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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
May 2020 | Vol. 98 No.10

Title:	EMOTION RECOGNITION FROM ISOLATED BENGALI SPEECH
Author:	JYOTIRMAY DEVNATH, MD. SABBIR HOSSAIN, MOSHIUR RAHMAN, HASI SAHA, AHSAN HABIB, MD. NAHID SULTAN
Abstract:	In past few eras, emotion recognition from speech is one of the hottest research topic in the field of Human Computer Interaction. Many researches are going on various types of language, but for Bengali language, it is still very novice. In this work, 4 emotional state have been recognized i.e. happy, sad, angry and neutral from Bengali Speech Dataset. Proposed approach uses Pitch and Mel-frequency Cepstral Coefficient (MFCC) feature vectors to train k-Nearest Neighbor classifier for this work. A self-built Bengali emotional speech dataset has been used for both training and testing purpose. The dataset consists of consist of 50 people with 400 isolated emotional sentences. Using this dataset and above technique, we achieved 87.50% average accuracy rate, with detection accuracy each emotion (happy, sad, angry, neutral) respectively 80.00%, 75.00%, 85.00% and 75.00% in this work.
Keywords:	Speech Corpus, Noise Removing, Pitch, Mel-frequency Cepstral Coefficient (MFCC), K-Nearest Neighbor (KNN) classifier
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	SINGLE IMAGE DEHAZING METHOD BASED ON CURRENT STRATEGIES
Author:	FALAH HASAN MOHAMMED IBRAHIM, MOHD SHAFRY MOHD RAHIM
Abstract:	Recently the most role and wide application fields have seen in computer vision and graphics, Computer vision applications are largely impaired when weather is unfavorable, which typically causes reduced visibility in capturing clear images. In image processing context, haze is a surrounding condition that affects scene objects clarity attributed to the influence of moisture in the atmosphere. Haze worsens clarity of scene objects, which consequently impact computer vision and graphic applications negatively. Here the role of the dehazing method still it is very important in computer vision applications, it can make images more clear by taking off haze from them, thus the scene vision will increment. From earlier up to now, many methods have been proposed for improving images. The single image dehazing method is one of them and recently the researchers are more interested in this method. The primary contributions of this review study focus on explaining the cause of haze formation for images, general historical overview of single image dehazing methods, explain the most equation used in the dehazing process those help to contribute the new methods to remove haze and clarify the hazy image, and clarify the pros and cons of haze removal methods.
Keywords:	Hazy Image, Dehazing Methods, Haze Removal Techniques, Single Image Dehazing, Multiple Image Dehazing, Outdoor Image, Image Restoration, Image Enhancement, Image Fusion Based, Dark Channel, Deep Learning-Based.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	THE MACHINE LEARNING IN PROJECT MANAGEMENT: A SYSTEMATIC MAPPING STUDY
Author:	HAMID CHENNOUK, BRAHIM EL BHIRI, SAMIR BARA, EL HOUSSAINE ZIYATI
Abstract:	Machine learning (ML) is a trending research topic that affects a wide variety of disciplines including project management (PM). To provide clear insight of the use of machine learning in project management, identify gaps in current works and help researchers choose best options for their works, we conducted a Systematic Mapping Study review (SMS) following the guidelines presented by Petersen et al. [1]. We investigated studies reported from 2010 to 2019. 137 articles have been analyzed resulting in 33 primary studies. We found that ML is more involved in management of software project, especially, in effort estimation. We also found that a large range of ML techniques have been investigated, and Neural Network is by far the most widely used. We believe the results will be useful to understand the state of art of the use of ML in PM, and shed light on research topics that have not yet been explored.
Keywords:	Machine learning (ML), Project Management (PM), Systematic Mapping Study (SMS)
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	A REVIEW OF DESKTOP GRID COMPUTING MIDDLEWARES ON NON-DEDICATED RESOURCES
Author:	MAHATHIR RAHMANY, ELANKOVAN A. SUNDARARAJAN, ABDULLAH MOHD ZIN
Abstract:	Grid Computing is a distributed computing technology that can provide users with powerful computing and storage capacity. Most of the applications of grid computing are now replaced by the use of cloud computing. However, there is an area where the grid computing technology can still be utilized, that is in the area of desktop grid computing (DGC). With the growth of desktop computer belonging to an organization and the increasing of internet penetration worldwide, desktop grid computing can be a good alternative to provide the cheapest high-power computing to solve computing intensive applications by utilizing non-dedicated resources. DGC can also be utilized if an application involved some sensitive and secured data. Another area where DGC can be useful is to support the concept of volunteer computing which is expected be more popular in the future since devices that can be volunteered are not only limited to desktop computers but also other computing devices such as smart phones. The main objective of this paper is to review some available middlewares for DGC. This paper also discusses the future direction of DGC.
Keywords:	Desktop Grid Computing; Cloud Computing, Middleware, Volunteer Computing.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	ATMOSPHERIC TURBULENCE ALGORITHM MODEL FOR FLIGHT PROBLEMS INFORMATION SYSTEMS
Author:	R GERNOWO , A P WIDODO , C E WIDODO1, K ADI
Abstract:	Natural disasters now occur frequently in Indonesia, especially those relating to atmospheric anomalies. The development of models for forecasting based convective cloud growth events is necessary to understand the symptoms of atmospheric anomalies. Comparisons of the analyses of the turbulence that affected the Etihad Airways EY-474 on May 7, 2016, and Batik Air ID6890 on October 24, 2017, are specific to disturbance occurring during sunny weather. The identity turbulence events experienced by Batik Air aircraft, flight number ID 6890 type B737-800 NG, and determine the best parameters for identifying turbulence in these events. To solve turbulence problems, a method for analyzing convective clouds using the global forecasting model. To determine the turbulence potential, a turbulence index is required, like that for the Richardson index (Ri). The Ri index takes into account the vertical wind shear and the stability of the air, which makes it ideal for describing clear air turbulence (CAT). In this study, negative Ri results tend to indicate mild confusion due to atmospheric conditions, whereas Ri < 0.25 has a high chance of turbulence. In this study, the results of the turbulent motion indicated by CAT and not stated.
Keywords:	Richardson Number, Flight Turbulence, Atmospheric Anomaly, WRF Model, Clear Air Turbulence
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	ADAPTIVE IMAGE ENHANCEMENT APPROACH BASED ON DOUBLE-PLATEAUS HISTOGRAM
Author:	HANI M. IBRAHEM, MAHMOUD ELMEZAIN, SAHAR SHOMAN
Abstract:	An adaptive contrast enhancement approach is formalized in this work. The approach is relied on double-Plateaus histogram enhancement. It is composed of three stages. In first stage, the image histogram is clipping relied on self-adaptive double-plateaus procedure. The second stage uses the contrast factor parameter in automatic classification approach to split the clipped image into overexposed and underexposed sub image. The contrast enhancement approach based on statistical operations and neighborhood processing is applied on each sub image. The contrast is enhanced without losing the original histogram characteristics. In addition, this approach doesnÃ¢â‚¬â„¢t require a threshold parameter in its operation. The results show that this approach is successful in increasing image enhancement, with other state-of-the-art approaches being outperformed in term of visual performance and quantitative tests.
Keywords:	Image contrast, Image enhancement, Double-plateau histogram, Image histogram
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	NAIVE BAYES CLASSIFIER FOR PREDICTING THE FACTORS THAT INFLUENCE DEATH DUE TO COVID-19 in CHINA
Author:	IVAN DIRYANA SUDIRMAN, DIMAS YUDISTIRA NUGRAHA
Abstract:	SARS CoV 2 or Coronavirus has spread rapidly throughout the world. Much remains unknown about this new virus. The rapid spread makes many countries must be vigilant in facing this new virus. This study uses the patient dataset in the early stage of the spread of SARS CoV 2 in China. Data is processed using data mining techniques with the Naive Bayes method. In addition the simulation process is carried out to find the optimal value of the findings.
Keywords:	Data Mining, Naive Bayes, Classification, Simulation, Covid-19
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	ANALYSIS OF APPLICATION OF ONLINE WORK EXCHANGE USING TECHNOLOGY ACCEPTANCE MODEL AND INNOVATION DIFFUSION THEORY
Author:	MOCHAMMAD HALDI WIDIANTO
Abstract:	The progress of the information system is growing rapidly, it has an impact on various aspects, one of which is the aspect of hiring in various institutions. One of the challenges for tertiary education managers, especially human resource management, is to be able to produce graduates who are competent in their respective fields. This research was conducted in Bandung. In this case, the paper will study in one of greatest education in Bandung that was necessary to manage an information system service for the human resources administration unit, has a place to channel labor, namely BTK (Labor Market in Indonesia) or called which has been managed online. This BTK has a vital role in the distribution of employment for graduates and job creation. The use of the TAM (Technology Acceptance Model) and IDT (Innovation Diffusion Theory) models is based on the fact that so far, TAM is a concept that is considered the best and suitable in explaining user behavior towards information technology systems. This research tries to combine these methods with variables on TAM, such as Perceived Usefulness, Perceived Ease of Use, Attitude Towards, Behavioral Intention. And also, variables from IDT such as Relative Advantage, Compatibility, Complexity, Trialability, Observability. The equation model used in this study is the SEM (Structural Equation Model) using the SPSS AMOS 22 application. The SEM model is used because, in this study, there are several variables or multiple variates.The results of this study show that BTK can be well received among students and graduate education program in Bandung. Listed with the results of hypothesis testing, which findings are quite significant. And with the results of this research, it tends to be reasoned that the labor market in the education program can help students and alumni or graduates in finding suitable jobs.
Keywords:	Online Education, Vocational Training Of Educators, Resistance To Distance Learning, Higher Educational Institutions.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	MULTI-SCALE FEATURE FUSION AND MULTI-LAYER PROPOSAL NETWORK FOR TWO-STAGE OBJECT DETECTION IN AUTONOMOUS DRIVING SYSTEMS
Author:	HOANH NGUYEN
Abstract:	In recent years, many deep learning-based approaches for object detection in autonomous driving systems have been proposed and achieved great achievements. These approaches can be divided into two groups: one-stage methods and two-stage methods. Compared with one-stage methods, two-stage methods achieve better detection performance. However, the performance of two-stage methods is still limited with objects at different scales and heavy occluded objects because there is little discriminative feature to exploit in the last convolution layer of the base network in two-stage architecture. To solve this problem, this paper proposes an improved two-stage framework based on Faster R-CNN architecture for object detection in autonomous driving systems. In the proposed framework, the base network based on VGG16 architecture is first adopted to generate the base convolution layers. To increase the performance of detecting objects at different scales, multi-feature concatenation modules are used at different convolution blocks of the base network. The proposed multi-feature concatenation modules combine all sub-layers of each convolution block to generate enhanced feature maps, which contain more discriminative features. All enhanced feature maps generated by multi-feature concatenation modules are then fed to an improved multi-layer region proposal network module. Each improved RPN contains a 1Ãƒâ€”1 convolution layer for compressing the input channel and a 3Ãƒâ€”3 dilated convolution layer for increasing the receptive field. To solve the issue of heavy duplicate proposals in traffic scene images, soft-NMS algorithm is adopted to keep final proposals. Finally, all good proposals are fed to a detection sub-network which includes a RoI pooling layer and fully connected layers for classifying objects and regressing the coordinates of each detected object. Experimental results on Pascal VOC dataset and KITTI dataset show that the proposed method outperforms Faster R-CNN in detection accuracy.
Keywords:	Object Detection, Convolutional Neural Network, Autonomous Driving Systems, Deep Learning, Region Proposal Network
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	LINK GRAMMAR AND FORMAL ANALYSIS OF PARAPHRASED SENTENCES IN A NATURAL LANGUAGE
Author:	AISLU B. KASEKEYEVA, TATIANA V. BATURA, LYUBOV V. EFIMOVA, FEODOR A. MURZIN, JAMALBEK A. TUSSUPOV, AIGERIM S. YERIMBETOVA, KUNTUGAN ZH. DOSHTAYEV
Abstract:	The aim of the work is to create a knowledge base containing information on paraphrased sentences, including containing temporal and spatial concepts found in natural language texts. The content of the base: the most important concepts from the explanatory dictionary S.I. Ozhegov; rephrased sentences; the results of the analysis of vocabulary articles (interpretations) and examples from a literature by means of Link Grammar Parser and DIALING software systems, etc. Results of the work can be used in intelligent information retrieval systems. The diagrams obtained at the output of Link Grammar Parser and DIALING systems are extremely interesting material for further research. It is advisable to investigate the possibility of using a number of constructions and concepts of mathematical logic in computer linguistics, such as: the construction of L. Henkin, realizability and omitting of types, model completeness, forcing, as well as a number of non-classical logics. Researchers are executed at financial support of the Ministry of Education and Science of Republic Kazakhstan (the grant 2018-2020 MES RK No. AP05133550, the grant 2018-2020 MES RK No. AP 05133546), the Integration project of the Siberian Branch of the Russian Academy of Science (AAAA-A18-118022190008-8) and the study was partially supported by Russian Foundation for Basic Research (the project N 19-07-01134).
Keywords:	Computational Linguistics, Semantics, Temporal And Spatial Concepts, Link Grammar Parser, DIALING.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	IS QUALITY MODEL ON ACADEMIC INFORMATION SYSTEM SOFTWARE: A PROPOSED MODEL
Author:	INO SULISTIANI, SYAFRUDDIN SYARIF, YUSRAN, DEWIANI
Abstract:	Academic information system software currently available does not fully apply the quality model as its system instrument. Quality instruments are needed as a determinant of the quality of academic information system software. IS Quality Model is a conceptual quality instrument model that implements and focuses the standardization of usability and security behavior on a website-based academic information system. IS Quality Model consists of Usability-Focused IS Quality Instruments, and Security-Focused IS quality instrument. Quality Structure and Quality Factors, IS Quality Model and Quality Model Questionnaire Method are the most appropriate methods to describe a proposed IS Quality Model. Usability-Focused IS Quality Instrument are quality instrument IS that that determine usability behavior in academic information system software, namely understandability, learnability, operability, attractiveness, and usability compliance. Six of security-focused IS quality instruments that must be possessed by an academic information system namely privacy, confidentiality, integrity, authentication, availability, and access control. IS Quality Model will provide quality assurance for a software that has a comprehensive quality factor that is easy to learn and use, providing satisfaction in interacting, a high level of reliability, safety, and the availability of information
Keywords:	IS Quality Model, Academic Information System Software, Usability-Focused IS Quality Instrument, Security-Focused IS Quality Instrument
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	FACTORS AFFECTING THE INTENTION TO ADOPT SOFTWARE-AS-A-SERVICE IN PUBLIC ORGANIZATION FROM EXPERTÃ¢â‚¬â„¢S PERSPECTIVE
Author:	HIBA JASIM HADI , MOHD ADAN OMAR , WAN ROZAINI SHEIK OSMAN , MUKTAR HUSSAINI
Abstract:	The advancements in Cloud Computing (CC) and the creation of more bandwidth have enabled the development of a distributed and collaborative model called Software as a Service (SaaS). The CC-SaaS provides many benefits to the countries, organization, both government and private in terms of cost-saving, and quality improvement. However, the adoption of CC-SaaS is still very challenging to organizations, more especially in such instances where no specific attributes to guide user decisions on the movement into CC-SaaS. Moreover, none of the studies have provided a holistic analysis for the determinants that affect CC-SaaS adoption from user and organizational perspectives, which is certified by any expert. This paper investigates the factors affecting CC-SaaS intention to adopt in public organization, which in turn can assist organizations to gain important benefits from CC-SaaS technology. The influential factors are reviewed, selected and confirm by experts from the field of cloud computing, the results of their assessments are presented.
Keywords:	Cloud Computing, Factor Selection, Factors Confirmation, Software As A Service, Adoption.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	IT- BASED KNOWLEDGE MANAGEMENT PROCESSES, E- SERVICES INNOVATION AND E- LOYALTY
Author:	ADEL ODEH AL-HASHEM
Abstract:	Business adopts heavily investments in information technology to maintain their customerÃ¢â‚¬â„¢s loyalty in the electronic business environment. This study contributes to investigate the impact of IT- based knowledge processes as independent constructs (knowledge discovery, knowledge capture, knowledge sharing, and knowledge application) on electronic service innovation and electronic loyalty in the telecommunications sector in Jordan. It also examines the mediating role of electronic service innovation between independent constructs and the dependent one. Data were obtained from a purposive sample of (175) respondents using a questionnaire developed for this purpose. It was found that there is a significantly direct positive impact of knowledge management processes (IT-KD, IT-KC, IT- KS, and IT- KA) on service innovation, IT- knowledge sharing (IT-KS) has a significantly direct positive impact on electronic loyalty and positively indirect impact on e- loyalty through e- service innovation as a mediator factor, in addition, there is significantly positive impact of e-service innovation on e-loyalty. In contrast, there is not significantly positive impact of (IT-KD, IT-KC, and IT- KA) on e-loyalty through the e-service innovation as a mediator. Therefore, the researched companies should be careful about how to increase e - loyalty by providing better services comparing with competitors in the same industry.
Keywords:	IT- based Knowledge Management Processes, E- Services Innovation, E- Loyalty
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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Title:	IMPLEMENTATION OF JUST CULTURE IN SAFETY POLICY AND SAFETY REPORTING DOCUMENTATION AT AIR NAVIGATION SERVICE PROVIDER
Author:	DWI LESTARY, NOVYANTO WIDADI, MUHAMMAD KRISTIAWAN
Abstract:	In recent years, the concept of Ã¢â‚¬Å“Just CultureÃ¢â‚¬Â has become better understood and accepted by people employed in the aviation industry. Elimination of barriers identified by the forming of a "Just Culture" in air navigation services does not necessarily needed additional regulations at the international / regional level but, first, must concentrate on appropriate implementation actions at the domestic level. This research aims (1) To review the safety policies and objectives, (2) To implement Just Culture to the safety policy and reporting documentation. This research starts with observation using gap analysis and survey using 40 questions covering key aspects of Ã¢â‚¬Å“Just CultureÃ¢â‚¬Â and safety management systems. The results show, lack of clarity about what should be reported, how to report and what guarantees after reporting, the questionnaire result shows that Just Culture should be understood and performed by every employee. Focus Group Discussion (FGD) and interview to the top management team was held to get the best solution to overcome the existing problems related to Ã¢â‚¬Å“Just CultureÃ¢â‚¬Â and safety reporting system. Revision to safety policy and document of safety reporting system PER036 ANSP in Indonesia is a must and 92.1 % of respondent of feedback survey agreed.
Keywords:	Air Navigation Service Provider, Just Culture Policy, Safety Reporting System, Safety Management System
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2020 -- Vol. 98. No. 10 -- 2020
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