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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 Informtion Technology
December 2021 | Vol. 99 No.24

Title:	PREDICTION LASER BEAM EFFECT UNDER HAZY WEATHER FOR FREE SPACE OPTICAL PROPAGATION
Author:	A.K RAHMAN, TAMRIN F.K, SAHARI S.K, ZAMHARI N
Abstract:	This paper focus impact of haze in free space optic transmission focusing on Malaysia-Indonesia region. Haze is one of the factors that contributed to atmosphere attenuation that can affecting this system’s performance. It will cause the beam propagation will attenuate and wander from line of sight. Ultimately drag the transmission into burst error. The analysis is carried out using simulation optical software with original data. In the simulation, analyses are carried out looking in bit error rate, eye diagram pattern and received power at receiver. From there, the prediction of laser beam effect can be estimated. The performance for free space optic transmission will investigate under different parameters values such as wavelength, visibility, receiver sensitivity and beam divergence are analyzed. From the result, as increases the haze effect it will deteriorate the signal beam. The system maximum system can support to operate is attenuation at 45 dBm/km.
Keywords:	Haze, Laser Beam, Free Space Optic, Bit Error Rate
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	UNDERSTANDING CLOUD BASED ENTERPRISE RESOURCE PLANNING ADOPTION AMONG SMES IN JORDAN
Author:	ABDALWALI LUTFI
Abstract:	The purpose of this research is to empirically examine the factors influencing the intention to adopt cloud based Enterprise Recourse Planning (CB-ERP) as well as the moderating role of trust on the interrelationship. A quantitative approach through a survey questionnaire was conducted to measure the collected data. The data of 117 participants were gathered using online-based survey questionnaires. Besides, this study adopted the Smart Partial Least Square Structural Equation Modeling (Smart PLS-SEM), where the data analysis took place to test the hypotheses. Furthermore, to support the finding, this study proposes a theoretical model based on Technology acceptance model (TAM). The finding PLS-SEM analysis pointed out that all proposed factors have a significant effect on intention to adopt cloud based Enterprise Recourse Planning. Additionally, this research found that trust has a significant impact on the relationship between determinants and intention to adopt CB-ERP at SMEs in Jordan. Finally, some practical and theoretical contributions to cloud computing literature, research limitations and future research directions are provided.
Keywords:	CB-ERP, Technology acceptance model (TAM), Self-efficacy, Social influence, Trust, SMEs, and Jordan
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	LOCALIZATION DETERMINATION FOR RADIO COMMUNICATION USING TDOA TECHNIQUE
Author:	ABDUL HADI RAMLI, NOR FADZILLAH ABDULLAH, MAHAMOD ISMAIL, ROSDIADEE NORDIN,
Abstract:	Localization for communication radio very important for commercial or military especially for search and rescue response, military intelligence and commercial service during national disaster incident for the past and future years. This paper mainly works on analyzing constrained optimization approach to determine localization hybrid technique bearing approach Frequency Difference of Arrival (FDOA) and Time Difference of Arrival (TDOA) to detect any targeting by sensor in each static surveillance station. Basically, FDOA and TDOA method for detection any signal processing measurement data required solve for the emitter’s location and target whether static or movement. Localization of an emitter using in civilian applications, government, industrial aerospace or commercial and military missions depends on locating platforms measure the electromagnetic spectrum and extracted signals for processed and analyse to the target’s location. Emitter Localization using TDOA is a classified into a long-range and short-range distance depends on techniques and location of all the transmitters near the target by radio frequencies. The techniques of localization correspond to the range radio transmitter and receiver whether approach of FODA or TDOA by pair to of a sensors or receivers and the emitter location on the hyperbola corresponding to this range influence by technology and network architecture utilized. Localization in this paper to how measurement within some local coordinate system or by latitude and longitude on the Earth’s surface which uses the time of arrival of signals where the radio communication whether transmitter and receiver within distance by kilometres. This localization method for detect any target by radio communication both Malaysian Peninsular and Malaysian East and have been used to simulate model with fixed input parameters. Then we proceed analyse data to gain estimation of target observed depend on distance and hearbility accuracy and CDF plot can shows the performance of localization by TDOA of Matlab simulation results were presented.
Keywords:	TDOA, FDOA, Emitter Location, Location Fix, Deployment Scenario, Correlation, Time Synchronization, DDC.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	HOW AUDIT FIRM SIZE MODERATE EFFECT OF TOE CONTEXT TOWARD AUDITOR ADOPTION OF MACHINE LEARNING
Author:	BAMBANG LEO HANDOKO
Abstract:	In the era of the industrial revolution 4.0, business is increasingly moving towards digital. More big data companies have emerged, which require audit services. This also makes auditors have to develop, not only using manual systems but also using information technology assistance such as artificial intelligence and machine learning. The purpose of this study was to determine the auditor's acceptance of the use of machine learning in facing industry 4.0 to assist them in client financial statement audit. This research instrument refers to Technology Organization Environment (TOE) approach, and audit firm size. This research is a quantitative research that uses primary data in the form of questionnaires distributed to research objects, which is auditors who work in public accountant offices. This study examines hypotheses between variables using path analysis, structural equation modelling partial least square (SEM PLS), while the independent variables in this study are technology context, organization context and environment context while firm size become moderating variable and the dependent variable are auditor adoption of machine learning. The results of this study are to understand the adoption of auditors in information technology in their work processes. It is expected that it will provide an overview of the auditor's expectations on the use of information technology, so that it able to provide improvement the quality of work to be more effective and efficient, especially in terms of time and energy. The results of this study are expected to provide an overview of the adoption of technology by financial auditors in professional audit firm.
Keywords:	Technology, Organization, Environment, Auditor, Machine Learning
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	LINEAR MODEL OF BOOST CONVERTER WITH ACTIVE POWER FACTOR CORRECTION
Author:	EDILBERTO CARLOS VIVAS, EDWAR JACINTO GÓMEZ, GABRIEL DE JESUS CAMARGO
Abstract:	This paper describes the methodology for finding a Boost converter's linear mathematical model with active power factor correction. The linear model obtained is stable in an open-loop and contains a zero's located in the right half-plane. The Matlab-Simulink power electronics toolbox was used to verify that the linear model adequately represents the system dynamics around the operating point and that the power factor is close to unity. Otherwise, this article develops the complete model of the modulator-converter set in peak current mode; consider the disturbance generated by variations in the input voltage. In addition, the general scheme that allows the input current to the converter to have a sinusoidal waveform and correct the power factor is modeled. The total mathematical model obtained from the multiplier-modulator-converter set makes possible the design and implementation of different automatic control techniques.
Keywords:	Boost Converter, Power Factor Correction, State Space Model.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	KINEMATIC AND DYNAMIC ANALYSIS OF A DIFFERENTIAL ROBOTIC PLATFORM WITH CATERPILLAR TRACKS
Author:	CESAR A. HERNANDEZ S., DIEGO A. GIRAL R., FREDY H. MARTÍNEZ S.
Abstract:	Caterpillar tracked mobile robots are of wide utility in tasks that require movement in flat, dry environments, with a minor to medium degree of irregularity, and with a relatively high load capacity requirement. Such is the case of robots intended for military applications (e.g., for transporting military equipment), industrial applications (e.g., mobile manipulators), or service applications (e.g., surveillance and care of people). In this sense, it is important to correctly identify the kinematic and dynamic characteristics of such robots to project their possible use in the development of certain tasks, as well as their expected performance. This paper describes the kinematic analysis of the ARMOS TurtleBot 1 robot, a robotic platform developed by the research group for the development of human services tasks. This robot has four caterpillars for its displacement, each of them receives movement from its own DC motor. However, by design, the tracks on each side work synchronously, so the robot has a non-holonomic differential drive. The analysis of the platform consists of the development of two models derived from kinematic analysis and dynamic analysis. In the first case, the motion of the platform is analyzed without considering the forces that affect it, and in the second case, the forces that are responsible for the displacement of the robot are studied. In the end, the equations of the models are presented and contrasted with the real behavior in the laboratory.
Keywords:	Caterpillar Tracks, Differential Drive, Dynamic Analysis, Kinematic Analysis, Non-Holonomic, Service Robots
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	A NOVEL MACHINE LEARNING-BASED APPROACH FOR DETECTING WORD-BASED DGA BOTNETS
Author:	XUAN HANH VU, XUAN DAU HOANG
Abstract:	Recently, Domain Generation Algorithm (DGA) has been becoming a popular technique used by many malwares in general and a large number of botnets in particular. DGA allows botnet owners to automatically generate and register domain names for their Command and Control (C&C) servers to avoid being blacklisted and blocked. Botnets and especially DGA botnets are associated with many types of dangerous attacks, such as large-scale DDoS attacks, email spamming and APT attacks. Due to the wide-spreading and serious consequences of DGA botnets, several approaches based on statistics and machine learning techniques to detect DGA botnets have been proposed. Although some machine learning-based approaches achieve high overall accuracy in detecting general or character-based DGA botnets, they fail to detect some kinds of DGA botnets, including word-based or dictionary-based botnets. These botnets usually use pre-defined English word lists to generate meaningful domain names for their C&C servers, which look almost similar to legitimate domain names. This paper proposes a novel machine learning based approach for effectively detecting word-based DGA botnets. The proposed approach introduces a new set of 16 features extracted for each domain name for training and detecting word-based DGA botnets. Extensive experiments on the word-based DGA dataset and the mixed DGA dataset confirm that our approach achieves the F1-score of 97.01% and 95.75% for the word-based and mixed DGA datasets, respectively.
Keywords:	Word-Based DGA Botnet, Character-Based DGA Botnet, DGA Botnet Detection, Word-Based DGA Botnet Detection
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	APPLYING SERIOUS GAME ELEMENTS TO ENHANCE FLOOD SAFETY TRAINING MANAGEMENT
Author:	NURSYAHIDA MOKHTAR, AMIRAH ISMAIL, ZURINA MUDA, AZRULHIZAM SHAPI I
Abstract:	One of the critical elements of catastrophe preparedness could be a training of the disaster responders and a society. However, conducting live disaster training is expensive and la-bor-intensive. Hence, a serious game (SG) may offer a possible solution as a technique of disaster and safety education. Training is one of the areas where by serious games must have a combination of elements may lead to the productive development of serious games. There are serious games that have been developed; however, there is a lack of elements in the game fewer use elements of scenario and feedback. Therefore, this work gamifies the topic of flood safety management an element of predictability that can be utilized as a gaming element involving time limits to reduce the amount of flood destruction and loss of life. This paper aims to describe a process to evaluate the model of a serious game for flood safety training based on the gaming elements using the Inter-Rater Reliability (IRR) method. The overall result of IRR percentage has gained 93% compared to the existing works and has proven. The hypothesis that serious games have a positive impact as a pedagogic tool on the educational and training process.
Keywords:	Serious game; Training; Flood; Preparedness; Inter-Rater Reliability.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	AN EXPECTATION-CONFIRMATION MODEL OF CONTINUANCE INTENTION TO ENHANCE E-WALLET
Author:	CITRA NOVIYASARI, HUDA IBRAHIM. MOHD KASIRAN
Abstract:	During this pandemic era, innovation such as e-wallet should be useful to help the society to reduce the risk by reducing direct contact while doing their business transaction. However, a slow pace of continuance usage especially in Indonesia has attract this study to be carried out. The base framework used is The Expectation-Confirmation Model (ECM) together with trust, hopefully can shed new understanding about the phenomena. Quantitative approach through questionnaire as a tool has gather the data to be processed using Smart PLS. Out of 6 hypotheses listed in this study, only one is being rejected which related to relation of perceived usefulness to continuance of usage. The data collected manage to support the other five hypotheses in which these findings are in line with current knowledge. However, the study has a limitation due to the biased sampling method toward urban population and urban area.
Keywords:	e-Wallet, Continuance Intention, trust. PLS-SEM, pandemic
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	A SURVEY: DEEP LEARNING CLASSIFIERS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Author:	MURALI KANTHI1, T. HITENDRA SARMA, C. SHOBHA BINDU
Abstract:	Hyperspectral imaging (HSI) is a popular subject in remote sensing data processing because of the huge quantity of data included in these images, which enables for improved description and utilization of the surface of the earth by integrating abundant spectral and spatial data. However, due to the high dimensionality of HSI data and the limited number of labelled examples available, conducting HSI image classification poses significant technical and pragmatic hurdles. Approaches to HSI classification with deep learning have gained major successes in recent years as new deep learning algorithms emerge, giving unique prospects for hyperspectral image classification research and development. Initially, a quick introduction to standard deep learning (DL) models is provided, followed by a comparison of the performance of common DL based HSI approaches. Finally, the difficulties and future research prospects are explored.
Keywords:	Remote Sensing Image, Deep Learning, Auto-Encoder, Convolutional Neural Network, Stacked, Deep Belief Network.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	EVALUATION OF THE READINESS FOR INTEGRATED “SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS” EDUCATION IN MOROCCO
Author:	ZINEB BRITEL, ABDELGHANI CHERKAOUI
Abstract:	This paper aims to evaluate the readiness for STEM integration in Moroccan educational programs using the hybrid A’WOT method. The analysis was conducted relying on a group of experts representing the different stakeholders involved. The obtained results show that the existing Strengths and potential Opportunities of the evaluated scenario outweigh the Weaknesses and Threats that may occur. Among the most significant factors identified, we find the availability of infrastructure and resources in schools with the incentive of the alignment with international best practices in STEM education (resp. Strength and opportunity), the required supplementary investment costs and potential resistance to change (resp. weakness and threat). To improve Morocco’s readiness for STEM integration we recommend achieving commitment of all relevant stakeholders through effective communication and a collaborative approach, the development of a relevant curriculum based on best practices in integrated STEM and responding to job market needs, providing STEM teachers with the necessary support, professional development, training and resources, building partnerships and gaining industry support for better learning opportunities for students.
Keywords:	Education; STEM Integration; AHP; SWOT; Readiness
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	DNA SEQUENCE ANALYSIS FOR DISEASE PREDICTION AND TREATMENT BASED ON MACHINE LEARNING
Author:	Romany M. Farag, M. A. El-Dosuky, M.Z. Rashad
Abstract:	Biomedical data management is crucial in biomedical systems. DNA sequence analysis performed to predict diseases. This paper reviews the most recent machine learning methods as employed in the medical field such as K-Nearest-Neighbor (KNN), Gaussian Process (GP) Classifier, Decision Tree (DT) Classifier, Random Forest (RF) Classifier, Multi-Layer Perceptron (MLP) Classifier, Ada Boost Classifier, Support Vector Machine (SVM) and Deep Learning (DL). The paper applies those methods on a standard DNA dataset. The paper proposes a biomedical data management framework. Then the paper introduces Bag-of-Words (BoW) Random Forest (RF), which achieved 100% accuracy compared to other machine learning methods. Furthermore, this paper introduces a treatment protocol recommendation based on DNA alignment and position matrix.
Keywords:	Disease Prediction, Disease Treatment, DNA Sequence, Machine Learning, Biomedical Data Management
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	A BLOCKCHAIN-BASED SYSTEM TOWARDS OVERCOMING FRAUD IN FINANCIAL INSTITUTIONS
Author:	ADAM QURAN, MOHAMMAD QATAWNEH
Abstract:	One of the key activities of financial institutions is lending, the lending activities are dependent on trust between clients and financial institutions. Financial institutions are continuously in the process of growing and expanding to meet the needs of their clients. Therefore, they need to establish an integrated system to reduce risks, and improve lending processes. This paper proposes a new blockchain system architecture, which provides a feasible solution for overcoming fraud in financial institutions through secure exchange of existing and potential client data. The proposed system architecture was implemented and evaluated using real data of National Microfinance Bank (NMB) clients in Jordan. The results show that the system architecture has a strong security level and makes it difficult for attackers to impersonate a legitimate validator, and high performance in terms of less time needed to validate, upload, and appending transactions and blocks to blockchain system.
Keywords:	Blockchain, Consensus Algorithm, Financial Institutions, Fraud.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	THE INFLUENCE OF INFORMATION QUALITY, SYSTEM QUALITY, SERVICE QUALITY ON CUSTOMER SATISFACTION FOR HOTEL ONLINE RESERVATION
Author:	CADELINA CASSANDRA, ALI GUNAWAN, WIZA TEGUH, SUROTO ADI, ANDERES GUI
Abstract:	Tourism products are not just a single business service but consist of complementary products, including tourism products, travel services, hotels, and attractions. Today tourism has become one of the biggest economic boosters for the Indonesian nation. To support this, good accommodation is needed to attract them to come to Indonesia. During this covid-19 pandemic, the tourism sector is in crisis. But now, this industry tried to recover. This situation is a momentum for the hotel to provide their best service and program. This study aims to evaluate online hotel booking to get the most influenced factor and recommend to the hotel. This study is quantitative research by using DeLone and McLean model to measure the factor. The result shows some factors affected customer satisfaction such as Information Quality and Service Quality, while customers' satisfaction does not impact service quality. The result will impact the strategy and recommendation for hotel industry to focus on important factors.
Keywords:	Tourism, Website, Information Quality, System Quality, Service Quality, DeLone and McLean
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	IOT BASED LOW-COST PLATFORM FOR SMART ORNAMENTAL PLANT MONITORING SYSTEM
Author:	MOCHAMMAD HALDI WIDIANTO, ANNISA ISTIQOMAH ARRAHMAH, SAMUEL JASON SANTOSA, GREGORIO KURNIAWAN
Abstract:	While integrating IoT tools with low-cost devices becomes a new challenge, many smart ornamental plant based platforms have emerged and offer innovative solutions for the automation of the ornamental plant care sector. One of the issues in making IoT tools is that the tools are expensive, have no information system, and do not get an assessment to use. To answer this issue, make a smart oriental plants platform called Garnus and test it in real-time with several scenarios in housing in Indonesia, carried out in the period April 2021 to September 2021. Experiments were carried out based on requirements to be carried out in suitability of tools, real-time monitoring, water automation, observing information systems for a long time, testing tools using BlackBox and conducting an assessment of the Website. GARNUS testing in environmental monitoring using sensors below and above the ground. The GARNUS system functions to monitor soil moisture, ambient temperature and monitor water content by installing sensor installations. after that, the sensor data obtained are collected and stored on the GARNUS Website for analysis and storage. To increase the maintenance of expensive ornamental plants. The test results show compatibility with caladium ornamental plants. The system is tested with BlackBox, and The website system has been tested with UEQ (User Experience Questionnaire), which shows good results. This action of GARNUS helps nurse ornamental plants, which greatly increases the productivity of ornamental plants and is very well used by users.
Keywords:	Smart Ornamental Plant, IoT, Low-Cost, GARNUS
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	EXPERIMENTAL ANALYSIS OF HYPERPARAMETERS TUNING ON CLASSIFICATION OF CRIME NEWS IN INDONESIA
Author:	AJULIO PADLY SEMBIRING, SHARFINA FAZA, MAHARDIKA ABDI PRAWIRA TANJUNG
Abstract:	Patterns and trends of criminal acts can be quantified with classification and statistics. This classification uses criminal news headlines from online news media. Every day, online news media post illegal news. It simplifies the classifying procedure. Criminal patterns and trends can be easily identified if law enforcement organizations categorize criminal events based on online news sources. According to previous research, using the correct methodologies and parameters to define illegal activities is difficult in Indonesia. Researchers will utilize a hyperparameter tuning scheme on KNN, Random Forest, and SVM methods to determine the optimal techniques and parameters for the criminal act dataset. The support vector machine is the best classifier for this investigation, both in model and hyperparameter tweaking. In the fourth test, the accuracy value declined by -0.52 percent, and in the fifth test, the accuracy value decreased by -0.52 percent. The accuracy value is -0.15%, and the sixth test reduced it by -0.26%. This decline is because the support vector machine parameter cannot classify string vector data. The random forest classifier gains the most accuracy with hyperparameter adjustment (1.74%).
Keywords:	Analysis, Classification, Crime, Experimental, Hyperparameter
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	QUALITY OF SERVICE IN WI-FI NETWORKS COEXISTING WITH LTE NETWORKS IN UNLICENSED BAND
Author:	ELVIS E. GAONA-GARCÍA, FELIPE A. ZARTA, EDWAR JACINTO G
Abstract:	This paper evaluates the coexistence of LTE and Wi-Fi networks in 5 GHz non-licensed bands. It proposes a model of quality-of-service degradation index on Wi-Fi to measure the performance and latency network. First, Wi-Fi and LTE in 5 GHz non-licensed bands and the carrier aggregation technique are introduced. Then, it discusses the LTE-U and LTE LAA deployment scenarios and the coexistence evaluation model. Further, it provides an indoor coexistence simulation scenario following the recommendations of the 3GPP-TR089 for UDP and TCP FTP transmissions with LTE LAA. This paper is concluded by the Wi-Fi operator's degradation of performance, and network latency was found during its coexistence with the LTE operator.
Keywords:	Wi-Fi, LTE, Throughput, Coexistence, Latency.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	SECURE INITIALIZATION MODEL IMPROVEMENT FOR NFC-HCE SECURITY IN MOBILE PAYMENT SYSTEM
Author:	LN HARNANINGRUM, AHMAD ASHARI. AGFIANTO EKO PUTRA
Abstract:	Near Field Communication (NFC) has two payment ecosystems based on its secure element location: NFC-SIM-SE (Subscriber Identity Module Secure Element) and NFC-HCE (Host Card Emulation). Secure elements in the NFC-HCE ecosystem are currently in the cloud, so they have security weaknesses. One of these security weaknesses is a vulnerability in the delivery process because data is manipulated and used for fake transactions. This security issue of credential data arises because of the bulk amount of data transmission in the cloud. When the information is stored in the smartphone, there is no data transmission over the global network. This credential data stored in a smartphone will later be used for a faster transaction process. We propose a model that puts the secure element to the smartphone and performs multilevel verification to fix its security issues. The proposed model consists of two stages: the account and the card registration stage. The model was tested to determine the security level using random data with the 50.34%avalanche effect,3.99542 entropy, and 0.42048 P-value tests. The test also calculates the processing time for each step, and the result is 0.0025 seconds. The test results show that the encryption process can increase the NFC-HCE ecosystem's security; only verified data could be stored on APL-SE as credential data.
Keywords:	Initialization, Payment Card, NFC-HCE Ecosystem, Mobile Payment, Encryption Process, Security.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	APPROXIMATE MODEL FOR VEHICLE INSPECTION ESTIMATION USING DEEP LEARNING NEURAL NETWORKS
Author:	HOLMAN MONTIEL A., FREDY MARTÍNEZ S., EDWAR JACINTO G.
Abstract:	Periodic revisions of a vehicle are of vital importance to preserve the useful life of the mechanical and/or electrical parts, and thus, reduce the probability that the driver suffers an impasse during a trip. These revisions are performed in specialized laboratories that hold the vehicle for a few days; depending on the number of requests that are being attended at the time, so the driver must wait until there is availability for the attention of his vehicle. Although today there are specialized equipment that optimize the time it takes the technician to analyze the vehicle; these are expensive and difficult to access for a conventional driver who requires a quick test of your vehicle before going out to drive. Therefore, this paper proposes an approximate model that allows the driver to estimate the current state of his vehicle, based on historical information collected from sensors in previous technical reviews. This model consists of a neural network that is responsible for reducing the information from the sensors to a representation that predicts operating parameters, such as the battery level charge, the oil level, the kilometers traveled or the level of O2 present in the exhaust during engine operation.
Keywords:	Deep Learning Neural Networks; Computer Learning; Optimization; Classification; Signal Processing.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	A COMPARATIVE ANALYSIS ON THE PERFORMANCE OF FINITE FAILURE NHPP SOFTWARE RELIABILITY MODEL BASED ON RAYLEIGH-TYPE LIFETIME DISTRIBUTION
Author:	YOO-CHAN RA
Abstract:	In this study, after applying the inverse Rayleigh and Rayleigh distributions which are widely used in the field of reliability to the finite failure NHPP software reliability model, we analyzed the reliability performance together with Goel-Okumoto basic model. For this, software failure time data was used, parametric estimation was applied to the maximum likelihood estimation method, and nonlinear equations were solved by a numerical method. As a result, in the analysis of the intensity function, the Rayleigh model is efficient because the failure occurring rate decreases with the failure time and the mean square error (MSE) is the smallest. In the analysis of the mean value function, all the proposed models showed an overestimated value compared to the true value, but the Rayleigh model showed the smallest error value. As a result of evaluating the software reliability after putting the mission time in the future, the Rayleigh model was stable and high together with the inverse Rayleigh model, but the Goel-Okumoto basic model showed a decreasing tendency. In conclusion, we found that the Rayleigh model has the best performance among the proposed models. In this study, the reliability performance of the inverse Rayleigh and Rayleigh distribution model without the existing research case was newly analyzed, and it is expected that it can be used as a basic guideline for the software developers to exploring the optimal software reliability model.
Keywords:	Goel-Okumoto, Inverse-Rayleigh, Lifetime Distribution, Finite Failure NHPP, Rayleigh, Software Reliability
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	ANALYSIS OF FACTORS THAT INFLUENCE THE SUCCESS IN USE OF STOCK AND MUTUAL FUND INVESTMENT APPLICATIONS IN THE ERA OF DIGITAL TRANSFORMATION
Author:	LAVENIA MARCELLA, TOGAR ALAM NAPITUPULU
Abstract:	The purpose of this study is to analyze the factors affecting the success of stock and mutual fund investment applications in the era of digital transformation. The factors analyzed in this study are Information Quality, Service Quality, System Quality,Knowledge, Promotion, Motivation, Trust with the target E-Successful Apps variable. The study was conducted with a total sample 400 respondents. The analysis performed by testing validity using Average Variance Extracted and Loading Factor. Also, testing reliability using Cronbach’s Alpha and hypothesis test with the conditon P-values<0.05. The test result performed using SmartPLS application and hypothesis test performed shows that five of the total seven hypothesis were accepted. The result indicate that Information Quality, Service Quality and System Quality directly influenced Trust and indirectly influenced E-Successful Apps. From the result, there are 2 factors that influenced E-Succesfull Apps drectly,those factors are Promotion and Trust.
Keywords:	Investment Application, Trust, Smart PLS, Affecting Factors, Success Model
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	DISSEMINATION OF DATA IN THE EMERGENCY APPLICATION FOR THE CLUSTER-BASED INTERNET OF VEHICLES IN NETWORK
Author:	MARIETTA J, CHANDRA MOHAN B
Abstract:	Internet of Vehicle is the improved technology of VANET, which is used for the communication among the vehicles to vehicles, vehicle to infrastructure, vehicle to the sensor. Due to the mobility nature of the vehicle, the network's topology frequently changes, which may cause scalability problems, reliability problems, and also frequent path failure. Clustering is one of the solutions which is proposed to overcome the problem in the IoV environment. In this paper, an algorithm for clustering on the Internet of Vehicles based on the evolutionary algorithm clustering technique is proposed to solve the routing problems. This algorithm provides the optimal solution for reliable communication among the network. The proposed technique is used to maximize the coverage of the vehicular nodes with a minimum number of clusters. The parameters considered for the study are the grid size of the network, load balance factor (LBF), speed of the vehicular network, the direction of the vehicle, and the transmission range. The experiments are performed by varying the parameters and compared with the various optimization algorithms proposed for the vehicular network. The evaluation of the proposed algorithm is evaluated based on the number of nodes with transmission range, number of nodes, and the number of vehicular nodes. The analysis indicates the proposed algorithm outperforms the existing methodologies.
Keywords:	Internet of vehicles, Routing, topology, clustering, Optimization.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	E-WASTE FROM TECHNOLOGY USE IN THE OIL AND GAS SECTOR: THE SNEAK PEEK
Author:	MILLATINA NORDIN, SAVITA K. SUGATHAN, NOREEN IZZA ARSHAD, MARYAM ZAFFAR
Abstract:	Electronic Waste (E-Waste) generation has been escalating since the past decade. Soundly managing this particular type of waste is one of the methods in creating a more sustainable world for the future. The terms digitization, digitalization, and digital transformation are spurring across all the industries vertically and horizontally. In aligning the business strategy and information technology strategy, cooperation from various industries is investing in the latest and advanced technologies to stay forefront with the movement of Industry 4.0. This reflects the input which is one end of the product value chain. Meanwhile, another end of the product value chain is the output. The output is signified by the amount of E-Waste generated, once Electrical & Electronics (E&E) equipment and Internet-Of-Things (IoT) hardware, electronic circuits, and sensors reached the End-of-Life (EOL). This paper will provide a sneak peek into how much E-Waste is highlighted in the oil and gas industry. It is a part of research that studies the management of E-Waste in the oil and gas industry. Design Thinking is introduced into the methodology that is implemented simultaneously with the single case study approach. The research model is based on the DPSIR Model, which stands for Driver-Pressure-State-Impact-Response Model.
Keywords:	E-Waste, Internet of Things, Environmental Sustainability, Oil and Gas Sector, DPSIR Model
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	THE IMPACT OF TOURIST’S INTENTION TO USE WEB 3.0: A CONCEPTUAL INTEGRATED MODEL BASED ON TAM & DMISM
Author:	MOHAMMED ABDO ALBAOM, FATIMAH SIDI, MARZANAH A. JABAR2, RUSLI ABDULLAH, ISKANDAR ISHAK, NUR ANITA YUNIKAWATI, MAGISTYO PURBOYO PRIAMBODO, JATI HILIAMSYAH HUSEN, OSSAMA ISSAC, ABDO HASAN AL-HARASI
Abstract:	The rapid revolution of information technology has enhanced the global tourism industry that positively changed the structure of economy in large scale. Today, tourists face difficulties to find information to meet their needs or exceed their expectations due to the huge amount of information in the current Web and tourism portals. This has made the tourists or travelers decision to visit a particular destination very difficult. The main purpose of this research is to propose a conceptual integrated model to determine the factors influencing tourist’s intentions to use Web3.0. Therefore, despite the enormous transformative innovation that the Web3.0 will provide, there is still a significant gap between the current applied systems and the new technology at this moment. Besides that, the literature has shown that there are only few publications that used integrated theoretical model of Technology Acceptance Model (TAM) and Delone and Mclean Information System Model (DMISM) to investigate tourist’s intention to use new technology particularly Web 3.0. In addition, this research not only defines Web3.0, but also determines the possible challenges, risks, and opportunities that are emerged from Web3.0 technology specifically in the tourism domain. Moreover, while Web3.0 is prominent across businesses, there is surprisingly very limited academic work devoted to study its effect on consumer’s intentions to use and the tourism industry is not an exception. Consequently, this study will provide more insights, advance our understanding and contribute to this growing area of research as well as the proposed integrated conceptual model can serve as fundamental framework to be used in different domains.
Keywords:	Web3.0, Technology Acceptance Model, Delone and Mclean Information System Model, Tourists
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	NEGATIVE ELECTRONIC WORD OF MOUTH AND ITS EFFECT ON REPURCHASE INTENTION IN ENERGY DRINK PRODUCTS: MODERATION ROLE BY SOCIAL NETWORKING SITES
Author:	ENDWIEN HERSETYAWATI, M ARIEF, ASNAN FURINTO, HARDIJANTO SAROSO
Abstract:	This study aims to find a prescriptive theoretical approach to provide advice to stakeholders and how companies can provide feedback and improve corporate decision making. Quantitative research methods are used in this study to achieve the objectives of this study. Based on the above calculations, the minimum sample uses 145 samples of respondents. This study uses data analysis methods using Smart PLS version 3.0.m3 software which runs on computer media. The results showed that the variable negative effect (NE) had a positive effect on negative electronic word of mouth (NeWOM), positive effect (PE) had a positive effect on negative electronic word of mouth (NeWOM), NER had a positive effect on negative electronic word of mouth (NeWOM). ), social networking sites (SNS) can strengthen the negative effect (NE) on negative electronic word of mouth (NeWOM), social networking sites (SNS) can strengthen the positive effect (PE) on NeWOM, social networking sites (SNS) can strengthen the effect of negative electronic reviews (NER) on negative electronic word of mouth (NeWOM) and negative electronic word of mouth (NeWOM) have a negative effect on repurchase intention (RI) for accepted energy drink products.
Keywords:	Negative Effect, Positive Effect, Social Networking Sites, Repurchase Intention, Negative Electronic Word Of Mouth, Negative Electronic Reviews
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	A PROPOSAL ARCHITECTURE FOR DATA GATHERING AND PROCESSING IN INDUSTRY 4.0
Author:	OUAHIB AJIL, MAHA REZZAI, WAFAA DACHRY, HASSAN GZIRI, AHMED MOUSRIJ
Abstract:	The deployment of the Industrial Internet of Things (I-IoT) in Industry 4.0 aims to enhance the productivity by gathering and processing of real-time data. Industry 4.0 uses Big Data ecosystem to deal with the large volume of heterogeneous data generated by several types of sensors. Therefore, Big Data technologies offer scalable IT resources for computing and storing. However, there is a scarcity of studies on data flow platforms to address the core challenges of the I-IoT complex environment. This paper proposes a generic platform for data gathering and processing from the sensors to the cloud, and using Edge computing approach that introduces an intermediate layer between the Cloud and the I-IoT nodes. Vitals features are deployed in this layer such as security management, Stream Processing, local storing in order to ensure real time monitoring and to reduce the latency in case of a poor Internet connectivity.
Keywords:	Industry 4.0, I-IoT Data Gathering and Processing, Big Data, Edge Computing, Stream Processing, Cloud.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	RECURRENT NEURAL NETWORK FOR THE CLASSIFICATION OF AUDIO SIGNAL COMING FROM OUD INSTRUMENT
Author:	MEHDI ZHAR, OMAR BOUATTANE, LHOUSSAIN BAHATTI
Abstract:	In this paper, we propose a model for recognizing the playing style of the oud player according to the grandmasters, and we identify the influence rates of each oud player concerning a way to play, this solution is based on the extraction of technical characteristics of the audio signals through the signal processing mechanism. Standardization, data reduction via mathematical tools as well as a selection procedure of the optimal characteristics are also started in this work in order to allow the proposed classification model to generate a better result. After having modelled and tested several classification models of deep learning, we evoke in these papers the most adequate model answering perfectly this problem of classification of an audio signal coming from the musical instrument Oud. Practical cases have also been developed in this work to test the relevance and efficiency of our model.
Keywords:	Artificial Intelligence, Classification, RNN, Music, Quarter tone, Deep Learning, Machine learning, Filtering, MFCC, Python.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	NEW HYBRID ALGORITHM FOR TASK SCHEDULING IN CLOUD COMPUTING
Author:	BENLALIA ZAKARIA, KARIM ABOUELMEHDI, ABDERRAHIM BENI-HSSANE, HAYAT KHALOUFI
Abstract:	The theory of task scheduling in cloud computing systems is gaining increased attention with the rising popularity of the Cloud. In general, task scheduling is the process of assigning tasks to available resources based on the characteristics and general conditions of the tasks. This is an important aspect of efficient cloud functioning. Task scheduling is also perceived to be a real problem for managers. In this paper, we will present some concepts and research papers that have proposed improvements or solutions to this challenge and we will propose a hybrid Cat swarm optimization (CSO) Combined with Tabu Search (TS) for solving Task scheduling problems. CloudSim was used to implement the suggested hybrid algorithm (TS-CSO). The proposed algorithm's performance is compared to the performance of the PSO and FCFS algorithms on the Makespan parameter. The implementation results proved that the proposed algorithm (TS-CSO) outperforms the other algorithms.
Keywords:	Cloud computing, Task Scheduling, Tabu Search, CSO, Cloud Sim
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	HYPERSPECTRAL IMAGE COMPRESSION ALGORITHMS FOR PHYTOSANITARY INSPECTION OF AGRICULTURAL CROPS IN AEROSPACE PHOTOGRAPHY
Author:	ASSIYA SARINOVA, AIGUL BEKBAYEVA, PAVEL DUNAYEV, YERMEK SARSIKEYEV, KANIBEK SANSYZBAY
Abstract:	The article presents studies of hyperspectral image compression algorithms for phytosanitary control of agricultural crops in aerospace photography. The existing algorithms for lossless compression of hyperspectral images are analyzed. In this paper, we propose an algorithm for lossless compression of hyperspectral aerospace images, characterized by the use of a channel-by-channel difference linear regression transformation, which significantly reduces the range of data changes and increases the compression ratio due to this. The main idea of the proposed transformation is to form a set of pairs of correlated channels with the subsequent creation of transformed lossless blocks using regression analysis. This analysis allows you to reduce the size of the channels of the aerospace image and transform them before compression. The transformation of the regressed channel is performed on the values of the constructed regression model of the equation. The obtained results of comparing the transformed hyperspectral AI allow us to assume the effectiveness of using the stages of regression preorazing, which shows good results when calculating compression algorithms.
Keywords:	Hyperspectral aerospace images; Compression algorithm; Correlation; Regression analysis.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	RESEARCH AND ASSESSMENT OF THE STATE OF TECHNICAL OBJECTS BASED ON COMPUTER MODELING
Author:	SALIMA ISRAILOVA , AYAGOZ MUKHANOVA, TATYANA YESIKOVA
Abstract:	The development of modern equipment and technologies in recent decades has been carried out with great leaps. At the same time, the problem of ensuring and improving the reliability of technical objects (appliances, household appliances, technological complexes, building structures, etc.) of operation in conditions of constant miniaturization of elements and structures, various loads (temperature, mechanics, chemistry, etc.) is especially relevant. This article describes the software, various methods and models in order to analyze how reliable different technical objects are. Reliability, one of the main indicators of product quality, largely determines the economic profitability of its production. The solution of the problem of increasing reliability is complicated by the fact that it is diverse and reflects the specifics of all stages of the existence of technical objects-from the design stage to the operation stage.
Keywords:	Method, Program, Distribution, Simulation Modeling, Variation Series, Reliability, Failure, Interpolation, Model.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	DEVELOPMENT OF MATHEMATICAL MODELS TO CALCULATE THE EFFECTIVENESS OF A DIGITAL PLATFORM FOR ENVIRONMENTAL MONITORING
Author:	OLGA VALERYEVNA SEDOVA, ALEXEY GRIGORIEVICH ALEKSEEV
Abstract:	The prerequisites for the study are the formation of new forms of cooperation between enterprises and organizations, due to the development of digital management technologies, on the one hand, and the manufacturer's desire to minimize the number of transactions and reduce the resource supply of secondary functions by delegating their expansion to third-party companies as the market for high-tech products develops, on the other. Along with the advantage of new forms of business interaction in the form of digital platforms, there are several new problems associated with the emergence of various kinds of hindrances to their existence and development due to various risk factors specific to a particular economic agent and the formation of new value chains for customers. This, considering the diversity of participants in platform interaction, contributes to the emergence of inequality in terms of profit distribution. The purpose of the study formulated in connection with the above is to develop tools for the formation and regulation of effective platform interaction of environmental monitoring market entities in the form of mathematical models. Analysis, scientific abstraction, and modeling are used as research methods. It is proposed to compare platform interaction with cluster interaction in a vertical industry cluster with virtual infrastructure and digital platforms as a system-forming center. With this in mind, the concept of platform interaction in the environmental monitoring market is formed. Within the framework of the concept, mathematical models are developed to calculate the effectiveness of using a digital platform for environmental monitoring in the real sector of the economy for the buyer and the supplier. The proposed mathematical models serve as the basis for modeling the optimal cost of functions for running the digital platforms, developed by the Leading Research Center "Trusted Sensor Systems" of the National Research University of Electronic Technology.
Keywords:	Platform Interaction, Efficiency, Mathematical Model, Environmental Monitoring.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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Title:	UTILIZATION OF MULWIN-LBP ALGORITHM TO SUPPORT BATIK IMAGE CLASSIFICATION
Author:	ABDUL HARIS RANGKUTI, JOHAN MULIADI KERTA, AYU HIDAYAH ASLAMIAH
Abstract:	The variety of Batik motifs is always increasing in every year so that it is increasingly difficult to identify them. Based on these facts, Batik pattern recognition becomes important to help people to know Batik patterns. By Doing the research could improve reliability in recognizing and understanding Batik patterns originating from several regions in Indonesia by using the Mulwin-LBP algorithm to support image classification. This algorithm carried out 3 and 4 different types of windows to get optimal feature extraction results. With this algorithm, the resulting classification accuracy is reliable and optimal. Basically, this algorithm uses multi-windows such as 6x6, 9x9, 12x12, and 15x15 or a combination of 3 or 4 windows to get optimal image features. Some experiment were conducted to determine the reliability of the algorithm. Among them, the number of training images is more than the test image, but the accuracy and precision of classification can reach more than 76%. However, if the test is carried out by adding image classes, including the number of training images, and test images, the resulting classification accuracy reaches more than 82%. Even in other experiments with more training images than test images, the image conditions have the same rotation but different scales, for classification accuracy can reach more than 98% with the number of classes between 10 to 12 classes.
Keywords:	Mulwin-LBP, Rotation, Classification, Batik, Pattern, Reliable, Optimal, Scales
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2021 -- Vol. 99. No. 24 -- 2021
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