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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.23

Title:	LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
Author:	LWAY FAISALABDULRAZAK, FAHAD LAYTH MALALLAH
Abstract:	This paper reveals a detailed modeling and simulation of active transceiver with elliptical polarization. Simplifying the complexity of merging these components: amplifiers, coupler, patch antenna and power divider using ADS (Advanced Digital System) software to have a system operates at 2.4GHz with less than -11dB return loss. By connecting the proposed transceiver components, it was found that antenna bandwidth was varying from 60o to 70o for both H and E plan. While a 3dB extra power was the gain of designed Active Transceiver above the Passive one.
Keywords:	Active Integrated Transceiver, Elliptically Polarization, 2.4ghz Frequency Band, Wireless, Parasite Components
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	ARTIFICIAL NEURAL ‎NETWORK FOR MIX ‎PROPORTIONING OPTIMIZATION OF ‎REACTIVE POWDER ‎CONCRETE‎
Author:	AMER HASAN TAHER, LAYTH A. AL-JABERI, AHMED MANCY MOSA
Abstract:	This work aims to optimize the mix proportions of Reactive Powder Concrete (RPC) mixtures by Artificial Neural Networks (ANN) technique. Ninety-nine sets of RPC mixes with their results from six different sources are used to check the reliability of the model. The values of compressive strength (Fc), Splitting Tensile Strength (Fsp) and Flexural strength (Fr) were specified as the input parameters. The values of sand to powder ratio (S\P), water to powder ratio (W\P) and volume of steel fiber (Vf) are computed and specified as the output parameters. (Fc) model with an architecture Multi Layers Perceptron (MLP) 3-40-1 had (0.95) training performance, (0.4%) training error, (0.93) testing performance and (0.4%) testing error. Fsp model with MLP 4-13-1 has (0.99) training performance, (0.014%) training error, (0.99) testing performance and (0.011%) testing errors. The primary predicting model has the architecture MLP 3-14-3. It also has training performance, training error, testing performance and testing error values of (0.96), (0.8%), (0.93), and (1.2%) respectively. All of the ANN models show very good percentages of correlation between target and output values with very low values of error, and high percentage of matching between targets and outputs, and no clear trend to overestimation or underestimation.
Keywords:	Neural Network, Flexural Strength, Reactive Powder Concrete, Tensile Strength, Optimization
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	FACTOR AFFECTING THE IMPLEMENTATION BENEFIT OF ENTERPRISE RESOURCE PLANNING SYSTEM USING MODIFIED DELONE AND MCLEAN INFORMATION SYSTEM SUCCESS MODEL
Author:	ARIYA EKA WIRAWAN, TOGAR ALAM NAPITUPULU
Abstract:	Investment Holding Enterprises Group (PTMD Group) is a company engaged in the business investment of various business portfolios. The Company has implemented Enterprise Resource Planning (ERP) since 2010 to support its business operations and consolidated financial reporting. The Company has implemented Enterprise Resource Planning (ERP) since 2010 to support its business operations and consolidated financial reporting. After go Live ERP, there is a increasing of audit findings from year to year both audit financial reports generated by ERP and IT audits related to internal control of ERP systems that impact on data integrity of ERP systems. The accuracy of financial statements or data integrity generated by the system is needed to as a basis for strategic decision making business quickly and appropriately by management in order to become more competitive company [1]. This case study aims to determine whether the implementation of the ERP system has provided benefits to the business through the identification of factors affecting the implementation of the ERP system. Through the development of modification model DeLone & McLean which this model to review the success of information systems. The results of these reviews resulted in an understanding of factors related to dimension factors that can measure the success of information systems and be an alternative solution to improve the ERP system. Through analysis of regression statistic test based on SEM (Structural Equation Model) model through data processing research derived from the questionnaire with the number of 97 respondents then the conclusion of the results of this study include that the system use factor is influenced by the quality system, user satisfaction factor is influenced by system quality, net benefit factor are influenced by information quality, system use, and user satisfaction in the PTMD Group. The contribution of this research was performed by evaluation process both for quality of ERP system and IT support team based on result of the research. In the other hand, the service quality had been re-reviewed to optimize IT support benefit.
Keywords:	ERP System, Information System Success Model, DeLone & McLean Model Dimensions, SEM
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	ANALYSIS OF FACTORS AFFECTING INTENTION TO USE INFORMATION SYSTEMS ON THE ACQUISITION AND CLASSIFICATION OF CERVICAL CANCER IMAGE
Author:	DWIZA RIANA, DIAH PUSPITASARI, AMIN NUR RAIS, AHMAD FAUZI, DWI SANDINI, ACHMAD NIZAR HIDAYANTO
Abstract:	The use of ICT for health is known as e-health. Information System on the Acquisition and Classification of Cervical Cancer Image (ISAC) is one of e-health built on the basis of research in the field of cervical cancer image. Before applying ISAC, we need to analyze to see the readiness of user acceptance and adaptation so that it can be implemented optimally. This study aims to prove the main factors affecting the user intention to use SIPK on the basis of a combined model of the theory of planned behavior and the technology acceptance. The model testing in this research was done by using SPSS software. The result of this research obtained the factors influencing user acceptance in using ISAC as well as recommendation as an effort for improvement. These factors are perceived service availability which significantly influenced perceived ease of use, perceived ease of use which significantly influenced perceived usefulness, perceived ease of use that significantly influenced attitude toward using technology, perceived usefulness that significantly influenced attitude toward using technology, and attitude toward using technology significantly influencing behavioral intention to use.
Keywords:	Perceived Service Availability, Perceived Ease Of Use, Perceived Usefulness, Attitude Toward Using Technology, Behavioral Intention To Use.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	DATA MINING TECHNIQUES FOR DATABASE PREDICTION: STARTING POINT
Author:	WAEL SAID , M.M. Hassan , AMIRA M. FAWZY
Abstract:	With more evolution in technology, the database increased and came more complex and huge. Also, the search process in these data became complicated and takes a lot of time to reach valuable information. So, we need to an intelligent tool to deal with this problem. Data mining techniques can a solution to this problem. It is point out excavating knowledge from massive amounts of data. Techniques of data mining used in many fields such as pattern recognition and recommender systems here used within a database to improve the search process. This research displays different data mining techniques (decision tree, association rule, a neural network, fuzzy set ...) and shows cases of data mining techniques combined with a database. This paper directed to help new researchers take an overview of data mining techniques that can use in database prediction to enhance the search process.
Keywords:	Data Mining, Prediction Methods, Classification, Cluster, Database.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	REVIEW OF RECENT TECHNIQUES FOR EXTRACTIVE TEXT SUMMARIZATION
Author:	AHMED ELREFAIY, AHMED RAFAT ABAS, IBRAHIM ELHENAWY
Abstract:	In the view of a significant increase in the burden of information over and over the limit by the amount of information available on the internet, there is a huge increase in the amount of information overloading and redundancy contained in each document. Extracting important information in a summarized format would help a number of users. It is therefore necessary to have proper and properly prepared summaries. Subsequently, many research papers are proposed continuously to develop new approaches to automatically summarize the text. “Automatic Text Summarization” is a process to create a shorter version of the original text (one or more documents) which conveys information present in the documents. In general, the summary of the text can be categorized into two types: Extractive-based and Abstractive-based. Abstractive-based methods are very complicated as they need to address a huge-scale natural language. Therefore, research communities are focusing on extractive summaries, attempting to achieve more consistent, non-recurring and meaningful summaries. This review provides an elaborative survey of extractive text summarization techniques. Specifically, it focuses on unsupervised techniques, providing recent efforts and advances on them and list their strengths and weaknesses points in a comparative tabular manner. In addition, this review highlights efforts made in the evaluation techniques of the summaries and finally deduces some possible future trends.
Keywords:	Extractive Text Summarization - Summarization Review - Artificial Intelligence - Information Retrieval - Natural Language Processing
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	DESIGN OF MULTIBAND MATCHED BAND-STOP FILTER USING T-SHAPE RESONATOR NETWORK SYSTEM
Author:	NORNIKMAN HASSAN, MOHD KHAIRY ISMAIL, BADRUL HISHAM AHMAD, ZAHRILADHA ZAKARIA, NURUL SYAHIRA NORDIN, MOHD KHAIRY ZAHARI, MOHD FAREQ ABDUL MALEK
Abstract:	Wireless communication system is a system that transfer information among two or more points that are not connected by an electrical conductor while microwave filter is the elementary element in each radio frequency (RF) front-end telecommunication structure, moreover as band reject or band select components for transceivers and receivers. In designing a complicated wireless communication system or any other system that is working at microwave frequencies, noise is one of the big challenges. One of the techniques that can be used to avoid noise, or any other interference signal is by applying filtering techniques. For microwave communication front-end system, a band-stop filter can separate frequency band positioned inside a wide-ranging pass-band. Firstly, a single-band matched band-stop filter using T-shape resonator. Two different design had been done at 1.0 GHz and 1.5 GHz with S21 center frequency at – 16.063 dB and – 14.059 dB, respectively. Then, the combination of the multiband matched band-stop filter using T-shape resonator will be design at center frequencies of 1.0 GHz and 1.5 GHz with two S21 center frequency at – 16.281 dB and – 16.962 dB, respectively. The simulation process for this design is using Advanced Design System (ADS) simulation software and fabricated using FR-4 board. In real situation, this project will be able to isolate the signal of interest from interference signals at desired frequencies.
Keywords:	Wireless Communication System, Multiband Matched Band-Stop Filter, Band-Stop Filter, T-Shape Resonator
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	ROUTE QUALITY EVOLUTION WITH MOBILE SINK IN WIRELESS SENSOR NETWORKS USING QOS PARAMETERS
Author:	NADIA A. SHILTAGH, MAHMOOD Z. ABDULLAH, AHMED R. ZARZOOR
Abstract:	An energy-effective routing is a fundamental task in a Wireless Sensor Network (WSN) topology. It supplies a better cost metric covering wireless route quality. Quality of Service(QoS) is behold critical design disquiet in routing protocols for WSN. Both energy and QoS parameters are used to assess network communication performance. In this study an evaluation conducted to Secure Mobile Sink Node location using Dynamic Routing Protocol (SMSNDRP) into two phases: routing generating and routing evaluation. In routing generating phase, the best path is selected based on the minimum distance between (Cluster head CH and mobile Sink Node SN) and highest CH residual energy. While in routing evaluation phase, the quality of each path is measured via creating five scenarios, one for static SN and four for mobile SN. The NS 2.35 simulator is used to implement the routing evaluation phase. The main aim of this study is proposes a technique to specify the best quality route that meets the QoS constraints for all SMSNDRP generated routes, in order to choose the best route for routing data to the SN, it must have the highest packet drop ratio, average throughput and less end to end delay that achieved better performance than other routes in the network.
Keywords:	Wireless Sensor Network (WSN), Quality of Service (QoS), Packet Drop Ratio, End to End Delay, Sink Node (SN), Cluster Head (CH)
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	QUANTIFYING USER EXPERIENCE IN USING LEARNING GAMIFICATION WEBSITE
Author:	FIRAS LAYTH KHALEEL, TENGKU SITI MERIAM TENGKU WOOK, NORAIDAH SAHARI ASHAARI
Abstract:	User experience is all about the user (which is why personas are important) because it deals with our users’ needs such as learn programming languages course. Currently, all new students always suffering to learn programming languages course in computer science departments. The preliminary investigation has showed that students have experienced ineffective learning, lack of interest towards this course and lack of motivation. In order to encourage user to interact with a learning website, adding game elements such as a challenge. Gamification has to be implemented well and has to be adequate for good user experiences. Previous studies have shown that applying Gamification elements in websites engages users. Gamification refers to the use of game elements in a non-game context to increase engagement between human and computer. Gamification Website was designed based on the gamification framework that has been constructed. This paper is discussing on quantifying user experience in term of usability and motivation in using the learning gamification website. The result of evaluation have shown that the gamification website has good (mean > 4.00) for all usability elements. On the other hand has a positive motivation in students’ performance. Finally, the finding of evaluation suggested that gamification website can be used as a motivation tool to promote students learning programming language subject.
Keywords:	Gamification, Game elements, Game Mechanic, Motivation, Programming Language
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	4 DOMAINS OF COBIT FRAMEWORK VERSION 5.0 THAT CAN BE USED TO EVALUATING INFORMATION TECHNOLOGY PROJECT MANAGEMENT GOVERNANCE IN THE IT FUNCTION
Author:	DODY ADHIATMA, NILO LEGOWO
Abstract:	This researchs conducted in IT Function at XYZ Company in Indonesia. IT Function in this company is one of the functions that work under Directorate of Finance, this IT Function has a responsible to provide some services for the child of XYZ company or the other Directorates that work under of the XYZ Company. The purpose of this research is to make readers know about Domains of COBIT 5 that can be used in the IT Function to make controlling in IT Project Management, determining level of IT Project Management performance in the IT Function, and also managing the framework that can be used to optimize IT Project Management Currently. The method that the Author used for this research is COBIT 5 Framework, and the method that the Author used to get some data with interview & questionnaire. Process of COBIT 5 that selected and relevant to face some issues that related IT Project Management such as EDM04 (Ensure Resource Optimization), BAI01 (Managing Programs and Projects), BAI03 (Managing Identification & Build Solutions), BAI06 (Managing Change ), DSS06 (Manage Business Process Control) and MEA02 (Monitoring, Evaluate, and Assess). Based on the calculations that the Author had done, the score of capability rate in this IT function is 1.33, and also this IT Function has a target and plan for their future, that's about having a plan to reach level 3.00. It means, this IT Function has a GAP score 1,67. Recommendations from the Author that can be aimed and also be used for this IT Function to help making this Function be better is, to starting and doing some of the IT Processes from COBIT 5 that the Author had selected and calculated, such as EDM04, BAI03, DSS06, MEA02, because the IT Processess of COBIT 5 are still below the prescribed minimum standard, thats 85%.
Keywords:	Project Management, COBIT 5, TI Governance, PAM COBIT, Process Assessment Model.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	NEW APPROACH FOR PREDICTING SHAPE OF GEOTEXTILE TUBES BASED ON DEGREE OF FILLING FA
Author:	YASSINE AMALLAS , YOUSSEF AJDOR
Abstract:	Geotextile tubes are severally more and more used in maritime field as systems to protect beaches against coastal erosion or as core of dykes. They are envelope of geotextile in the form of tubes, filled by pumping sand or other dredging material and installed in the site to protect the beach against erosion. The predicting of dimensions of these tubes is very important. In literature, because these dimensions give the structure its stability against several conditions of wave and current of the site installation. There are many studies to calculate dimensions of these structures (Silvester 1986 [6], Leshchinsky et al. 1996 [2] [3] [4], Kazimirowicz 1994 [5], Plaut and Suherman 1998, Malík 2009, Cantré and Saathoff 2010 [6], Chu et al. 2011, Guo et al. 2011, 2013), but they require the running of a computer program and this limit their access to general public. The most popular is the approach presented by Leshchinsky et al. (1996)[2] in the program GeoCoPS 2.0 [3] [4]. In this paper, a new numerical approach was established to calculate dimensions of geotextile tubes regarding the filling rate FA (%).The results were presented in an computer program. The approach developed is based on same relationship used by Leshchinsky and other authors and iterations of all parameters. At the conclusion of this paper formulas, depending only on FA (%), to calculate dimensions of filled geotextile tube are proposed.
Keywords:	Geotextile Tubes, Coastal Erosion, Filling Rate, Predicting Of Dimensions, Computer Program.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	DESIGN AND IMPLEMENTATION OF FACILITY MANAGEMENT SYSTEM USING IOT TECHNOLOGY OF 4TH INDUSTRIAL REVOLUTION
Author:	JAEEUN SEO, NARAE JEONG, JAEJOON KIM
Abstract:	In our research, the user/client may feel inconvenienced for utilizing a facility based on current or past administration process. Because of this inconvenience, we designed and implemented smart facility management system with a digitalized new technique, Internet of Things, for comfortable and convenient use of digital door locked facility. The proposed system can make a reservation and use a facility via smartphone application. In H/W configuration, digital door lock is attached by Arduino and WiFi modules. The user’s smartphone application can communicate between Apache server and WiFi module and Web Server which consists of PHP. Finally, the user can easily open and close the door lock through the application, and the facility can be used more conveniently. Furthermore, the user can conveniently manage the user information and the reservation history by using the HTML web page. In addition, the proposed system can be used for minimizing the loss of user’s privacy information.
Keywords:	IoT, Arduino, Wifi, Android Studio, Facility Management System
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	MINING INTERESTING POSITIVE AND NEGATIVE ASSOCIATION RULE BASED ON GENETIC TABU HEURISTIC SEARCH
Author:	HODA M. WAGUIH, SAAD M. DARWISH, MOHAMED A. OSMAN
Abstract:	Association rule mining is a very efficient technique for finding a strong relation between correlated data. For the mining of positive and negative rules, a variety of algorithms are used such as Apriori algorithm. Practically the data set can contain a large number of data entities which form a large number of rules set. For the understanding of efficient relation, it is needed that rules should be kept as minimum as possible without losing the useful information. This is a difficult task and can be seen as optimization problem. To eliminate the multi-scan problem and reduce a large number of mined rules, in this paper, we propose a novel approach to mine interesting positive and negative rules from frequent and infrequent pattern set based on genetic Tabu heuristic search with key innovation to optimize genetic population of rules. Genetic Tabu Algorithm (GTA) follows procedures similar to the Genetic Algorithm (GA). However, for the selection process, GTA uses the Tabu search process to enhance the quality of mined rules in some way that is efficient in time and memory. The suggested algorithm is accomplished in two phases: (1) generate frequent and infrequent pattern set. (2) Efficiently generate optimized positive and negative rules by using useful frequent pattern set and GTA. Experiment results show that the proposed algorithm can efficiently generate positive and negative association rules and outperforms the traditional algorithms in terms of time and quality.
Keywords:	Association rule mining, Apriori Algorithm, Positive and negative rules, Genetic Tabu Search, Optimization.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	EARLY ANALYSIS OF SOFTWARE ARCHITECTURE TO ESTIMATE ENERGY CONSUMPTION IN ANDROID PLATFORM
Author:	HASAN SAJID ATTA AL NIDAWI , KOH TIENG WEI , AMMAR KHALEEL , KAREEM ABBAS DAWOOD
Abstract:	In recent years, the popularities of smartphones and its apps have been growing exponentially. This growth have made mobile applications more complex and require a large amount of energy to run in an efficient manner. It means mobile applications rely heavily on battery consumption. However, battery consumption is still a limiting factor in mobile applications development. To this end, a mobile software architecture plays a crucial role in determining the performance of a mobile application in terms of energy consumption. Up to date, there has been limited work to assist mobile applications developers to select the most suitable software architecture that intends to manage resources consumption during the design phase accordingly. Hence, this paper aims at presenting a consumption analysis of two different architectures, namely; Server-centric architecture and Mobile-centric architecture. This analysis helps to identify the least energy-consuming architecture. Moreover, Data Retrieval Information System (DRIS) in Android mobile applications has been used as a case study to prove the effects of software architectures concept in reducing energy consumption. The analysis results have shown that Mobile-centric architecture is less energy-consuming.
Keywords:	Software Architecture; Energy Consumption; Android Mobile Application, Data Retrieval System.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	WEB-BASED DECISION SUPPORT SYSTEM FOR DIETARY MEAL PLAN RECOMMENDATION
Author:	ROSMAYATI MOHEMAD, SITI ZULAIKHA KAMARUDDIN, NOOR MAIZURA MOHAMAD NOOR
Abstract:	Due to socioeconomic changes, many people in both developed and developing countries are struggling with overweight and obesity as a result of sedentary lifestyle and unhealthy dietary habits. Preventive strategies need to be established to promote awareness on balanced diet and active lifestyle to improve overall health population. Attempts in health care services to provide the guidance for decision making in nutrition counseling have been done through the development of web-based decision support systems. Although these decision tools prove to be helpful in promoting suitable changes to the eating habits among overweight and obesity people as part of their health treatments, the tools are lacking to focus on preventive strategies especially among healthy people to cultivate the healthy lifestyle habits. This include to provide personalized menu plans that consider and suit users diversity requirements and their body needs. Therefore, objective of this study is to design and develop a web-based decision support system for recommending dietary meal plan based on the Daily Calorie Requirement (DCR) and daily activity level, known as eDietForYou. This tool could assist people to achieve their ideal weight in the way as recommended by dietitian. All of the calculations and decisions are suggested automatically by the system. Hence, this system is robust and reliable as there is no human error.
Keywords:	Daily Calorie Requirement, Meal Plan, Web-based Decision Support System, Recommendation
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	ONTOLOGY-BASED ENHANCEMENT OF RULE LEARNING FOR INFORMATION EXTRACTION
Author:	FATINE JEBBOR, LAILA BENHLIMA
Abstract:	Several data sources like social networks and blogs are providing increasing amounts of unstructured data in natural language. This data contains useful information that must be identified automatically, quickly and with high precision. Therefore, different Information Extraction (IE) approaches were proposed like Rule-based and Statistical ones. The majority of rule learning IE systems present a recurring problem caused by the generation of a set of irrelevant and unnecessary rules, which affects the quality of the extraction results. Hence, we propose in this paper a novel and generic approach to increase the performance of these extractors in order to avoid missing important information or providing erroneous one. It consists in enhancing the rule generalization through using a domain ontology designed to make the systems able to generate only the most likely useful rules. To prove its efficiency, our solution is applied to (LP)2 system and empirically tested on a corpus for seminar announcements. According to our results, the system’s enhanced version reaches a high accuracy with respect to (LP)2 and other extractors, which means that the information it extracted is of a better quality.
Keywords:	Information Extraction, Rule-Based Learning, Natural Language Processing, Ontology
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	PROBABILISTIC MODEL OF ALLOCATION LAWS OF EXPERIMENTAL DATA IN INFORMATION SYSTEMS
Author:	YURI YURIEVICH GROMOV, YURI VIKTOROVICH MININ, OLGA GENNADEVNA IVANOVA, ALEKSANDR GEORGIEVICH DIVIN, HUDA LAFTA MAJEED
Abstract:	On the basis of the beta distributions of the 1st and 2nd kind were received probabilistic models of distribution laws, which allow to approximate wider class of distribution laws of experimental data, than the existing Pearson’s system of distributions. The method of identification parameters was developed of the generalized beta distribution using power, exponential and logarithmic moments.
Keywords:	Information System, Experimental Data, Probability, Distribution Laws, Approximation.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	AN EXPLANATORY INVESTIGATION ON THE ROLE OF COMMUNICATION ANTECEDENTS IN PROJECT MANAGEMENT
Author:	SHASHEELA DEVI KARUPPIAH, G. MARTHANDAN, MOHANA SHANMUGAM
Abstract:	Project management has become a norm in many organizations for project benefit realization commonly aligned to organizational strategic goals. These projects in organizations create additional value to meet organization commitments. Research suggests that communication management is one of the key area in project management. This research therefore embarks empirically to determine the role of project communication impacting project management. The identified antecedents of communication are adapted from Media Synchronicity Theory (MST) to study the impact on communication performance influencing project management. The study uses data gathered by a survey involving respondents from the IT industry analyzed using the Partial Least Squares of the Structural Equation Modeling (PLS-SEM). The empirical evidence demonstrates a significant relationship between communication and project management. The study also contributes to the project management body of knowledge.
Keywords:	Project Management, Communication Antecedents, Communication Performance, MST, PLS-SEM.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	A CONVOLUTIONAL NEURAL NETWORK APPROACH TO ROAD CLASSIFICATION FROM SATELLITE IMAGES
Author:	JOSE HORMESE, CHANDRAN SARAVANAN
Abstract:	The significance of extracting roads from a satellite image of high resolution can help in road navigation, update geographic information systems, emergency rescue system that requires instantaneous maps. The difficulty lies in identifying and differentiating a road from its background. To overcome this difficulty more and more research is being conducted for devising efficient methods that can extract a road from a satellite image. The large presence of buildings and manmade structures along the roads or the presence of trees or the acquisition properties of the sensor can cause difficulties in identifying a road from a satellite image. The conventional way of identifying a road was using semi-automated approaches which is not feasible as well as consumed large amounts of time. A high accuracy technique for road extraction is needed. Also when compared with extraction from aerial images the extraction from satellite images is a challenging domain. The reason for that is satellite images have a resolution that is low and the presence of noise contents in any given image is quite high. This work deals with extracting a road network from high resolution satellite images. This work deals with estimating if a pixel in a satellite image is part of a road or not using Convolutional Neural Network. The advent of Tensor flow library has made this work feasible. The work proposes a new approach for making data sets for this complex problem and has concluded with a feasible solution for the problem.
Keywords:	Satellite Image, Geographic Information Systems, Road Network, Convolutional Neural Network, Tensor Flow
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	ALGORITHM OF FORMING SPEECH BASE UNITS USING THE METHOD OF DYNAMIC PROGRAMMING
Author:	YERZHAN N. SEITKULOV, SEILKHAN BORANBAYEV, HENADZI V. DAVYDAU, ALEKSANDR V. PATAPOVICH
Abstract:	The article is dedicated to the development of an algorithm of autonomous speech segmentation of the given text using dynamic programming method and creation of base unit bases of a certain announcer. Base units are used to form speech-like signals in systems of active speech information protection. The algorithm is based on the use of text, spoken by one of the announcers, marked and divided manually into structural units, which is the model for an automated speech segmentation of other announcers for the same text. For the speech segmentation of other announcers and formation of structural base units of their speech and to be used with the method of dynamic programming according to the model as done manually before that. The formation of speech-like signals is conducted using compilation method of speech synthesis of the text, which is automatically synthesized including linguistic, phonetic and prosodic features of the given language.
Keywords:	Structural Unit Bases; Speech Segmentation; Dynamic Programming; Compilation Speech Synthesis; Indication Vector.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	ANALYSIS OF RETINEX ALGORITHM ON DIGITAL IMAGE FROM CCTV CAMERA FOR FACE RECOGNITION
Author:	RIDHO DWISYAH PUTRA, ANGGUNMEKA LUHUR PRASASTI, TITO WALUYO PURBOYO
Abstract:	Face recognition is a technology that has been widely applied for various purposes. The example is face recognition for the creation of identity cards, driving license or security system of a place that can recognize the face of someone. In security system, surveillance using Closed Circuit Television (CCTV) camera generally use infrared camera which can capture images even in dark conditions. Generally, the image quality from CCTV camera is poor. This can be caused by a poor image retrieval process, such as inadequate capture distance and minimal lighting conditions so the result of image is still not optimal. One solution that can be done to overcome the lack of image quality by using the method of image enhancement. In this research, used two retinex method that is Single Scale Retinex and Multi Scale Retinex with Principal Component Analysis face recognition method. Testing performed compared face recognition without retinex and face recognition with retinex (SSR and MSR). Testing with the same light training data conditions has the most effective conditions when the light is very dark.
Keywords:	Image, Face Recognition, Infrared, Image Enhancement, Retinex.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	WEATHER MONITORING SERVICES BASED ON INTERNET OF THINGS AND CLOUD COMPUTING BY USING TEMPERATURE, HUMIDITY AND RAINFALL ENVIRONMENT PARAMETERS
Author:	PUTRI SEROJA NASUTION, AHMAD NURUL FAJAR
Abstract:	Internet of Things (IoT) technology cannot be separated from the use of Cloud computing in terms of access, and it has many advantages when compared with traditional computing, such as: cost saving, reliability and scalability. IoT can be applied in various fields such as smart city, smart transportation, agriculture, weather monitoring and other fields. In this research, design and development of Cloud computing based Internet of Things for weather monitoring based on temperature, humidity and rainfall of surrounding environment parameters as message, and using MQTT which is IoT/M2M connectivity protocol. There are three main components of MQTT: the first component that generates the message is called a publisher, the second that consumes messages is called a subscriber, and the last component that handles the interaction between the publisher and the subscriber is called a broker or intermediary. Usability testing is also done from each component of the system using the black box approach that can represent overall functionality. Based on the design model of weather monitoring system, end-user can monitor weather conditions according to the placement node device of location and through Web-based applications installed on the cloud server. The amount of data message formatted into JSON is ± 120 bytes, and is published by node with time interval per ± 30 seconds.
Keywords:	Internet of Things, Cloud, MQTT Broker, Publish/Subscribe, JSON
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	MODELING OF CONCRETE STRENGTH PREDICTION USING FUZZY TYPE-2 TECHNIQUES
Author:	SHARIFAH SAKINAH SYED AHMAD, ZURAINI OTHMAN, FAUZIAH KASMIN, SAMARJEET BORAH
Abstract:	The compressive strength of concrete is an important process in constructions arrangement and proportioning new mixtures which demonstrates its level of quality assurance. In this research, a concrete strength prediction model has been developed based on Fuzzy approach. This model will estimate the compressive strength of a concrete based on 1030 sample of ready-mix concrete based on its design mix constituents, namely cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, and age. Four different model are compared with each other using statistical performance. The experimental results show that Type-2 fuzzy model gives minimum errors for predicting compressive strength of concrete.
Keywords:	Type-1 Fuzzy Model, Type-2 Fuzzy Model, Concrete Strength Prediction.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	A CLASS OF ABCED CONJUGATE GRADIENT METHOD IN SOLVING GENERAL GLOBAL OPTIMIZATION PROBLEMS
Author:	GOH KHANG WEN, YOSZA DASRIL, ABDUL RANI OTHMAN
Abstract:	Conjugate Gradient Method (CG) is one of the well-developed gradient based method in solving optimization problems. It been widely used in solving large scale optimization problems due to its low computational cost and high efficiency in locating optimization solution. However, this method often fails to obtain global optimum solution when solving multimodal nonconvex optimization problems because once this method obtained a local optimum solution, it unable to move to another valley to obtain a better optimum solution. In this paper, ABCED Conjugate Gradient Method which consist of a series of enhanced conjugate gradient methods have been introduced to solve multimodal nonconvex optimization problems. The new developed methods have been tested with several benchmark problems. The numerical results had proved the effectiveness of the ABCED Conjugate Gradient Methods. The results showed the ABCED Conjugate Gradient with Fletcher-Reeves formula able to globally solve 80.95% of the selected benchmark test function. Then, ABCED Conjugate Gradient with Hestenes-Stiefel and Dai-Yuan formula had globally solved 76.19% of selected benchmark test function. However, ABCED Conjugate Gradient with Polak-Ribiere only able to solve one third of the selected benchmark test function.
Keywords:	Gradient Based Method, Conjugate gradient method, Artificial Bees Colony (ABC), Multimodal Non-convex Optimization, Global Optimization
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	WEB-BASED LEARNING MODEL THAT CAN BE IMPLEMENTED IN LEARNING SETTINGS WITHOUT BEING LIMITED BY TIME, PLACE AND SPACE
Author:	SUPRATMAN ZAKIR, RAHMAT HIDAYAT
Abstract:	Learning model is one of the factors that influence the learning outcomes. An educator is required to implement a variety of learning models in carrying out learning activities. One of the contemporary learning models is Web Base Learning (WBL). WBL models can be implemented without being limited by place, time and space. This study aims to produce a web-based learning model that can be used in accordance with certain environmental settings. This research uses Research and Development approach of Plomp model. The results show that WBL model can optimize the use of resources and potential owned by a college. Application of this web-based learning model is able to make learning take place anytime and anywhere without being limited by time and space. The WBL Model can access unlimited sources of knowledge and information thereby increasing the treasury of the material being studied. WBL Model is also able to improve the effectiveness and efficiency because learning takes place without considering the time of learning. WBL models are also able to instill and cultivate human values or characters such as honesty, courtesy, mutual respect, respect for the opinions of others, being able to accept, discipline, rewarding time in addition to assisting students in improving cognitive, affective and psychomotor aspects.
Keywords:	Web Base Learning, Online Learning, E-Learning, Research And Development, Learning Setting
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	FUNCTIONAL COHESION METRIC FOR OBJECT-ORIENTED SYSTEMS
Author:	OLUBUKOLA D. ADEKOLA, SUNDAY A. IDOWU, 3SAMUEL O. OKOLIE, JONAH V. JOSHUA, ADEWALE O. ADEBAYO, ADERONKE O. OLUSOGA
Abstract:	Controlling software development process aids ensuring the quality of the output, but this is dependent upon availability of means of measurement. A major concern that makes software difficult to maintain or reuse is the complexity of the internal design and the most common to Object-Oriented Design (OOD) are cohesion and coupling. Traditional metrics could not scale in measuring cohesion in object oriented systems. Existing static cohesion metrics (for OOD) using variable-method and method-method interactions are satisfactory, but neglect semantic aspects of the software. On the other hand, existing semantic and joint static and semantic cohesion metrics fall short by relying on analysis of identifiers and comments, which are unstructured data with known setbacks. This study, therefore, developed a static and semantic functional cohesion metric that employed data hiding and object behaviour as a representation of OOD domain concept.
Keywords:	Attribution, Cohesion, Coupling, Maintainability, Metrics, Reusability
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	QOS BASED PATH SELECTION FOR MODIFIED SMART OPTIMIZATION METHODS
Author:	RADHWAN JAWAD KADHIM, Dr MUAYAD SADIK CROOCK
Abstract:	The routing technology is a major challenge in determining the performance of the Ad Hoc Wireless Sensor Network (AHWSN). In this paper, we propose a routing methods to reinforce network performance and overcome network problems such as path destroying within a specified time. The proposed method considers the all possible paths between source node and destination node are discovered. Each path has three metrics of Quality of Service (QoS): bit rate, packet loss rate and delay to be considered in path selection methods instead of single metric. Therefore, this problem is considered as an NP-complete problem. The proposed methods aims to finding the robust path between source and destination node in the face of conflicting design objectives. This is done by minimize packet loss rate, maximize the bit rate and minimize delay using three methods in path selection decision: Weighted Sum optimization method, Weighted Sum Based Genetic Algorithm optimization method and the Non-dominated Sorting based Genetic Algorithm-II (NSGA-II) with two types of Crossover. The obtained results of the three methods are compared with Bellman-ford algorithm based Ad Hoc on Demand Distance Vector (AODV) protocol and compared with NSGA-II priority based encoding. Simulation results, performed in Matlab (2017a), prove that the effectiveness of the proposed methods in terms of finding best path to solve routing problem and QoS requirements in static and dynamic environment. There is important decrease in packet loss rate, delay and increase in bit rate by the proposed method under the varying sensor nodes. In addition, the proposed methods save energy because they do not need to reroute again when route failure occurs.
Keywords:	AHWSN, Weighted Sum, Genetic Algorithms, NSGA-II, AODV.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	EXAMINING THE EFFECT OF LEARNING MANAGEMENT SYSTEM QUALITY AND PERCEIVED USEFULNESS ON STUDENTS SATISFACTION
Author:	FIRAS SALEEM HADDAD
Abstract:	The application of educational technology, especially learning management system (LMS), has increased rapidly since the last few years. LMS has been developing very rapidly and the arising issue now is on how to manage it in order that online courses would be both successful and efficient. In this regard, the issue of user satisfaction has been frequently highlighted in the literature. User satisfaction has been found to significantly forecast the success or failure of LMS implementation. Hence, this study will look into the success factors impacting user satisfaction and LMS outcomes. Specifically, the conceptual evaluation model used in measuring LMS success is detailed. This study specifically seeks to explore the relationship between the proposed factors and student satisfaction, while also measuring LMS outcomes. The attained results evidence the positive impact of all proposed factors on student satisfaction. Also, the results indicate that higher rate of user satisfaction increases the benefits for the students.
Keywords:	Distance learning, learning management system, User satisfactions, Information quality.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	COMPREHENSIVE METHOD FOR DISCOVERING AND ASSESSING THE RICH-CLUB ORGANIZATION IN MULTIHYPERGRAPHS
Author:	ARTEM POTEBNIA
Abstract:	The topological structure of the graph-based models constructed for a wide range of the real-world complex systems is characterized by the clear presence of the rich-club organization. Conceptually, such organization implies the tendency of the most important (in accordance to the prescribed metric) vertices to be tightly interconnected with each other and form the cohesive communities referred to as the rich-clubs. Recently, the rich-club ordering has attracted a considerable attention of investigators due to its impact on the robustness and performance of the modeled system as well as the regime of its functioning. At the same time, the prior studies in this direction are entirely limited to the case of simple graphs. This, in turn, points to the existence of the fundamental research gap associated with the need to develop the method for detecting the rich-club organization in multihypergraphs (i.e. hypergraphs allowing the presence of the parallel hyperedges). With a view to bridging the identified gap, this work introduces the family of the original metrics providing the formal way for determining whether the submultihypergraph induced by the most important nodes of multihypergraph could be properly regarded as its rich-club. The proposed metrics are designed to exhaustively capture the complex nature of relationships established in the considered submultihypergraph and, accordingly, take into account not only the number of its hyperedges but also their cardinality and role in ensuring the connectivity of vertices. Furthermore, the paper elaborates the scheme of normalizing the introduced metrics with respect to the reference ensemble of random multihypergraphs possessing the same sequences of vertex degrees and hyperedge cardinalities as the multihypergraph under investigation. Such normalization allows discovering the intentionally emerged rich-club ordering in multihypergraphs that does not follow merely from the structural restrictions imposed by the local properties of vertices and hyperedges. Finally, the paper illustrates the descriptive potential of the developed method by constructing the multihypergraph-based representation of the scientific co-authorship hypernetwork extracted from the IEEE Xplore database and performing the rigorous experimental analysis of its rich-club organization.
Keywords:	Rich-Club Organization, Rich-Club Coefficient, Multihypergraph, Simple Hypergraph, Multigraph, Co-Authorship Hypernetwork.
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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Title:	THE USE OF GOOGLE MAPS AND UNIVERSAL TRANSVERSE MERCATOR (UTM) COORDINATE IN LAND MEASUREMENT OF REGION IN DIFFERENT ZONE
Author:	ADI SETIAWAN , EKO SEDIYONO
Abstract:	The methods in determining land area measurement based on UTM coordinate are very few. In this paper, we present the use of Google Maps and Universal Transverse Mercator (UTM) to determine the measurement of land area in two or four different zones of UTM coordinate based on the proposed method. We proposed the rectangular method. The proposed method is then applied in determining of regional area of regencies in Central Kalimantan such as Kapuas Regency and Murung Raya Regency. If the method is applied to determine the measurement of land area in Kalimantan Tengah, the mean of absolute percentage error (MAPE) is 14.45 %.
Keywords:	Universal Transverse Mercator, Google Maps, Land Measurement, Zone, Coordinate System
Source:	Journal of Theoretical and Applied Information Technology 15^th December 2018 -- Vol. 96. No. 23 -- 2018
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