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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.20

Title:	ANALYSIS OF FACTORS THAT AFFECTING CUSTOMER LOYALTY ON NETFLIX APPLICATION
Author:	DEVI PURI, AHMAD NURUL FAJAR
Abstract:	The main objective of this research is to view the factors that influences user's loyalty acceptation on Netflix streaming application by using the previous valid literature indicators based. The method being used in the data collection is questionnaire through Google Form media. All is being processed using Smart PLS 3. The result of this research shows that there is a direct significant influence between perceived ease of use on perceived usefulness and perceived usefulness is confirmed to effect on Satisfaction and Customer Loyalty, then Fairness factor is confirmed to significantly effects Trust and trust has effects on satisfaction and Customer Loyalty, Quality Dimensions, and Price also has direct significant influence on satisfaction and satisfaction has direct significant influence on customer loyalty. And for the specific value, the indirect effect of trust has an indirect role on customer loyalty through mediation role on perceived usefulness and satisfaction.
Keywords:	Netflix, Digital Video Streaming, Customer Loyalty, Purposive Sampling Technique.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	MONITORING SYSTEM DESIGN BASED ON INTERNET OF THINGS (IOT) AT THE XYZ COMPANY DATA CENTER
Author:	ADITIYA KELANA, DITDIT NUGERAHA UTAMA
Abstract:	XYZ company is an engaged consumer electronics and mobile communications company. The use of information technology plays a significant role in this company to run business. Therefore, XYZ companies need to change the DC environment due to the utilization of information technology to adapt to the increasingly competitive competition. The new solutions are going to expect to benefit from a more efficient IT budget. Currently, there is a monitoring system on the DC that provides alerts in the form of indicators that are difficult to be accessed by PT XYZ because of the location is far from the DC; it is indeed challenging to analyze the cause of the server when experiencing downtime or failure. Monitoring is currently in the form of reports provided by DC service providers. Furthermore, this study aims to design a monitoring system using temperature, humidity, and voltage sensors on DC-based Internet of Things (IoT) to identify the air condition and energy consumption used for maximum server performance. The device used is a DHT11 sensor as a temperature and humidity sensor. The voltage sensor operated here is ZMPT101B, which serves to read voltage values, on the microcontroller side using Arduino that serves to process data read from the sensor. The entire process performed by IoT that is going to be sent by ethernet shield to the database server and visualized using Grafana as a monitoring dashboard. This study explains how IoT is able to measure the temperature, humidity, voltage, and availability service providers offer. The method used for availability measurement is AST to classify the DC tier used. The new solution expected that this research could be an input for companies in monitoring DC SLA offered by service providers to meet the company's needs.
Keywords:	Internet of Things, Data Center, Availability Service Time, Monitoring, Micro-Controler
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	MODELLING AND SIMULATION OF SYMMETRICAL AND UNSYMMETRICAL FAULTS ON 14 BUS IEEE-POWER SYSTEMS
Author:	AGUS JUNAIDI, RAHMANIAR, RUDI SALMAN, JONI S. RAMBEY, ABD. HAMID K, BAHARUDDIN
Abstract:	Short circuit disturbance in the electric power system, is the relationship between one voltage system and another directly connected system with a very small impedance. The direct connection results in the distribution of electric current at the fault point exceeding the nominal current. This situation has an impact on system instability, the system works in an unbalanced state and can damage equipment, if the disturbance is not neutralized (secured). The study of short circuit faults fundamentally consists of symmetrical faults and unsymmetrical faults (line to Ground Fault). In the simulation study, it is observed that three-phase symmetrical faults can be analyzed based on parametric data of the sub-switch reactance of the system, and one-phase asymmetrical faults to ground. Symmetrical fault analysis can be used as a reference in determining the breaker capacity, while for asymmetrical faults, L-G faults are implemented in determining the protection relay settings. The determination of the value of symmetrical and asymmetrical faults applies the analytical method of the Zbus model, carried out with system impedance data from the line diagram of the electric power system, then the system reactance data entry is carried out, then the symbolic notation of the connecting points is referred to as Bus. The number of buses will determine the number of orders of the bus impedance matrix (ZBUS). This ZBUS matrix becomes a reference in determining the value of short circuit impedance on each bus, by observing the diagonal of the ZBUS matrix. Calculations using the Matlab software tool, to determine the amount of fault current for each bus. From the data of 14 BUS-IEEE Power Systems, a trial was carried out for the fundamental study of the largest analysis results on buses 2, and from the characteristics of the comparison results, it can be seen that the value of the symmetrical fault current is greater than that of the non-symmetrical fault.
Keywords:	Symmetrical, Short Circuit, 14 Bus, Power Systems
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	GROUP DECISION SUPPORT SYSTEM MODEL TO DETERMINE PROSPECTIVE PARTICIPANTS FOR LECTURER STRENGTHENING ACTIVITIES
Author:	M. MIFTAKUL AMIN, YEVI DWITAYANTI
Abstract:	Sriwijaya State Polytechnic is one of the state vocational universities in Indonesia which plays an important role in producing alumni with adequate expertise. Efforts are being made to achieve this goal through increasing the competence of lecturers in the Higher Education environment. The program is realized by carrying out lecturer strengthening activities which are divided into 5 activities, namely 1) assignment research, 2) assignment service, 3) workshops and training, 4) competency certification, and 5) industrial internship. This study aims to build a model group decision support system (GDSS) for management in universities to determine lecturers who will participate in lecturer strengthening activities. The method used is a combination of Multifactor Evaluation Process (MFEP) and Borda. The MFEP method is used to generate recommendations from each decision maker independently, while the Borda method is used to perform aggregation and final ranking of the recommended alternatives. In this built GDSS model, there are 8 criteria and 20 alternatives involved in testing the proposed model. The results of this study can be used by management in universities in group decision making, and as a research model in group decision support systems.
Keywords:	Group Decision Support System (GDSS), Multifactor Evaluation Process (MFEP), Borda.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	VIDEO REPRESENTATION BASED ON OPTICAL FLOW FOR DYNAMIC CONTENT ANALYSIS
Author:	NARRA DHANALAKSHMI, Y. MADHAVEE LATHA, AVULA DAMODARAM
Abstract:	The efficient organization of multimedia databases challenges content -based representation to retrieve the video of interest. This paper aims to represent given video by considering its dynamic content through the analysis of optical flow. It is tended to have video segmented into overlapped sequence of frames based on gray content similarity. This step can facilitate analysis of complex video into elementary scenes. The principle involved in representing the content of video is considering the spatial movement of video content across the frames. The algorithm is designed to find the dynamic content by observing all levels of motion in the video through pyramid generation. Then, an optical flow is derived in terms of spatial and temporal information of motion regions. The histogram representation is created with both the rank and orientation of the optical flow. This kind of methodology contributes to efficient representation which enhances effective content analysis to improve the efficiency of further stages. The videos of You Tube 8M and UCF Sports data sets have used to evaluate the algorithm.
Keywords:	Temporal video segmentation, Gaussian Pyramid, Optical flow, Normalized Histogram Intersection Similarity, Video Representation
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	DUAL LINEAR POLARIZATION RECONFIGURABLE PATCH ANTENNAS FOR LOWER 5G FREQUENCY BAND
Author:	ABDELLAH ATTALHAOUI, ABDELHAK BENDALI, ABID-REDA El WARDI, MOHAMED HABIBI
Abstract:	Linear polarization reconfigurable patch antennas for 5G application are presented in this paper. The first type is U-shaped antenna which has been proposed and analyzed and can switch among two symmetric polarizations. The second type is Y-shaped antenna which has been analyzed and can switch among two orthogonal polarizations. The two types of antennas can generate the polarization diversity without affecting the other performances such as the radiation pattern and the frequency. These types of antennas are required for wireless communication systems because they can avoid the fading loss and increase the channel capacity. To achieve the linear polarization reconfigurability, two diodes are integrated into microstrip feed. For both states of operation of antennas, the resonant frequency was determined to be between (3.4–3.6) GHz. The simulated results of reflection coefficient and gain are carried out using HFSS (high frequency structural simulator) and CST (computer simulation technology) software. The operation frequency, the simple structure, and good gain make these antennas good candidates for 5G communication.
Keywords:	Polarization Reconfigurable Patch Antenna, U-Shaped Antenna, Y-Shaped Antenna, HFSS, CST
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	CCLRSP - A COLLABORATIVE CROSS LAYER ROUTE SELECTION PROTOCOL FOR LOW-POWER LOSSY WIRELESS NETWORKS
Author:	B. UMARANI, A. R. NASEER
Abstract:	Route selection in low-power lossy networks (LLN) is a challenging task due to the constrained nature of wireless devices. With the LLN providing the underlying network for several IoT applications, which require devices with high network activity, energy efficiency becomes more crucial in comparison to typical wireless sensor networks (WSNs). Also, most of the works in this direction that are based on cross-layer designs only rely on either physical layer or medium access control (MAC) sub-layer optimizations to select routes. The majority of the contributions identified with Cross Layer Design that depend on just physical layer grandstand where by changing the transmitting power, the energy devoured by the nodes can be upgraded. Additionally, the works that depend on just MAC sub-layer can only target on the issues like contention, impacts with least yields towards the collective advantages. In this work, a novel attempt is made to achieve the collaborative benefits of the node and as well as the network. In this paper, we initially show that considering both physical and MAC layer properties can benefit the route selection process by lowering the individual devices’ energy and also the overall network lifetime. Then, we propose a collaborative cross-layer route selection protocol - CCLRSP that relies on physical layer and MAC layer properties to choose a low-cost route. At the physical layer, we employ the adaptive and robust topology control mechanism (ART) that is based on determining the optimal transmission power for a transmitter to reach the next-hop neighbor. At the MAC level, the physical layer findings are cross verified to minimize the contention and interference through the expected transmission count. The proposed protocol combines the parameters from these two layers to select an energy efficient route that employs a balanced approach to prevent few network nodes from draining energy quickly by load-balancing. The proposed protocol is evaluated using extensive simulations and is shown to perform better than existing works.
Keywords:	Low-Power Lossy Networks, Cross-layer Design, Cross Layer Route Selection, PHY & MAC Layers, Wireless Sensor Networks, Internet of Things,
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	PIRACY IN UNIVERSITY: FACTORS ASSOCIATED WITH DIGITAL PIRACY AMONG MULTIMEDIA STUDENTS
Author:	DING CHIU SIN, SYARULNAZIAH ANAWAR, ZAKIAH AYOP, ASLINDA HASSAN, NUR FADZILAH OTHMAN, NOR RAIHANA MOHD ALI
Abstract:	Internet is especially important during the Covid-19 pandemic, where there is wide adoption of an online learning platform for teaching and learning. Students always utilize the Internet in many ways to meet their academic needs. Therefore, considerable attention has been given to the problem of digital piracy behavior among university students. This study aims to investigate the factors to be considered as part of digital piracy behavior among multimedia students. Guided by a theoretical perspective from Deterrence Theory, Ethics Theory, and Neutralization Theory, this study adopted a quantitative methodology where data from a survey (N=200) of multimedia students in public and private universities in Malaysia is analyzed. This study proposed a model that offers understandings of the contributing factors that may influence digital piracy behavior among multimedia students. Based on the findings, this study concluded that fear of legal consequences has the highest influence on digital piracy behavior, followed by perceived likelihood of punishment and neutralization techniques. This study may benefit other researchers attempting to understand multimedia students' standpoints on digital piracy behavior and increase user awareness in the computer ethics research area.
Keywords:	Digital Piracy, Intellectual Property, Computer Ethics
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	AN EFFICIENT APPROACH TO DETECT AUTISM IN CHILD USING MACHINE LEARNING AND DEEP LEARNING
Author:	T. AMALRAJ VICTOIRE, A. RAMALINGAM, A. NARESH, K.M NASIMUDEEN, M S JAYA KUMAR
Abstract:	Autism spectrum disorder (ASD) is growing among children. Detecting of autism through screening test is very time consuming and cost effective. Unfortunately there is no proper method to heal autism. Autism spectrum disorders (ASD) are complex neuro-development disorders that include shortage in interaction with social, communication, and the existence of duplicative and restricted behaviours. The symptoms are generally identified in children’s aging less than three years and have to be amid impairment in cognitive functioning, learning, attention, and sensory processing. Autism Spectrum Disorder (ASD) is a neuro-developmental disorder that has become one of the major health problems and for controlling the disease early diagnosis is very much important. The increase within the number of autoimmune influenza and ASD cases within the world reveals an urgent got to develop easily applied and effective screening methods. But if it is detected earlier, we can motivate them to move socially and decrease the level of autism in them. So, we detect autism using machine learning and deep learning techniques to find the symptom in earlier stages. A coherent iterative algorithm is designed and the proof of convergence is given.
Keywords:	Machine Learning, Autism Spectrum Disorder, Deep Learning.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	MULTIDIMENSIONAL INSIDER THREAT DETECTION MODEL FOR ORGANIZATION
Author:	GANTHAN NARAYANA SAMY, NURAZEAN MAAROP, BHARANIDHARAN SHANMUGAM, MUGILRAJ RADHAKRISHNAN, SUNDRESAN PERUMAL, FIZA ABDUL RAHIM
Abstract:	Insider threat is a most worrying threat that haunts many organizations today that cause enormous financial losses and damages. As a frontline, Information Technology (IT) organizations has to implement necessary countermeasures to protect critical infrastructure. Although, many approaches proposed before to detect and mitigate insider threat, significant rise of cases in past few years and unavailability of a widely accepted solution paves way to conduct more researches. Moreover, the pandemic situation has brought in a new challenge for IT organizations to review the existing safeguards. This paper aims to contribute an interdisciplinary approach at proposing a multidimensional model that scrutinize factors from multiple dimensions such as psychological, behavioral, technological, organizational and environmental dimension that triggers insider threat. The constructed model coordinates organizations to counter insider threat by addressing issues in more effective and efficient way by applying the multidimensional approach for mitigation.
Keywords:	Insider Threat, Psychological Dimension, Behavioral Dimension, Technological Dimension, Organizational Dimension, Environmental Dimension
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	CONSTRUCTING THE NOVELTY OF SME COLLABORATION PARAMETER IN GAMIFICATION BASED ON “SILATURRAHMI” CULTURE
Author:	FITRI MARISA, SHARIFAH SAKINAH SYED AHMAD, ZERATUL IZZAH MOHD YUSOH, MARDIANA ANDARWATI, NOVI DIAN NATHASIA, CHAULIAH FATMA PUTRI
Abstract:	Collaboration is one of the essential strategies to maintain Small Medium Enterprise (SME) in facing the global market. However, there has been no agreed formulation of a collaboration model as a benchmark in previous studies, including the parameters used to measure collaboration performance. Weak motivation to collaborate is also an actual problem faced by SMEs. On the one hand, culture is one of the roots of individual thought and behavior as an essential aspect that influences the behavior of SME actors in running their business. Therefore, a culture-based SME collaboration model is proposed in the gamification platform to present a more adaptive model and increase collaboration motivation. This research is focused on building novelty parameters to measure collaboration performance as the primary basis for realizing collaboration gamification models. Based on the literature review, there are four principles of "silaturrahmi" culture that have similar characteristics with collaboration, including Relationship Building (X1), Reciprocal Sustainment (X2), Reciprocal Assistant (X3), and Active Support (X4). The test was started by collecting questionnaire data from 63 respondents who were the movers of SMEs. The theme of the question is about the influence of the four principles of silaturrahmi on collaboration. Data analysis was carried out using the linear regression method and all test requirements (validity, reliability, normality, linearity, heteroscedasticity) to measure the influence of the four principles of "silaturrahmi" (Variable X1, X2, X2, X4) on collaboration (Variable Y). The results show that four variables have met all test requirements for linear regression analysis, resulting in a significance value (sig.) < 0.05, t value > t table, the value of the regression coefficient (B) is positive. It means that the four variables have a positive effect on collaboration because all hypotheses are accepted. The four can be a parameter to measure collaboration performance with the proportion of the role of each variable that can be considered from the R-Square value. Thus, these four parameters can be used as the primary basis for building a collaboration gamification model as a reference for measuring collaboration. To implement the four parameters, they were included in the collaborative gamification mechanics material.
Keywords:	Collaboration Parameters, Silaturrahmi Culture, Collaboration Gamification, SME
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	DYNAMIC RECOMMENDATION BASED ON USERS' LONG-TERM AND SHORT-TERM PREFERENCES AND SOCIAL IMPACT
Author:	LI FEI DA, YIN SI ZHE, HAN SONG HE, LIU YU JING, SUN HAO
Abstract:	Aiming at the irrationality of existing social recommendation algorithms, such as not fully mining the preference correlation between users and not fully considering the dynamic change of user preferences in time, this paper proposes a dynamic recommendation algorithm based on user long-term and short-term preferences and social influence. From the dynamic change of user preferences and the social relationship of users, the improved gating cycle unit is used to model the user rating information and extract the long-term and short-term preference features; According to the user correlation matrix, the social impact of learning target users is expressed. Experiments on two real datasets show that the proposed algorithm is better than the comparison algorithm.
Keywords:	Social Recommendation, Preference Learning, Collaborative Filtering, GRU, Recommendation Algorithm
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	ANALYSIS AND DESIGN OF VOICE ASSISTANT FOR INDONESIAN BANKING TRANSACTION
Author:	DYAH YUNIATI, RIYANTO JAYADI
Abstract:	The number of FinTechs in Indonesia requires banks to have the right strategy to attract new customers and retain their customers. Therefore, banks are competing to create more innovative products and services than their competitors. Several banks in developed countries such as U.S. Bank, Barclays U.K. and OCBC Singapore have innovated by implementing voice assistants for financial transactions so that customers can transact anytime and anywhere easily. However, no banks in Indonesia provide voice assistant services for financial transactions such as transfers and bill payments. Even studies on this feature have never been conducted in Indonesia. Therefore, this study analyzes the feasibility of developing voice assistants for banking financial transactions in Indonesia using the PESTLE framework. The authors then propose a service model and application design by adapting the Design Science Research (DSR) methodology. The study results provide a service model that includes checking balances and recent transaction history, adding bank contact, checking the amount of credit card bills, internal bank transfers, interbank transfers, e-wallet top-ups and bill payments. The study results also found three challenges that will be faced by the Bank in implementing voice assistant services. Those are determining the most secure authentication system, the level of accuracy of voice assistants in capturing user voice commands that need to be tested and education to customers that is accurate, clear, and transparent.
Keywords:	Bank, Banking Transaction, Dialogflow, Pestle Analysis, Voice Assistant
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	NEW CROSSOVER VIA HYBRID ANT COLONY SYSTEM WITH GENETIC ALGORITHM AND MAKING STUDY OF DIFFERENT CROSSOVER FOR TSP
Author:	ASMAA HEKAL OMAR, AMANY AHMED NAIM
Abstract:	The traveling salesman problem (TSP) is a very famous NP-hard problem in computer science and operations research. In this study, proposed a new hybrid crossover (SPMX) combining the shuffle crossover and partially mapping crossover which served to develop Genetic algorithm (GA) to solve this problem since crossover is the main component of GA. And, apply the proposed SPMX on hybrid ant colony system with GA with Ant colony system (ACS), which called by (ACSGA) to solve TSP. Experimental results on some well-known TSPLIB instances of different types and sizes. The obtained comparative study clearly demonstrates the utility of the proposed a (SPMX) to enhance ACSGA for resolving TSP and the distance decrease by 0.82% with average 0.47%.
Keywords:	Travelling Salesman Problem (TSP), Genetic Algorithm (GA), Crossover Operators, Ant Colony System (ACS)
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	CURRICULUM MANAGEMENT INFORMATION SYSTEM DESIGN IN EARLY CHILDHOOD EDUCATION
Author:	EDI WALUYO, DIANA, DESTY CITRA SARI, NURUL AIDA LESTARI
Abstract:	This article aimed to examine and develop a curriculum management information system design to provide convenience for principals and teachers in curriculum development. This study used a qualitative design to find new relationships to problems in the early development of curriculum management information system design. The research subjects were the principal and teachers in the ECE Lab school UNNES institution. Data collection techniques were carried out through focus group discussions (FGD) and questionnaires. Based on the research data, an initial model of the curriculum management information system design was obtained which could provide systematic steps for planning and organizing. Furthermore, based on the questionnaire, it was found that the design of the management information system was practical and received a good response from the respondents.
Keywords:	Design, MIS, Curriculum, ECE
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	A SYSTEMATIC LITERATURE REVIEW OF AUTOMATIC KEYWORD EXTRACTION ALGORITHMS: TEXTRANK AND RAKE
Author:	MANAR YAHYA , DERAR ELEYAN , AMNA ELEYAN
Abstract:	There are various techniques available in text mining for text summarization which will provide the concise meaningful text from the original text document. Keywords give the summary of the text and help to understand the information described in the text document. Traditional approaches to extract useful Keywords from a text depends on human effort heavily, and because of the difficult manual extraction and consuming much time, the Automatic Keyword Extraction algorithm has been used to extract a keyword efficiently that reduces the scope for human errors and saves time. TextRank and RAKE are approaches based on unsupervised techniques to extract the keywords from the text. This research systematically identifies peer-reviewed literature that discusses to utilize TextRank and RAKE algorithms for automatic keyword extraction from texts and presents a comparison between these keyword extraction approaches. Also, this systematic review presents the latest applications which use keyword extraction approaches.
Keywords:	Text Summarization, Automatic Keyword Extraction, TextRank, RAKE, Unsupervised Approach
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	THE MYTH OF WOMEN'S HEALTHY LIFE AS THE PERSONIFICATION OF HEALTH PRODUCTS IN WEB SERIES ADS ON YOU TUBE
Author:	AHMAD MULYANA, MUHAMAD ARAS, RAMANOV BAREZKI
Abstract:	In the era of social media, advertisements generally create messages in a dramatized format, long duration and serial. With the strategy of wanting to build the involvement of netizens as consumers. Unfortunately, the message created often leads to manipulating the message when highlighting the advantages of the advertised product. Like the Stevia Sweetener ad on YouTube which visualizes the superiority of the product through the personification of the role of women in the domestic sphere. This study analyzes how the myth of women is manipulated by involving consumers to form product awareness. The concept of media strategy and advertising creative strategy is the reference in this research. The analysis was carried out using the semiotic analysis method of Roland Barthes, where through denotative and connotative analysis, the meaning of the myth was carried out. The results of the Stevia Tropicana Slim product advertisement show that there is an affirmation of the values of the role of women who are shackled in a culture that places women's roles in the domestic sphere. Personification here presents two sides of meaning: (1) women are shown to be dominant in their role as wives who regulate husbands to live healthy lives; (2) On the other hand, mythically, advertising actually strengthens women's shackles in domestic affairs. The analysis also finds the myth that advertising represents cultural values of patriarchal ideology. The representation found that what appeared in the SORE Web Series advertisement on YouTube represented gender ideology to support product marketing.
Keywords:	Semiotics, Myth Woman, Advertising, Personification
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	DYNAMIC MAP PATHFINDING USING HIERARCHICAL PATHFINDING THETA STAR ALGORITHM
Author:	IRFAN DARWIN, SURYADIPUTRA LIAWATIMENA
Abstract:	Theta Star is an efficient algorithm that can be used to find an optimal path in a map with better performance compared to the A-Star algorithm. Combining the Theta Star with Hierarchical Pathfinding further enhances its performance by abstracting a large map into several clusters. What this combination lacks are the capability to handle a dynamic element in the map. Without that capability, the agent could potentially collide with elements in the map that is undesirable in certain conditions, while adding that capability might reduce the pathfinding algorithm's performance. The proposed algorithm aims to provide the capability to handle dynamic elements without severe negative impact on the performance of the algorithm. The effectiveness of the proposed algorithm is verified in terms of execution time, number of nodes explored, final path length, and the number of collisions that occurred.
Keywords:	Artificial Intelligence, Dynamic Map, Grid-Based, Hierarchical Pathfinding, Theta Star
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	ASSOCIATION ANALYSIS ON JOB VACANCY CRITERIA
Author:	ALBERT HENDERSON, IMAN HERWIDIANA KARTOWISASTRO
Abstract:	IT Based job openings have a various criterion of needed skills. University graduates are required to fulfill the industry needed. The purpose of this work is to help improve university’s graduate awareness about criteria mostly need by industries. By using association analysis and utilizing existing job openings data are expected to find any association in the several vacancy group with the expected skills by the industry. The technique will be used is association analysis. The process is carried out in four major steps, consist of Data Collection, Pre-Processing Data, Text Processing, and Association Analysis. Produced rules grouped into four, based on support and lift value. Result of this work shows that only criteria from IT/MIS-Quality Assurance (2016), IT/MIS-Administrator (2017), Engineering-Computer, IT/MIS-Multimedia Designer, IT/MIS-Product Management, IT/MIS-Technical Support (2018), and IT/MIS-Technical / Functional Consultancy (2019) that qualified as mostly appear criteria also often appear together. With the discovered knowledge of this work, related students and university faculties can obtain information in a better way from existing job openings and can fulfill the industry terms and needs based on the needed criteria.
Keywords:	Association Analysis, Association Rule, Data Mining, Job Vacancy
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	DESKTOP APPLICATION DEVELOPMENT FOR IMPLEMENTING MERGE SORT ALGORITHM ON DISTRIBUTED SYSTEM TO SORTING NUMBERS
Author:	HANDRIZAL, SRI MELVANI HARDI, WINTO JUNIOR KHOSASIH
Abstract:	A long way back to 2008, the google infrastructure team reported that the google data center handles around 20 Petabytes per day with an average of 100.000 MapReduce jobs spread across its massive computing cluster with standard machine cluster node setup costs approximately $2400 each. According to how google handles things we can conclude even high-performance computers could have difficulties in processing large data, and even not all agencies could afford this kind of setup. Sorting is any process of arranging an item according to a rule with two common, yet ascending (ordering from smallest to largest item) or descending (ordering from largest to smallest item). Sorting is very important for indexing an item to ease searching the item by the system, human, or algorithm. There are many sorting algorithms with time complexity O(N log N) for sorting n items one of them is merge sort. Based on google’s case, computing performance could be increased by dividing tasks to another node in the cluster computing environment, with this similar approach we could increase the performance of the merge sort algorithm. Merge sort algorithm based on divide and conquer technique that eases converting sequential process to parallel process with dividing it to another computer processor in divide phase. Using this similar dividing approach the system will divide the process into several hosts separated physically in cluster computing by utilizing java RMI as middleware. A research test was conducted using 4 computers hosted for distributed merge sort computing as well as a comparative computer for parallel merge sort computing. The system was tested on two and four-processor usage of parallel merge sort and four hosts to three hosts configuration with two processors and four processors for distributed merge sort, respectively. Performance is measured by comparing computation time of distributed merge sort and parallel merge sort.
Keywords:	Distributed MergeSort, High-Performance Computing MergeSort, Distributed System, MergeSort Algorithm, Parallel MergeSort, Java RMI, number sorting, Distributed MergeSort VS Parallel MergeSort, Cluster computing, Computer Network
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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Title:	USERS PERCEPTIONS AND ONLINE EDUCATION ACCEPTANCE IN THE NEW NORMAL AT IMAM MOHAMMAD IBN SAUD ISLAMIC UNIVERSITY (IMSIU), SAUDI ARABIA
Author:	BILAL AHMAD ALI AL-KHATEEB
Abstract:	Research on Information Technology has demonstrated that IT is an indispensable tool for achieving better and effective education among others, as it provides both educators and learners with easy-to-access information, accelerated learning, and makes people to gain 21st-century technical skills necessary for future occupations etc. however, research on IT is still ongoing, giving room for more contributions. One aspect of IT cutting the attention of researchers in the recent times is online education. It is in-thing in this present era particularly with the current situation of Covid-19 pandemic which brought about some changes in the way education is being conducted in terms of teaching and learning among teachers and students. Although, online education is gaining more popularity day by day, however, its acceptance among different categories of users is a major issue of concerned which has resulted to several divergent views and findings. Unfortunately, majority of the effort is concentrated on one user particularly between the teachers and the students. It is critical to know that both academic staff and students are indispensable when you talk about online education and therefore should be included in any research of this nature for better insight. This deficiency provided the present study the opportunity to investigate the user’s perceptions and online education acceptance. Thus, the study investigates user’s perceptions and online education acceptance in the new normal at Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia. It adopted a survey research design while the population covered all the lecturers and teachers in Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia. Of all the copies of questionnaires sent out to the respondents, only 218 returned filled. The returned questionnaires were analysed using STATA version 13 statistical tool. The finding revealed that User’s perception is generally a significant predictor of Online Education Acceptance with F(1,214)=94.40, p>0.001; Prob. > F =0.0000. Additionally, it revealed that user’s perception also affect Perceived Usefulness (PU), Perceived Ease-of-Use (PEOU) and Attitudes towards Usage (ATU). The conclusion based on the finding is that user’s perception significantly affects how users accept or reject online education among the respondents. The study offered several implications.
Keywords:	Users, Perception, Online, Education, Teaching, Learning, Acceptance
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2021 -- Vol. 99. No. 20 -- 2021
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