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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
February 2021 | Vol. 99 No.04

Title:	QUALITY EVALUATION MEASURES OF GENETIC ALGORITHM AND INTEGER LINEAR PROGRAMMING FOR MINIMUM DOMINATING SET PROBLEM
Author:	ADEL A. ALOFAIRI, RASHAD ISMAIL, EMAD MABROUK, FISAL SAEED, IBRAHIM E. ELSEMMAN
Abstract:	In network science, controlling the elements of complex networks with a few numbers of nodes has recently become a significant subject of research and a major challenge. Nowadays, the minimum dominating set (MDS) represents an important modern network topic in this context. During the last decade, many methods have been developed to solve the MDS problem and generate different solutions for the same graph. In this paper, we evaluated the performance of two approaches to solve the minimum dominating set problem: the first one is based on the genetic algorithm, called a hybrid of a genetic algorithm (HGA-MDS), and the second approach is based on the integer linear programming (ILP-MDS). We proposed three measures to evaluate the quality of the obtained solution, which are the domination number, the nodes degree, and the betweenness centrality. We utilized a number of publically available benchmark test and real-world graph data sets. The experimental results have shown that the ILP-MDS outperforms HGA-MDS in calculating the domination number, the optimal solution, and in handling the big data graphs. The results also showed the close performance of two methods in calculating the average of both nodes degree and betweenness centrality for the obtained best dominating set.
Keywords:	Minimum dominating set; Domination number; Genetic algorithm; Integer linear programming; Betweenness centrality; Nodes degree.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	AUTOMATA THEORY: A GAMIFICATION APPROACH
Author:	SEUN EBIESUWA, TAYO OMOLARA, ADEKUNLE A. YINKA, OHWO ONOME BLAISE, ADESINA ADIO
Abstract:	Automata Theory, a theoretical branch of computer science, helps “to understand how machines compute functions and solve problems. An automaton is any machine that uses a specific, repeatable process to convert information into different forms. Gamification is an example of an automaton. The goal of gamification is the implementation of game mechanics in real-world contexts for non-gaming purposes, to foster human motivation and performance in regard to a given activity. This can be used for the automation” of mundane tasks. Customization and tailoring of interests, “content curation, life management, using all of these options, information can be gathered quickly and delivered effectively to” users. Based on this, a theoretical understanding of automata theory in gamification application was presented. The game mechanics configuration, when deliberately varied, in regards to the effect of fulfilling their basic functionalities can potentially improve user engagement, productivity, flow, learning, crowdsourcing, recruitment and evaluation, exercise, traffic violation, and so on.
Keywords:	Gamification, Game Mechanics, Automata Theory, Automaton, Automation, Social Networking
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	ALGORITHM TO FIND TOURISM PLACE SHORTEST ROUTE: A SYSTEMATIC LITERATURE REVIEW
Author:	EVARISTUS DIDIK MADYATMADJA, HENDRO NINDITO, R. A. BHASKORO, ALBERT VERASIUS DIAN SANO, CORINTHIAS P. M. SIANIPAR
Abstract:	Algorithm is very useful to find shortest route. Peoples need a map to find route from current location to destination location. For finding the shortest route, it needs a GPS for digital maps. Algorithm is very important for finding tourism place shortest route because peoples can know about the shortest route from their current location to tourism place location. Many people want to know about the shortest route to go to their tourism place destination. With this algorithm it can ease people to find tourism place, increase the number of tourism visits and gain profit for tourism place and accommodation business. There are some factors that influence for choose the best algorithm for find shortest route are cost, time, distance, values, nodes, parameters, vertex, and edges. It must find the best algorithm to find shortest route when we build an application about tourism place so that the shortest route can be found by maps accurately. Algorithm to find shortest route must have accuracy and tremendous usefulness. The aims of this paper are reviews algorithms that used to find shortest route, algorithm process runs, the used of algorithm, a factor that influence used algorithm to find shortest route especially tourism place. This paper will give benefits to ministry of tourism to understanding about algorithm to find tourism place shortest route and they could build an apps that can ease peoples for find shortest route to their tourism place. The content of this paper are algorithms definition, algorithm usability and algorithms run process.
Keywords:	Algorithm, Shortest Path, Shortest Route, Systematic Literature Review
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	ON-CHIP LASER PROBE FABRICATION FOR TRACE AND CROSS TRIGGERED SCANNING (T&CTS) IN OPTICAL MICROSCOPY
Author:	N. Z. AZEEMI, NAJAM-US-SAQUIB, IFTIKHAR AHMED
Abstract:	Unlike Chemical Force Microscopy (CFM), non-invasive instrumentation provides nondestructive, reliable and precise control in industrial process regulation, where a chemical compound or material surface are always a point-of-care. Nanomaterial dynamics intrinsically exhibit higher order of visual scanning complexities, associate wholly or partially to the poor scanning instrumentations. Additionally, growing trends in analytical instrumentation towards smart Lab-On-a-Chip (IoT sensing nodes) has shifted the emphasis on sensitivity as well as robustness tailoring Product Specific Environment (PSE). This work presents a hybrid laser actuated scanning mechanism, rastered back and forth 3-D imaging technique enabling Microscopy to its widest application in biological and material sciences and hence rose challenge of predicting large missing or incorrect data obtained during experiments. Our Confocal Self Calibrated Interferometry based fabricated Laser Sensor demonstrate its efficacy in non-invasive scanning microscopy to achieve high resolution 3D topographical view, eventually an add-on to analytical model of micro-organisms and nanomaterial. The laser leakage at tip is controlled by PI controllers based on two channel tube adjustments and successively in laser reflector lens, Photo Multiplier Tube (PMT), and Data Acquisition Unit (DAU). We exploit the dead time transfer function characteristics to simplify our model which is an inherent feature of Scanning Luminance Microscopes (SLM) and Scanning Electron Microscopes (SEM). We expose our results for error propagation across various grid patterns over a 1mm2 section, plotting the intensity of a key band or bands over the grid. We observe that the spatio-temporal measurements can be preserved modelling the ergodicity of information flow along the SLM instrumentation.
Keywords:	Data Acquisition Unit, Scanning Luminance Microscopes, Ergodicty, Smart Instrumentation, Laser Sensor
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	MOBILE DATA COLLECTION TECHNOLOGY AS IMPETUS FOR THE USE OF QUALITY OF CARE (QOC) ASSESSMENT IN NON-FOR-PROFIT FACILITIES
Author:	PAULIN TRA , HABIB KHAN TAREEN
Abstract:	The increasingly popularization of mobile Technology has contributed in bringing important innovations in businesses regardless the sector. It is in such context that considerable number of professionals recommended to public health organisations operating mainly in low-and-middle-income countries to enhance their Health Information System by integrating Open Data Kit (ODK), a free android open source application with a set of tools. With the knowledge that Quality of Care (QoC) does not operate efficiently in low-and-middle-income countries, this paper discussed how a mobile-based application developed by using XForm and designed on ODK system affected positively the perception of health workers toward QoC assessment. More specifically, the mobile-based QoC assessment tool was significantly found better than the paperwork tool because of its ability to: (1) automatically handle average calculation and scoring; (2) reduce paperwork and ease the availability of the QoC assessment tool anywhere including remote sites; (3) increase data accuracy and availability to support immediate feedback and decisions making; (4) allow very low cost implementation of the QoC assessment initiative. Building then on these findings, the developed IT artefact optimistically has promoted an innovative approach that was able to focus on decentralizing and taking QoC practices up to service delivery points existing at the lowest level including remote sites.
Keywords:	Health Information Systems, Quality of Care (QoC), Open Data Kit (ODK), DHIS2, XForm, Developing countries, Net Promoter Score (NPS)
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	PERMUTATION FLOW SHOP SCHEDULING PROBLEM WITH MAKESPAN CRITERION: LITERATURE REVIEW
Author:	ABDEL NASSER H. ZAIED, MAHMOUD M. ISMAIL, SHIMAA S. MOHAMED
Abstract:	With the evolution of the industry, the production process becomes a large-scale problem that made scheduling jobs process as a combinatorial optimization problem. The most important and most common scheduling problem was the flow-shop scheduling problem and was considered an NP-hard problem. There are different variants of flow-shop scheduling problems such as permutation, non-permutation, no-idle, no-wait, and hybrid flow shop scheduling problems. Permutation Flow-shop Scheduling problem (PFSP) is the most important variant of flow-shop problem, where its objective was to find the optimal or near to optimal sequence of n jobs on m machines with some criterion under some conditions. In this paper, it will be reviewed the PFSP with makespan criteria (completion time) and its mathematical model. Also, most of methods that used for solving PFSP will be reviewed and discussed in this paper, where each algorithm has different methodology for solving PFSP. There are three categories used for solving PFSP as traditional algorithms, heuristic algorithms, and meta-heuristic algorithms. This study concentrated on meta-heuristic algorithms in solving PFSP, due to its efficiency in solving many applications. From this study, it has been proved that meta-heuristic algorithms are playing a vital role in solving permutation flow-shop scheduling problem and it has attracted the attention of researchers in the past few years.
Keywords:	Flow-shop scheduling, Permutation Flow-shop Problem, Makespan, Meta-heuristic Algorithms
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	THE INFLUENCE OF COMPUTER TECHNOLOGY ON THE DEVELOPMENT OF INTERACTIVE TEACHING METHODS FOR STUDENTS
Author:	VOLODYMYR SADIVNYCHYI, IRYNA ZHYLENKO, OLENA BONDARENKO, VLADYSLAV NIZHEHORODTSEV, NATALIIA PROKOPENKO, INNA KUCHERENKO
Abstract:	The article examines the influence of modern computer technologies on the development of interactive methods of teaching students in the higher education system. The main tasks that interactive methods solve in teaching students are considered and as one of the solution tools - the introduction of modern computer technologies into the educational environment. The main opportunities that computer technologies provide to the educational process are analysed. A form of collective design using cloud technologies was developed and tested, namely, from a large number of them, after analysis, a choice was made in favour of Google Drive. The authors analysed the results after a survey of students participating in the experiment and made conclusions about the advisability of introducing computer technologies into the educational process, which have a powerful stimulating effect on the development of interactive methods of teaching students.
Keywords:	computer technology, Google Drive, interactive teaching methods, Internet, student
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	NEW GENERATION OF SOCIAL MEDIA MARKETING: CASE STUDY FEMALEDAILYNETWORK YOUTUBE CHANNEL
Author:	JESSICA APRILLIA, ULANI YUNUS
Abstract:	As an information management system, YouTube transforms marketing into structured content that serves as an archive and database to build social media marketing consistently for brands. In order to increase the greatest traffic through audience engagement, YouTube channels are used as a place to promote itself as a brand. There is even a tendency to present employees on YouTube as a business strategy. In the goal of building a brand through a YouTube channel, video content will certainly show an identity both as an independent video talent and as an organization. As the external face of the company, the company employees are seen by consumers and define the “who” a corporation is by showing personality traits that have been defined by the company, which are known as corporate brand personality. This qualitative study aimed to determine the marketing of beauty products constructed in beauty YouTube channel, to know the corporate brand personality constructed in beauty YouTube channel, and to find out the corporate brand personality constructed in the marketing of beauty products on the YouTube channel. The results show that the videos are displayed according to the personality of YouTubers and how they represent themselves through their video contents. On the other hand, corporate brand personality strengthens the personal branding of individuals in the company. Personality created by employees needs to be implemented from inside to outside the organization. Meanwhile, the construction of corporate brand personality in marketing beauty products on the YouTube channel can be seen in how video talents communicate verbally as a self-presentation of a part of the company, but also capable of nonverbal self-impression management. Although the implementation of the corporate brand personality dimension on YouTube channels is not free from risks, this step is worth to be taken.
Keywords:	Beauty Marketing, Corporate Branding, Corporate Brand Personality, Social Media Marketing, YouTube
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	APPLICATION OF BAYESIAN NETWORKS IN THE DECISION SUPPORT SYSTEM DURING THE ANALYSIS OF CYBER THREATS
Author:	AKHMETOV B.S., LAKHNO V.A. , YDYRYSHBAYEVA M.B., YAGALIYEVA B.E., BAIGANOVA A.V., AKHANOVA M.B., TASHIMOVA A.K.
Abstract:	The article based on the analysis of methods for constructing models of the attacker and cybernetic threats for information objects (OBI), the effectiveness of using the Bayesian network device in intelligent decision support systems for situations with poorly structured data on the types of threats to the OBI. Implemented a Bayesian network (BN) for the computational core of the DSS. The network is designed to predict the development of cyber threats to the OBI and it’s information and communication system (ICS). An example of the BN "Data Modification in an information system" is considered. The Bayesian network allows to operate on a set of random variables and determine the probability of a cybernetic threat to the ICS under given conditions. To improve the efficiency of attack prediction, the network parameters were trained with the EM algorithm (Expectation-maximization algorithm) based on the available statistical data. Alternative networks are also created based on network structure estimation with three different algorithms. The effectiveness of the developed models was checked using test samples that were not previously used in the BN training process. The results obtained indicate the feasibility of using EM and PC (Peter-Clark – PC algorithm) algorithms to obtain a high-quality result of recognizing cybernetic threats for the ICS of informatization objects.
Keywords:	Decision Support System, Modeling And Forecasting, Cyber Threat, Bayesian Networks
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	IMPACT OF COVID-19 PANDEMIC ON THE GLOBAL ECONOMY AND FUTURE PROSPECTS: A SYSTEMATIC REVIEW OF GLOBAL REPORTS
Author:	ASKAR GARAD, GUNAWAN BUDIYANTO, ABDULLAH M. AL ANSI
Abstract:	Propose: This study aims to investigate the economic practices and fluctuations due to the outbreak of the Covid-19 Pandemic in 2020 and future impacts in international economies. Method: This study is based on the variable "Low Probability - High Impact" that is studied by methods commonly used in future studies, namely: heuristic approach, deterministic approach, probabilistic approach. In addition, systematic and deductive reasoning method by analyzing the reports received by some countries, institutions, international organizations and research centers interested in this regard. Results: Reports showed that the economic crisis caused by the Covid-19 pandemic have major impacts on the global economy and significant changes will occur in the long run. Where the epidemic differs economically because it continues to hit hard the major economic countries and the countries most affected include the G7, in addition to China. These countries represent 60% of global supply and demand (GDP), 65% of global manufacturing, and 41% of global industrial exports. Future implications: The COVID-19 will continue to spread even after the emergence of treatment, because the treatment goes through many stages, including discovery and testing, production and distribution, and this means that the virus will keep pace with the global economy until 2021 and perhaps more. The world will try to move to repair the economic damage caused by the COVID-19. Economic reforms must be based on the current structures of globalization in order to succeed. Developing countries must pay attention to the need to build regional blocks based on sound foundations because they will be a protective shield for them in the long term for the effects of all variables based on (low probability - high impact). There will be a major change in international relations, and this will appear in new organizational forms, services and economic, the social role will be the solid force of these alliances. Originality/Value: This paper helps the world prepare to accompany the COVID-19 virus with a minimum for the next year 2021. Its effects will remain for many years, especially in developing countries that the Vaccine will be delayed receive. Therefore, strict health and economic precautions must be taken to mitigate the effects of the virus on its citizens and economy.
Keywords:	Covid-19 Pandemic, Economic Practices, Economic fluctuations, Global Economy, Future Economy, Impact Covid-19.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	EPILEPTIC SEIZURE DETECTION USING MULTIDISTANCE SIGNAL LEVEL DIFFERENCE FRACTAL DIMENSION AND SUPPORT VECTOR MACHINE
Author:	DESRI KRISTINA SILALAHI, ACHMAD RIZAL, DIEN RAHMAWATI, BANDIYAH SRI APRILLIA
Abstract:	Electroencephalogram (EEG) signal is a biological signal produced from an electrical activity from the brain. Abnormalities that occur in the pattern or content of the EEG signal indicate a brain disorder or disease. One of the disorders or diseases associated with brain function is epilepsy. Various methods were developed by researchers to analyze abnormalities of EEG signals using digital signal techniques. Many algorithms have been applied to achieve high performance for the classification of EEG epilepsy. However, the complexity and randomness of EEG signals is a challenge for researchers to apply the appropriate algorithm. In this research, fractal analysis of EEG signals is expected to be able to distinguish EEG signals in seizure, no seizure, and normal conditions. The multiscale method used is a multi-distance signal level difference (MSLD) and combined with the fractal dimension. Furthermore, classification is done using Quadratic SVM through 5-fold cross-validation which produces an accuracy of 99% on a scale of 1-10.
Keywords:	Classification, Epileptic Seizure, Fractal Dimension, Multi-Distance Signal Level Difference, Support Vector Machine
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	OPTIMIZING OF ITEM SELECTION IN COMPUTERIZED ADAPTIVE TESTING BASED ON EFFICIENCY BALANCED INFORMATION
Author:	JANU ARLINWIBOWO, HERI RETNAWATI, SAMSUL HADI, BADRUN KARTOWAGIRAN, GULZHAINA K. KASSYMOVA
Abstract:	Efficiency Balanced Information is an item selection method developed by Han (2009) with the aim of this research is to solve problems of other methods that have previously been widely applied in CAT. This study aims to explore the effectiveness of using Efficiency Balanced Information for item selection. This research will identify criteria that affect this method so that it is optimal when used in the CAT to predict student abilities. This research is simulation research with two simulation software, WinGen, and SimulCAT. Simulations are conducted by involving several variables, namely the ability estimation method (MLE, MAP, and EAP), item parameter estimation method (1PL, 2PL, and 3PL), Efficiency Balanced Information as an item selection method, and stopping rule based on SE which is 0.3. The simulation involves 150 items that characters have been defined in WinGen and the researcher run in SumulCAT 30 replications. Based on the results of the study it can be concluded (1) The most powerful item estimation method is 2PL, (2) the ability to estimate capabilities with EAP and MAP is relatively the same and the MLE indicates the ability interval that can be estimated narrower, (3) efficiency of administered items with EAP and MAP is relatively the same while MLE needs more items.
Keywords:	Efficiency Balanced Information, Item selection, CAT, Effectiveness, Ability Estimation
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	SELECTIVE IMAGE COMPRESSION-ENCRYPTION ALGORITHM USING ADAPTIVE HUFFMAN CODING AND AES
Author:	RUSHDI HAMAMREH, EMAD TABIB
Abstract:	The interest in data transmission is increasing in all types of multimedia such as digital images, text, audio, and video. Digital images have special characteristics such as data redundancy and strong correlation between adjacent pixels, that make it difficult for traditional ciphers like IDEA, AES, DES, RSA to deal with real-time digital image encryption as these ciphers require high computational power, to overcome all these issues in digital images transmission, and keep the model secure, we have proposed a selective image encryption algorithm that combines Adaptive Huffman coding (AHC) and Advanced Encryption Algorithm (AES) and proposed a selective bits model. As we know the digital image is represented by a 2D matrix, and each pixel in the matrix represented by 8 bits (1-Byte). To begin with, the plain-image matrix is divided into N X N blocks; where N is a multiple of 4. Then we selected the leftmost bits of the binary representation of the block pixels, then the selected bits from each byte are re-converted to decimal, the values of the generated block will be in the range of [0:1], [0:3], [0:7] for 1, 2, 3 bits selections respectively. Then the resulted blocks are compressed by AHC, then encrypted by AES algorithm. Also, we calculated the mean value of each block from the non-selected bits above. Both the encrypted selected bits matrix and the encrypted mean vector will be transmitted. The experimental result shows that the proposed algorithm provides a competitive compression ratio, high image quality (SSIM), high PSNR, in addition to the high-security; we measured the pixel sensitivity of images (NPCR and UACI) and got values close to the optimal values.
Keywords:	Image compression, lossy image compression, Selective Image Compression and Encryption, Adaptive Huffman coding, Advanced Encryption Algorithm,
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	DEVELOPMENT OF AN AUTOMATION PROGRAM AND PID CONTROLLER COEFFICIENTS TESTING FOR OPTIMAL CONTROLLING THE AIR HEATING/COOLING PROCESS IN MOBILE COMPLEXES
Author:	IGOR OLEGOVICH KOSSYAKOV, АNEL BARLYBEKOVNA SHINYKULOVA, ANDREY ALEKSANDROVICH IVANOV, OMAROVA GULMIRA AMANGELDIEVNA, OMAROVA BOTAGOZ AMANGELDIEVNA, ZHUSUPBEKOV SARSENBEK SEITBEKOVICH, BATYRKANOV ZHENISH ISAKUNOVICH
Abstract:	The article discusses the problems and features of the air conditioning systems implementation for mobile complexes in Kazakhstan. The method of conducting an experimental study for selecting the optimal coefficients of the PID controller are presented. The selection of equipment for the experiment is carried out, taking into account the features of the air conditioning systems use in the sharply continental climate of Kazakhstan. The algorithm of automation operation is also given, according to which a program will be created to control the process of heating/cooling air in the mobile complex. The connection diagram of the devices that will be used during the experiment is described. The general principle of PID controller’s operation is considered. At the next stage, the coefficients of the PID controller found by the methods of the amplitude optimum, Ziegler-Nichols and Stogestad are calculated and taken from the sources. According to the developed algorithm, in the OwenLogic application created a program. At the final stage of the experiment, the coefficients found by different methods are set in the PID controller and the output power characteristics are removed. Later, they are compared. On the theoretical knowledge basis, the best characteristic is selected, which will be optimal for use in the air heating/cooling processes in the mobile complexes on the Kazakhstan state.
Keywords:	Mobile Complexes, Automation Of Air Conditioning Systems, PID Controller, PID Controller Coefficients, Automation Algorithm
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	SURVEY ON KANSEI ENGINEERING METHODOLOGY IN E-COMMERCE DESIGN: PRINCIPLES, METHODS AND APPLICATIONS
Author:	LIZAWATI ROSCLARITHA MAIDOM, ASLINA BAHARUM, DINNA N. MOHD NIZAM, FARHANA DIANA DERIS, NOORSIDI AIZUDDIN MAT NOOR
Abstract:	Current trends in product production indicate that customer associations are needed in terms of product design technology to determine their success in the market. Various E-Commerce websites are now widely available to the public, and the number continues to grow over time. Capturing users’ needs is the fundamentals of a successful website design. However, website designers have focused more on the development of function and usability, and less focus is given to fulfill and address user-driven demands. The implicit needs in user experience are difficult to quantify. Kansei Engineering is a technology that can assimilate Kansei-based humans for the designation of product variables. This paper examines the principles, methods, and applications to understand the needs of users in E-Commerce and specifically explains the Kansei Engineering framework. This framework offers an understanding of the implementation of Kansei Engineering in finding implicit user needs and analyzing its relationship to E-Commerce design specifications. The proper use of Kansei Engineering implementation will benefit researchers and designers from the outline of the design to produce E-Commerce websites. It shall be useful to be used as guidance and improvements reference. This paper surveyed the Kansei Engineering methodology principle and then explores their prior application as part of the product design creative process with the perspective on the E-Commerce websites on the significance of the study in emotional appeal in website design. This paper will outline the Kansei Engineering methodology approach from various angles applied to E-Commerce contributing to conversion and retention. Suggestions and advice on the most suitable approaches that can be implemented to improve the E-Commerce quality are provided at the end of this survey.
Keywords:	Approach, Emotions, Cognitive, Usability, User Experience, Satisfaction
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	FACTORS INFLUENCING HUMAN CENTRIC MODEL FOR BETTER PASSENGER EXPERIENCES USING SMART SECURITY SYSTEM IN DUBAI AIRPORT
Author:	GHALIB ABDULLAH ALMARRI, MASSILA KAMALRUDIN, HALIMATON HAKIMI, SAFIAH SIDEK
Abstract:	Due to the increase number of passengers, security infrastructure is crucial and caused security process and services involved in every phases of passenger’s travel life cycle and leads to long waiting lines at screening point. This has led to unpleasant experience on the passenger at the airport. Thus, it is necessary to design a security infrastructure that incorporates human perspectives and needs. To do this, this study presents the analysis of factors that influence the passenger experience in using smart security system at airport through Human-Centric designed model. This paper reports a study that investigates the relationship of seven human factors to passenger experience using the smart security system at Dubai International Airport. A survey involving 400 respondents at the airport was conducted. Stratified sampling was used to determine the sample and the questionnaire was distributed via online and face-to-face. Multiple regression analysis using SPSS was adopted to test the seven hypothesis and validate the human-centric model. It was found that six human factors, namely emotional/feeling, behavior, needs and requirements, usability, trust and ergonomic were accepted, while one human factor, namely cognitive was rejected. The results serve as a validation to propose a new human-centric design model of smart security system at airport. Considering the importance of security at the airport, it is expected that this model could be used as guidance to design a smart airport security system that specifically addresses human needs and behaviors.
Keywords:	Passenger Experience, Factors, Human Centric Model, Smart Security System, Airport
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	FACIAL EMOTION RECOGNITION BASED ON DEEP LEARNING TECHNIQUE
Author:	ELFATIH ELMUBARAK MUSTAFA , GAFAR ZEN ALABDEEN SALH
Abstract:	We have created a Deep Learning network to identify the emotion of a person. It is based on seven facial expressions. (angry, disgust, sadness, happy, nature, fear, and surprise). We used extended Cohn–Kanade (CK+) database basis of (10-fold cross-validation) to identify 6 facial expressions. The Deep Learning Network scored a recognition average of 88.9%. As you can see in the confusion matrix, the expressions happy and surprised achieved the best recognition rates 98.92 and 97.23 successively. We also used, in another experiment, the JAFFE database basis of (LOOCV) and it scored a recognition average of 88%. As you can see in the confusion matrix that the expressions of fear and surprise achieved the best recognition rates 93.33 and 93.33, respectively. We compared the performance of the proposed system to similar studies that followed the same databases with the same sample and the same style. The system we used outscored other systems in the other studies. We also compared in detail the percentage of identification performance for each expression in isolation using the extended Cohn–Kanade (CK+) database. We compared our study to other studies and we found that our system did better.
Keywords:	Deep Learning ,Facial Emotion Recognition ,Leave-One-Out Cross-Validation (LOOCV), 10-Fold Cross-Validation ,recognition rates , confusion matrix
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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Title:	HYBRIDIZATION GRADIENT DESCENT SEARCH WITH ARTIFICIAL BEES COLONY ALGORITHM IN GENERAL GLOBAL OPTIMIZATION PROBLEMS
Author:	GOH KHANG WEN, YOSZA BIN DASRIL, NAZARUDIN BUJANG, MAHATHIR MOHAMAD, MOH DANIL HENDRY GAMAL, LONG CHIAU SOON
Abstract:	General gradient-based optimization techniques such as the steepest descent method, Newton's method, and quasi-Newton method, often fail in globally solving non-convex optimization problems (multi-modal functions). The main reason is that once a local solution has been determined, these methods do not know how to pass a hill to obtain another better local solution. Therefore, a new gradient type method so-called ABCED Steepest Descent Method has been introduced in this paper which does not have the weakness been mentioned above. The ABCED SD method is a hybrid from a modified steepest descent method and the Artificial Bee Colony (ABC) algorithm. ABCED SD method developed through the ABC framework by replacing the exploitation search phase with modified steepest descent method, therefore the global optimum solution is obtained by the modified steepest descent algorithm. Reported numerical results shown that ABCED SD method able to locate the global optimum solution for the benchmarked general global optimization problems and the comparison results with the original Artificial Bee Colony algorithm also shown that ABCED SD method able to obtain the global optimum solution with less iterations. Besides that, ABCED SD method also does not require any initial point and it will not only determine the local minimizer as in the classical steepest descent method, but it manage to determine the global minimizer of the general global optimization problems.
Keywords:	Multi-Modal Function, Non-Convex Optimization, Steepest Descent Method, Artificial Bee Colony Algorithm
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2021 -- Vol. 99. No. 04 -- 2021
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