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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 2021 | Vol. 99 No.10

Title:	FACTORS AFFECTING THE INTENTION TO USE MOBILE APPLICATION ONLINE TRAVEL AGENCY
Author:	WIZA TEGUH, VIANY UTAMI TJHIN
Abstract:	E-commerce has become a new shopping trend in the last few years. A type of e-commerce selling and buying objects in travel services is known as an online travel agency (OTA). OTA's presence is intended to make it easier for customers and travel suppliers to do transactions regarding travel services. It is widely predicted that the OTA ecosystem will continue to grow, seeing the increasingly massive internet use trend and the increasing use of smartphones. Even so, this does not mean that OTA companies are not experiencing challenges. It is proven that some companies cannot survive and eventually out of business. It happened because the company is unable to meet the needs and desires of its buyers. This research aims to analyze the factors that influence the intention to use the OTA mobile application using PLS-SEM. The research model was built based on a combination of TAM, UTAUT, ISS model, and perceived risk. The research results on 261 samples showed that the intention of using the OTA mobile application was influenced positively and significantly by perceived usefulness and hedonic motivation. This study's other constructs include social influence, information quality, system quality, service quality, perceived risk, and habit. However, they do not significantly positively affect the intention to use the OTA mobile application.
Keywords:	Intention to Use, Online Travel Agency, Mobile Application, SEM-PLS, Online Tourism
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	ABNORMAL EVENT DETECTION IN INDOOR ENVIRONMENT BASED ON ACOUSTIC SIGNAL PROCESSING
Author:	RUSTAM ABDRAKHMANOV, ABDIMUKHAN TOLEP, ZHAZIRA KOZHAMKULOVA, NURLAN NARBEKOV, NURBAI DOSSANOV, BAKYTGUL YESKARAYEVA
Abstract:	Alert the public about emergencies is to bring to public alerts and emergency information on dangers arising from the threat or occurrence of emergency situations of natural and technogenic character, as well as the conduct of hostilities or owing to these actions, the rules of behavior of the population and the need for protection activities. The aim of the work is to develop a method for detecting the sounds of critical situations in the sound stream. In this paper, the term "critical situation" is understood as an event, the characteristic sound signs of which can speak of acoustic artifacts (a shot, a scream, a glass strike, an explosion, a siren, etc.). The developed method allows you to classify events into two groups: normal (for example, street noise) and critical situations (for example, an explosion, a scream, a shot). To determine events, machine learning is used, namely the Support Vector Machine method, which solves classification and regression problems by constructing a nonlinear plane separating the solutions. SVM has a fairly wide application in data classification and shows good results in event detection problems. As part of the work, the minimum set of features for the machine learning model was determined, small training and test samples were formed, and a method was developed that classifies normal and abnormal events.
Keywords:	Audio Event, Impulsive Sounds, Signal Processing, Machine Learning, Acoustic Signals, Signal Processing
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	ENHANCED THE DFIG SYSTEM BEHAVIOR UNDER SYMMETRICAL SAG VOLTAGE
Author:	TARIQ RIOUCH, RACHID EL-BACHTIRI
Abstract:	This paper proposes a novel scheme to improve the low voltage ride-through (LVRT) capability of the doubly-fed induction generator (DFIG) based wind power (WT). The main problems of DFIG are; its sensitivity to voltage sag in side and the sudden variation in wind speed on the other side, these problems causes the fluctuations in the output power, overcurrent in rotor winding and overshoot in the dc bus voltage. A Hybrid Energy Storage System (HESS) connected in parallel with the rotor side converter of the DFIG, and an adequate control of the HESS are suggested to enhance the DFIG behavior. The simulations is conducting in MATLAB/Simpower system environment, The results show that the proposed scheme can not only enhanced the DFIG behavior under fault, but also smooth the power injected in grid under normal operation with the sudden variation of the wind speed.
Keywords:	Wind power generation; doubly fed induction generator (DFIG); Hybrid Energy Storage System (HESS); Voltage sag; Power fluctuation
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	A NOVEL SYMMETRIC HYBRID CRYPTOGRAPHY TECHNIQUE USING LINEAR BLOCK CIPHER (LBC) AND SIMPLE SYMMETRIC KEY
Author:	PRAKASH KUPPUSWAMY, SAEED Q AL-KHALIDI AL-MALIKI
Abstract:	Data encryption technique is the art of cryptology protecting valuable information or data by transforming it into an unreadable scrambled text. Cryptography algorithm is a mathematical technique used to preventing or safeguard messages from unsolicited access. In the current digital environment, public, private financial institution’s data transactions conducts through open network channel only. Therefore, it is significant to implement cryptography techniques on those financial data to secure valuable things. In many sectors exploiting private algorithms such as DES, AES and public algorithms such as RSA, Diffie-hellman been using in various applications. Public key or Asymmetric key encryption technique has connection with many performance issues such as energy consumption, memory wastage and computational problems etc., Correspondingly, symmetric key algorithm also has a problem of non-repudiation, false modification etc., to overcome the above issues and enhance the confidentiality to make it stronger, hybrid cryptography techniques offered better solution. In short, the hybrid technique uses the combination of two or more encryption algorithms. The proposed hybrid algorithm is combination of enhanced hill cipher algorithm using modulo 37 and using simple positive and negative integer numbers. Many hybrid algorithm follows different logic to provide more security, we proposed here, simple and open design, straightforwardness, computational speed, more privacy. and security compared to existing hybrid encryption schemes.
Keywords:	Symmetric Key, Asymmetric Key, Hybrid Encryption, Block cipher, RSA, DES, AES etc.,
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	EVALUATION OF THE SUCCESS OF THE REKON.ID MOBILE ATTENDANCE APPLICATION USING THE DELONE AND MCLEAN APPROACH
Author:	RAHMAT IVAN AZIZ, EMIL ROBERT KABURUAN
Abstract:	This study discusses the evaluation process on the use of the Rekon.id application at the company PT Solusi Konvergen. The Rekon.id application is an application made by companies to record every activity carried out by employees and help employees to carry out administrative processes every day. However, at the time of its application, the Rekon.id application experienced a decrease in users every month. So, with these problems, companies must evaluate the use of the application. This study conducted an evaluation process for the success of the Rekon.id application using the DeLone and McLean model which consisted of system quality, information quality, service quality, usage, user satisfaction, and net benefits. This study uses 235 samples of Rekon.id application users to test and perform quantitative analysis in the evaluation process of using the Rekon.id application. The results of the 10 hypothesis test conducted show that the variables that have a positive relationship are information quality on user satisfaction, system quality on user satisfaction, service quality on use, and user satisfaction with net benefits.
Keywords:	Evaluation Information System, Information System, Mobile Attendance, DeLone and McLean Approach.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	EduDIS CONSTRUCTION TECHNOLOGY BASED ON Z39.50 PROTOCOL
Author:	S.K.SERIKBAYEVA, D.A.TUSSUPOV, M.A.SAMBETBAYEVA, A.S. YERIMBETOVA, TASZHUREKOVA ZH.K., BORANKULOVA G.S.
Abstract:	The most effective way to solve the problems of organizing access to distributed information resources is to organize information about them in information systems that are open in the form of electronic libraries. We formulated the basic principles of EduDIS implementation based on the use of the ideas of the electronic library. The article is about the implementation of an information system that provides unified access to distributed resources. The paper considers general issues of organizing access to distributed information resources, as well as the main components of such a system. The main aspects of joint use of Z39.50 protocols for access to distributed information resources are disclosed. In our paper, we provided a functional overview of the protocol itself and the history of standards, described some of the European initiatives that use it, and addressed various questions related to its future use and adoption. Z39.50 is an important building block of future distributed information systems. Moreover, in this paper, we discuss the description of the search for terms in the thesaurus and the algorithm for constructing a tree of terms based on abstract access to the thesaurus, organized in accordance with the Zthes profile of the Z39.50 protocol.
Keywords:	Distributed information systems, EduDIS, Z39.50, thesaurus, Zthes, RPN.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	STEGO IMAGE CORRUPTION DETECTION AND SECRET TEXT RECOVERY IN STEGANOGRAPHY COMMUNICATION
Author:	JAGAN RAJ J, C. KAVITHA, K. SAKTHIVEL
Abstract:	In this proposed work, an effort has been made to use multiple image files for steganography encoding alongside with the potential of secret text recovery in the event of any image corruption during the stego image transit. Proposed algorithm is effective on the safety factors of secret image, since the embedded checksum will validate for any unauthorized users or intruders, who plan to corrupt the image in any aspect. If any of the stego image underwent any steganalysis or Man in the Middle attack, then this proposed algorithm can effectively identify the potential corruption. The proposed multi cover image steganography model enables the receiver to send the secret text in more secured way and has the ability to detect the corruption in secret message. This solution is not only detecting the possible cover image corruptions but it also withstands one stego image corruption and has the capability to recover the original secret text even after one stego image corruption during the transmission of the secret message. This proposed work will increase the security of secret text that are being sent using steganography methods.
Keywords:	Image Steganography, Multi-Image Steganography, Data Corruption Detection
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	MACHINE LEARNING METHODS FOR IMPROVING THE QUALITY OF IMAGES FROM CCTV CAMERAS ON RAILWAY TRANSPORT
Author:
Abstract:	Article Retracted Due to Plagerism These material has already been published earlier in the works: 1. Thesis (second chapter) - http://ena.lp.edu.ua:8080/bitstream/ntb/31211/4/dissertation_Izonin.pdf 2. Book chapter - https://link.springer.com/chapter/10.1007/978-3-319-63754-9_25 3. Patent 1 - https://base.uipv.org/searchINV/search.php?action=viewdetails&IdClaim=232590 4. Patent 2 - https://base.uipv.org/searchINV/search.php?action=viewdetails&IdClaim=246293
Keywords:
Source:	Journal of Theoretical and Applied Information Technology
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Title:	A DESIGN OF A NEW HASH FUNCTION BASED ON CELLULAR AUTOMATA
Author:	YOUSSEF SBAYTRI, SAIIDA LAZAAR
Abstract:	Cryptographic hash functions play an important role in information security. They are used in several cryptographic applications to verify the integrity and authenticity of data. The hash functions are also the basis of blockchain technology. Many hash function constructions are inspired by boolean functions. The proposed hash function algorithm in this paper is based on Elementary Cellular Automata (ECA) and 2- dimensional Cellular Automata (2DCA), which are another type of boolean functions that have excellent cryptographic properties. This algorithm has a sponge construction as such as SHA-3. The strict avalanche criterion (SAC) and NIST statistical tests suite (STS) were used to measure the security of this algorithm. The obtained results demonstrate that the proposed algorithm exhibit high sensitivity to input changes.
Keywords:	Cryptographic hash function, Blockchain, Sponge construction, Cellular Automata, Elementary Cellular Automata, Boolean function, NIST statistical tests suite, Avalanche Effect.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	TRIP PLANNING ALGORITHM FOR GTFS DATA WITH NOSQL STRUCTURE TO IMPROVE THE PERFORMANCE
Author:	MUSTAFA ALZAIDI, ANIKO VAGNER
Abstract:	Nowadays, GTFS (General Transit Feed Specification) data is used by many transport agencies as a standard format for publishing their data. Trip planning applications where a user can plan a trip between two locations are widely used. This paper will introduce an algorithm to found all possible trip plans between any two locations using GTFS data. The algorithm uses both stop and route level search to found the possible transition to be made. We introduce a technique that reduces the server overhead by defining and implementing a Redis NoSQL data structure to store all possible search results. Trip planning request at the server will be served by querying the Redis structure instead of run the algorithm with each request. We experiment, measure, and list the server performance using this technique with two different GTFS data sets and compare performance with and without using it.
Keywords:	GTFS, Trip Planning, Redis, NoSQL, Smart City.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	OPTICAL AMPLIFIERS FOR REACH EXTENSION OF PASSIVE OPTICAL NETWORK FOR RURAL SETTLEMENTS
Author:	A.TUSSUPOV, N.I.LISTOPAD, A.T.TOKHMETOV
Abstract:	This article is devoted to reach extended PON and optical amplifier technologies to extend physical limitation of PON from 20km to 60 km. with analysis of optical amplifiers, like EDFA, Raman, SOA amplifier, quantum-well and quantum-dot semiconductor optical amplifier for reach extension and the corresponding requirements of PON.
Keywords:	FTTH, PON, OA, PON, SOA, EDFA, QD-SOA.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	DEEP LEARNING-BASED CANCER CLASSIFICATION FOR MICROARRAY DATA: A SYSTEMATIC REVIEW
Author:	NASHAT ALREFAI, OTHMAN IBRAHIM
Abstract:	Deep neural networks are robust techniques and recently used extensively for building cancer classification models from different types of data. Nowadays, microarray gene expression datasets consider an essential source of data that is used in cancer classifications. However, due to the small size of samples compared to the high dimensionality of microarray data, many machine learning techniques have failed to distinguish the most relevant and informatics genes. Therefore, deep learning is demand due to its ability to automatically discovering the complex relationship between features with significant accuracy and high performance. The current study aims to reveal the state-of-the-art of deep neural network architectures and how it can utilize from microarray data. Therefore, several deep neural network architectures were built such as CNN, DNN, RNN, DBN, DBM and DAE to be compatible with the different learning processes (supervised, unsupervised and semi-supervised). As a result, CNN considers the most common neural network architecture used in the medical field due to its robustness and high performance in cancer classification. Results indicate that choosing suitable architecture of the deep neural network and its hyper-parameters is one of the most difficulties facing the researcher in designing models for cancer prediction and classification because there is no particular rule to ensure high prediction accuracy.
Keywords:	Deep Learning; Cancer Classification; Convolutional Neural Network; Transfer Learning; Microarray.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	RESEARCH AND MODELING OF THE PROCESS OF SULFUR PRODUCTION IN THE CLAUS REACTOR USING THE METHOD OF ARTIFICIAL NEURAL NETWORKS
Author:	ZH.YE. SHANGITOVA , B.B. ORAZBAYEV , L.T. KURMANGAZIYEVA , T.T. OSPANOVA , R.U. TULEUOVA5
Abstract:	The Claus sulfur recovery process is the most important in natural gas desulfurization technology. Taking into account the large-tonnage facilities, it is urgent to solve the problem of effective management, which will allow obtaining a significant economic effect. When studying catalytic reactions and processes, mathematical modeling methods are most often used, which allow describing changes in the states of the system under study. An alternative approach to modeling chemical-technological processes can be the use of artificial neural networks, which make it possible to take into account the features of the processes under study as much as possible. The article is devoted to the study of the chemical-technological process of sulfur production in the Claus reactor by the method of artificial neural networks (ANN). This article describes the relevance of neural networks using in chemical-technological systems. Similar works on the research topic are presented. The analysis of the sulfur production unit as an object of management has been carried out. The main parameters influencing the process of sulfur production have been identified and investigated. The results of the study of sulfur production process using fuzzy logic are presented. Backpropagation algorithm is described. Based on the input data of a mathematical model with a multiple regression structure and real data from the Claus reactor, the Backpropagation Algorithm of multilayer neural networks in Python has been implemented. Based on the results of the program, the output values and errors dependences graphs have been built. As a result of the study, sufficient convergence of the results of modeling using mathematical models is shown on ANN and real production data.
Keywords:	Backpropagation Algorithm, Multi-layer Neural Networks, Python, Sulfur, Artificial Neural Networks
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	DEVELOPMENT OF BUSINESS PROCESS DESIGN METHODS
Author:	BOLSHIBAYEVA A.K. , USKENBAYEVA R.K. , KUANDYKOV A.A., RAKHMETULAYEVA S.B. , ASTAUBAYEVA G.N.
Abstract:	In all economic and production-technological areas (or processes), business processes are the main objects that unite everything that is related to the achievement of the goal. There are many models of business processes that do not sufficiently reflect the features of the business process and the needs of a person in the business process. In other words, all kinds of model are functionally incomplete. Business process analysis is becoming extremely important for manufacturing and logistics systems as it plays a vital role in the successful improvement of business processes. The goal of process analysis is to unlock new knowledge to solve problems and optimize processes to create core competencies. A large amount of research and development has been carried out to optimize the performance of business processes in this complex and dynamic environment. Several methodologies, techniques and tools have been developed to analyze and optimize business processes in the field of production and logistics. Therefore, more and more new approaches to the description of business processes appear. In this work , we offered universally th business process model, which is called the base. Since, all other views of business processes are derived from the basic business process representation by the model.
Keywords:	Business Process, Design Methods, Modeling, Knowledge Analysis
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	CTGAN VS TGAN? WHICH ONE IS MORE SUITABLE FOR GENERATING SYNTHETIC EEG DATA
Author:	MIN JONG CHEON, DONG HEE LEE, JI WOONG PARK, HYE JIN CHOI, JUN SEUCK LEE, OOK LEE
Abstract:	BCI has been an alternative method of communication between a user and a system, and EEG is a representative non-invasive neuroimaging technique in BCI research. However, gathering a large dataset of EEG is difficult due to insufficient conditions. Therefore, a data augmentation is required for the data and a generative adversarial network is a representative model for the augmentation. As the EEG data is a CSV format, we decided to utilize CTGAN and TGAN for creating synthetic data. Our research was conducted through 3 steps. First of all, we compared two datasets from each model through data visualization. Secondly, we conducted a statical method for calculating similarity score. Lastly, we used both data as input data of the machine learning algorithms. Through the first step and second step, we found that the data from CTGAN has higher similarity than TGAN. However, in the last step, the result showed that the result such as accuracy, precision, recall, f1 score showed no significant difference between the two datasets. Furthermore, compared to the original dataset, none of the synthetic datasets showed higher scores. Therefore, we concluded that further research is needed to find out a better method for data augmentation so that the synthetic data could be utilized for the input data of machine learning or deep learning algorithms.
Keywords:	Deep Learning, GAN, EEG, BCI, Data Augmentation, Artificial Intelligence
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	VOLTAGE STABILITY ANALYSIS USING CONTINUATION POWER FLOW UNDER CONTINGENCY
Author:	MADHAVI GUDAVALLI, HARIKA VEMULAPALLI, KUMAR CHERUKUPALLI
Abstract:	This paper presents the knowledge of a continuation power flow (CPF) analysis to be used in a voltage stability analysis (VSA) to regulate the power in huge systems. Prominent feature of the continuation power flow is that it remains well-conditioned at and around the critical point. As significance, divergence due to ill conditioning is not encountered at the critical point, even when solitary meticulousness computation is used. It begins with a few basic values of the process and leads to a critical stage. The quiescent attribute of this approach is that it ruins fit at the anticipated stage, even though a particular estimation is used. In this paper system voltage, active power losses, reactive power losses and voltage stability are analyzed using a continuation power flow algorithm with and without contingency under load changing condition.
Keywords:	Continuation Power Flow, Contingency, Corrector, Critical Point, Predictor, Stability Index, L- Index, Jacobian, Tangent Vector
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	FLOOD CONGESTION SIMULATION AND PREDICTION USING IOT WIRELESS NETWORKS ON DYNAMIC STREETS ROUTES
Author:	MONEEF M JAZZAR
Abstract:	Floods are among the natural hazards that are the most common as well as devastating. The worrying numerous flood-related fatalities and economic losses incurred yearly globally call for enhanced flood prediction. Remarkably, the previous decade has presented great chances with a series of studious events investigating how wireless data from the internet of things (IoT) networks can enhance flood prediction. This paper backs by emphasizing the key approaches of flood congestion prediction and IoT sensor-based techniques for real-time flood observatory, flood prototyping, mapping, and prompt flood prediction systems comprising the water level estimation. With the exponential increment of data available and computational capability, simulation techniques for uncertainty approximation of flood prediction is presented. We present the development of IoT Flood Simulator system that process individual nodes as well as multiple nodes datasets of multiple-sources of roads conjunctions collected via IoT wireless sensor networks. The system also locates the predicted flood and shows warnings on real map of the study area.
Keywords:	Wireless sensor networks, Floods prediction, Dynamic streets routes, IoT Technology, Simulation.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	A NEW HYBRID MULTI-FOCUS IMAGE-FUSION USING DMWT WITH FFT TRANSFORMS
Author:	ADNAN HADI MAHDI AL-HELALI , JAMAL S. ZRAQOU , WISSAM.ALKHADOUR , ABDULLA AL-NUEMI
Abstract:	A new technique of image fusion combining multi-focus images is proposed. It employs Discrete Multi-Wavelet Transform (DMWT) together with Fast Fourier Transform (FFT). Two source images are decomposed by FFT and DMWT first, then, treated by three different fusion rules, namely maximum selection rule, gradient rule, and absolute maximum selection rule for merging coefficients low and high-frequency sub-bands. This technique is experimentally implemented and tested on the often-used grayscale images, then the obtained results are compared with other multi-focus techniques, such as the Simple Pixels Averaging (SPA), the Principal Component Analysis (PCA), and wavelet transform (WLT). It was found that the proposed method has outperformed the formers in terms of image fusion. The comparison included the various metrics, such as correlation (CORR), MI, EN, QE, QAB/F, SD, root mean square error (RMSE), AG, and SF. Hence, based on objective and subjective evaluations, the proposed technique is promising for fusion multi-focus images.
Keywords:	DMWT, Image Processing, Image-fusion, Multi-focus, WLT, FFT.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	INTERPLAY BETWEEN COGNITIVE STYLES AND GENDER OF TWO HYBRID LEARNING TO LEARNING ACHIEVEMENTS
Author:	ANTHONY ANGGRAWAN, CHE KU NURAINI, MAYADI, CHRISTOFER SATRIA
Abstract:	Hybrid learning is an education model that blends F2F (face-to-face) and online lessons. Each learning model can determine individual students to succeed or fail. The mixing combination in mixed learning affects the pedagogical results. The problem is how the pedagogical results are due to students' cognitive styles, gender, and the mixed level of hybrid learning. So that the questions are: how effective is the hybrid learning with a mixture of 60% F2F and 40% online; how the interplay results between cognitive styles and genders affect learning achievements; and what are the distinctions in learning achievement of this hybrid learning with a mixture of 60% F2F lesson and 40% online lesson compared to prior hybrid learning with a blend of 40% F2F lesson and 60% online lesson. This research objective compares the interplay results between the cognitive styles and the gender of the two-hybrid learning. The research method is experimental. The research discloses that: hybrid learning with a mixture of 60% F2F and 40% online is a good study result; there are differences in learning achievement between student cognitive styles and student gender; male students with visual cognitive style are more successful in learning achievement. Hybrid learning combined with online teaching materials 20% greater than F2F teaching materials shows more successful learning outcomes. This research novelty is that students' cognitive style and gender interact and have different effects on hybrid learning achievement. The contribution of this research is that in learning, it is necessary to pay attention to the learning model used and the media to support students cognitive styles in achieving better effectiveness of learning outcomes.
Keywords:	Interplay, Cognitive style, Gender, Hybrid learning, Learning achievement
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	A STRATEGIC FORECASTING APPROACH TO IMPROVE FUTURE INTER-URBAN MOBILITY POLICIES
Author:	MOHAMED EL HADRAOUI, FOUZIA GHAITI
Abstract:	Infrastructure has always played a vital role in the development of economies, and in this case, transport infrastructure. The latter constitute the support vector for intra- and inter-region mobility. Transport and mobility are becoming increasingly important in the sustainable management of land and are at the heart of the current debate. The modes of transport compete for the search for original and innovative solutions to stand out, increase their attractiveness and their competitiveness, and thus acquire an image that evokes development, modernity and respect for the environment. Given the various crises that the world has experienced and continue to experience, such as the 2008 financial crisis and the COVID-19 coronavirus pandemic, financial resources are becoming increasingly scarce. For that reason, solutions must be sought for a rational and judicious use of space as well as transport via a good control of mobility within the territory. Contrary to the various works carried out before, this paper is an attempt to create a tool to help strategic decision for national interurban mobility through the application, and for the first time in Morocco, of a dynamic modeling approach. It is about using a four-step modeling method, mounted on the TransCAD software, GIS-package with specific transportation analysis tools, supported with a certain flexibility in the configuration. Our contribution consists in investigating whether the proposed approach could succeed in the Moroccan context and contribute to the application of a dynamic modeling method, which links interurban mobility, all modes of transport, to the socio-economic parameters. That is using a Moroccan detailed, which is made up of the travel diary in 2016, enriched with many individual and domestic functions and data from the last General Population and Housing Census of 2014.This will give decision-makers better visibility on interurban mobility in Morocco.
Keywords:	Four-Step Modeling, Inter-urban Mobility, Mode Choice Prediction, Utility Function, Gravity Model, Multinomial Logit Model, and Linear Regression
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	POWER SYSTEM SECURITY EVALUATION USING COMPOSITE LOGIC CRITERIA
Author:	PADMANABHA RAJU CHINDA, RAGALEELA DALAPATI RAO
Abstract:	An important problem in a big integrated power system is an evaluation of the power system security. Machine safety may be categorized based on key roles in control centers, such as the management of the system, the review of contingency, and the assessment of protection. Contingency analysis is the core factor of the threat evaluation. Every contingency cannot trigger the same degree of seriousness in real-time. The concept of severity and performance indexes seems to satisfy this desire to exclude non-violation cases and pick only crucial cases, known as a contingency analysis. Protection improvement includes an optimum flow of power, which is guaranteed by preventative control steps and correcting measures that ensure that the system operates as normal, in the presence of contingencies. Controllable measures to minimize special objective functions including fuel costs, mixed logical parameters, and weighted multi-objective indexes according to operating power system constraints are recommended in the Evolutionary Particular Swarm Optimization Method, which is combined with Interior Point Method. This paper presents IEEE 30 & 39 Bus Security Evaluation simulation findings. We are looking at soft computing strategies to evaluate power system safety.
Keywords:	Power system security, Contingency analysis, Static security assessment, composite logic criteria, IPM-EPSO.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	USER SATISFACTION INDEX OF E-HAILING SERVICES BASED ON CO-CREATION VALUE
Author:	RUZZAKIAH JENAL, HAZURA MOHAMED, SITI AISHAH HANAWI, NUR ATHIRAH NABILA MOHD IDROS
Abstract:	E-hailing is a service that allows users to book a journey online and provides a platform for users to interact with e-hailing companies. The interaction between users as service recipients and e-hailing companies as service providers creates a co-creation value concept. However, studies on user satisfaction with e-hailing services have received less attention. Therefore, a study conducts to measure the satisfaction index of e-hailing services based on the co-creation value. The study uses the co-creation value model, the DART model, as the basis for improving e-hailing services through user satisfaction. The DART model, which consists of four factors, namely dialogue, access, risk assessment, and transparency, is a determining factor in e-hailing service user satisfaction. A survey of 251 users of e-hailing services conducts through an online questionnaire survey, and data from the questionnaires were analyzed. The e-hailing user satisfaction index results of 78.34% indicate that users are satisfied with the e-hailing services provided. It hopes that this study can be a guide for quality e-hailing services.
Keywords:	E-Services, Transportation Services, Service Quality, Satisfaction Index, User Satisfaction Model, DART Model
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	A REVIEW OF CRYPTOGRAPHIC IMPACT IN CYBER-SECURITY ON SMART GRID: THREAT, CHALLENGES AND COUNTERMEASURES
Author:	MD MEHEDI HASAN, NOOR AFIZA MOHD ARIFFIN, NOR FAZLIDA MOHD SANI
Abstract:	The continuous development of information communication technology assists the traditional electricity grid to become a modern integrated platform. As Internet-of-Thing’s technologies involve in smart grid features together with delivery emerging services utility side to end user via unreliable channel. Due to high dependency of communication system lead catastrophic security vulnerabilities. In addition, loss data security or privacy along hampered core security objectives confidentiality, integrity, availability and broken connection between them. Therefore, significant number of researches worked mitigates those types of threads by the use of cryptographic aspect. It is fascinated to kept data secure and ensures the privacy between two parties during transmission or any kind of data share in distribute manner. In this paper, we present comprehensive survey on cryptographic impact in smart grid for security objectives, requirement, and challenges. Particularly, produces security threats, examined current research work countermeasure technique. We aim to supply deeper understanding about role of cryptographic aspect in smart grid to shed light and guide future research direction for cyber-security protection against from malicious attacker in smart grid application.
Keywords:	Smart Grid, IoT, Cyber-Security, Threats, Authentication, Cryptography
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	METHODOLOGY ASSESSMENT FRAMEWORK (MAF)
Author:	EBRU DALBUDAK , KARIM EL GUEMHIOUI , AHMED LAKHSSASSI , REJEAN GRAVEL
Abstract:	Selecting the appropriate SDM for a project is one of the most important steps to ensure the project success [1, 2]. There are so many SDMs in the market but how do we choose the right one? How do we determine and measure the concept of “fit” between the chosen SDM and the project? This research introduces a new framework called Methodology Assessment Framework (MAF) which helps decision makers assess a given project against the seven factors and determine the type of SDM that would be best suited whether it be an agile, plan-driven methodology or a hybrid of the two. This tool is based on seven decision factors, which are outcomes, scope, CYNEFIN (complexity), constituents, agile principles, team knowledge & experience, and organization capability & maturity. The paper explains each of the seven factors that MAF uses along with their assessment metrics to appraise a given project and based on the evaluation results, suggests whether the project should be run using an agile or plan-driven methodology. Next, it presents a cases study which demonstrates the application of this new framework into an Electronic Design Automation (EDA) tool development project, it identifies the agile/iterative methodology as the most suited SDM for the project.
Keywords:	Systems Development Methodology, SDM, Methodology, Agile, Framework
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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Title:	IDENTIFICATION OF THE FISH SURVIVAL RATE AND THE FISH TYPES TO LIVE IN LAKE TOBA USING MACHINE LEARNING
Author:	ROMI FADILLAH RAHMAT, SARAH PURNAMAWATI, TIFANI ZATA LINI, RIDHO FARIHA, NABILA DEANNA, INDRA AULIA, SHARFINA FAZA
Abstract:	Waste disposal in Lake Toba conducted by the local citizens has led to water pollution and the decreasing number of freshwater fish. Therefore, the identification of water content is mandatory to ensure the survival and cultivation of the fish in Lake Toba. We conducted two studies using the same data using machine learning methods of Long Short-Term Memory and Support Vector Machine. These studies proved that both methods were reliable in the identification process. The results of this research showed that the water contents in Lake Toba are still good enough for the freshwater fish to live and the types of fish that have to highest chance to survive in Lake Toba.
Keywords:	Identification, Freshwater Fish, Machine Learning, LSTM, SVM
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2021 -- Vol. 99. No. 10 -- 2021
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