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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
October 2021 | Vol. 99 No.19

Title:	METHOD AND SOFTWARE SYSTEM FOR ASSESSING THE RELIABILITY OF INFORMATION SYSTEMS
Author:	ASKAR BORANBAYEV, SEILKHAN BORANBAYEV, NURBEK SISSENOV, NIKOLAJ GORANIN
Abstract:	The article proposes a method that allows you to assess the level of fault tolerance of information systems. Fault tolerance is assessed according to several criteria and various areas of optimization. The method allows you to evaluate and rank alternative solutions. The level of the alternative solution is determined by comparing the analyzed version of the alternative with the ideally best one. A corresponding software system has been developed that implements the proposed method. The method and software system make it possible to determine the fault tolerance of information and automated systems. The developed software system and the proposed method were used and tested in practice to assess the fault tolerance of the information system according to several criteria. During the practical application of the method, the levels of fault tolerance of each of the components of a real information system were identified. Thus, in practice, it was shown that the method can be used to assess the level of fault tolerance of information systems.
Keywords:	Information System, Fault Tolerance, Reliability, Method, Expert Assessment.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	OPTIMAL PATH PLANNING FOR WAITER ROBOT USING MODIFIED ANT COLONY OPTIMIZATION
Author:	NUKMAN HABIB, DJOKO PURWANTO, ADI SOEPRIJANTO
Abstract:	The waiter robot is utilized to give a quick service for customer's satisfaction in the restaurant. In performing its task, the waiter robot facing problems such as many obstacles consist of tables, chairs, or customers along the path in the workspace. Therefore, it has capable of path planning before moving to the goal. A traditional algorithm such as A-star and Dijkstra algorithm can solve path planning for the environment like this easily, they produce the shortest path but not safely motion. Modified Ant Colony Optimization (M-ACO) algorithm is presented in this paper used to get optimal path planning for waiter robot in the restaurant. We evaluate the M-ACO algorithm for the waiter robot by optimizing some parameters to observe the performance of this approach in terms safely motion and path length. At the same time, we also examine A-star and Dijkstra algorithms in the same working environment, so we can compare the performance of each approach. The experiment results for case 1 show that M-ACO with global transfer factor (P0) value of 0.9 gives path length 79.5264 cm without crashing any obstacles while A-star and Dijkstra give path length 73.907 cm with crashing any obstacles, and another experiment result for case 2 show that M-ACO with P0 value 0.9 give path length 99.745 cm without crashing any obstacles while Astar and Dijkstra give path length 84.5617 cm with crashing any obstacles.
Keywords:	Waiter Robot, Path Planning, Modified Ant Colony Optimization
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	CRYPTOCURRENCY ADOPTION IN E-PAYMENT: BARRIER OF ITS IMPLEMENTATION
Author:	NABY NOUHOU N CONDE, ADAMU ABUBAKAR IBRAHIM, NORBIK IDRIS, HAZWANI BT MOHD MOHADIS
Abstract:	Cryptocurrency is a type of cryptographic e-currency generated by the computational result of mathematical techniques throughout blockchain technology. It has bitcoin as the world's first decentralized anonymous digital currency which allows online transactions without relying on any third-party institutions or government. Though, its technology is considered as one of the secure online integrated payment systems in financial transactions for many different businesses, it is still struggling for its integration and people are reluctant to embrace its adoption. Therefore, to address this gap, we discussed several implications for theory within information system adoption in light with the study’s objective. the research utilized a quantitative method survey built on theories of Technological Acceptance Model (TAM), Theory of Reasoned Action (TRA), Delone and McLean Information System Success Model and Self-determination Theory Model (SDT) to examine the factors influencing its adoption in e-payment. We used a sample of 402 participants for the analysis where seven main variables and nine hypotheses got formulated and tested using PLS-SEM path modeling with SPSS. The result shows that the analysis of the data provided support for all the hypotheses and established a positive relation between variables and the findings obtained have both academic and practical worth in terms of Information Systems technology adoption for improving the understanding of factors influencing cryptocurrency adoption in e-transaction.
Keywords:	Cryptocurrency, E-currency, Blockchain, Bitcoin, E-payment
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	PERSONAL BRANDING: PRO BASKETBALL PLAYER BRANDING STRATEGY ON SOCIAL MEDIA
Author:	ARDELIA FADIYAH PRINGGODANI PUTRI, MUHAMMAD ARAS
Abstract:	Indonesia is a country with many talented sports individuals and professional athletes who can be competitive both at the national and international levels. However, skills and talents in sports alone may not be sufficient to ensure athletes’ career development and the lifespan of their career in the long run, due to the high risk of athletes being injured and unpredictable career period of athletes. Personal branding is something that should be considered for athletes as an element that will help athletes in achieving their present and future success, even after retirement. In this digital era, personal branding can be easily done online through social media platforms. Daniel Timothy Wenas is Indonesian Professional Athlete who are the importance of personal branding in social media – making him a professional basketball athlete with the highest numbers of followers on social media and has done many collaborations with numerous popular brands. This research was done by semi-structured interview sessions with several respondents: Daniel Timothy Wenas, Daniel’s manager, CEO of the brand who made Daniel as the brand ambassador, sports branding practitioner, and also Daniel Wenas follower on Instagram. This research doing validation triangulation method. The research results shown that before starting his personal branding, Daniel first learnt to identify his strengths and weaknesses, and then established a strategy of showcasing a message that an athlete can obtain many achievements and has a healthy lifestyle, while at the same time being good in cooperating and actively interacting with fans, partners, and the community.
Keywords:	Personal Branding, Instagram, Self Concept, Endorsement, Relationships.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	INDOOR NAVIGATION SYSTEM FOR BLIND PEOPLE USING COLOR QR CODE
Author:	BAKRI BADAWI, TEH NORANIS MOHD ARIS. MASLINA ZOLKEPLI, NOR AZURA HUSIN, NORAINI CHE PA
Abstract:	In this paper, we proposed an indoor navigation system to support blind and partially sighted people. The system consists of two parts. First part is the encoder or the QR code generator which will be used by the building manager to generate three different QR codes namely building information QR code, floor information QR code and room information QR code. The building manager is required to install this QR code in the building. Second part is the decoder which needs a mobile phone. The decoder will take the destination room from the blind person and then using the information stored inside the QR code will build the floor map and provide the navigation instruction. The experiment was done using our generated data set for three different virtual buildings. The result shows that the decoder succeeded to decode and build the virtual map for all QR code with distance less than 60 centimeters.
Keywords:	Aiding Blind People, Indoor Navigation, Virtual Map, Color QR Code.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	ARTIFICIAL INTELLIGENCE APPLICATION TO MAXIMIZE SOCIAL WELFARE IN THE ELECTRICITY MARKET BY INSTALLING SSSC
Author:	PADMANABHA RAJU CHINDA, RAGALEELA DALAPATI RAO
Abstract:	Congestion leads to a decrease in social welfare in a competitive electricity market. Social Welfare Maximization is thus an independent operator's technical challenge (ISO). The congestion can be eliminated by increasing the transmitting power of a network. The Static Synchronous Series Capacitor (SSSC) is very useful in optimizing the operation of the transmission system by being able to directly control the power flow. A corrective solution has been proposed in this paper to congestion management by SSSC. The Interior Point Approach Integrated with the Evolutionary Particle Swarm Optimization (IPM-EPSO) is recommended for congestion control to optimize social welfare. For checking congestion reduction Fuzzy logic has been used. IEEE 30-bus system tests the proposed methodology. The findings evaluated with and without SSSC indicate that this system is appropriate for long-term congestion management
Keywords:	Management of congestions; Deregulated power system; SSSC; Social Welfare; IPM-EPSO
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	STEADY STATE ANALYSIS OF DYNAFLOW CONTROLLER
Author:	RAGALEELA DALAPATI RAO, PADMANABHA RAJU CHINDA
Abstract:	A new member in flexible ac transmission systems (FACTS) known as dynaflow controller is presented in this paper. It is being used to regulate the flow of power in electrical transmission networks. Dynaflow controller can provide both series and shunt compensation, so, it can be called as hybrid compensator. It basically consists of a thyristor controlled phase shifting transformer (TCPST) and thyristor switched series capacitor (TSSC). This paper presents the equivalent circuit, the load flow model and the simple linear operation of the dynaflow controller. The newton-raphson power flow integrates the Dynaflow controller design and assesses various network parameters. The device's efficiency is evaluated on the conventional IEEE 30 bus system and the load flow analysis results are reported.
Keywords:	Flexible AC Transmission System (FACTS); Dynaflow Controller; Thyristor Controlled Phase Shifting Transformer (TCPST); Thyristor Switched Series Capacitor (TSSC); power flow analysis
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	«SQL-ATTACK RESEARCH AND PROTECTION»
Author:	ZHULDYZ TASHENOVA, ELMIRA NURLYBAEVA, AMANDOS TULEGULOV, ZHANAT ABDUGULOVA
Abstract:	The purpose of this article was based on research, identifying SQL attacks in databases and demonstrating effective ways to protect against them. This article provides a general explanation of SQL injection. In particular, we are talking about the problem of injections, the importance of the threat of the attack and the principles of the attack. The second chapter deals with the detection and prevention of SQL attacks and the methods used at that time. In addition, it also includes SQL attack analysis. Also discusses how SQL introduces the attack and how it is implemented in practice, as well as how to defend against it.
Keywords:	SQL Attack, ,Security SQL Injection, DB, Protection
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	APPLICATION OF DECISION TREE ALGORITHM FOR PREDICTING STUDENTS’ PERFORMANCE VIA ONLINE LEARNING DURING CORONAVIRUS PANDEMIC
Author:	HUSSAIN MOHAMMAD. ABU-DALBOUH
Abstract:	The novel coronavirus (SARS-CoV-2) pandemic has resulted in the worldwide closure of educational institutions such as universities. Accordingly, teaching in most countries now takes place remotely via digital platforms. As education moves from conventional to online instruction, student performance is a key concern for management because numerous factors could affect learning. This study proposes to evaluate the attributes of distance learning that could affect student performance and then adopt a classification algorithm to recommend improvements to higher education organizations. The relevant educational data for the algorithm were gathered in the 2020–2021 academic year from student surveys in four classes at the College of Sciences and Arts at Qassim University (Unaizah, Kingdom of Saudi Arabia). The data were then subjected to decision tree analysis, which generated a model based on 66 classification rules. The results of the present study showed that the model developed using data-mining rule-based classifiers is efficient for predicting a student’s final course grade. In order to evaluate the accurate of the correctly classified instances; three different classification methods were tested, i.e., Bayes Net-D, naive Bayes, and J48. As a percentage of the correctly identified cases using the three separate algorithms, the overall accuracies of the evaluation results were 90.2439%, 87.8049% and 95.0617 % respectively.
Keywords:	Artificial Intelligence, Machine Learning, Classification; Learning; Algorithm, Model; Education
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	THE EFFECT OF USER EXPERIENCE, BRAND IMAGE, AND TRUST ON PURCHASE DECISION IN SOCIAL COMMERCE FACEBOOK
Author:	SABIQ ADZHANI HAMMAM, EMIL ROBERT K.
Abstract:	The purpose of this study was to determine the factors that effect purchasing decisions on Social Commerce Facebook. First, whether user experience has a significant effect, second is whether the brand image has a significant effect and third is whether the trust has a significant effect on purchasing decisions. The data source used in this research is primary data, namely data directly sourced from respondents without any intermediaries, in this case, the answers to the questions in the questionnaire distributed online. Primary data produced in this study is the result of respondents' responses to the research variables to be tested. Because the population object to be studied is very broad, the researchers chose the cluster sampling technique. So the researchers decided to use the slovin formula to determine the number of samples to be used. The population size refers to the total number of Facebook users in the DKI Jakarta area as of January 2018, amounting to 16 million users. From the above calculations, a sample of 400 people was obtained, so to support this study the number of respondents consisted of 400 respondents. Furthermore, in this study, the data analysis used multiple regression analysis. This study shows that user experience, brand image, and trust significantly influence the purchase decision in social commerce Facebook.
Keywords:	Social Commerce, User Experience, Brand Image, Trust, Purchase Decision, Facebook
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	A METHOD OF DESIGN OF NEURAL NETWORKS BUILT ON FPGA
Author:	A.V. KOVALEV, O.B. SPIRIDONOV, I.E. LYSENKO, 4O.A. EZHOVA
Abstract:	Artificial intelligence technologies are based on the use of neural networks. At the same time, the actual issue is the implementation of neural networks on various software and hardware platforms. In this paper, we consider an effective method to design fully connected neural networks or convolutional neural networks and to implement these networks on FPGAs using the Xilinx System Generator for DSP and Matlab/Simulink package. The developed method is design of neural networks using the Xilinx System Generator for DSP library imported into the Matlab/Simulink environment and using the built-in MatlabC language to generate a given ANN neural networks structure automatically. The artificial neural networks designed according to this method are easily reconfigurable. Also such neural networks allow solving the following tasks: image recognition, optimal filtering. This method based on neural networks gives an opportunity to improve recognition procedures of technical conditions of monitor and diagnostics of complex objects. Also such methods could be a practical alternative of strict mathematical methods to solve problems of identification of objects of various types. Based on the results of the work, the following conclusions can be done. Using developed method it is impossible to implement even the input layer consisting of 6400 neurons (image 80x80). The structure of the neuron could be parallelized the multiplication and accumulation operations to speed up the work. At the same time the requirements to FPGA resources increase.
Keywords:	Neural Networks, Integrated circuits, FPGA, Method, Xilinx, Simulink.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	DESIGN OF AN INTEGRATED TELECOM SYSTEM FOR PERFORMANCE ENHANCEMENT ON SMART SHIPS
Author:	JUNGWOO KIM, JOOYOUNG SON
Abstract:	Smart ship is a next-generation ship to improve ship operation efficiency and management technology by utilizing big data-based information technology. It will lead to the development of smart ships' remote control and autonomous navigation. Currently, smart ships are equipped with various functions on a differentiated platform to secure competitiveness for each shipyard. Smart ships are expected to bring a lot of changes from the life cycle of ships, from construction to the aftermarket to decommissioning. However, even though a lot of time has passed since the emergence of smart ships, it is still at the level of collecting and analyzing ship data. These factors include low data reliability, unstable communication conditions, and invisible ship-to-shore anxiety. The unstable communication state is analyzed as the biggest cause that hinders the development of smart ships. The unstable communication conditions between the ship and the land as well as on board the ship will transfer trust and responsibility to each other, slowing the development of key functions of smart ships such as real-time monitor and control. Therefore, in order to improve the communication quality of the ship and further improve the performance of the smart ship, the ship's telecom system must be improved and integrated. An integrated telecom system will bring digitalization of smart ships, breaking the boundaries between land and ships, speeding up the shift to autonomous and unmanned vessels. This paper proposes a design method of an integrated telecom system in smart ships and the performance was evaluated in a field environment.
Keywords:	Smart ship, Integrated Telecom System, Data Communication Networks
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	DESIGN OF AN INTEGRATED TELECOM SYSTEM FOR PERFORMANCE ENHANCEMENT ON SMART SHIPS
Author:	JUNGWOO KIM, JOOYOUNG SON
Abstract:	Smart ship is a next-generation ship to improve ship operation efficiency and management technology by utilizing big data-based information technology. It will lead to the development of smart ships' remote control and autonomous navigation. Currently, smart ships are equipped with various functions on a differentiated platform to secure competitiveness for each shipyard. Smart ships are expected to bring a lot of changes from the life cycle of ships, from construction to the aftermarket to decommissioning. However, even though a lot of time has passed since the emergence of smart ships, it is still at the level of collecting and analyzing ship data. These factors include low data reliability, unstable communication conditions, and invisible ship-to-shore anxiety. The unstable communication state is analyzed as the biggest cause that hinders the development of smart ships. The unstable communication conditions between the ship and the land as well as on board the ship will transfer trust and responsibility to each other, slowing the development of key functions of smart ships such as real-time monitor and control. Therefore, in order to improve the communication quality of the ship and further improve the performance of the smart ship, the ship's telecom system must be improved and integrated. An integrated telecom system will bring digitalization of smart ships, breaking the boundaries between land and ships, speeding up the shift to autonomous and unmanned vessels. This paper proposes a design method of an integrated telecom system in smart ships and the performance was evaluated in a field environment.
Keywords:	Smart ship, Integrated Telecom System, Data Communication Networks
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	DYNAMIC TIME WARPING AND HIDDEN MARKOV MODEL CLASSIFIER IN TEXT DEPENDENT SPEAKER VERIFICATION SYSTEM WITH DIFFERENT SPEAKING VARIANT
Author:	KEVIN KURNIAWAN, RAYMOND SAMUEL, BENFANO SOEWITO
Abstract:	One of the main focus on IoT is how to make the facility more secure in order to increase the safety and convenience of the facility. While traditional authentication approach for verifying identity such as Personal Identification Number (PIN) or password is widely used, traditional authentication approach have major flaws that can make the verified user lost access to the protected resource or even pose a major security breach. Speaker verification is one of the many biometric system solutions to solve that problem. In speaker verification, a different speaking pattern and loudness of the voice may affect the performance for the system to verify an individual identity, which a change of speaker speaking pattern will occur very likely since a speaking pattern is highly affected by the speaker’s mental and physical condition, and loudness of the voice is affected by how far the speaker away from the microphone. In this paper, we compare two well research text-dependent speaker verification methods, dynamic time warping and hidden markov model, on verifying user’s identity on different voice variant (loud, normal, quiet, shout, and soft) to replicate the condition when the speaker is experiencing mental or physical conditions and the distance between the speaker and the microphone that affects the loudness of the voice and speaker speaking pattern. This paper uses 330 total train data and 1,600 total test voice data where every test voice data will be retested for every registered user. Research done in this paper shows hidden markov model achieved better accuracy on normal, shout, and soft voice variant by 2,6%, 0,5%, and 0.74% respectively, whereas dynamic time warping achieves better accuracy on loud and quiet voice variant by 2,79% and 2,3% respectively.
Keywords:	Speaker Verification, Text Dependent Speaker Verification, Hidden Markov Model, Dynamic Time Warping
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	WIRELESS SENSOR NETWORKS: OPTIMAL ROUTING STRATEGY BY BLUETOOTH MESH LOW POWER NODES USING ACO ALGORITHM
Author:	HUSSEIN ALMUSLEHI, AMRAN AHMAD, FIRAS M SALBI, ALAA JABBAR QASIM
Abstract:	As smart homes, factories, and farms developed, it has used sensors that communicate with wireless signals such as Bluetooth mesh-low power node (M-LPN) with the wireless sensor network (WSN) system, which causes them to be interfered with by different signals coming from different sources, which causes them not to function properly. The Bluetooth M-LPN is critical that enables the wireless sensor network to function. t makes up the inter-node controller of a WSN and collects information about nodes and sends commands to them on behalf of the founder/client node. A mesh system uses each node as a sensor and repeater. This means that each node must always listen for, relay, and route network traffic. This most likely results in decreased battery life. This proposed takes advantage of Bluetooth M-LPNWSN systems and algorithm-based efficient approach by using label-based Ant Colony Optimization (ACO) in the clustering process for allocating routing. Theoretical analysis and simulation results show that the proposed algorithm has a better performance in terms of total routing length, number of hops, and communication load when compared with the other existing algorithms such as Artificial Neural Networks (ANNs) that were used with the Bluetooth low energy system.
Keywords:	Bluetooth M-LPN; WSN; Bluetooth M-LPNWSN; ACO; ANN
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	ANALYSIS OF FACTORS AFFECTING USE BEHAVIORS OF WAREHOUSE BONDS APPLICATION IN MERAK BANTEN
Author:	MUHAMMAD ARYA PRIASTAMA PUTRA, SFENRIANTO
Abstract:	Warehouse Bonds Application is an integrated system of all Bonded Place services aimed at monitoring the entry and exit of goods in the customs area under the supervision of Customs and Excise officers. Utilization of Information Technology can provide implications for better performance of Information technology at Bonded Places in Cilegon Merak City. Researchers use the Unified Theory Of Acceptance And Use Of The Technology 2 (UTAUT2) model which is one of the acceptance models of Information Technology User acceptance or better known with the name user acceptance is an important factor that affects the successful implementation of a technology. Primary data was obtained from distributing questionnaires to 116 Bonded Place Application users in Cilegon Merak City. The research data were analyzed using multiple linear regression analysis. In the results of this study, habit factors have the most significant influence on the use of bonded place applications, followed by facilitation conditions. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model in this study can explain the success of research on acceptance of information technology at bonded places in Cilegon Merak City by 75.7%.
Keywords:	Bonded Place Application, Acceptance of Technology, UTAT 2
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	INVESTIGATING THE SUCCESSFUL OF E-COMMERCE MARKETPLACE SYSTEM IN JABODETABEK TO INCREASE CONSUMER ATTRACTIVENESS AND SATISFACTION OF USING THE SYSTEM
Author:	REFITO ILHAM, AHMAD NURUL FAJAR
Abstract:	Case study in Indonesia, has 238 million people with the fourth largest developing country in the world with a total internet user of around 28.07 million people. The development of Information System Technology lately reflects the development of online business, especially the e-Commerce market. During a pandemic condition, most consumers choose to buy or sell a product online with the help of e-Commerce information technology. In fact, e-Commerce provider must keep up with the consumer needs by implementing the strategy which is related between their business process and technology information that they used. Provide an excellence services and reliable system at all times to compete with other competitors in pandemic condition. To implement competitive strategies during a pandemic, the formulation of the problem in this case is very necessary to conduct an evaluation of a system that has been implemented with the aim of knowing the effect of the attractiveness of using the e-Commerce application and can maximize consumer satisfaction with the system provided they are required to develop, better quality in terms of services, information or systems. Determine what factors influence the use of E-commerce marketplace applications in order to increase consumer satisfaction by adopting Information System Success Model with 3 main quality in order to know and explain what dimensions affect the successful implementation of a system. Data analysis method is tested by structural equation model - partial least square using SmartPLS software. It has collected 400 e-Commerce user respondents have transacted. The questionnaire is distributed with google form through social media in the Jabodetabek area. The model is suitable for the evaluation of the success of information systems, in the e-Commerce sector in Indonesia. The result shows the dimensions to increase the attractiveness of using the e-Commerce system are system quality, information quality, and service quality. The findings also indicate to improve user satisfaction with the system are influenced by system quality, service quality, and trust. It could indicate an evaluation of the success of the system to increase consumer attractiveness and satisfaction with an e-Commerce system by paying attention to these variable factors. This study provides theoretical findings to encourage business strategies in the field of e-Commerce, especially during a pandemic and enhance the measuring information system success using modified Information System Success Model that has never been done by other researchers.
Keywords:	e-Commerce, DeLone & McLean, SEM-PLS, trust
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	A NEW METHODOLOGY FOR EFFICIENT FLOOD RISK MAPPING USING MACHINE LEARNING TECHNIQUES
Author:	SWATI SHARMA, VINEET SHARMA
Abstract:	The flood is the cause of destruction for many places in the world. Flood prediction is a complex method due to its nature. The flood arrives with vast destruction in the society. The flood assessment is an essential task for the government bodies to take measures at the right time. In this study, a new procedure is designed to choose the best machine learning model for efficient flood mapping using machine learning techniques. An automated algorithm is created using a Decision Tree, Random Forest, Gradient Boosting Classifier, and KNN techniques. The Random Forest Classifier gave the highest accuracy with 88.58% with this (the considered) dataset. For the evaluation of the model, confusion matrix, learning curve, and classification reports are used. In this study, Open Flood Risk by postcode dataset is used.
Keywords:	Flood Risk Mapping, Machine Learning, Decision Tree, Random Forest, KNN
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	CRISIS PHENOMENA AS AN INCENTIVE TO INTENSIFY E-COMMERCE OF THE ENTERPRISE
Author:	VALENTYNA PAVLOVA, TETIANA MUROVANA, NATALIIA SARAI, VIKTORIIA VELYCHKO, KOSTYANTYN ILLYASHENKO, HANNA HRYSHYNA
Abstract:	The latest global crisis has negatively affected the global economy as a whole, but it has had a stimulating effect on e-commerce. Electronic commerce around the world has intensified with a breakthrough in sales and transactions. While virtually the entire world has imposed restrictions to contain the spread of the pandemic, Internet technology and e-commerce have helped many enterprises stay afloat and the impetus for a massive transition to online. Today, global digitalization allows you to make purchases without leaving your home. At the same time, customers get a complete picture of the product using modern IT technologies, such as AR & Video Consultations, Voice robots and Assistants, make payments using new payment systems, and receive the goods as soon as possible. At the same time, e-commerce faced several challenges. The article examines the trends in the development of e-commerce in the world and the correction of the share of e-commerce in total retail sales in connection with the crisis. Changes in the structure of the e-commerce market of enterprises under the influence of the crisis phenomena are noted. The article identifies the main problems that e-commerce enterprises faced during the last global crisis and the ways to solve them. Technological trends in the global e-commerce market are noted, such as chatbots, blockchain, artificial intelligence, mobile commerce, etc. The article also indicates the main trends in the development of e-commerce under the influence of the crisis. These tendencies are aimed at creating conditions that will quickly or even automatically close the questions and doubts of the user regarding the purchase of goods in the online store and at attracting the most "hot" visitors. The surge in e-commerce due to the crisis has led to increased online businesses and increased competition. Each salesperson fights for a customer, and searching for solutions to win customers generates new trends in online sales. The article highlights the following trends that are necessary to maintain positions in e-commerce: process automation; focus on m-commerce; the use of voice assistants and robots; the use of new different payment methods, including new ones; organization of fast delivery, etc.
Keywords:	Chatbots, Crisis, Customer Data Platform, E-Commerce, Online Scam.
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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Title:	BIG DATA TECHNOLOGY FOR VILLAGE STATUS CLASSIFICATION BASED ON VILLAGE INDEX BUILDING INVOLVING K-MEANS ALGORITHM IN PROGRAMS TO SUPPORT THE WORK OF THE MINISTRY OF THE VILLAGE
Author:	PASKA MARTO HASUGIAN, HARVEI DESMON HUTAHAEAN, BOSKER SINAGA, SRIADHI, SARONOM SILABAN
Abstract:	The problem that is used as part of the research is village status data which is only used and utilized in the current year and has been going on since 2014 so that there is an accumulation of data in the database and no in-depth analysis has been carried out to obtain information related to village status. This research aims to analyze the village status group using the k-means algorithm and provide the best cluster information using the Elbow Method by finding the SSE (sum of squared-error) value by utilizing the cluster closest to the elbow on the graph. The Ministry of Villages has described the method of solving problems using secondary data through the website https://idm.kemendesa.go. Id/ followed by the application of the K-means algorithm and determining the best cluster. The results obtained in the study are a comparison of sets from the village ministry with cluster information provided by the K-Means algorithm, namely the status of independent villages has increased by 761 villages, developed villages from 202 experienced an increase in data of 1095 data, growing villages with the K-Means algorithm decreased. With a difference of 1150 villages, underdeveloped villages decreased based on the K-Means Algorithm with a difference of 1158, and very disadvantaged villages increased up to a difference of 452. Testing with the Elbow Method provides information and offers the best cluster for grouping village status. The number of groups is four groups with an independent position, Forward, Develop, lag.
Keywords:	Status Village, K-Means, Elbow, SSE
Source:	Journal of Theoretical and Applied Information Technology 15^th October 2021 -- Vol. 99. No. 19 -- 2021
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