase order fulfillment model. In this work, our proposed models are developed by combining several common models, such as: FCFS, smallest quantity, highest price, and bidding models. The hypothesis is that by combining the existing popular FCFS model with other models, this mismatch problem can be reduced. Every model in this work is developed based on multi step fulfillment to explore the advantages of every basic model that is used in it. We use general trading company because in this company type, there is not any raw material in its inventory. Based on the simulation result, our proposed models have better performance in increasing the number of successful transactions than the existing models at the same condition. The proposed FCFS-bidding model performs the best in total revenue aspect. Meanwhile, these three proposed models perform better than the existing FCFS model when the average order quantity is high although this advantage is not significant.
Keywords:	Purchase order, First Come First Served (FCFS), Bidding, Smallest Quantity, Highest Price.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	SEMANTIC VARIANCE MEASUREMENTS FOR EVALUATING SINGLE-DOCUMENT SUMMARIZATION
Author:	EIMAN TAMAH AL-SHAMMARI
Abstract:	This paper proposes a new measurement for evaluating single document summarizers using a novel formulation of Latent Semantic Analysis techniques . Additionally, we introduce a measure to the conceptual coherence of a passage against a document or set of documents, based on singular value decompositions of term-document matrices. The proposed work aims to reflect the coverage concepts in a passage by quantifying the significance of semantic variance of documents and words, per concept in the entire concept space. Our method developed emphasize on completeness, rather than the soundness of a summary. The performance based on the initial tests on a variety of corpus types shows promising results that comply with human evaluation.
Keywords:	LSA, Summarization, Evaluation, Semantic Variance, SVD, Term-document Matrices.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	A NEW FAULT DETECTION SYSTEM USING WIRELESS COMMUNICATION – ASSISTED WITH ANALOG RELAYS FOR GRID ELECTRICAL LAMP POLE NETWORK
Author:	RANJIT SINGH SARBAN SINGH, WONG YAN CHIEW, BALJIT SINGH SARBAN SINGH, MAYSAM ABBOD
Abstract:	This paper explained about the functionality of designed and developed fault detection system for an electrical pole’s components. The proposed system aims to accelerate the maintenance process when any component attached to the electrical pole is detected faulty. Hence, the designing and development of the proposed project includes integrating of a fault sensing circuit, control switching and optimization which derives the complete methodology for the proposed system. The fault sensing circuit provides a HIGH output signal when any failure is detected at any component attached to the system. Tough the HIGH signal is to detect the fault of a component; this HIGH signal also identifies the respective failed component which provide information and analysis of the failed component. Hence, this newly formulated integrated system is consists of a smart microcontroller which simultaneously process a number of signals from the fault sensing circuitry to enable fast fault managing and reduce the outage time. Integrating the fault detection system which performs as fault detection tasks, fault classification and location, the maintenance team can achieve the fault repairing task in shorter time.
Keywords:	Fault Detection System, Fault Sensing Circuit, Continuous Fault Detection, Network Communication System, Fault Detection System
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	A NOVEL SCALE APPROACH FOR LOAD BALANCING WITH HARDWARE AND SOFTWARE IN CLOUD AND IOT PLATFORM
Author:	NARANDER KUMAR, SURENDRA KUMAR
Abstract:	In the current scenarios cloud computing is most talked innovation which offers resources from the extensive server farms. The fundamental motivation behind cloud computing is to enable customers to take the favourable position from these advancements. Cloud computing is made accessible as compensation on interest administration to the customers. Cloud administrations are "pay-per-use" over the web. It has numerous highlights that incorporate estimated administrations, accessibility, security and scalability. Among all the most and energizing component of distributed computing is Scalability which offers the customers the straightforwardness and solace to utilize the resources according to their desires and request. Versatility system could really compare to whatever else. Resources can be scaled in and scaled out when the interest and circumstance emerges that way. It may be static or dynamic in nature. In this paper, we proposed a scalability mechanism for load balancing to recourse management policies in the cloud computing. We check our proposed mechanism with the different parameters likes scalability model, measurement of bad detections, Performance heuristics, Diagnose of the Performance, production area and scalability area. We also make the various comparisons between different kinds of results. After that we simulate the results in the cloudsim and get the optimized results with the help of appropriate examples.
Keywords:	Scalability, Load Balancing, Scale In, Scale Out, Cloud Computing
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	THE PROCEDURE FOR THE DETERMINATION OF STRUCTURAL PARAMETERS OF A CONVOLUTIONAL NEURAL NETWORK TO FINGERPRINT RECOGNITION
Author:	TEREIKOVSKYI I. A., CHERNYSHEV D. O., TEREIKOVSKA L.A., MUSSIRALIYEVA SH. ZH., AKHMED G. ZH.
Abstract:	The article is devoted to improve the efficiency of the system of biometric authentication on the basis of neural network fingerprint recognition. Analysis of modern neural network biometric authentication tools shows that it is possible to increase efficiency by adapting the structural parameters of the convolutional neural network to the peculiarities of the fingerprint recognition problem. The specified parameters include the size of the input field, the number of input and output neurons, number of neurons in fully connected layer, the number of convolutional layers, the number of feature maps in each convolutional layer and others. It is also shown that the main features of the recognition problem are the number of prints to be recognized, the size and quality of scanned images of prints, as well as the number and parameters of minutiae taken into account. A number of principles of adaptation of structural parameters was formed by analogy with the known solutions in the field of neural network recognition of biometric parameters. Based on the proposed principles and the identified features of the fingerprint recognition problem, a corresponding procedure for determining the structural parameters of the convolutional neural network is developed. The efficiency of the developed procedure is proved by numerical experiments, which confirmed the sufficient accuracy of recognition. It is determined that the prospects for further research are to develop a mechanism for optimizing the mathematical apparatus of the convolutional neural network with respect to the conditions of the problem of fingerprint recognition in the biometric authentication system.
Keywords:	Fingerprint Recognition, Biometric Authentication, Minutiae; Convolution Layer, Neural Network
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	A NEW LIGHTWEIGHT FILE FORMAT BASED ON FBX FOR EFFICIENT 3D GRAPHICS RESOURCE PROCESSING
Author:	TAEK-SOO JEONG, YOUNGSIK KIM
Abstract:	The FBX format is one of the most popular graphics formats for 3D graphics games. However, the FBX format contains a lot of information for general use. Thus, when producing real 3D graphics games, it is inefficient in terms of file size and 3D graphics rendering, because the FBX file contents are not used at all. This paper proposed a new lightweight FBX file format based on the conventional FBX format. Using the new FBX format created by extracting only the necessary information, the 3D graphics resource file capacity and loading time are reduced. Using the new FBX file format, this paper reduced the size of resource files by an average of 81% and reduced resource loading time by an average of 51%. This experiment proved its efficiency by comparing it with the pure FBX format under the same conditions.
Keywords:	3D Game, DirectX, FBX Format, 3D Graphics Resource, Loading Time
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	INCREASING THE PERFORMANCE OF SPEECH RECOGNITION SYSTEM BY USING DIFFERENT OPTIMIZATION TECHNIQUES TO REDESIGN ARTIFICIAL NEURAL NETWORK
Author:	SHILPI SHUKLA, MADHU JAIN, R.K. DUBEY
Abstract:	Speech recognition has a high complexity and a broad range of applications, since it has to predict the word under many types of distortions. This paper aims to compare the performance of different optimization techniques like genetic algorithm, particle swarm optimization and artificial bee colony for optimizing the different hidden layers and neurons of the hidden layers of artificial neural network, for maximum speech recognition accuracy. The features of the input speech signals are extracted using amplitude modulation spectrogram. The outcome demonstrates that the accuracy of artificial bee colony is 95.3% and it performs better when compared with the other optimization techniques.
Keywords:	Amplitude Modulation Spectrogram, Artificial Neural Network, Artificial Bee Colony, Speech Signal, Particle Swarm Optimization
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	SMARTPHONE USER AWARENESS OF PERSONAL INFORMATION SECURITY AND PRIVACY
Author:	JAROT S. SUROSO, ANGGA RHYANDA PUTRA, JEANIFER GUNAWAN, DIONISIUS W. DANUANINDITO
Abstract:	The security of information from users of internet services in recent years has become a hot issue that continues to be reviewed, where researchers find that the privacy of personal information is no longer controlled by individual data or information owners but has changed hands to organizations which hold the data or information. In Indonesia alone, the issue of cyber security is certainly closely related to technological growth. In 2018 as many as 83.19% of Indonesia's population are active internet users and as many as 26.26% of Indonesia's population are smartphone users. When viewed positively, the use of technological developments can facilitate data collection so that existing data or information can be reused for interests that can benefit both organizations and individuals. This study aims to find out what factors influence smartphone users to open their personal information and provide access to mobile applications. These factors have been examined previously by Benson et al [1], which consists of 4 factors, namely Control Over Personal Information, Use of Information, and Privacy Notice that affect Information Disclosure, and using questionnaire techniques with 101 respondents. From the results obtained, it was found that the Personal Control Over, Use of Information, and Privacy Notice are the influential factors for individuals to open their information or not. In addition, when users know the function of information that is opened and get privacy notifications in advance, smartphone users will tend to open their personal information and give permissions to either mobile platforms or mobile applications to access personal information.
Keywords:	Smartphone, Control, Use of Information, Privacy Notice, Information Disclosure
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	LTL FORMULA PATTERNS FOR ENHANCING THE PERFORMANCE ANALYSIS OF E-BUSINESS STRUCTURE
Author:	AYMAN MOHAMED MOSTAFA, JABER ALROUDHAN, MOHAMED. M. HASSAN
Abstract:	One of the major significant trends in Internet technology is the use of E-business applications for conducting organizational resources. The structure of E-business applications can enhance the analysis performance based on customer preferences. Model checking analysis and linear temporal logic (LTL) provide formula patterns for obtaining better query of user requirements. These patterns are suitable for infinite traces of customer preferences. In this paper, an enhanced framework of E-business application based on B2C and G2C is presented. A web server log is generated and optimized to record infinite traces of event actions and applying them to a set of finite E-business processes. An enhanced set of mathematical LTL formula patterns are applied to the finite traces on the web server log for enhancing the performance analysis and predicting users’ behavior. To this end, we added new features of linear temporal logic (LTL) for classifying and enhancing the analysis processes and achieving better prediction of real-life event logs. A pattern analysis process is applied to evaluate the presented LTL formula patterns for enhancing the prediction of user behavior in web server event logs.
Keywords:	E-Business, Linear Temporal Logic, Web Server Log, And User Behavior
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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Title:	EFFICIENT APPROACH FOR DETERMINISTIC DATA EXTRAPOLATION FROM A CLEAN PERIODIC FUNCTION WITH PERIODIC COMPONENTS REPRESENTATION BY A SYSTEM OF LINEAR EQUATIONS
Author:	RULLY SOELAIMAN, STEVEN CANDRA, M.M. IRFAN SUBAKTI
Abstract:	Object forecasting has been a tedious task to be solved, such as money currency, stocks, and solar cycle predictions which are proved to be epitomes from objects that can be forecasted from periodic functions’ characteristic. The comparison between an unoptimized approach and an optimized approach to extrapolate a clean periodic function formed from a sum of periodic functions with integral periods has been proposed. Initially, both approaches will be utilized system of linear equations to identify periodic components which will be extracted using arithmetic means from matrix multiplication. The resulting optimized approach will have fewer runtimes, less memory allocation, and larger scope of periods than the unoptimized one. Furthermore, the optimized approach with different implementation will also be discussed to show how the computational technique can impact the efficiency of the solution. Two testing models are involved in this paper: the correctness test by source-code submission to Sphere Online Judge, and the performance test by generating their chart of runtimes and standard deviation. These models have shown that the efficient implementation with optimized approach can be entitled as the first rank solution in Sphere Online Judge.
Keywords:	Matrix-Vector Multiplication, Data Extrapolation, Arithmetic Mean, Periodic Function, Central-Value
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2019 -- Vol. 97. No. 08 -- 2019
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