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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
May 2022 | Vol. 100 No.09

Title:	NEURO NETWORK TECHNIQUES OF TELEMETRY MULTIVARIATE TIME SERIES PROCESSING AND THEIR APPLICATIONS IN INDUSTRY
Author:	MUHAMMAD IQBAL, HAMDANI, MUHAMMAD SIDDIK HASIBUAN, ADLI ABDILLAH NABABAN
Abstract:	The main innovations proposed for development and implementation within the framework of the project, assessment of their fundamental novelty and competitiveness, compliance with environmental and other indicators, as well as the requirements of international standards. The main innovation of the project is to create more accurate methods and algorithms for identifying and predicting abnormal situations in the subsystems of remote technical objects (spacecraft, UAVs) using ensembles of artificial neural networks. The practical significance lies in the fact that the use of the developed methods and algorithms for the implementation of high-performance software and hardware systems will significantly reduce the time spent on processing incoming telemetry data, and especially on training classifiers of spacecraft states. An effective solution can be the development of a neural network software system for identifying the state of onboard objects and spacecraft subsystems based on modeling their behavior and intelligent processing of telemetric data.
Keywords:	ANN, Telemetry, Multivariate Time Series
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	PREDICTION OF SURVIVAL RATE OF HEART FAILURE PATIENTS USING MACHINE LEARNING TECHNIQUES
Author:	NARGIZA FOZILJONOVA, ITO WASITO
Abstract:	Heart Failure problem as part of Cardiovascular Disease (CVD) is one of the leading causes of death taking about 17.5 million of people’s lives yearly that is amounted about 32% of all deaths in the world. This study is to analyze the leading factors to the heart failure patient problem. The main goal of the paper is to determine the most appropriate machine learning technique for prediction of the survival rate of heart failure of patients. The data in the experiment was taken from a hospital in Pakistan from April to December of 2015. The algorithms were chosen for prediction model are KNN, Random Forest and Decision Tree. The results of the experiments show that Random Forest which produced ROC value 0.956 that outperforms the other machine learning techniques.
Keywords:	Prediction Model, KNN, Decision Tree, Random Forest, Heart diseases.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	ENSEMBLE LEARNING FOR MINING EDUCATIONAL DATA
Author:	ASMAE BENTALEB, JAAFAR ABOUCHABAKA
Abstract:	Predicting students’ academic performance allows giving feedback that helps in making the right decisions. Previous studies proposed using traditional statistical methods; however, they are tedious and not practical especially with the large volume of data. As for the solution, this article proposes a classification model to classify students according to their performance. It combines some of the well-known classification machine learning algorithms with Xgboost. The combination is done thanks to the voting classifier. This model was applied on two datasets and gave good results for the two: 85% and 92%.
Keywords:	Xgboost, Model,Voting Classifier,E-learning,Student Academic Performance, Recommendation
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	IMPLEMENTATION MOBILE SMART FARMING MONITORING SYSTEM WITH LOW-COST PLATFORM USING BLYNK
Author:	MOCHAMMAD HALDI WIDIANTO, BUNARDI SANJAYA, VANESSA AURELLIA, SOFIE ADIRA CHRYSANTHIA
Abstract:	The need to carry out plant care and monitoring is especially in demand by all circles in the household. Because some people reduce outside activities and do all internal activities, new activities such as taking care of plants occur. These activities are carried out by households and in buildings and workplaces. In this study, Research was conducted on implementing Low-Cost IoT tools by utilizing blynk to monitor them. Other Research was conducted specifically to discuss simple IoT monitoring tools, but it is not uncommon to discuss the price required to make these tools. This Research is needed because automation is needed for various industries. It's just that not everyone has the luck in providing money. Other needs, because lately many people are busy and need the remote control. In this Research, the focus is on making IoT with low-cost materials but still monitoring Blynk-based phones. The Research uses air, humidity, ultrasonic (air content), and temperature sensors. Testing using a BlackBox with test results ten times produces a water content of 20cm, soil moisture 60%, humidity 80%, and an average temperature of 21 C. But the study has a weakness in the number of sensors used and updating the database user needs to be expanded and repaired again. It is hoped that further Research can overcome this deficiency
Keywords:	Energy Harvesting, Smart GARNUS, IoT, Low-Cost
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	VIRTUAL COMMUNITY, CUSTOMER EXPERIENCE, AND BRAND AMBASSADOR: PURCHASING DECISION ON YOUTUBE
Author:	LA MANI, NURUL SAVITRI GANISASMARA, ZULFIAH LARISU
Abstract:	This study aimed to examine the effect of virtual community, customer experience, and brand ambassador on purchasing decisions for cosmetic products on YouTube. This study employed quantitative method with the survey technique. Data were collected using a questionnaire distributed to 400 respondents who are followers of the beauty product X YouTube account. The respondents were determined purposively. The data collected were analyzed using a multiple linear regression test. The results indicated that the virtual community, customer experience, and brand ambassador factors have a real, positive, and significant effect on purchasing decisions for cosmetic X products on the YouTube platform. These three variables may affect partially or simultaneously. Many factors influence consumer decisions to buy a product. In purchasing cosmetic products, virtual community factors, customer experience, and brand ambassadors have a reasonably large contribution. Therefore, the public or cosmetic companies must consider these variables to increase the number of buyers or customers. This study only covered cosmetic products and identified three independent variables. Further research should include more complex variables and various products.
Keywords:	Virtual Community, Customer Experience, Brand Ambassador, Purchasing Decision
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	MODELING TEXT GENERATION WITH CONTEXTUAL FEATURE REPRESENTATION AND DIMENSIONALITREDUCTION USING DEEP TRANSFER LEARNING AND BI-LSTM
Author:	K YOGESWARA RAO, K SRINIVASA RAO
Abstract:	The text generation models encounter challenges in learning the high-dimensional and abundance of data from the source domain, which leads to inaccurate text generation. In addition, generating the text sequence with contextual knowledge is challenging, even training the learning model with the domain knowledge. Hence, it is essential to effectively extract the knowledge from the source domain in the transfer learning model, which necessitates the contextual embedding of the input sequence and dimensionality reduction. Thus, this work develops the Deep Transfer Learning-based Text Generation (DTGEN) with the Embedding from Language Model (ELMo), Variational AutoEncoder (VAE), and Bidirectional-Long Short Term Memory (Bi-LSTM). The proposed DTGEN model focuses on the low-dimensional text feature representation and the deep transfer learning-based text generation. Initially, the proposed DTGEN approach contextually models the input text sequence with the help of the ELMo and generates the vectorized input data as the feature representation. Moreover, it generates the low-dimensional feature vector for the embedding input-based knowledge transfer by adopting the VAE model with the weighted regularization. In subsequence, the DTGEN approach learns the relevant knowledge from the source domain based on the contextual vector representation and analyzes the sequential patterns of the text data in the target domain. Consequently, the proposed approach predicts the terms based on the sequential relationships in the target text and the knowledge extracted from the source text with the assistance of the Bi-LSTM model. Thus, the experimental results demonstrate that the proposed DTGEN approach yields 2.89% higher text generation accuracy than the existing Deep Learning-based Next Word Prediction (DNWP) approach while testing on the NewsRoom dataset. Furthermore, the DTGEN approach outperforms the LSTM-based text generation by 10.11% higher accuracy for the samples in Cornell Movie–dialog Corpus (CMC) dataset.
Keywords:	Text Generation, Deep Transfer Learning, Elmo, Context Vector, VAE, Knowledge Transfer, And Bi-LSTM
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	ONTOLOGICAL APPROACH FOR OVERCOMING PESTICIDE PARADOX IN INTER-CLASS TESTING
Author:	SAYED ABDELGABER, RASHA MANSOUR MOHAMED, LAILA ABDEL HAMID, A.ABDO
Abstract:	Object-Oriented System Testing (OOST) focus on issues emerged with Object-Oriented features e.g. encapsulation, polymorphism, inheritance and dynamic binding. Different faults can detect during the interfacing between classes: interface faults, conflicting functions, and missing functions. With iterative nature of testing process, Traditional (automation) testing techniques become less efficient in forecasting new defects resulting in pesticide paradox. To overcome the limitations of traditional inter-class testing techniques, automation testing techniques need to be powered by artificial intelligence for bring dynamic testing techniques into testing process. This paper presents a new dynamic approach to overcome the pesticide paradox in inter-class testing of object-oriented applications that stores the knowledge into ontologies and providing algorithms, which operate on the knowledge to regenerate testing steps easily with required modification to uncover defects. Hence, ontologies can be modified without changing the algorithms, and vice versa omitting using the same test cases to overcome the pesticide paradox. The proposed approach generates an executable test suite in five phases omitting using the same test cases to overcome the pesticide paradox. To validate the proposed approach, a tool entitled PSCCOTM (Polymorphism State Collaboration Class Ontology Test Model) is developed and a case study is applied using PSCCOTM tool. The results show that, test cases can be easily updated by uploading modified ontology file of a test model into PSCCOTM tool. Also, the execution results show high percentage of faults detection, however new cases studies need to be implemented to confirm the attained results.
Keywords:	Object-Oriented System Testing, Pesticide Paradox, Inter-Class Testing, Ontologies, Test Cases
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	A REVIEW OF THE PARTICLE SWARM CLUSTERING METHOD FOR INTRUSION DETECTION IN IOT
Author:	MOHAMED EL BEKRI, OUAFAA DIOURI, DALILA CHIADMI
Abstract:	Intrusion Detection Systems (IDS) are security components that could serve IoT security. They do, however, face challenges in terms of autonomy, scalability, and efficiency. The pressing question is how to make the IDS extract the correct network’s behavior while being intelligent enough to detect new intrusions. It is, therefore, essential to explore new possibilities that could lead to further improvement in the efficiency of these systems. Introducing particle swarm optimization in intrusion detection systems is a way to approach the problem differently. In this paper, we explain the combination of two techniques, machine learning, a field that provides robust methods for learning and knowledge extraction, and particle systems that include collaborative heuristics for search and detection. There is a shortage of researches which have addressed the IoT intrusion detection problem based on this combination. We will try to fill the gap and discuss the aspects to consider for implementing particle swarm clustering method for intrusion detection in IoT.
Keywords:	Particle systems; IoT; Intrusion Detection; Machine learning; Clustering; Particle Swarm Optimization
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	ANALYSIS AND RESEARCH OF TASKS FOR OPTIMIZING FLOWS IN MULTISERVICE NETWORKS BASED ON THE PRINCIPLES OF A SYSTEMS APPROACH
Author:	SADIKOVA G., AMREEV M., MANANKOVA O.A, YAKUBOVA M.Z., YAKUBOV B.M. , MUKASHEVA A.K. , SERIKOV T.G.
Abstract:	Multiservice networks support the rapid deployment of multiple applications on a single technology based on the convergence of services. When designing such a network, many complex tasks arise. When transmitting traffic in a multiservice network, developers are facing with the problem of monitoring network performance in terms of packet loss and delay. These options allow you to specify the state of the network when a user is accessing multiple applications with different needs. One of the most important problems of modern society is the creation of a telecommunications environment that will provide highly efficient access to distributed information resources. The paper proposes to investigate the qualitative indicators of a multiservice network, which characterize the most fully satisfying user requests, guided by a systematic approach. In this problem, one of the central place is occupying by the optimization of technical and economic options for building communication networks. This is especially important when it is necessary to lay the possibility of easy integration of the projected data transmission network into the existing information structure. In this regard, the article discusses the solution, based on the justification and the choice of the objective function and the development of an algorithm for optimizing flows in a modern multiservice network. The solution to the optimization problem of the distribution of flows will allow rationally distributing the existing (allocated) resources for the purpose of serving heterogeneous user flows in such a way that the loss of user requests from imperfect network functioning would be minimal. ICMP and 32-byte Ping are used as a real-time reliability-monitoring tool between two systems in a multiservice network. Also shows the use of the Packet Tracer environment for modeling the hardware-software reliability of the multiservice backbone network. The studies carried out make it possible to assess the state of equipment at the network level when transmitting information in a multiservice network, guided by a systematic approach. Therefore, these studies are of great importance and further development.
Keywords:	Multiservice network, Flows, Optimization, Objective Function, Reliability, Packet Tracer.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	INITIAL DESIGN AND EVALUATION OF WESIHAT 3.0 FOR OLDER ADULTS
Author:	NAZLENA MOHAMAD ALI, MOHAMAD HIDIR BIN MHD SALIM, DWI FIQRI QURNIAWAN, DIVYA VANOH, SUZANA SHAHAR
Abstract:	User Experience (UX) is important in the interaction between humans and computers. It includes user`s satisfaction of the use, efficiency, and effectiveness. A good and acceptable design of an application is also important especially for older adults with impairment. The pilot study was conducted to evaluate the acceptance and usability of healthcare of designed mobile application named WESIHAT 3.0 among older adults. We conducted a survey using System Usability Scale (SUS) to obtain initial feedback on the developed prototype before we further refined it. Ten older adults aged above 50 years of age were recruited in this study. We aim to get an earlier insight of user satisfaction and acceptance on the early design interfaces before further improvement being made. The result from SUS score was 66.00 which indicated an average acceptance level. Refinement and recommendations were listed for further improvement. Participants agreed that the design is simple and easy to use, but there are still some parts of interaction that are considered complicated for them to use. The outcome of the study has potential to provide a technological support to the older adults to get knowledge on healthy lifestyle. This innovation was in line with the national policy on empowerment in technology usage to improve quality of life of older adults.
Keywords:	Usability, Older Adults, Interface Design, System Usability Scale
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	SYSTEMATIC DESCRIPTION OF THE INTERNET OF THINGS: A BIBLIOMETRIC ANALYSIS
Author:	M. IZHAM JAYA, MOHD FAIZAL AB RAZAK, DANAKORN NINCAREAN EH PHON, SYIFAK IZHAR HISHAM, AHMAD FIRDAUS
Abstract:	The explosive progress of the Internet of Things (IoT), such as smart watches, medical implants, and smart refrigerators, has empowered researchers to view these developments of science and technology from the research perspective. The breakthrough of accelerated technologies has helped to reshape global research patterns in IoT. Despite the many articles published in research, there is, however, still a lack of bibliometric reports that demonstrate the comprehensive research patterns of the IoT. This study seeks to assess the world’s research activities on the IoT by observing the gaps through a thorough research pattern of the IoT research practices. The analysis of more than 1000 articles that were published between 2009 to 2019 in the ISI Web of Science (WoS) database was performed through the bibliometric approach. The outcome showed the global research pattern of the activities in the following forms: notable journals, foremost articles, research areas, influential institutions, most prolific countries, authors productivity, keywords and network collaborations. A closer inspection of the bibliometric analysis also showed that a comprehensive analysis is significant for measuring the degree of activity in research patterns.
Keywords:	Bibliometric, Internet of Things, Security, Review, Web of Science
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	DEVELOPMENT OF DUAL-BAND ENCRYPTION FOR WLAN SECURITY
Author:	SAED THUNEIBAT
Abstract:	Nowadays there is a large amount of information that needs to be communicated securely such as military and governmental issues over WLAN for example AD HOC network. In this paper, we propose the dual-frequency band cryptography with frequency hopping technique. By implementing the proposed method, we can create a system that can be protected from harmful intentions. While numerous WLAN security techniques have been presented in previous research, to our knowledge, no similar simple and effective methodology for WLAN encryption has been previously proposed. Our invention is the creation of a new methodology based on the transmitting data and keys separately by dual-frequency band. Simulation results validate the advantage of the proposed dual-band encryption for WLAN security.
Keywords:	AES, Dual-Frequency Band, WLAN, Cryptography, Symmetric technique.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	ADAPTIVE WHALE OPTIMIZATION BASED SUPPORT VECTOR MACHINE FOR PREDICTION OF AUTISM SPECTRUM DISORDER
Author:	S. MALATHI, Dr. D. KANNAN
Abstract:	Autism Spectrum Disorder (ASD) is a prominent form of neurological disorder that impairs a person's ability to engage socially and interact effectively with others. ASD is also characterised by a tendency toward repetitive and restricted behaviours. The costs associated with autism can rise during the time it takes to get a diagnosis and begin treatment, but many of these expenditures are long-term and will remain with a person throughout their lives. Optimization and machine learning methods have been used in many different industries and professions in an effort to improve results.In this paper, an bioinspired optimization-based classifier namely Adaptive Whale Optimization based Support Vector Machine (AWO-SVM) is proposed for precisely detect ASD. AWO-SVM performs classification after optimization phase gets complete. AWO-SVM involves three different phases namely Exploitation Phase, Exploration Phase, and Classification Phase. Each phase of AWO-SVM plays a major role to predict ASD more accurately. The metrics "accuracy" and "F-Measure" are used to evaluate AWO-SVM on three distinct ASD screening datasets. When AWO-SVM results are compared to those of other classifiers, it is clear that AWO-SVM is superior in terms of accuracy in predicting ASD.
Keywords:	Autism, ASD, Optimization, Classification, Whale, SVM
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	DETECTION OF OMICRON VIRUS BASED ON CONVOLUTIONAL NEURAL NETWORK
Author:	EMAN M. ALI, MAI A. ELNADY, ALIAA K. ABDELLA, RASHA A. ELSTOHY
Abstract:	COVID-19, an upper respiratory viral infection, is spreading too quickly and is now found almost everywhere on the planet. A chest x-ray and RT-PCR are used to confirm Covid-19. However, resource constraints in developing countries make this difficult. This paper aims to monitor infection in Egyptian's lungs using chest X-rays and convolutional neural networks in the early-stage detection. The omicron chest X-ray dataset is gathered from public records along with hospital and doctor arrangements that are approved by their patients to achieve our goal. The classification mission's backbone is a classic neural network (CNN), which benefited from its speed while deep networks are being trained and reduced the impact of vanishing gradient problems. Images are resized and pre-processed to improve sharpness and contrast before being used to validate the proposed system. Meanwhile, by feeding images into a deep neural network, infectiousness can be predicted. The deep learning measurement's receiver operating characteristics (ROC) region under the curve is 0.9888, with 96.2 percent sensitivity, 98 percent accuracy, and 100 percent precision, according to the findings. It has been demonstrated that the proposed system can be easily modified to increase efficiency by adding additional images (normal and infected). As a quick alternative to the current PCR-based method, the proposed system offers a significant advantage to all nations in terms of screening and diagnosing OMICRON.
Keywords:	COVID-19, OMICRON, CNN, Dimension Reduction, Haar, Image Classification, X-RAY.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	THE IBU-HEBAT HOUSEWIVES COMMUNITY REALITY CONSTRUCTION ON INSTAGRAM
Author:	RIEZCA KARTIKA DARA APRILINA, Z. HIDAYAT, YEANY NURANY, ROBBY MARCELINUS NANI
Abstract:	The development of the internet gave rise to other social media that the community likes. Instagram is one of the most common examples of social media. Various communities use Instagram as a medium for sharing aspirations. This article aims to discuss the involvement of housewives as a community in the construction of social reality that can build interaction and communication in capacity building from various aspects of social life. A qualitative approach with the phenomenological method is carried out to determine the depth of individual experience in the community. Interviews and observations were conducted on 40 participants in several cities in Indonesia. The semi-structured interview at the beginning of data collection aims to identify the dimensions of the analysis including sharing experience and knowledge, cohesiveness on social media, self-development, product consumption, and self-presentation. The results showed that with the construction of housewives’ reality in the community, they shared and interacted about knowledge and experience with each other to create values of compassion in the community on the Ibu-hebat Instagram account. Each of these things fosters the construction of the reality of housewives in shaping themselves as parents in developing their social life.
Keywords:	Construction Of Reality, Indonesian Housewife, Instagram, Online Community, Social Media
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	DEMOCRATIZATION OF INFORMATION TECHNOLOGY SERVICE FOR HIGHER EDUCATION INSTITUTES
Author:	CHANITA SATTABURUTH, PRACHYANUN NILSOOK
Abstract:	In the digitalization era, the role of Information Technology Services (IT Services) for Higher Education Institutes (HEIs) is driven by the demand for the use of such data and access to information. Nowadays, information is diverse and constantly transforming. An IT Service that meets the needs of academic users is therefore important. In this research, different patterns of information technology service are studied by synthesizing the democratization of information technology and IT Services, and by analyzing the components of the democratization of IT Services for HEIs according to international standards such as ITIL, COBIT5, and ISO 20000. This is followed by an evaluation of the democratization of IT Services for higher education institutes. The analysis of the democratization of IT Service for HEIs, this research finding to consist of eight components that develop the administration process. The optimum IT Service provided for HEIs and organizations is supporting the policy and the democratization of information technology also encourages academic management to increase competitiveness in strategic areas to achieve the objectives of institutes and organizations. It also develops the potential of academic institutes so that they can become superior to competitors in the business arena.
Keywords:	Democratization of Technology, Information Technology Service, Data Management, Higher Education Institutes (HEIs), University
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	METHOD FOR DETERMINING EFFECTIVE TYPES OF NEURAL NETWORK MODELS FOR RECOGNITION OF CYBER ATTACKS BASED ON PROCEDURAL RULES
Author:	I. BAPIYEV , A. KHAMZINA , A. KASSYMOVA , G. KHAZHGALIYEVA , V. RAMAZANOVA , Zh. BAGISOV
Abstract:	The article touches upon the ways of developing neural network systems for recognizing cyber attacks on network resources of information systems. It is shown that a promising way of such development is the elaboration of rules for determining the effective types of neural network models. The expediency of determining effective types of neural network models based on the consistent application of three rules is substantiated. The first rule allows you to determine the set of valid models from the set of available types of neural network models. The definition of admissibility is implemented on the basis of comparing the minimum possible training time of the type of neural network model with the maximum admissible training time. The second and third rules, formed on the basis of a multi-criteria approach, allow us to select many effective types of neural network models from the set of valid ones, and then determine the most effective type of them.
Keywords:	Neural Network Models, Cyber Attacks, Network Resources, Procedural Rules
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	REAL TIME ORDERED-UNORDERED SESSION KEY DISTRIBUTION SCHEME FOR IMPROVED DLP AND IRM IN CLOUD ENVIRONMENT
Author:	PAVITHRA P, HARIHARAN B, WILFRED BLESSING N.R
Abstract:	The problem of Data Loss Prevention (DLP) and Information Right Management (IRM) has been well analyzed towards security development in cloud. The walls of cloud security enforcement hide the user’s personal data from the service provider which challenges them in maintaining data secrecy as well as data leak.Such loosely coupled nature allows the cloud users in generating different threats against various Quality of Service parameters. Towards DLP and IRM, different approaches are furnished in literature but suffer in achieving expected QoS values. does not know much about There exist numerous techniques to handle the security problem, but suffer to achieve To handle this issue, an efficient real time Ordered-Unordered Session Key Distribution Scheme (ROUSKDS) is presented in this article. The article is focused on using different secret keys in various sessions to restrict malformed access as well as restricting information leakage. In the focus to improve the performance of data loss prevention and information right management, the proposed model generates keys for various services for the session according to the result of Ordered-Unordered Shuffling (OUS) scheme. The method maintains number of keys for various services and shuffle the session keys either in a ordered way or unordered way. Similarly, the model uses Dual Mode Information Right Management (DMIRM) to restrict the user from malicious access. The method measure the trust of user at key level trust and access level trust values. Based on these values, the method restricts the malformed access to improve the performance of IRM.By maintaining various secret keys towards different services in various time stamp, both IRM and DLP process can be enhanced. The proposed method improves the performance of DLP and IRM which in turn improves the performance of cloud.
Keywords:	Cloud Security, DLP, IRM, OUS, DMIRM, Access Restriction, Trust Measure.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	THE SYSTEM OF FINDING PEOPLE IN AN EMERGENCY SITUATION
Author:	ARDAK AKHMETOVA, ASSEM SHAYAKHMETOVA, ALIBI KHABDUALI, MARAT SHURENOV, ANAR SULTANGAZIYEVA
Abstract:	Nowadays the issue of maximum survival of people in a fire and their immediate evacuation is still under consideration. In this regard, many different methods are offered from all over the world — intelligent devices and intelligent wireless systems. We have considered this issue in detail. The main goal is using time efficiently, inform people regularly and take them out, reduce human casualties. The article also describes the concept of an emergency and its causes. The article discusses in detail modern methods of detecting people and navigation in case of fire, and also clearly describes using of wireless equipment and intelligent algorithms. It also shows the system architecture, goals, tasks and solutions. Examples are given of why this research is important and useful for people. The article provides information about using sensors. There are tables of their usage, interconnection, wireless communication with the central server. As a result, a system was created that works on the basis of electronic signs indicating the direction to a safe place in case of an emergency. It receive the signal from the central server.
Keywords:	Sensor, Algorithm, System, Wireless Sensor, Microcontroller
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	MEASUREMENT SOLUTIONS IN THE ENTERPRISE ARCHITECTURE LITERATURE: A METROLOGY EVALUATION
Author:	AMMAR ABDALLAH, ALAIN ABRAN, MÓNICA VILLAVICENCIO
Abstract:	The literature on enterprise architecture (EA) proposes several measurement solutions to demonstrate the benefits expected by aligning IT initiatives with business objectives. This study presents the first evaluation of these EA measurement solutions by applying a metrology-coverage evaluation method based on evaluation theory, metrology guidelines, and best practices from the software measurement literature. This evaluation method was applied to four EA entities (EA architecture, project, program, and framework) and identified strengths and weaknesses in the theoretical and empirical designs of the proposed EA measurement solutions. This research will assist EA practitioners in understanding the limitations of the measurement solutions proposed and select those with stronger designs. EA researchers can also leverage these evaluation results to improve the current designs of the EA measurement solutions and propose new ones with a stronger metrology foundation.
Keywords:	Enterprise Architecture (EA), Software Engineering Measurement, Metrology, Metrics.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	IMPROVED PERFORMANCE OF CLOUD ENERGY USING CONTAINERIZATION WITH MULTIPLE MANAGERS AND CONSENSUS ALGORITHM
Author:	MS. VASANTHA KUMARI N, DR. SHANMUGARATINAM
Abstract:	One of the favored topics in data centers and web application developers today is Containerization. Within the path of reducing the energy in cloud data centers virtualization is one among the important solution for minimization of energy in cloud. In recent trends of software data centers, Docker container is hottest tool used for Virtualization. In this paper, main concern is to construct the cluster node and schedule for docker containers. With the adverse use of containers by IT administrators and developers, cluster nodes are often established as one virtual machine. Docker is an open source engine which was introduced by Docker Inc. in 2013 under apache 2.0 license. The most objective of the Docker is to make an environment where programmers develop the code efficiently. A recent trend in docker technology with the introduction of tool called Swarm which extends its feature to numerous swarms in multiple clouds. Swarms of Docker containers with multiple managers help guarantee high service availability and improve election time during execution using Consensus Algorithm. Swarm with multiple managers, performance is improved with the algorithm. When there are increased numbers of managers any failures of the node are often recovered without downtime. This paper also explains about model of constructing a virtual system on multiple clouds in distributed systems. It also discusses about novel methodology for traditional virtualization.
Keywords:	Docker, Swarm, Cloud, Container, Virtual Machine
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	AUTOMATED SATELLITE AND UAV IMAGE PROCESSING SYSTEM FOR EMERGENCY DETECTION IN KAZAKHSTAN
Author:	OLGA SHVETS, DANIYAR KALIEV, GYÖRGY GYÖRÖK
Abstract:	The investigation is aimed at supporting decision-making in emergency situations using modern information technologies on the example of the Republic of Kazakhstan. The object of the study is a series of satellite or UAV images prepared for analysis. The subject of the study is the identification of emergency situations using an image from satellite or UAV. The purpose of the work is to develop algorithms for processing images obtained as a result of images from a satellite or UAV, providing a solution to the problems of "machine" vision to detect emergency situations. The following tasks had been solved to achieve this goal: researched image recognition technologies for identifying emergency situations; methods and models for detecting an object by external signs are selected; algorithms for preprocessing images have been developed; a software package for image recognition was created to detect emergency situations using the C# programming environment. Research methods are based on the principles of automation and control, system analysis methodology, theory of mathematical modeling, digital image processing, pattern recognition, discrete transformations, modeling using specialized data and image processing packages. A promising direction in solving the research problem for identifying emergencies using satellite or UAV images is the development of a "machine vision" system, the final "product" of which is not the image itself, but the parameters of the controlled process. Thus, for any particular case, it is possible to create a "machine" vision system that far exceeds the capabilities of the human eye, and sometimes even the human as an image analyzer. The creation of a software and hardware complex for processing images from a satellite or a UAV makes it possible to solve the problem of identifying emergencies in vast areas in a relatively short period of time, which can ensure a quick response of the relevant services.
Keywords:	Image Processing, Automation, Ecological Monitoring, Emergency Situation, Fuzzy Logic
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	ASSESSING AND REVIEWING OF CYBER-SECURITY THREATS, ATTACKS, MITIGATION TECHNIQUES IN IOT ENVIRONMENT
Author:	AZZAM M. ALBALAWI, MOHAMMED AMIN ALMAIAH
Abstract:	Despite Internet of Things (IoT) technology has a great potential to connect devices and sensors through communication media, such as Wi-Fi, to the internet and customized applications. However, it is vulnerable to cyber security attacks. Thus, integrating IoT technology requires attention to the increased cybersecurity threats. Based on above, this study has several objectives: (1) to review the common types of cybersecurity threats and attacks on IoT and (2) to review the suitable mitigation techniques for IOT threats and attacks. A systematic review has been conducted on 35 recent paper which have published in top ranking journal like IEEE, Elsevier and Springer. Based on our findings, which indicates that Jamming attack is the most common threats on the perception layer or sensors layer, and DoS/DDoS attacks are the most common method at the Network and Application layer. In addition, the results indicate that the most suitable mitigation technique for addressing the IOT attacks is the authentication technique. In addition, some of studies have been employed the AI methods to reduce IoT threats to reduce risks that cannot be addressed with traditional mitigation techniques. Finally, few of IOT studies used the blockchain technology for mitigating the cybersecurity threats and attacks in IOT environment.
Keywords:	Internet of things(IoT), Cybersecurity, Threats, Attacks, Mitigation Techniques, Countermeasures
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	AN ENHANCED MUDI-STREAM ALGORITHM FOR CLUSTERING DATA STREAM
Author:	MAYAS ALJIBAWI, MOHD ZAKREE AHMAD NAZRI, NOR SAMSIAH SANI
Abstract:	Streaming data applications are common due to the advancement of technology to continuously capture or produce data, such as sensors for temperature, humidity and precipitation observations, social media or chatbots. These data applications receiving massive data in real-time requires an efficient algorithm and sufficient memory for analytics. Internet-of-Things (IoT) technologies embedded in a system requires a robust algorithm for clustering the streaming data to support decision making by analysing the historical sensor payloads. The MuDi-Stream algorithm, a density-based method, has emerged as one of the important methods for clustering data streams. The main issue with MuDi-Stream is the number of empty grids increased with the dimensional number or the increase of the streaming speed, making it less efficient when handling high-dimensional data. Furthermore, each point that came to a grid in the online phase will be saved, and with time, these points will consume larger memory space. To overcome these issues, we proposed an enhanced version of MuDi-Stream, coded as eMuDiS. Several benchmark datasets have been used in this study, and the performance of eMuDiS is compared to the state-of-the-art methods, including MuDi-Stream. The experimental results show that the proposed eMuDiS has better memory allocation performance than the MuDi-Stream.
Keywords:	Clustering, Data Stream, Multi-Dimensional, Density Grid, Stream Speed.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	NOVEL TECHNIQUES FOR COMPONENTS CLASSIFICATION AND ADAPTATION
Author:	Dr.SAMPATH KORRA, Dr.V.BIKSHAM
Abstract:	More than thirty years have passed since the software introduced the idea of reuse. There are many successful cases that have been reported, but people believe that the programs are still in the re-development phase and are not reaching its full potential. The software requires us to anticipate the future needs of software systems so that new units can be built, some functions, features are fragmented and reused easily by the engineers. These tools are designed to achieve this aspect of software reuse through component adaptation and enhance existing applications. Use software information to reuse a large number of platforms and tools in the presence. This work does not think of the classification based on the naming services and components, but this work tries to use the most relevant features of components such as software developers and it explains the functional requirements to make a definite decision. In the way, the proposed algorithm is very generic and widely available to all technologies. It is only for a short period of time for the selection of software components and all types of services.
Keywords:	software reuse, architecture, domain engineering, indicators, components.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	THE ROLE OF TRUST AND SATISFACTION AS MEDIATORS ON USERS’ CONTINUOUS INTENTION TO USE MOBILE PAYMENTS: EMPIRICAL STUDY
Author:	RADWAN AL-DWAIRI , OMAR AL-ALI
Abstract:	During the period of Corona pandemic, many customers faced some difficulties due to the repeated closures of banks and government institutions, which necessitated them to search for other alternatives like mobile payments to pay their due bills. Consequently, more research is needed to study what factors are important to continue using of such technology. In response, this study used a sample of 880 respondents, then proposed a theoretical model and tested it empirically. Results highlighted the role of trust and satisfaction as mediators which significantly impacted users’ continuous intention to use mobile payments technology.
Keywords:	Continuous Intention, Mobile Payment, Exception Confirmation Theory, Technology Acceptance Model, Satisfaction, Trust, Confirmation.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	FUZZY LINEAR PROGRAMMING PROBLEM IN WHICH FUZZY NUMBERS ARE TRIANGULAR SOLVED BY FOURIER MOTZKIN ELIMINATION METHOD
Author:	C. KAVITHA, K. BHUVANESWARI, S. MAHESWARI, R. PARAMESWARI, PRIYA SHIRLEY MULLER
Abstract:	The goal of this research is to investigate a method for solving a fuzzy linear problem using triangular fuzzy numbers. The Fuzzy Fourier-Motzkin elimination technique for triangular fuzzy number is proposed in this research work to address the fuzzy linear programming problem, which is based on the concept of bounds. If the objective function is non-linear and the constraints are all linear, this approach can be used to solve the problem. The approach solves systems of inequalities to find the best solution for the fuzzy linear programming problem using triangular fuzzy numbers. In comparison to the standard simplex method, the suggested methodology is more computationally efficient and easier to grasp. The approach is explored in depth and shown using a numerical illustration. The development of numerical techniques is prompted by the decomposition of a fuzzy based linear system into its equivalent crisp linear form, which can then be solved using Fourier-Motzkin methods is useful. The consistency of the fuzzy linear system using the given approach is checked. The approaches are novel and it is applied in a variety of scientific fields where ambiguity occurs.
Keywords:	Fuzzy Linear Programming Problem, Fourier Motzkin Elimination Method, Triangular Fuzzy Number, Linear Inequalities, Optimal Solution.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	DESIGNING A NEW BUSINESS MODEL FOR MOBILE GAMES AND E-BOOK CONTENT PROVIDER
Author:	THEDA WIDJAYA, VIANY UTAMY TJHIN
Abstract:	Content providers (CP) are one of the businesses that face many problems in Indonesia, there are many frauds such as credit theft to many users, but on the other hand content providers have a subscription business model which is one of the most growing and very promising businesses in the future. All over the world, especially subscription services have dominated the entertainment world, especially the world of mobile games, but Indonesia as a developing country and has a very fast growth in the game industry has not become a major player in this industry. This article will design a new business model for CP companies in Indonesia using the Business Model Canvas (BMC). Therefore, in this paper, we will design a new business model for content provider companies in Indonesia that sell mobile games, change the subscription-based business model using a BMC to describe the business feasibility of content providers, and increase consumer confidence in CP's business. The results of this paper are expected to be a guideline and reference for use by all content provider businesses in Indonesia.
Keywords:	Content Provider, Business Model Canvas, Subscription Business, Mobile Games, Business Model
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	MODEL-BASED RESILIENCE PATTERN ANALYSIS FOR FAULT TOLERANCE IN REACTIVE MICROSERVICE
Author:	MUHAMMAD MIRAJ , AHMAD NURUL FAJAR
Abstract:	In designing the application, it must be robust, meaning that the application design must be able to cope in the event of a failure. The failure here is more of a failure in communication between microservices. Overcoming communication failures between microservices is one of the most difficult problems to solve, especially in distributed systems. In this study, we use a resistance pattern consisting of a circuit breaker, bulkhead pattern, timeout pattern, and retry pattern to test which resistance pattern has a better response time and throughput when there is a failure to communicate between microservices and it can be concluded that the circuit breaker and the timeout pattern has better response time and throughput compared to other resilience patterns.
Keywords:	Microservices, Resilience Pattern, Reactive, Fault Tolerance, Architecture TradeOff Analysis Method
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	ARE HEALTH APPLICATIONS USEFUL FOR SOCIETY TO EXERCISE?
Author:	NUR CAHYADI PERDANA, AHMAD NURUL FAJAR
Abstract:	In the current era of globalization, the health industry is one of the industries that has made information technology the main facilitator of its business activities. One company, PT. XYZ is also developing a health application, based on the results of interviews with managers from PT. XYZ, two main problems regarding this Health application were obtained, namely data synchronization which takes a long time and the application is difficult to detect trackers. Even though as many as 57% of users in Indonesia utilize health applications, or about 95 million Indonesians are Health application users, based on the number of Health application users at PT.XYZ, only 0.1% of the number of Health application users in Indonesia. this is the background of PT. XYZ's health application research to evaluate whether the Health application in providing services has been able to influence the user's health and also whether the Health application can be said to be a useful system by using the success model reference from DeLone & McLean and the Unified model. Theory of Acceptance and Usage of Technology (UTAUT). After analyzing, the results obtained from this study are that 3 hypotheses do not have a significant effect and the hypotheses that do not have this influence are system quality on use, system quality on user satisfaction, and effort expectancy on user satisfaction.
Keywords:	Helath Application, DeLone & McLean, Unified Theory of Acceptance and Usage of Technology (UTAUT), Mobile Application
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	A NEW MATHEMATIC MODEL FOR HUMANITARIAN PHARMACEUTICAL SUPPLY CHAIN TO REDUCE OBSOLESENCE COST
Author:	MOHAMED LAHJOUJI, AZIZ AIT BASSOU, JAMILA EL ALAMI, MUSTAPHA HLYAL, OMAR LAHJOUJI
Abstract:	The unused drugs in Humanitarian supply chain (HSC) can lead to significant financial losses and environmental damages. It can also be the target of criminal organization for counterfeiting activities. This research aims to investigate a new model that’s gives more responsibility to pharmaceutical companies to keep control on excess medications at recipient countries. It consists of motivating the humanitarian logistic provider to facilitate leftover returns. We have explored the game theory through studying the mathematical models of “non-cooperative” and “cooperative” decision-makers. A novel composition of “incentive/bonus allocation” and “Tax/penalties sharing agreement” is introduced to reach the expected level of synergy. The numerical analysis shows that using the “cooperative” model can enhance the whole HSC revenues, maintain sustainability commitment, and better serve vulnerable patients.
Keywords:	Humanitarian Supply Chain, Reverse Logistic (RL), Cooperative Decision-Making, Pharma Expired Drugs, Global Health Institution
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	IOT WEIGHT DATA DENOISE BASED ON EXPONENTIAL MOVING AVERAGE AND OUTLIERS
Author:	HARRY SURYA, ABBA SUGANDA GIRSANG
Abstract:	The emergence of Internet of Things (IoT) has delivered a new perspective about how technology can accomplish human needs, IoT primarily used to deliver rapid stream of data from sensors to variety options of storage system and used it to accomplish objective of the development. As a result of that, IoT may occurs an unavoidable challenges of data noise. In this paper we will present our result of data noise removal approach based on data stream of IoT scale machine that we built. Outliers and window functions will be used to pre-processing the raw data of IoT, by applying this approach, we aim to deliver a better data in the pre-processing phase as an effort to eradicate the data noise problem in IoT sensors. IoT device that we built was using NodeMCU microcontroller, HX711 amplifier and 200 kg loadcell. We also comparing Exponential Moving Average (EMA) to other Window Function to deliver an insight for reader of EMA performance across other window function.
Keywords:	Data Noise, IoT, Outliers, Window Function, Exponential Moving Average
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	EVALUATION IMPLEMENTATION OF UI / UX IN MONITORING & CONTROLLING STUDY IMPROVEMENT WITH USER-CENTERED DESIGN METHOD
Author:	NATASHA JOESPHINE, RICKY MARTIN, YOGA, TANTY OKTAVIA4, DAVID SUNDARAM
Abstract:	Implementing UI/UX Adjustments to Control & Monitor What Users of All Ages Can Understand is much easier as it takes a lot of deliberation. So organizations need to know whether the UI/UX applied can understand all users' ages. Users aged 40 and over are struggling with the current UI/UX appearance. Therefore, this study aims to fight for UI/UX adjustments for Controlling & Monitoring that are reachable and understandable by users of all ages. The evaluation will begin by conducting data collection using the Behavioral – Qualitative, Questionnaire and Interview methods. After all the data has been collected, a UI/UX analysis will be made, focusing on the approach through a discussion process with users or the User-Centered Design method. Data was collected using questionnaires and interviews, then analyzed with the help of Heuristic Evaluation. To get the results achieved, a comparison will be made between the design before implementation. So that users can find out which factors make a design that is suitable for users of all ages. After which factors in creating a suitable design for all ages, and organization will make recommendations to improve the design. Based on the research results, it can be concluded that Overall, Parents need a Monitoring & Controlling Learning Progress Application with a simple and easy to understand UI/UX Design for Monitoring & Controlling their child's Learning Progress; Usability factor is not significantly influenced by external factors Learnability, Memorability, and Satisfaction. This is because these factors do not affect parents' views about the UI / UX of the application, but the parents see from the functions or features provided by the application itself. In addition, other external factors have a significant effect on Usability, namely Efficiency and Error, meaning that the efficiency and errors that occur in the application can affect parents in using the Monitoring & Controlling Learning Progress application; Overall, Parents are more concerned with scheduling features/child activities for Monitoring & Controlling Learning Progress Applications with UI / UX Design.
Keywords:	UI/UX, User, User-Centered Design, Heuristic Evaluation, Implementation, Adjustment, Evaluation, Controlling, Monitoring
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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Title:	BIG DATA ANALYTICS ADOPTION AT HIGHER EDUCATION INSTITUTIONS IN IRAQ
Author:	MOHAMMED GHAZI NAJI, NUR FAZIDAH ELIAS, MENG CHUN LAM, GHASSAN A. O. ABUSAMHADANA, NOR AZLAN AHMAD
Abstract:	As data drives the digital evolution, the role of big data becomes increasingly essential. Big data is making its presence known in almost every industry and has the potential to transform the business world and society on a large scale. Given that the higher education institutions in Iraq are still in the early stages of using big data, studying factors affecting big data analytics (BDA) adoption in Iraq is critical and timely. Grounded in the Technology-Organization-Environment (TOE) framework, an integrative model was developed to study factors affecting the adoption of BDA. The Technological Context was measured by the relative advantage, compatibility, complexity, and data and information quality factors. The Organizational Context was measured by the top management support, the intensity of organizational learning, and organizational readiness. Lastly, the Environmental Context was measured by the security/privacy regulatory and institutional policy and regulatory factors. The proposed model was tested using a survey with data collected from 352 lecturers from three Iraqi universities. Results indicated that the three elements, Technology-Organization-Environment, significantly influence the intention to adopt BDA. The R2 of 0.514 was reported in the analysis. This study gives a new look into the factors that influence BDA adoption, giving insight into promoting and inhibiting BDA adoption that can benefit higher education institutions. This study’s findings would help both the ministry and higher education institutions in Iraq to plan and implement high-impact strategies from the Technological, Organizational, and Environmental Context to increase participation and use of BDA in the future.
Keywords:	Adoption, Big Data Analytics, Critical Success Factors, Higher Education Institution, TOE Framework
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2022 -- Vol. 100. No. 09 -- 2022
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