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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
August 2018 | Vol. 96 No.15

Title:	FEATURE ANALYSIS OF PUBLIC COMPLAINT HANDLING APPLICATION USING FODA
Author:	AKHMAD SAEFUL BAKHRI, AHMAD NURUL FAJAR
Abstract:	This study is to know the result of the comparison of functions in the main business process of Public Complaint Handling (PLM) based on Judicial Commission of Indonesia decree No. 4 2013 and Judicial Commission decree No. 2 2015 and to know Public Complaint Handling features using Feature-Oriented Domain Analysis (FODA). The data that used and processed from Public Complaint Handling business process observation, interpretation, documents, reports, and interview with users and experts. The data is processed by compared both functions in the main business process of Public Complaint Handling and perform feature analysis using FODA. The results of this study that the Judicial Commission simplify and refine the functions in the main business process of Public Complaint Handling based on Judicial Commission decree no. 2 2015. From the features analysis results there are 125 features with 86 mandatory features, 7 optional features, 17 features OR and 15 alternative features. This study as one of highly recommendation for Judicial Commission that FODA's approach will be more effective and efficiency in enhancing and developing applications from reusable features to be developed and new features to be built when there are regulatory changes and business process changes for the application of Public Complaint Handling.
Keywords:	Business Process, Feature Analysis, FODA
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	COMPOSITE MEDIAN WIENER FILTER BASED TECHNIQUE FOR IMAGE ENHANCEMENT
Author:	KAYODE AKINLEKAN AKINTOYE,NOR ANITA FAIROS BINTI ISMIAL, NUR ZURAIFAH SYAZRAH BINTI OTHMAN, MOHD SHAFRY MOHD RAHIM, ABDUL HANAN ABDULLAH
Abstract:	Image processing begins with image enhancement to improve the quality of the information existing in images for further processing. Noise is any unwanted object that affects the quality of original images. This always happened during the acquisition of images, which cause gaussian noise via photoelectric sensor. Also, impulse noise as well is introduced during transferring of some images from one place to another because of unstable network. Hence, these noises combine to form mixed noise in some images, which change the form and loss of information in the images. Filtering techniques are usually used in smoothing and sharpness of images, extraction the useful information and prepare an image for analysis processing. In this research, a novel technique of hybrid filter for enhancing images degraded by mixed noise has been exhibited. The proposed model of the novel filter uses the concept of two element composite filter. This technique improved the fusion of Median filter and Wiener filter to eliminate mixed form of noise from digital image created during image acquisition process. Composite Median Wiener(CMW) is not two filters in series, yet it can remove the blurredness, keep the image edges, and eliminate the mixed noise from the image. The result of CMW filter application on noisy image shows that it is an effective filter in enhancing the quality image.
Keywords:	Median Filter, Weiner Filter, Image Enhancement, CMW Filter, Peak Signal-to-Noise Ratio (PSNR)
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	ON THE IMPACT OF REAL TIME PARAMETERS INTO THE DESIGN OF CLOUD LOAD BALANCERS
Author:	ALI HUSSEIN ALI ALNOOH, DHUHA BASHEER ABDULLAH
Abstract:	The term "Cloud" has turned out to be universal in our life since it manages a large portion of our activities. Truth be told, cloud benefits are achieved in the vast majority of our social, scholastic, and business tasks. The technological era we are currently living in, is almost based on Internet services. A novel load balancer called Community-Based Cloud Load Balancing Approach (CBCLBA) for distributing tasks to their appropriate server is proposed. The main goal of this paper is to adopt a community based algorithm that takes into considerations tasks time constraints. Our proposed algorithm is implemented on a dataset that is brought from Google. The proposed algorithm shows that when considering two real time parameters, namely; Scheduling Class and Priority, the number of missed deadline tasks decreases comparing to the case when ignoring the two mentioned parameters. Finally, we believe that this is the first kind of work that utilizes concepts from sociology in designing cloud load balancing approaches.
Keywords:	Cloud Load Balancing, Cloud Computing Approaches, Google Clusters-usage traces, Real time
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	THE BALIANS: PROMOTING BALINESE TRADITIONAL ART EXHIBITION USING GEOGRAPHIC INFORMATION SYSTEM
Author:	I KETUT ADI PURNAWAN, I NYOMAN PIARSA, I PUTU AGA DARMA WINANDA
Abstract:	Bali is a tourism destination which be famous by its nature, culture, art and artist. Many Balinese artists gathered together in an art studio and held some traditional art attraction or exhibition. However, they are lack of promotion. Advances of technology could help Balinese artist for promoting Balinese traditional attraction or exhibition. This research focused on the development of a geographical information system named “The Balians” (The Balinese-Art Entertainment Reservation). “The Balians” was an information system which provided a way for promoting Balinese traditional art exhibition and facilitating the tourist or local people who want to watch the exhibition. This geographical information system worked as a website service, which was developed using PHP as the programming language, MySQL database, and cloud computing SaaS. “The Balians” website was able to handle three entities, they were art studio as a place for the artist gathered together and also accommodating an exhibition, administrator who has authority for data verification, and the user -the tourist or local people- who wants to watch the held exhibition. There were three main features of “The Balians”, those were exhibition booking, event ticket reservation, and online payment for the booked exhibition or tickets. The success rates of “The Balians” as a reservation system and promotion media were measured by the Likert scale. The result of questionnaires which were used for measurement pointed out that 10 measurement variables were in Agree (A) and Strongly Agree (SA) categories. Those result meant that “The Balians” had run appropriately.
Keywords:	Geographic Information System, Tourism, Bali, Balinese Exhibition, The Balians
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	VIDEO COMPRESSION VIA MINIMUM FRAME DIFFERENCE LOCALIZATION ADAPTED FOR MOBILE COMMUNICATIONS
Author:	KHATTAB M. ALI ALHEETI
Abstract:	Huge amount of multimedia data are circulated via communications media (wired and wireless), Internet, and many other media, so these data need to be compressed to achieve storage space and speed. Many method are used for image and video compression such as discrete cosine transform, discrete wavelet transform and discrete curvelet transform. Some of these methods are efficient and have wide range of applications. The aim of this paper is to implement an efficient approach of video compression based on frame difference localization. The implemented approach based on the mixing of two methods; firstly, calculate the difference between the two near frames to avoid the similarity and secondly, applying discrete wavelet transform to reduce the amount of similar pixels as possible. The implemented approach is tested for many types of image, in which a good performance results are obtained. This approach is adapted for mobile communications in order to save speed and space.
Keywords:	Image Compression, Video Compression, Frame Compression, Frame Extraction 2D-DWT.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	IMPROVE QUALITY OF E-LOYALTY IN ONLINE FOOD DELIVERY SERVICES : A CASE OF INDONESIA
Author:	ROMI ILHAM
Abstract:	This study aims to improve e-loyalty by analyzing the effect of e-service quality on customer e-loyalty through e-satisfaction in online food service delivery. This research uses quantitative approach with survey method. The population in this study were customers who had used online food service with a sample of 320 respondents. Data analysis using SEM-PLS (Partial Least Square) with Smart-PLS software. The results showed that e-service quality positively affects e-loyalty and e-satisfaction, e-satisfaction has positive affect on customer e-loyalty and e-service quality positively affect e-loyalty of customer through e-satisfaction. It can be concluded that e-satisfaction mediates the influence of e-service quality on e-loyalty of online food service customers, so e-service quality and e-satisfaction is required to improve e-loyalty.
Keywords:	E-Service Quality, E-Satisfaction, E-Loyalty, E-Commerce.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	IMPLEMENTATION OF A REMOTE MONITORING SYSTEM FOR CONDITION-BASED MAINTENANCE USING WIRELESS SENSOR NETWORK: CASE STUDY
Author:	S. SADIKI, 1M. RAMADANY, M. FACCIO, D.AMEGOUZ, S. BOUTAHARI
Abstract:	Increasing number of interconnected embedded "SMART" devices pervade our environments. Their use in various scenarios including smart-city, building-automation, industrial control, energy grids etc. have dramatically improved the overall performance. Use of IoT (sensors, actuators etc) and wireless sensor networks WSN) can help to sense and act based on real-time monitoring of industrial equipment. Our proposed architecture explores the advantages of embedding smart sensors on industrial equipment and collect data for monitoring and better maintenance. This real-time monitoring will enable predictive analysis for the health status of industrial equipment. To the best of our knowledge, this article is the first investigation of employing intelligent network sensors in case of remote maintenance applications that couple information technology solutions with condition-based maintenance. Tests are carried to prove the validity of our proposed system by using Contiki based Cooja emulator. Although the technique developed in this work is tuned toward this application, it could be used in other applications as well which deals with condition-based maintenance.
Keywords:	Condition Based Maintenance, Wireless Sensor Network, Decision Support Systems, Asset Management, Contiki-Cooja.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	SOFTWARE TOOLS FOR CELL WALLS SEGMENTATION IN MICROPHOTOGRAPHY
Author:	GULZIRA BAKHITBEKOVNA ABDIKERIMOVA, FEODOR ALEXANDROVICH MURZIN, ALEKSEY LEONIDOVICH BYCHKOV, JAMALBEK TUSSUPOV, SERGEY KHAYRULIN, WEI XINYU, ELENA IVANOVNA RYBCHIKOVA
Abstract:	This article provides an analysis of how textural areas are segmented on the microphotography in the image processing systems. A comparative description of the main methods is provided. The purpose of our research is to develop and find algorithms for analyzing the textural characteristic of images and the segmentation of textural features obtained using the transmission electron microscopy using software, established under Treaty No. 16-13-10200/2. Work has been done for the Institute of solid state chemistry and mechanochemistry of the Siberian branch of the Russian Academy of Sciences. The focus is on the development of software tools of choice and the creation of features that describe texture differences; of selection and segmentation of the textural areas; of classifying textural areas and identifying the texture object to analyze the above-named microphotographs. The question of the applicability of textural sets to analyse experimental data in order to identify in the microphotography the patterns that could be linked in the future to porousness, chemical reactiveness, etc. Suitable algorithms have been selected and appropriate software tools have been established at Matlab and in the software package for statistical analysis of Statistica.
Keywords:	Textural Features, K-Means Method, Agglomerative Method, Image Processing, R/S-Analysis, Microphotography Analysis, Electron Microscopy, Herbal Raw Material.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	DESIGN RESTFUL WEB SERVICE OF NATIONAL POPULATION DATABASE FOR SUPPORTING E-HEALTH INTEROPERABILITY SERVICE
Author:	M. MIFTAKUL AMIN, ADI SUTRISMAN, DERIS STIAWAN, ERMATITA, ANDINO MASELENO
Abstract:	The Government of the Republic of Indonesia nowdays has implemented a centralized national population database with Electronic Identity Card (e-ID) as the sole reference to the legality and validity of data used for various public services. In line with the population database, the government has also run a National Health Insurance Program which also needs e-ID card data to obtain health services. When patients visit health service providers such as hospitals, health centers, medical centers, and health clinics, personal data is requested for registration by showing ID cards, so the presence of a national demographic database is not yet optimal. The presence of RESTful Web Service technology enables communication between different platform applications, so the demographic database can be accessed using a variety of different client applications, operating systems, programming languages, and databases. This study aims to design the national demographic database using RESTful Web Services, which can be implemented to support e-health services. E-ID data can be used by the health provider for patient registration and patient referral. The demographic database can be used as a reference for valid demographic data. The test that has been done shows that the performance of the system design developed, reliable to be implemented with the accuracy of the acquisition of data records of valid residence in accordance with the design of data structures.
Keywords:	Population Database, E-Id, Interoperability, Restful Web Services, E-Health
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	THE BAG-OF-WORDS VECTORS AND A SOKAL & SNEATH-IV COEFFICIENT USED FOR A K-MEANS ALGORITHM OF ENGLISH SENTIMENT CLASSIFICATION IN A PARALLEL SYSTEM
Author:	DR.VO NGOC PHU, VO THI NGOC TRAN
Abstract:	Many different researches have already been used for sentiment classification for many years because the sentiment lexicons have already had many significant contributions to everyday life, such as in political activities, commodity production, and commercial activities. We have proposed a novel model using many bag-of-words vectors (BOWV) and a SOKAL & SNEATH-IV Coefficient (SSIVC) for a K-Means algorithm (KM) to classify all the documents of the testing data set comprising 13,500,000 documents, the 6,750,000 positive and the 6,750,000 negative , into either 2,500,000 positive sentences or 2,500,000 negative sentences of our training data set including 5,000,000 sentences in English. In this survey, the BOWVs are improved by using many sentiment lexicons of our basis English sentiment dictionary (bESD) by using the SSIVC through a Google search engine with AND operator and OR operator. One sentence in English is transferred into one BOWV. The KM is used in clustering one BOWV into either the positive BOWVs or the negative BOWVs of the training data set. The sentiment classification of one document is based on the results of the sentiment classification of its BOWVs. We have firstly tested the proposed model in a sequential environment, and then, the novel model has been tested in a distributed network system secondly. The results of the sequential system are not as good as that of the parallel environment. The accuracy of the testing data set has been achieved 88.76%. Many different fields can widely use the results of the novel model certainly.
Keywords:	English sentiment classification; parallel system; Cloudera; Hadoop Map and Hadoop Reduce; K-Means algorithm; SOKAL & SNEATH-IV Coefficient
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	IMPROVED WATER FLOW-LIKE ALGORITHM FOR CAPACITATED VEHICLE ROUTING PROBLEM
Author:	MOKHTAR MASSOUD KERWAD, ZULAIHA ALI OTHMAN, SUHAILA ZAINUDIN
Abstract:	The capacitated vehicle routing problem (CVRP) has many applications in different domains seeking ways to minimize the total traveled distance. Although the CVRP has been widely investigated in the literature, it is facing ongoing operational challenges. Moreover, despite various metaheuristics that have been proposed to solve this problem, its optimal solution is still not achieved. Thus far, the water-flow-like algorithm (WFA) has obtained a reasonable solution for this problem, with room for further improvement. The WFA has strategies for diversification (in the precipitation operation). This study aims to enhance the WFA for solving the CVRP by providing a good solution in terms of diversity and quality. The basic WFA is capable of solving the CVRP, however, it has problems in terms of slow convergence and the tendency of being trapped in the local optimum. Therefore, an improved WFA (IWFA) is proposed in this study to overcome this weakness by increasing the diversity of solution search in the precipitation operation using constructive heuristics (i.e., nearest neighbor, random method, and greedy randomized adaptive search procedure). Constructive heuristics aim to construct new solutions instead of duplicating existing ones. Computational results show that the IWFA outperforms the basic WFA with a solution quality improvement of up to 76.92% and is better than other state-of-the-art methods by up to 74.55%. This finding indicates that the IWFA is a promising approach for solving instances of CVRP.
Keywords:	Capacitated Vehicle Routing Problem, Metaheuristics, Constructive Heuristics, Water-Flow-Like Algorithm.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	A CO-TRAINING MODEL USING A FUZZY C-MEANS ALGORITHM, A K-MEANS ALGORITHM AND THE SENTIMENT LEXICONS - BASED MULTI-DIMENSIONAL VECTORS OF AN OTSUKA COEFFICIENT FOR ENGLISH SENTIMENT CLASSIFICATION
Author:	DR.VO NGOC PHU, VO THI NGOC TRAN
Abstract:	A semi-supervised learning of a machine learning used for a new model for big data sentiment classification has already been built in this survey. We have proposed a novel model using mainly a co-training (CT) approach to classify 10,500,000 documents of our testing data set comprising the 5,250,000 positive and the 5,250,000 negative into 4,000 documents of our training data set including the 2,000 positive and the 2,000 negative in English. In this co-training model (CTM), a Fuzzy C-Means algorithm has been used in training a first classifier and a K-Means algorithm has been used in training a second classifier based on many multi-dimensional vectors of sentiment lexicons of An OTSUKA coefficient (OM).After training the first classifier and the second classifier of the CTM of each loop, the 50 documents of the testing data set have certainly been chosen from the first classifier, then, they have been added to the second classifier, and the 50 documents of the testing data set have certainly been chosen from the second classifier, then, they have been added to the first classifier. The sentiment classification of all the documents of the testing data set has been identified after many loops of training the first classifier and the second classifier of the CTM certainly. In this survey, we do not use any vector space modeling (VSM). We do not use any one-dimensional vectors according to both the VSM and the sentiment classification. The OM is used in creating the sentiment classification of our basis English sentiment dictionary (bESD) through a Google search engine with AND operator and OR operator. The novel model has firstly been performed in a sequential system and then, we have secondly implemented the proposed model in a parallel network environment.The results of the sequential environment are less than that in the distributed system.We have achieved 89.25% accuracy of the testing data set. The results of the proposed model can widely be used in many commercial applications and surveys of the sentiment classification.
Keywords:	English sentiment classification; parallel system; Cloudera; Hadoop Map and Hadoop Reduce; Fuzzy C-Means; K-Means; OTSUKA coefficient; co-training.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	PERFORMANCE EVALUATION OF VARIOUS ON-CHIP TOPOLOGIES
Author:	BANSIDHAR JOSHI, MANISH K THAKUR
Abstract:	With shifting of the present world towards automation, computer intensive applications are gaining popularity in day-to-day life, resulting into demands for highly scalable and reliable Network-on-Chip (NoC) based architectures along with low power consumption. NoCs are an exertion to impoverish the approach of huge networking architectures and implement them with embedded System-on-Chip (SoC) sphere. In reliable NoC based architectures, efficiency of the system primarily depends upon the interconnected structure or topology. The topologies are critically analyzed on the basis of various performance factors like throughput, latency, scalability, cost of traversal etc. The availability of fixed sized buffer queues at intermediate routers in the interconnection network topology holds a tight constraint over managing the incoming data packets from neighboring routers. With the traffic being heterogeneous and application-centric, the overlay architecture must be chosen wisely to deal with possible congestion scenarios. This paper analyzes the relative conduct of topologies and their altered versions and evaluates the prime performance parameters, viz. throughput and latency under various buffers’ queue management schemes. Simulations (NS2) on two different nodes configuration, 16 cores and 64 cores shows Torus and Mesh of Tree as the favorable topologies respectively under diversified traffic.
Keywords:	Network-on-Chip, System-on-Chip, Topology, Interconnection Network, off-chip, on-chip
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	ONTOLOGY-BASED GENERATION OF RANDOM PATHS BETWEEN TWO POINTS
Author:	AHMAD TAYYAR, MOHAMMAD ALI H. ELJININI
Abstract:	In the first part of our research, a novel computer algorithm has been proposed to generate random path between two points in space. Random path consists of finite number of randomly generated adjacent points that satisfy the condition: L(pipn) < L(pi-1pn). Where L(p1pn) is the length of the path between the two adjacent points p1 and pn. The algorithm has been coded and evaluated. Experiments showed that the randomly generated points were converged to the target point. The main importance of this method is the ability to generate paths between two points in real time, which cannot be predicted in advance. Points are generated, one at a time, where each point brings us closer to the target point. This contribution is applicable to many fields such as economics, engineering, robotics, computer science, military, and other fields of applied sciences. In this part of our research work, we tackled the problem from different aspects. An ontology has been developed that describes the domain of discourse. The aim is two folds; firstly, to provide an optimized generation of best points that are closer to the target point. Secondly, to provide sharable, reusable ontological objects that can be deployed to other projects. The ontology is designed to guide the process of generating acceptable points based on some criteria described in the ontology. Adding intelligence to the process has provided us with a better solution, in comparison with our previous results. Ontologies have been engineered and reused in many research projects across the globe with success. Our contributed solution can attract many applications in the various fields of applied sciences. One implication of the utilization of ontologies is that it remains poorly exploited field, which may have an impact on the adoption of ontology-driven technologies outside the academic community. We underpinned our solution by the initiation of several case studies that have been designed using and extending our work, and progressing very well. Initial findings are very encouraging and leading to the applicability of the proposed solution to real life cases.
Keywords:	Ontology, Object-Oriented Paradigm, Random Paths, Mobile Robots, Graph Theory
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	HOME SURVEILLANCE SYSTEM DESIGN AND IMPLEMENTATION TOWARDS IOT ENVIRONMENT
Author:	SAWSEN ABDULHADI MAHMOOD, ZAINAB KAREEM ABDULLAH
Abstract:	A personal home surveillance system is a low cost technology based on internet of things technology (IOT) that makes it possible for users to monitor the events that is happening in their homes remotely. There are multiple challenges in home surveillance systems such as picture is unclear, oddity cannot be specified automatically, motion sensors limitations, in addition to high cost of storage space. The trend of this paper, is to design and achieve moving objects extraction based home surveillance system with low cost, functional, and suitable solution within IOT context. The communication process is achieved essentially using Rasberry-Pi microcontroller device which enables a streaming of real time video along with capturing a snapshot images. In addition, a modified approach for moving objects detection in video sequences is presented in this paper based on the results of motion detection approach. The key result of the proposed moving object detection is represented by retaining the moving parts only in the video sequences captured by Pi camera in order to decrease the duration time of video frames, storage space required, in addition to minimize the reviewing time of the recording video. Furthermore, a real time stream video can be viewed from any web browser or mobile platform in term of surveillance system. The moving parts extraction process is achieved using the statistical information of the sequence frames within a modified motion detection algorithm. To analyze and evaluate the proposed motion detection algorithm results, we have attended our own video dataset that compose of three video files with different motion situations. The experimental result of the proposed moving objects detection based home surveillance system outperforms a remote surveillance of home integrity with efficient availability, reliability and high rate detection of moving objects in the captured video sequences .
Keywords:	Surveillance system, cloud server, motion detection, Internet of things, Background Model
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	NEW INFORMATION ECONOMIC (NIE) METHOD FOR INFORMATION TECHNOLOGY INVESTMENT ANALYSIS: BUSINESS STRATEGIC
Author:	EMAN MULYAMAN, ASTARI RETNOWARDHANI, RAZIV HERMAN DIPUTRA, DESITA MUSTIKANINGRUM
Abstract:	Based on the development of technology, especially Information Technology and Information System, and coupled with the needs of application development system in the company, but only with the needs of the application used must be adjusted to the value of investments issued by the company, because not a small fee to spend as the value of the initial investment that must be issued. In this case XYZ Group has been using the application system in the company's work operations, the application is Nawakara Information System (NIS). However, in the use of NIS in the company is still constrained by inaccurate management data. Based on this, the company wants to improve the quality of service and improve the quality of performance between departments by analyzing existing systems, ranging from the value of investments that have been made to infrastructure and applications that have been done, New Information Economic (NIE) as the basis of analytical methodology used as a reference with the hope of getting the right solutions and decisions in the implementation.
Keywords:	New Information Economic, Investment Information System And Technology, Inaccurate, Improve, Right Solutions.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	DETECTING SYBIL ATTACKS USING HETEROGENEOUS TOPOLOGIES IN STATIC WIRELESS SENSOR NETWORK
Author:	SOHAIL ABBAS, MUHAMMAD HAQDAD, SALMA BEGUM, MUHAMMAD ZAHID KHAN
Abstract:	Wireless Sensor Network (WSN) is composed of few to several hundred nodes that coordinate to perform a specific action. Data is propagated in multihop fashion from sources to sink(s). Security is an important issue in WSNs, especially when they are used to protect or monitor critical situations. The WSNs require a unique identity per node in order to function properly. However an attack called Sybil attack violates this one-to-one mapping of identity and node; hence, a Sybil attacker controls multiple identities on a single physical node. The Sybil attacks are serious threats to the correct functioning of WSNs. Thus, effective mechanisms for security of WSNs became vital. Various techniques have been proposed in the literature that use received signal strength in order to thwart and detect Sybil attacks. For coping with signal fluctuation and improved accuracy, the proposed techniques incorporate extra hardware, such as GPS or directional antennae, or communication overhead, such as periodic beacons and/or node collaboration. In this paper, we propose a detection mechanism for Sybil attacks without using the extra hardware or imposing overhead while trying to achieve the same level of detection accuracy. We start off by proposing a pre-planned nodes deployment strategy, as a first line of defence, to prevent these attacks. The resulted topology will be Sybil-free that will also help in improving the detection of these attacks. We also propose a signal strength based detection mechanism for the counteraction of these attacks in static WSNs. Our proposed technique does not require using any sort of extra hardware, like directional antennae or GPS. The simulation based evaluation of the scheme demonstrates good detection accuracy, i.e. high true positives with low or no false positives.
Keywords:	Sybil Attacks, Wireless Sensor Networks, Node Deployment, Ad-Hoc Network Security
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	ADVISE-GIVING EXPERT SYSTEMS BASED ON ISLAMIC JURISPRUDENCE FOR TREATING DRUGS AND SUBSTANCE ABUSE
Author:	RAHMAD KURNIAWAN, AKBARIZAN, KHAIRUNNAS JAMAL, AFRIZAL NUR, MOHD ZAKREE AHMAD NAZRI, DEBY KHOLILAH
Abstract:	Indonesia is the most populous Muslim country, but yet drugs and substance abuse has not abated. Death penalty to punish drug traffickers does not stopping the statistics on drug-related death to rise. Thus, education about drugs abuse is an essential part of the war against drugs abuse. The daily loss of dozens of lives to drug addiction in Indonesia drew the attention of researchers on how artificial intelligence (AI) can be used as an educational tool to curb drug abuse among youngsters. In this paper, an advice-giving expert system is proposed as an online tool to educate users. The expert system explains and advises the users based on the Islamic Jurisprudence point of view. This research investigates the impact of using the Bayesian Network to the effectiveness of the expert system in giving the right advice based on the user's response or answer to the question asked by the system. Bayesian network is chosen to be used as the inference engine because it organised the graph theory and probability theory. The accuracy of the system is obtained by comparing the output which is the advice given by the system to a human expert in the Islamic Jurisprudence. Based on the 15 cases as a test, the developed expert system using Bayesian Network can diagnose the social problems accurately. Users were advised and explained with the right advice. The daily loss of dozens of lives to drug addiction in Indonesia drew the attention of researchers on how artificial intelligence (AI) can be used as an educational tool to curb drug abuse among youngsters.
Keywords:	Bayesian Network, Drugs, Expert System, Social Problem, Islamic Jurisprudence
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	COMPARATIVE ASSESSMENT OF EFFECTIVENESS AMONG CORPORATE INFORMATION SECURITY PROFILES
Author:	GEORGI N. TODOROV, MARINA V. VINOGRADOVA, GENNADII G. SOROKIN, ALEXANDER A. SHATSKY
Abstract:	The article is reviewing available approaches that make it possible to solve the problem of effectiveness among information security systems. Ensuring information security has become an important element in an enterprise sustainable development. At the same time, there is an arising question of a proper assessment for an information security level and its indicators. With an example of enterprises from the same sector, the research shows that effectiveness of an information security profile is mostly the same. This makes it possible to use universal tools when companies design and establish information protection. In the review of literature, there is a discussion of identification issues of information risks and threats and a proposed comprehensive evaluation technique. Elaborating the approach, there is a further definition of maturity levels in IT infrastructure of business processes. Findings make it possible to conclude that management levels in corporate information security in the same sector are the same. Minor differences are in place because of size effects and various investment costs that a company has to establish the information security system. The analysis of results shows heterogeneous effectiveness in information security profiles among companies when their implement investment projects focused on modernization.
Keywords:	Information security, Construction sector, Security profile, Risks, Uncertainty.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	A SURVEY: THE CURRENT TRENDS OF PRIVACY TECHNIQUES FOR PROTECTING THE LOCATION PRIVACY OF USERS IN LBS
Author:	ABDULLAH ALBELAIHY, JONATHAN CAZALAS, VIJEY THAYANANTHAN
Abstract:	With GPS-enabled devices and data connectivity now ubiquitous, Location Based Services (LBSs) have seemingly penetrated all aspects of our lives. While profoundly valuable, these services expose the user to a litany of privacy and security issues. LBS users must reveal their location, and at times other sensitive personal information, in order to effectively use the service and receive accurate results. This paper presents a survey of the current trends of privacy techniques employed in protecting the location privacy of users in LBSs. The paper further highlights the efficacy, or otherwise, of each technique discussed in this paper, with each technique having been evaluated based on accuracy, quality, efficiency, flexibility, location privacy, and query privacy. The outcome of this study is a taxonomy of current privacy and security techniques, which will assist researchers and developers as they look to further protect the sensitive information of their customer base.
Keywords:	Privacy, Bloom filter, LBS, Oblivious transfer, Dummy locations, Zero knowledge.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	THE BINARY BITS AND THE SENTIMENT LEXICONS BASED ON AN YULES SIGMA COEFFICIENT USED FOR SENTIMENT CLASSIFICATION IN ENGLISH
Author:	DR.VO NGOC PHU, VO THI NGOC TRAN
Abstract:	We have already surveyed many different approaches for sentiment classification to get higher accuracies, to shorten execution times, and to save a lot of storage spaces for many years because many significant contributions of the sentiment classification have widely been applied to everyday life, political activities, commodity production, and commercial activities. As known, many binary bits can help us save a lot of storage spaces. Therefore, we have proposed a novel model in this survey using the binary bits and many sentiment lexicons according to an Yule’s Sigma coefficient (YSC) to classify 9,000,000 documents of our teting data set comprising the 4,500,000 positive and the 4,500,000 negative into either the positive polarity or the negative polarity based on 5,000,000 sentences of our training data set including the 2,500,000 positive and the 2,500,000 negative in English. We do not use any vector space modeling (VSM). In addition, we do not use any one-dimensional vectors. We also do not use any multi-dimensional vectors. We only use the binary bits and the sentiment values of the lexicons for the proposed model. We use many similarity measures of the YSC. One sentence is transferred into the binary bits (the binary bits string) according to the sentiment scores of the lexicons. All the positive sentences of training data set are transferred into all the positive binary bits strings of training data set, called the positive group and all the negative sentences of training data set are also transferred into all the negative binary bits strings of training data set, called the negative group. Based on many similarity measures by using the YSC, one sentence is clustered into either the positive group or the negative group. The sentiment classification of one document of the testing data set is identified according to the sentiment classification results of all the sentences of this document. The novel model has firstly been implemented in a sequential environment. Next, we have performed the proposed model in a parallel network environment secondly. The execution time of the distributed network system is faster than that of the sequential environment. There has been an accuracy 89.01% of the testing data set in this survey. The sentiment classification of many millions of the documents can be identified by using this novel model successfully. Many advantage results of our novel model can widely be applied to many different fields in many commercial applications and surveys of the sentiment classification.
Keywords:	English sentiment classification; parallel system; Cloudera; Hadoop Map and Hadoop Reduce; binary bits; sentiment scores of lexicons; Yule’s Sigma coefficient.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	FACTORS INFLUENCING THE CITIZEN TRUST TO ADOPT E-GOVERNMENT SERVICES IN SAUDI ARABIA
Author:	HEND ALOUD, DR. YASSER IBRAHIM
Abstract:	With the rise of secure websites and mobile applications, the phrase “take a number or wait in line” has become redundant in public services. The worldwide evolution of e-government services has simplified lives as more citizens avail of e-solutions. However, citizens’ adoption of e-government services rely on multiple factors, including user awareness and trust. Therefore, to understand the factors that influence trust in e-government services, an empirical study must be conducted. This paper examines the antecedents of trust in e-government services in Saudi citizens’ perceptions and investigates the means through which this trust influences the intention to use e-government services. The study analyzes a sample of 310 completed surveys that focus on trust-related metrics, such as trust in government, trust in technology, information quality, and privacy and security assurance. It also includes two constructs of the TAM model (perceived usefulness and perceived ease-of-use) to predict the intention to use e-government services. The study’s outcomes support the proposed research model, whereby all proposed variables significantly predicted intention to use e-government services. Furthermore, all proposed variables significantly predicted trust in e-government except the privacy and security assurance construct.
Keywords:	E-government, Trust Antecedents Model, TAM, Intention To Use, Saudi Arabia, Empirical Study.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	AUTOMATIC DATA MODELING TRANSFORMATION APPROACH OF NOSQL DOCUMENT AND COLUMN STORES TO RDF
Author:	ABDELJALIL BOUMLIK, NASSIMA SOUSSI, MOHAMED BAHAJ
Abstract:	In this paper, we have proposed a mapping system that makes heterogeneous NoSQL data available in common machine-readable format. In fact, we aim to virtualize the data stored in different NoSQL databases with a specific focus on document and column oriented databases types (considered as the most used ones) using Resource Description Framework (RDF) in order to contribute in the interoperability between applications that exchange data and process it as machine-understandable information, especially in the web application domain and offering more opportunities for novel services and applications that have such needs. In addition, our approach is very useful to carry out some operations that are not currently supported by NoSQL database systems, also to unify their heterogeneous data models. The proposed algorithms are based on a set of procedure and methods that we execute at each stage depend on the input file and as per the mapping rules that we already define. The obtained results via our application were encouraged and reflect exactly what has been expected and specified.
Keywords:	NoSQL-to-RDF, Column-Oriented Database, Document-Oriented Database, Unified NoSQL Database, Interoperability
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	MULTI PARAMETERS DISPATCH MODEL IN TAXI COLLABORATION SYSTEM
Author:	PURBA DARU KUSUMA
Abstract:	Nowadays, conventional taxi business meets strong competition with the online taxi service. One of the problem is that in online taxi service that adopts sharing economy platform, public can join to be a driver easily as far as he owns the vehicle. So, there are large number of vehicles are in the online taxi service. This condition is different to the existing conventional taxi that is operated by private company and the vehicles are owned by the taxi company. Even the taxi company is a big corporate, it still cannot compete with the online taxi service. The answer is developing collaboration between taxi companies so that the service is operated by a single system. Unfortunately, creating collaboration system among taxi companies is not easy. It is because the number of fleets that are owned between companies is various. The other problem is that each company has its own pricing strategy. In this research, we propose the dispatch model for conventional taxi collaboration system. Parameters in this model are travel cost, pickup distance, vehicle’s idle time, and the fleet size. In this research, we propose three models. In the first model, order will be allocated to the vehicle that offers the lowest travel cost and has longest idle time. In the second model, order will be allocated to the vehicle that offers the lowest travel cost but the model does not guarantee that longer idle time vehicle will be preferred. In the third model, the order will be allocated to the vehicle that has the highest aggregate score of travel cost, pickup distance, idle time, and fleet size. Based on the simulation result, the first and the second models has advantage in offering the lowest travel cost while the third model has advantage in keeping pickup ratio at maximum level.
Keywords:	Dispatch system, Taxi, Collaboration, Simulation, Nearest Driver.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	DIGITAL HADITH AUTHENTICATION: A LITERATURE REVIEW AND ANALYSIS
Author:	EMHA TAUFIQ LUTHFI, NANNA SURYANA, ABDULSAMAD HASAN BASARI
Abstract:	Hadith is the second source of reference for Muslim all over the world after the Holy Al-Quran. Plenty of Muslims used the internet as primary knowledge sources including when searching for religious texts such as Hadith. Due to the vast amount of data being transferred on the Internet, there is exists many fabricated Hadiths, and these produce many problems in distinguishing between authentic or fabricated Hadiths for Muslim and non-Muslim who are interested in Hadiths. Therefore, Hadiths accessed from the internet needs to be researched to get its authenticity and originality. Hadith has three parts that are Sanad, Matn, and Taraf. Referred to Hadith science, an authentic Hadith can be seen from the status of its Sanad and Matn. Based on the literature review of previous research on Hadith authentication, it exists 14% of the studies were using the authentication concept of Sanad and Matn, almost 33% of studies were using only the authentication concept of Sanad, and 6% of studies were using only the authentication concept of Matn. Most of the prior studies done manually and fewer utilized any machine learning methods, and the performance is still unable to measured or standardized.
Keywords:	Hadith, Sanad, Matn, Hadith Authentication, Hadith Authentication Methods
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	TOWARDS MORE ACCURATE AUTOMATIC RECOMMENDATION OF SOFTWARE DESIGN PATTERNS
Author:	ABEER HAMDY, MOHAMED ELSAYED
Abstract:	Design pattern is a high-quality reusable solution to a commonly occurring design problem in certain context. Using design patterns in software development improves some of the quality attributes of the system including productivity, understandability and maintainability. However, it is hard for novice developers to select a fit design pattern to solve a design problem. The paper proposes a text retrieval based approach for the automatic selection of the fit design pattern. This approach is based on generating a vector space model (VSM) of unigrams and topics to the catalogue of patterns. The topic is a set of words that often appear together. Latent Dirichlet Allocation topic model is adopted to analyze the textual descriptions of the patterns to extract the key topics and discover the hidden semantic. The similarity between the target problem scenario and the collection of patterns is measured using an improved version of the popular Cosine similarity measure. The proposed approach was assessed using Gang of four design patterns catalog and a collection of real design problems. The experimental results showed the effectiveness of the proposed approach which achieved 72 % precision.
Keywords:	Design Pattern Selection; DP Recommendation; Gang of Four, Text Mining, Information Retrieval, Topic Modelling, Vector Space Model.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	SIMULATION OF CHAOTIC PHENOMENA IN INFOCOMMUNICATION SYSTEMS WITH THE TCP PROTOCOL
Author:	ALEXAND KARPUKHIN, DMITRIJ GRICIV, EVGENY NIKULCHEV
Abstract:	In numerous works devoted to the study of network traffic, it was shown that in high-speed networks, chaotic operation modes can appear, the main cause of which is the behavior of the TCP protocol. The presence of such modes leads to a significant reduction in the bandwidth of the entire network, especially in the so-called bottlenecks. However, models that adequately describe infocommunication systems and make it possible to apply the entire arsenal of classical methods for analyzing nonlinear dynamical systems have not been proposed yet. The paper proposes a new approach to the analysis of the behavior of infocommunication systems with the TCP protocol – treating them as nonlinear dynamical systems demonstrating chaotic properties for certain values of the parameters. Phase portraits of the considered systems are constructed; the values of the maximum Lyapunov exponent are calculated for different values of the main parameters of the systems. The physical experiment was carried out in the real network. The problem of optimizing the parameters of the infocommunication system was solved in terms of the absence of undesirable chaotic regimes.
Keywords:	Network Traffic, TCP Protocol, Lyapunov Exponent
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	MULTI-CLASSIFICATION OF UNSW-NB15 DATASET FOR NETWORK ANOMALY DETECTION SYSTEM
Author:	MUKRIMAH NAWIR, AMIZA AMIR, NAIMAH YAAKOB, ONG BI LYNN
Abstract:	Problem to classify more than two classes (called as multi-class) for network anomaly detection system using machine learning techniques are very challenging and become a vital factor when the growth of many network attacks might endanger the performances of network system. A tremendous increase in the various number of network threats compromise the network system motivate the network anomaly detection system to be relevant and necessary to be implement using a powerful tool (machine learning approach) for network security issue. In this work, a model of an Online Average One Dependence Estimator (AODE) algorithm for multi-classification of UNSW-NB15 dataset that high in accuracy with a low false alarm rate (FAR) was built to overcome the issues such as the nature of data (complex data that represent into more than two classes), dynamical data in a network system, and frequent update (for streaming data that need a fast processing). The obtained results from the conducted experiment showed that Online AODE more recently detect the Worms class where the percentage of accuracy for classification is 99.93% with small FAR is only 0.001. Moreover, online AODE is an outperformed based on accuracy compare to online Naïve Bayes (NB) where the classification rate 83.47% and 69.60% respectively for multi-classification the UNSW-NB15 dataset. Since, the given data is a streaming data in a computer network time need to be enumerated to have a fast algorithm for network anomaly detection system before the network system become in a critical condition. Although, the online NB is most fastest for multi-classification yet online AODE give a comparable result based on processing time.
Keywords:	Multi-classification, Network Anomaly Detection System, Averaged One Dependence (AODE), Machine Learning, UNSW-NB15 Dataset
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	CONTENT BASED IMAGE RETRIVAL USING COMBINATION HISTOGRAM AND MOMENT METHODS
Author:	FOUAD H. AWAD, REEM IBRAHIM HASAN, AHMEED S. FARHAN, LAITH ALZUBAIDI
Abstract:	In this work, we introduce content based image retrieval CBIR. One of the essential features is colour in an image processing and CBIR so we use the colour histogram and colour moment features in order to compare a inquiry image with the image in the database. The two ways, colour histogram and colour moment have achieved state-of-art results when we applied them to WANG database images. For testing purposes, We have used 100 images (10 images from each class).The mean retrieval of precision of histogram was 74.4 % and the average of colour moment was 72.4% when test every algorithm alone and the result be more efficient when combine them which be 75.1 % by using constant weight and the precision increase to 81.9% when make the weight of combination variable by the user. (Restate with marks)
Keywords:	Image Processing, CBIR, Colour Histogram, Feature Extraction, Color Moment.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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Title:	PHOTOVOLTAIC OUTPUT POWER FORECAST USING ARTIFICIAL NEURAL NETWORKS
Author:	A. ELAMIM, B. HARTITI, A. BARHDADI, A. HAIBAOUI A. LFAKIR, P.THEVENIN
Abstract:	This article presents a method for predicting the power provided by photovoltaic solar panels using feed forward neural network (FFNN) of a photovoltaic installation located in the city of Mohammedia (Morocco). An almost one-year experimental database on solar irradiance, ambient temperature and PV power were used to study the prediction ability of the power produced by artificial neural networks. To verify this model, the coefficient of determination (R2), the normalized mean squared error (nRMSE), the mean absolute error (MAE), and other parameters were used. The results of this model tested on unknown data showed that the model works well, with determination coefficients lying between 0.99 and 0.998 for sunny days, between 0.961 and 0.965 for cloudy days and between 0.88 and 0.93 for rainy days.
Keywords:	Photovoltaic Installation, Feed Forward Neural Network, Artificial Neural Networks
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2018 -- Vol. 96. No. 15 -- 2018
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