		FeedBack \| Contact Us \| Links \| Site Map

Welcome to Journal of Theoretical and Applied Information Technology

Submit Paper / Call for Papers

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
June 2020 | Vol. 98 No.12

Title:	THE VIRTUAL PROPERTY AS COLLATERAL FOR A LOAN: A COMPARISON BETWEEN INDONESIA AND UNITED STATES
Author:	ULANI YUNUS, ABDUL SALAM, RAISSA RICHKA JONAH
Abstract:	The Virtual property meets a set of criteria for it to be considered an object of property under property law which are rivalrousness, persistence, interconnectivity, valuable, available, and defendable from interference by the other parties. As the meaning of property is extended to include the virtual property, it should be treated with the same legal status as real-world property. Therefore, it is reasonable that the virtual property as an object of property can be used as collateral for a loan because it does not only give the rights to peaceful enjoyment but also provides security interest. Under Article 9 Uniform Commercial Code, eSnowshoes, a United States-based company, uses its domain name and storefront in a virtual world called Second Life to secure financing. By comparing Indonesian legal framework to the United States legal framework for the virtual property and security law, this article discusses the possibility for the virtual property to be used as collateral for a loan in Indonesian legal system. In this digital era, granting users property rights on the virtual property will promote economic growth. However, some developers are still enforcing Terms of Service and End-User License Agreement that restrict users from owning virtual property they have made in the virtual world. The clarity of the ownership of the virtual property is needed as only eligible subjects capable to use their property as collateral for a loan. Also, it must be clear what type of property that the virtual property belongs to. While the United States enacts Article 9 Uniform Commercial Code for personal property and fixture, the Indonesian legal system recognizes pledge and fiduciary as a security interest for the movable property. Acknowledging the virtual property as the movable intangible property is the most practical way to do for it to be able to be used as collateral for a loan under Law No. 42 of 1999 on Fiduciary because the perfection for it does not need to meet inbezitstelling principle. However, the usage of the virtual property as collateral for a loan is needed to be discussed further by the economic and financing experts on how to assess its value. The method used in this research is descriptive analysis, carried out through expert interviews, regulation, literature studies and normative juridical.
Keywords:	Virtual Property, Indonesia, United States, Collateral for a Loan
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	METHODOLOGY FORMING FOR THE APPROACHES TO THE CYBER SECURITY OF INFORMATION SYSTEMS MANAGEMENT
Author:	ADRANOVA A., YONA L., KRYVORUCHKO O., DESIATKO A., PALAHUTA K., BLOZVA A., GUSEV B.
Abstract:	This paper establishes the analogy of displaying an information security management system (ISMS) for information systems (IS) as a queuing system (QS). It became possible through the identification of structural and functional analogies between ISMS and QS. As a result of such analogy, it became possible to model the ISMS as a QS, and subsequently formulate the initial requirements for the ISMS IS. It was defined that the ISMS can be interpreted as a single-phase QS with possible losses. Model for determination of the QS parameters was developed. Due to structural, substantive and functional analogies, newly created models allow one to form range of quantitative ISMS characteristics for IS. This allows one to ensure the effectiveness of the ISMS design process, taking into account the prospects of increasing complexity and the number of destructive effects on IP by attackers. Computational experiments, carried out using a specially designed software application, confirmed the reliability of the main theoretical provisions and practical developments.
Keywords:	Information Security Management System, ISMS, Queuing System, QS, Information Protection, Information System, Design Characteristics
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	BLUEPRINT ENTERPRISE ARCHITECTURE IN DISTRIBUTION COMPANY USING TOGAF
Author:	EVARISTUS DIDIK MADYATMADJA, JOHANES FERNANDES ANDRY, AGUSTINUS CHANDRA
Abstract:	Current technological developments have become an important role in helping people, especially in activities in the company. The development of this technology has helped many companies in improving the performance and business processes of the main and supporting companies. Information technology in companies is needed to support their business processes. This distribution company is currently not assisted by information technology in carrying out its business activities, therefore some of the company's business processes such as scheduling the delivery of goods that are not well organized due to customer demand, data collection of goods in and out of warehouses that are not recorded, and others. This makes the company requires the development of information technology in helping the company's business processes. Enterprise architecture can help companies in designing the development of information systems in the company. Enterprise architecture has several frameworks that can be used in the design of information systems such as the TOGAF, Zachman Framework, and others. TOGAF framework will be used in this research as a modelling in designing the process of developing enterprise information systems. The results of this study will be in the form of proposed TOGAF method models that have been adapted to business processes and business needs of the company to help improve the company's business processes.
Keywords:	Enterprise Architecture, TOGAF, System Information
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	MIXED INTEGER LINEAR PROGRAMMING MODEL FOR INTEGRATED FISH SUPPLY CHAIN PLANNING
Author:	NURDIN, M ZARLIS, TULUS, SYAHRIL EFENDI
Abstract:	The Province of Aceh has many types of fish resources that become superior commodities, because most of Aceh's territory is located on the coastline which is the waters of an exclusive economic zone. There are several regencies and cities in Aceh province that are far from the coastline, thus experiencing a shortage of fish supply, therefore planning and management of fish supply chains is needed to anticipate uncertainty in fish supply for areas far from the coast. In the production planning strategy scenario, the mathematical programming model plays a very important role in balancing supply chain planning in decision making, so this research was conducted with an optimization approach using the Mixed Integer Linear Programming (MILP) method. The stages carried out in this study began data collection and literature review, determining parameters and decision variables, formulating the objective functions and constraints of the model, designing the model, implementing the model, testing and simulating the model. Model testing and simulations are carried out using the lindo program. The purpose of this research is to make a Mixed Integer Linear Programming optimization model for integrated fish supply chain planning, this model can help to solve the problem of fish supply shortages in certain areas, so that consumer demand for fish resources can be done quickly. The model of this research can also minimize the operational costs of the fish supply chain from suppliers to consumers. The results of this study are also expected to help decision makers and stakeholders related to the planning and management of fish resources in the province of Aceh.
Keywords:	Supply Chain, Optimization, Planning, Integrated, Fish
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	THE SAUDI MONARCHY @KINGSALMAN LEADERSHIP ON VIRTUAL SPACE
Author:	HANEEN MOHAMMAD SHOAIB
Abstract:	The purpose of this study is to understand how social media facilitate leadership development on virtual space through Twitter. It addresses the impact of virtual space in the re-conceptualization of the Saudi online monarchy identity. This paper explores different facets of the Saudi Arabian leadership reflected in its Monarchy-online identity that is manifested through virtual space on Twitter. The research design builds on a dramaturgical approach and virtual ethnography to analyze the official Twitter account @KingSalman of King Salman bin Abdul-Aziz Al Saud and how social media affected the Monarchy-online identity in comparison with front stage and backstage script. The research incorporates multidisciplinary perspective to understand the role of virtual space on the construction of identity from the perspective of culture, religion, gender and international relations. The findings depict that virtual space provide opportunity to Saudi MonarchyÃ¢â‚¬â„¢s King Salman in order to have easy access to general public and support in formation of leadership identity. This paper contributes in a way to compare virtual and face-to-face leadership identity, contribution of virtual space in constructing leadership and the ethical consequences of identity-disclosure in Saudi Arabia through Twitter.
Keywords:	King Salman, Saudi Arabia, Monarchy-Online, Virtual Space, Dramaturgical Approach
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	ENTERPRISE RESOURCE PLANNING (ERP) ADAPTATION IN MALAYSIA AGRICULTURAL SME: ISSUES AND TRENDS
Author:	SYAIMAK ABDUL SHUKOR , AIDA SHEIKHI , AMNI HUSNA MOHD NASHIR
Abstract:	Small and Medium Enterprises (SMEs) are rapidly growing in various industries in Malaysia. As part of their survival strategy, they need to be competent, efficient, inventive and malleable in completing meek tasks while focusing on carrying the other multifarious activities. In order to be relevant in the current rivalry of Industry 4.0, any industry needs to be updated with the current technology. Enterprise resource planning (ERP) is the cohesive management of business processes, in real-time and facilitated by various technologies. There are few types of ERP available for companies, in-house which is designed for the business or off-the-shelf that companies obtain the license and use and on the cloud which is eventually off the shelf but with more personalization. Each has its advantages and disadvantages. The main objective of this research to evaluate the recent condition of the ERP adaptation in Malaysia Agriculture Sector. Furthermore, it will also recommend an appropriate approach in ERP adaptation particularly in this SME sector. This paper start with the overview of ERP adaptation in Malaysia SME especially the agriculture sector. Unfortunately, the Agriculture Sector was an overlooked industry by business IT service provider companies and many features were not compatible with their standard operating procedure (SOP) which made the consideration of ERP even riskier. The concept of ERP customization, the recent eminence of ERP in Malaysia SME and its implementation are discussed. The challenges and issues in adapting ERP in SMEs in Malaysia are also deliberated. Lastly, a suitable approach of ERP adaptation in the agricultural SME industry are proposed and concluded.
Keywords:	ERP, Customized ERP, ERP Adaptation, Agricultural SME, Malaysia SME
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	APPLICATION OF LOAD BALANCING ALGORITHMS TO IMPROVE THE QUALITY OF SERVICE DELIVERY USING MODIFICATIONS OF THE LEAST CONNECTIONS ALGORITHM
Author:	SERIK JOLDASBAYEV, GULNAR. BALAKAYEVA, ORYNBASAR JOLDASBAYEV
Abstract:	To develop solutions to the problems of providing high-speed Internet, that is, a high-quality service, up to a certain point, there is the possibility of improving quality by increasing the hardware resources of the system, but, as practice shows, quantity does not always mean quality, and the effectiveness of the service delivery system takes into account the advantageous positioning of resources with algorithmic load balancing on servers with maximum benefit, both for the user and for the party providing services . This article provides the results of research and analysis of balancing algorithms, implementation methods for load balancing on servers and improving the quality of service delivery. Research in this direction is very relevant and in demand, the article provides an analysis and description of static and dynamic solutions, the advantages and disadvantages of algorithms. A modernization of the Least Connections algorithm is proposed.
Keywords:	Improving The Quality Of Service Delivery, Qos, Load Balancing, Balancing Algorithms.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	CYBER SECURITY BASED MACHINE LEARNING ALGORITHMS APPLIED TO INDUSTRY 4.0 APPLICATION CASE: DEVELOPMENT OF NETWORK INTRUSION DETECTION SYSTEM USING HYBRID METHOD
Author:	SARA TAMY, HICHAM BELHADAOUI, NABILA RABBAH, MOUNIR RIFI
Abstract:	The implementation of industry 4.0 is a complex process that involves several steps and management of a project involving all the company's resources: production, supply chain, engineering, maintenance, human resources, information systems and many others. faced of the risks weighing on companies, and even more on their sensitive data, the need to create a cybersecurity strategy for the Industry 4.0 is more essential than ever. It has been apparent for several years that industrial systems are vulnerable to computer attacks. This can be explained because they were not designed with security constraints, particularly because of their physical isolation from Internet. However, they now face a variety of attackers with different objectives and abilities. In this paper, we present our strategy of cybersecurity, based on machine learning algorithms, applied in the context of industry 4.0. For this purpose, Unified Threat Management based on machine learning algorithms (ML-UTM) was used. to touch all layers of pyramid of Computer Integrated Manufacturing we propose to put an ML-UTM between layer 4 and 3, and an Industrial Unified Threat Management based on machine learning algorithms (ML-IUTM) between layer 3 and 2, another ML-IUTM between layer 2 and 1. Then we will cite the works based on the use of filtering device between layers 1 and 0. This paper describes a machine learning approach to build an efficient and accurate network intrusion detection system, which is one of the features of UTM, using a hybrid method. Thus, we have combined the different machine learning algorithms, namely Support vector machine (SVM), One rule (OneR), K-nearest neighbor (K-NN) and Random forest (RF) with Particle Swarm Optimization (PSO) method using a real data set (Gas pipeline), and according to the results of our analysis, we have selected the best optimized classifier. The experimental results have demonstrated the reliability and efficiency of the proposed approach. The PSO method can provide various advantages to K-NN and RF classifiers such as higher accuracy, lower MSE and faster time to build model. After analyzing and comparing all these results it was found that the NIDS based RF optimized by PSO give the best performances, with accuracy of 99.30%, F-measure of 99,30% and MSE that has been reduced to 0,0034.
Keywords:	Unified Threat Management, Intrusion Detection System, Machine Learning, Particle Swarm Optimization, industry 4.0
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	A REVIEW OF TRAINING DATA SELECTION IN SOFTWARE DEFECT PREDICTION
Author:	BENYAMIN LANGGU SINAGA, SABRINA AHMAD, ZURAIDA ABAL ABAS
Abstract:	The publicly available dataset poses a challenge in selecting the suitable data to train a defect prediction model to predict defect on other projects. Using a cross-project training dataset without a careful selection will degrade the defect prediction performance. Consequently, training data selection is an essential step to develop a defect prediction model. This paper aims to synthesize the state-of-the-art for training data selection methods published from 2009 to 2019. The existing approaches addressing the training data selection issue fall into three groups, which are nearest neighbour, cluster-based, and evolutionary method. According to the results in the literature, the cluster-based method tends to outperform the nearest neighbour method. On the other hand, the research on evolutionary techniques gives promising results but is still scarce. Therefore, the review concludes that there is still some open area for further investigation in training data selection. We also present research direction within this area.
Keywords:	Software Defect Prediction, Training Data Selection, Nearest-Neighbor, Cluster-based, Evolutionary-based
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	DETAILED PERFORMANCE EVALUATION OF ARANZ, ARAN AND AODV PROTOCOLS
Author:	LIANA K. QABAJEH, MOHAMMAD M. QABAJEH
Abstract:	Ad-Hoc networks are spontaneously formed when devices connect and communicate with each other. One of the significant issues in mobile Ad-Hoc networks is seeking an efficient and secure route from a specific source leading to an anticipated destination. In managed-open environments there is a chance for pre-deployment of some keys and certificates. ARANz protocol has been proposed to be implemented in such environments and utilized the authentication techniques of the original Authenticated Routing for Ad-Hoc Networks (ARAN). ARANz seeks to enhance security, attain robustness and solve single point of attack and failure problems by electing numerous certificate authority servers. Furthermore, ARANz ensures improved scalability and performance through dividing the network into zones and using restricted directional flooding. A detailed and extensive simulated performance evaluation has been conducted to assess ARANz and compare it with ARAN protocol and Ad-Hoc On-demand Distance Vector (AODV). Results demonstrate that ARANz is able to discover secure routes effectively within relatively large networks having large number of mobile nodes, while attaining the minimum packet routing load. Results also show that ARANz has superior performance regardless nodes density, local communications percentage, zone size and failed nodes percentage.
Keywords:	Position-Based, Secure, Scalable, Routing Protocol, Mobile, Ad-Hoc Networks, Managed-Open Environment, Location Service, Performance Evaluation, Aranz, ARAN and AODV.
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	THE RELATIVE IMPORTANCE OF THE CRITICAL SUCCESS FACTORS OF BUSINESS INTELLIGENCE(BI) SYSTEMS IMPLEMENTATION IN JORDANIAN PHARMACEUTICAL COMPANIES
Author:	ZAID AHMAD ALABADDI , ARWA HISHAM RAHAHLEH , HAITHAM ALALI, MONIRA ABDALLAH MUFLIH, SANAA NAWAF AL-NSOUR
Abstract:	The purpose of this paper is to investigate studies based on critical success factors (CSFs) of Business Intelligence (BI) Systems implementations, providing a systematic compilation of CSFs, and presenting a comprehensive taxonomy of CSFs for BI system implementation. Keywords relating to this study were defined and used to search journal databases to compile studies, referring on references to CSFs for BI implementation systems. A total of 64 articles were reviewed to achieve a depth of understanding of the various CSFs already identified by other researchers and presenting a comprehensive taxonomy of CSFs in the area of BI. Then surveying managers in Jordanian companies for the production of human medicines for the relevancy and the importance of the extracted factors. By analyzing all CFSs mentioned in the literature, the taxonomy of BI CSFs implementation was formulated In the total of (21) CSFs were identified. it provides a comprehensive bibliography of the articles published and that can serve as a guide for future research. This paper is significant because taxonomy helps us organize the knowledge And help the researchers to make their search easier. The output of this paper will help future researchers to increase the identification of related studies in the literature review phase of their work.
Keywords:	Business Intelligence (BI) Systems, critical success factors (Csf).
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	INDIVIDUALITY REPRESENTATION USING MULTIMODAL BIOMETRICS WITH ASPECT UNIETED MOMENT INVARIANT FOR IDENTICAL TWINS
Author:	BAYAN OMAR MOHAMMED , SITI ZAITON MOHD HASHIM
Abstract:	In essence, a biometric system comprises a pattern recognition system that obtains a personÃ¢â‚¬â„¢s biometric data from which a feature is set and then extracted. Upon setting the feature, it is compared to the template set stored in the database. Biometric identification systems need to not only have the capacity to distinguish between individuals but to also be capable of distinguishing individuals with nearly identical biometric signatures, such as identical twins. Multimodal biometric systems are therefore currently more popular because of their higher accuracy level in comparison to unimodal biometric systems in the context of identical twins. Comparatively, these systems require the extraction and selection of meaningful features. This paper introduces a new method for a multimodal biometric system using the Aspect United Moment Invariant for global feature extractions to detect identical twins. An experimental data set comprised of 1600 images from 100 pairs of identical twins collected from the Kurdistan region in Iraq is utilized.
Keywords:	Multi-Biometric, Identical Twin, Identification, Global Features, Aspect United Moment Invariant (AUMI).
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	REVIEW OF PHYSICAL ACTIVITIES RECOGNITION FOR PATIENTS WITH SPINAL CORD INJURIES
Author:	NORA ALHAMMAD , HMOOD Al-DOSSARI
Abstract:	Rehabilitation through physical activities is required to provide disabled individuals with the ability to perform activities of daily life. It redevelops motor skills which promote quality of life and increase level of self-care. To evaluate therapy programs, a therapist is involved in the process to identify whether the patient exercised the required activities through questionnaires and interviews with the patient. However, such involvement is not only time consuming and subjective in nature, but also might lead to inaccurate assessment due to human error. To overcome such limitations and enhance the rehabilitation process, these activities might be detected using activity recognition systems. The objective of this study is to review the literature on upper-limb activity recognition using wearable sensors for able-bodied and disabled populations with more emphasize on the latter. A total of 17 studies were included in the review. The type of recognized activities, approach used to build the model, and the number and health status of the participants were varied across the studies. Although several researches recognize part of the activities used to rehabilitate patients with spinal cord injuries, no one has completely covered these activities.
Keywords:	Rehabilitation, Activity Recognition, Machine Learning, Spinal Cord Injuries, Wearable Sensors
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	TOWARDS A DYNAMIC ANALYSIS OF LEGACY SYSTEMS FOR REVERSE-ENGINEERING INTERACTION DIAGRAMS
Author:	EL MAHI BOUZIANE, CHAFIK BAIDADA, ABDESLAM JAKIMI
Abstract:	Recently, reverse engineering has become widely recognized as a valuable process for extracting system abstractions and design information from existing software. Reverse engineering for legacy systems is used to retrieve missing design documentation from existing source code in an abstract model UML format for studying both the static structure and dynamic behavior of the system and for expanding the new features to the product. To help engineers to understand the behavior of these systems, a dynamic analysis technic is used to recover the UML sequence diagram of an object-oriented program. In this context, most existing approaches in addition to not filter execution traces, donÃ¢â‚¬â„¢t allow to extract properties of control structure corresponding to combined fragments operators such as loop, alt and opt. They canÃ¢â‚¬â„¢t also detect the operator par which is important in the case of multi-threading systems. In this paper, we propose a novel approach based on Colored Petri Nets (CPNs). This approach allows to generate UML2 sequence diagram with main combined fragment operators: seq, loop, alt, opt and par. It consists of four steps: trace collection, trace filtering, trace merging, and high level sequence diagram (HLSD) extraction. CPNs are used to abstract execution traces in order to facilitate their analysis.
Keywords:	Reverse Engineering, Legacy Systems, Sequence Diagram, Colored Petri Nets, Dynamic Analysis, Execution Traces
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text

Title:	HOUSEBREAKING CRIME GAIT PATTERN CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE
Author:	HANA ABD RAZAK, ALI ABD ALMISREB, MOHAMMED AHMED MOHAMMED SALEH, NOORITAWATI MD TAHIR
Abstract:	The rate of crime is worsen and has led to a growing number of studies on human identification namely gait recognition. Hence, this study focused on the normal and anomalous behavior at the gate of residential units based on gait features extracted using Kinect sensor. Firstly, dataset of housebreaking crime behavior and normal behavior at the gate is acquired and collected. Further, orthogonal least squares (OLS) are utilized to extract and select the gait features along with principal component analysis (PCA) as gait feature optimization. Next, classification of gait features is done using artificial neural network (ANN) and support vector machine (SVM). Result attained showed that the recognition performance using ANN classifier was up to 99% but only 50% for SVM classifier. Findings from this study showed that the most optimum accuracy rate is at 99.78% using ANN with GDX as the learning algorithm in classifying both normal and anomalous behavior at the residential gate units.
Keywords:	Anomalous Behavior, Kinect, Orthogonal Least Square (OLS), Principal Component Analysis (PCA), Artificial Neural Network (ANN), Support Vector Machine (SVM)
Source:	Journal of Theoretical and Applied Information Technology 30^th June 2020 -- Vol. 98. No. 12 -- 2020
Full Text