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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
January 2017 | Vol. 95 No.2

Title:	ANALYSIS OF INFORMATION SYSTEM QUALITY OF SERVICE ON BSI ACADEMYS ENVIRONMENT USING WEBQUAL METHODS, IMPORTANCE PERFORMANCE ANALYSIS AND FISHBONE
Author:	WINDU GATA, ORYZA GILANG H
Abstract:	At this time there have been many academic services developed in line with the present technology. Some colleges are already applying academic information system using internet media one website. Monitoring of incoming students, the increase in the ability of the students, through the student media website can find all kinds of information related to the academic field, the quality of education in the College continues to be improved to gain the trust and satisfaction of students in this Ministry that maximum based on the perceptions and expectations of student performance. The existing problems of the used method of approach to the assessment of the quality of the website i.e. WebQual by focusing on four dimensions: Usability Quality, Information Quality, Service Interaction Quality, and User Interface Quality which then uses the technique of analysis i.e. Importance Performance Analysis (IPA). After testing the invalidated the results of the compliance levels with A total 85, 75% already approaching good service based on 100% the performance of websites and produce distribution attributes belonging to the quadrant A (Priority) i.e. site yet provide a sense of security for storing personal data and layout information in the site is not yet right and there is a GAP in all dimensions of performance and expectations of students. Resulting improvements in methods of strategy diagram ishikawa (fishbone) i.e.
Keywords:	Quality of Service Information System, WebQual, Importance Performance Analysis.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	VEHICLE REWARDING FOR VIDEO TRANSMISSION OVER VANETS USING REAL NEIGHBORHOOD AND RELATIVE VELOCITY (RNRV)
Author:	WALID SHAHER M. YOUSEF, MUHAMMAD RAFIE HJ. MOHD. ARSHAD, AMMAR ZAHARY
Abstract:	Video transmission is a critical issue in VANETs. The main problem is how to extend the lifetime of video streaming in order to overcome routing overhead in the high mobility environment of VANET highways using the concept of rewarding vehicles in reliable zones/clusters with the long lifetime. This paper conducts a novel model based on the assumption that the relative velocity should essentially affect the dynamic topology and network lifetime, especially in high mobility environment, which is a vital property of VANETs. In this paper, a mathematical model named Vehicle Rewarding for Video Transmission over VANETs Using Real Neighborhood and Relative Velocity (RNRV) has been developed to optimize video transmission by the concept of real neighborhood of the rewarded vehicle. The idea behind the proposed model is to maximize VANET lifetime and minimize routing overhead of the network using the concept of relative velocity of neighbors within the transmission range of a rewarded vehicle. The concept of real neighborhood introduced by the proposed model decreases the impact of high mobility in VANET highways because it maximizes the dynamic topology of a VANET zone/cluster, which, consequently, leads to better routing path and link durations. The proposed model has been implemented and examined using MATLAB. Results show that number of real neighbors is critically inﬂuenced by the factors of relative velocity and distance of vehicles within the transmission range of the rewarded vehicle.
Keywords:	Relative Velocity, distance, Throughput, Delay, VANET, RNRV.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	INTER-RATER RELIABILITY OF ACTUAL TAGGED EMOTION CATEGORIES VALIDATION USING COHENS KAPPA COEFFICIENT
Author:	NOR RASHIDAH MD JUREMI, MOHD ASYRAF ZULKIFLEY, AINI HUSSAIN, WAN MIMI DIYANA WAN ZAKI
Abstract:	It is necessary to find the human inter-rater agreement in emotion recognition research especially when handling with publicly available database. This paper discusses the Cohens Kappa coefficient technique to verify the actual tagged emotion categories for hybrid emotion model using music video as stimulus. This method has been done by finding the degree of inter-rater reliability between the five selected raters. As the results, the values of Cohens Kappa coefficients are over 0.87 for four actual tagged emotion categories which are happy, relaxed, sad and angry. These values demonstrate that the degree of inter-rater agreement are excellent. The actual tagged emotion categories are selected based on the division of average value of arousal-valence rating.
Keywords:	Emotion recognition, Cohens Kappa Coefficient
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	A MULTI-POPULATION HARMONY SEARCH ALGORITHM FOR THE DYNAMIC TRAVELLING SALESMAN PROBLEM WITH TRAFFIC FACTORS
Author:	MOHANAD MUAYAD JOHN JURJEE, HAFIZ MOHD SARIM, NOORA HANI ABDULMAJEED AL-DABBAGH, ERNA BUDHIARTI NABABAN
Abstract:	Recently, there has been a growing attention to employ evolutionary algorithms (EAs) in addressing dynamic optimisation problems (DOPs) due to its significance in real world applications. The most notable challenge when solving DOPs is that the objective should not only attempt to seek the global optimum by an efficient way, but be able to keep track the optimal solution during the environmental changes. Thus, several mechanisms have been developed for EAs in order to improve the search performance of the algorithm in accommodating the dynamic changes such as by increasing the diversity of the population. Among these strategies, the multi-population mechanism has been found beneficial for EAs for DOPs. Dynamic travelling salesman problems (DTSPs) are categorised under DOPs. In the Travelling Salesman Problem (TSP), a salesman wants to distribute items sold in different cities starting from his home city and returning after he visited all the cities to his starting city again by optimising his time and tour efficiently. However, in the DTSPs, it is more challenging to consider the traffic delays that may affect the route of the salesman and change the time planned beforehand. Therefore, the salesman will optimise his time again and find a new alternative route to avoid long traffic delays. The presented work aims to build upon the state of the art research methodologies for the DTSPs with traffic factors, where in order to cope with the dynamic behaviour, a multi-population approach is applied to harmony search algorithm that mimics the musical process of trying to find a state of harmony. Moreover, a multiple pitch adjustment rate (PAR) strategy is proposed since PAR assumed to be the moving rate from one city to the nearest city in the TSP. The performance of the proposed multi-population HS algorithm is verified on two variations of DTSPs with traffic factors, i.e., random and cyclic traffic delays. Based on different DTSP test cases, the experimental results show that the proposed approach is able to obtain competitive results when compared to the best-known results in the scientific literature.
Keywords:	Dynamic Optimisation, Travelling Salesman Problem (TSP), Harmony Search, Multi-Population Approach, Diversity
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	MODELLING OF BIOGAS PRODUCTION FROM BANANA STEM WASTE WITH NEURAL NETWORKS LEARNING STRATEGIES TO OPTIMSE THE PRODUCTION
Author:	ABDUL SAHLI FAKHARUDIN, MD NASIR SULAIMAN, NORWATI MUSTAPHA
Abstract:	Biogas production from waste is a valuable renewable energy and with better process design, maximum biogas yield can be obtained from the same amount of waste. Modelling and optimisation are widely used in biological and chemical process domain to increase and to improve the efficiency of this process. In recent years, intelligence computation is applied to design a better process model and optimised biogas yield. This paper presents a comparative study of several neural networks learning (back-propagation, resilient propagation, Lavenberg-Marquardt and particle swarm optimisation) algorithms for process modelling and optimisation and its relation with the optimisation result. The result shows an improvement of around 10% of biogas production and 8% more from the engineering mathematical optimisation. Two main complications were identified, first one is the high accuracy modelling is not a guarantee for optimised production and the second is a false solution with high optimised production may happen. To clarify this situation, a solution is suggested using factor deviation percentage.
Keywords:	Modelling, Optimisation, Neural Networks, Genetic Algorithms, Biogas
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	COMBINING DECISION TREE AND BACK PROPAGATION GENETIC ALGORITHM NEURAL NETWORK FOR RECOGNIZING WORD GESTURES IN INDONESIAN SIGN LANGUAGE USING KINECT
Author:	WIJAYANTI NURUL KHOTIMAH, YOHANES ADITYA SUSANTO, NANIK SUCIATI
Abstract:	Sign language is a media for speech and/or hearing problems people to communicate. Different kind of sign languages exist in the world such as Indonesian Sign Language (ISL), American Sign Language (ASL), Chinese Sign Language (CSL), British Sign Language (BSL), Brazilian Sign Language (BSL), and France Sign Language (FSL). In Indonesia, the used of ISL was less extensive because not all people understand it. People that do not have understanding on ISL cannot translate it. Therefore an ISL translation system is required. Many researches about sign language translation system had been done for FSL, BSL, FSL, and CSL. However, research on ISL is still limited and still need development. Therefore we proposed a new system for recognizing ISL word gestures. In this research we captured user skeleton by using Kinect. From those skeletons only nine skeletons were used as feature by computing their vector value, angle value, and distance value. Totally 28 features were extracted. Then the combination of Decision Tree and Back Propagation Neural Network (BPGANN) was implemented for classifier. For experiment, eight ISL vocabularies were tested by two people. The recognition accuracy of this system, although evaluated with small vocabulary, presents very promising result with value 96%.
Keywords:	Indonesian Sign Language Recognition, Decision Tree, BPGANN, Kinect
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	A SECURE DATA COLLECTION FROM SENSOR NODES USING MOBILE SINK IN COMPUTATIONALLY CONSTRAINED WIRELESS SENSOR NETWORKS
Author:	M.GIRI, S.JYOTHI
Abstract:	In wireless sensor networks for every data transmission or data collection, sensor power will be reduced and power saving is one of the major problem in this case. Rolim et al. [1] proposed a method of data gathering by using adaptive stop times, at every node based on network traffic delay time is increased to collect more data from sensor nodes, and if the sink node is not selected properly then it will lead to increase network delay time. In this paper we introduced a new secure reliable data collection and data transmission method to collect sensed data by reducing power consumption. We simulated proposed method using network simulator tool by increasing data rate 100, 200, 300, 400, 500 KBPS, performance of proposed method is evaluated using metrics like network delay, power consumption, overhead, packet drop and delivery ratio. At the end, we compare our results with existing method and our methods exhibit better results when compared with existing method.
Keywords:	Sensor node, Data Collection, Data Transmission, Authentication, Network Metrics, Network Traversal, Random walk, Rendezvous Point.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	A NEW APPROACH ON STEP CLUSTERING BASED GREEDY ROUTING IN VEHICULAR AD HOC NETWORKS
Author:	M. JAGADEESAN, Dr .C. CHANDRASEKAR, Dr.K.JAYASUDHA
Abstract:	VANETs are recent mobile wireless ad hoc networks which plays an important role in communications and various commercial applications. Routing of data is a challenge because of moving of the nodes ie., vehicles. Then the disconnection in between the nodes are always not predictable. The node which we are sending may be at our communication range at that moment, but after the sending of packet, due to some circumstances it may not reach the correct target. In the mean time the target node may go out of the transmission range. This happens due to many reasons like low packet delivery, increased packet overhead or routing overhead. In this paper we propose SCBGR(Step Clustering Based Greedy Routing) which is a position based routing algorithm which uses weight score method for efficient packet forwarding. We had used ns2.33 simulator. The routing overhead has been reduced considerably comparing to the recent routing protocols. The simulation results shows that SCBGR has overcome the limitations of the previous protocols.
Keywords:	Vehicular Ad hoc Networks, Greedy Position Based Routing, Step Clustering, SCBGR
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	IMPROVEMENT INTEGRATED PERFORMANCE MEASUREMENT SYSTEM (IPMS) FOR SMALL AND MEDIUM ENTERPRISE IMPACT OF INFORMATION TECHNOLOGY
Author:	FIRLI IRHAMNI, BAIN KHUSNUL KHOTIMAH, DEWI RAHMAWATI
Abstract:	Small and medium enterprises or SMEs are a form of business that has an important role in employment. Measuring the performance of SMEs in Indonesia is empowered by the Department of Cooperatives to determine the condition of the SMEs that are under the empowerment of relevant agencies. It can be used to improve the performance of the SMEs. This research discusses Improvement Integrated Performance Measurement System (IPMS) based on Information Technology (IT) impact. IPMS is a method of measuring the performance which involves the needs of each skill stakeholder (stakeholder requirements) on the development used IT. The weighting method to analyze variables of Key Performance Indicators (KPI) used Analytic Hierarchy Process (AHP). KPI from stakeholder that the form contains: the parent business, business units, business processes and activities. Especially the analyzing of SMEs parameters based on the role of human resources used Information Technology (IT). The parameters include financial accounting, promotion, design, sale and purchase transactions, and payroll. IPMS method combined with AHP to calculated the weighting of stakeholders. Stakeholders form consists of 10 KPI and include timely product delivery ratio, amount of new customers, amount of training conducted, defective product ratio, current ratio, debt to equity, total asset turnover, gross profit margin on sales, revenue growth rate and the number of workers who received. This research identifies four Stakeholders in SMEs who formed 10 KPI. The four stakeholders are customers, labor, investors, and community. SMEs performance results score was 135.770 of 3 KPI be marked green traffic light system. Therefore, other 9 KPI were yellow and red on a traffic light system. The value score show great performance KPI in SMEs.
Keywords:	Performance Measurement Systems, SMEs, IPMS, KPI, AHP
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	COMPARISON BETWEEN MEMD-LSSVM AND MEMD-ARIMA IN FORECASTING EXCHANGE RATE
Author:	NUR IZZATI ABDUL RASHID, ANI SHABRI, RUHAIDAH SAMSUDIN
Abstract:	Due to the non-stationary and non-linearity behaviors of exchange rate data, an appropriate forecasting model that can capture these behaviors is crucial. This paper comparing the performance of modified empirical mode decomposition (EMD) and autoregressive integrated moving average (ARIMA) named as MEMD-ARIMA and modified empirical mode decomposition (EMD) and least squares support vector machine (LSSVM) named as MEMD-LSSVM in forecasting daily USD/TWD exchange rate. EMD technique is firstly used to decompose the exchange rate data that resulting in few intrinsic mode function (IMF) and one residual. In order to improve the result of the EMD so that more effective input can be provided to the forecasting models which are LSSVM and ARIMA, they are clustered into several groups via permutation distribution clustering (PDC). The successfulness of LSSVM in forecasting is depending on the input number selection. The problem is the input number selection is not based on any theories or techniques. Therefore, partial autocorrelation function (PACF) is used in this paper in determining the best number of input for LSSVM. This paper finds that the implementations of PDC has improved the performance of EMD-LSSVM and EMD-ARIMA and also suggest the PDC is suitable either for linear or non-linear model.
Keywords:	Exchange rate, forecasting, Empirical Mode Decomposition (EMD), Least Squares Support Vector Machine (LSSVM), Permutation Distribution Clustering (PDC)
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	A GENERIC AGENT-BASED DYNAMIC PROCESS SIMULATION FRAMEWORK: A SELF-ADAPTIVE MODELLING APPROACH
Author:	YIM LING LOO, ALICIA Y.C. TANG, AZHANA AHMAD, AIDA MUSTAPHA
Abstract:	Agent-based simulation (ABS) modelling had been a prevalent approach in simulating dynamic processes for a variety of domains. However, the constructed models are usually domain-specific in nature. The proprietary issue of existing modelling approaches limit the possibilities of reusing those constructed models in other application domains. Such limitation also poses issues in model extensibility and customization. Thus, this paper presents a generic ABS framework with self-adaptive modelling approach to address the aforesaid limitations. In the ABS framework, self-adaptive modelling architecture supports construction and re-construction of models autonomously. Simulations were conducted for a few dynamic processes derived from two case studies of New Student Registration and Crime Investigation. Simulation results show that different ABS models were successfully developed, extended and customized by the self-adaptive modelling component in the framework.
Keywords:	Agent-based Simulation Model, Self-adaptive Modelling, Dynamic Processes, Generic Agent-based Simulation Framework, Case Study
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	n-CHANNEL LDMOS WITH STI FOR BREAKDOWN VOLTAGE ENHANCEMENT AND IMPROVED RON
Author:	SUNITHA HD, KESHAVENI N
Abstract:	LDMOS is a device of choice for its better breakdown voltage characteristics in many of the applications. LDMOS offers various advantages over conventional MOSFETs with little process change. In this paper a way to improve breakdown characteristics of the device by shallow trench isolation between drain and source is explored. The complete fabrication process is modeled and the device performance is simulated. The modeled device gives a breakdown voltage of 54V. The device is shown to have a threshold voltage of 1.46V making it suitable for high voltage technology. Further, a lithography step followed by boron implantation is suggested to improve the Ron characteristics of the device. A nearly two times improvement in the Ron is achieved. Comparison results presented prove the performance improvement over existing commercially available LDMOS devices.
Keywords:	LDMOS, Breakdown voltage, on resistance(Ron), STI, RESURF
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	AN ADVANCED COST AND SEARCH SPACE REDUCTION AND OPTIMIZED PATTERN GENERATION USING MAPREDUCE
Author:	HUSSAIN SYED, DR.PRASANTH YALLA
Abstract:	Big-data takes us into new epoch of data, which commonly referred to be as a big data. It pose a challenges to the researchers with more velocity, more variety and large volumes and software engineers are working on variety of methods in avoiding cost of development process. Where the commonly used software’s are not able to imprisonment, accomplish and process within the lapsed time. Furthermore, there is a need to discover new procedures for to process large volumes of data to optimization, datamining and knowledge discovery. This ambitions and motivations are drives the researchers to Big-data analytics and big-data mining. Over the earlier few centuries, different procedures have been proposed to use the MapReduce model-which decrease the space of search with distributed or parallel computing-for different big data mining and analytics tasks and these methods are used in providing a cost effective solution across various software development models using Bayesian Approaches. In this paper we propose an algorithm which reduces the search space based on user’s perspective and MapReduce to mine valid frequent patterns, approximate patterns and rare patterns from high volumes of ambiguous data in a divide-and-conquer fashion and we evaluate the performance through Hadoop and this proposal proves that Bayesian approach will not only improves the strategies used in software development process and also cut down the cost of the project during the implementation. Our implementation results prove that proposed approach is more realistic across pervasive and distributed computing environments.
Keywords:	Software development process, Bayesian Approaches, Big-Data Analytics, MapReduce Model, Hadoop.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	A REVIEW ON DELIVERY ROUTING PROBLEM AND ITS APPROACHES
Author:	SITI NURBAYA ISMAIL, KU RUHANA KU-MAHAMUD, SYARIZA ABDUL-RAHMAN
Abstract:	In this paper, a review is conducted specifically in the delivery routing problem, so as to understand its problems and approaches on the current developments and publications. The variants of delivery routing problem were categorized according to the constraints considered in solving the problem. The solution algorithms for the delivery routing problem were classified into hybrid and non-hybrid approaches. A collection of benchmark datasets and real case studies is also presented in relation to the delivery routing problem. The review helps to summarize and record a comprehensive survey on the delivery routing problem. The aims is to organize the variants components of delivery routing problems in a manner that provides a clear view for the readers. New potential research directions resulting from the study is also presented.
Keywords:	Vehicle Routing Problem, Delivery Routing Constraints, Hybrid and Non-Hybrid Algorithm, Solution Algorithm, Delivery Dataset
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	NAIVE BAYES CLASSIFIER AND FUZZY LOGIC SYSTEM FOR COMPUTER - AIDED DETECTION AND CLASSIFICATION OF MAMMAMOGRAPHIC ABNORMALITIES
Author:	MARJUN S. SEQUERA, SHERWIN A. GUIRNALDO, ISIDRO D. PERMITES JR.
Abstract:	Breast cancer has been one of the major causes of death among women since the last ten years and it has become an emergency for the healthcare systems of industrialized nations. This disease became the most common cancer among women. Today, detecting breast cancer at its early stage is the primary factor that will increase the chances of survival and will provide more options for treatment. Because of this, the proponent develops a computer – aided detection and classification system for mammographic abnormalities. These abnormalities are limited only with microcalcification and masses. These abnormalities are classified as to benign or malignant.The system is divided into three modules: (1) detection of microcalcification, (2) classification of microcalcification and (3) classification of masses. The proponent used a Naive Bayes Classifier in detecting microcalcification and Fuzzy Logic System for classification of the severity of abnormalities. The data used were obtained from the Mammographic Image Analysis Society (MIAS) database.
Keywords:	Breast Cancer, Masses, Microcalcification, Computer -Aided System
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	AUTOMATIC LIP READING FOR DAILY INDONESIAN WORDS BASED ON FRAME DIFFERENCE AND HORIZONTAL-VERTICAL IMAGE PROJECTION
Author:	ARIS NASUHA, FATCHUL ARIFIN
Abstract:	Automatic lip reading is one of research being developed lately. Automatic lip reading has been used for various purposes, such as enhancing speech recognition and aid to speech training for the deaf. There are two approaches in lip feature extraction, namely appearance based and shape based. Appearance based approach is usually better, because it provides visual features that cover not only lips structure but also teeth and tongue visibility. However, the drawback of this approach is producing too many features. This paper presents the new method, integration of frame difference and horizontal-vertical image projection. This proposed method is part of appearance approach, apart from using image projection as dimensionality reduction. We implement the proposed method in automatic lip reading to classify five daily words in Indonesian language. We use 200 data which are recorded in frontal face and focused around the lip. MLP (Multi Layer Perceptron) and SVM (Support Vector Machine) are used as classifiers. Model of the proposed method are evaluated using 4-fold cross-validation. Of four algorithms on the proposed method, the best result is achieved by the combination of folded lip image and double difference. The comparison of the proposed method and 2D-DCT (2 Dimension - Discrete Cosine Transform) shows that the proposed method exceeds 2D-DCT in CA (Classification Accuracy) and AUC (Area Under ROC Curve), specifically when using MLP as classifier. The proposed method achieves 96.5% in CA and 0.9993 in AUC, whereas 2D-DCT achieves 94% in CA and 0.9978 in AUC.
Keywords:	Lip Reading, Neural Network, Visual Speech Recognition, Appearance Based Approach, Indonesian Language
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	COMPARATIVE ANALYSIS OF ML POS ON ARABIC TWEETS
Author:	MUSTAFA ABDULKAREEM, SABRINA TIUN
Abstract:	One of the challenges of natural language processing is social media text like tweets. Conversational text in contrast to genres that are highly edited (standard language) which traditional NLP tools have been developed for contains many syntactic patterns and non-standard lexical items. These are the outcomes of dialectal variation, diversity in topic, orthography, unintended errors, conversational errors and creative language use. The fact that twitter text is characterized by idiosyncratic style, noise and linguistic errors makes it difficult to part-of-speech tag. The aim of this paper is to design and implement models of speech tagging for Arabic tweets by investigating numerous models of machine learning like K-Nearest Neighbour, Naive Bayes and Decision tree models. In this paper, a novel Arabic Twitter corpus is introduced while assessing various state-of-the-art POS taggers which retrained on the given corpus. A state-of-the-art accuracy of 87.97% is achieved when tagging twitter.
Keywords:	Arabic part of speech tagging, Arabic tweets Classification, Feature Extraction
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	DISCOVERY AND INTEGRATION OF JOB MARKET SERVICE USING SEMANTIC WEB SERVICE APPROACH
Author:	TEGUH SUSYANTO, ZUHRAH
Abstract:	Nowadays, there have been many websites applying information services of job vacancy. However, they still have many weaknesses and have not been able to provide relevant information for the job seekers yet. One of the weaknesses is that there have not been any information sharing with other job fair websites, therefore the information of the job being offered is still very limited. The presence of semantic web service technology makes any web services possible to be integrated dynamically. It is now possible to do the process of discovery, composition, invocation, and monitoring of web service automatically. This paper is using the technology of semantic web service to integrate several services on job fair information in the computer network. The conducted research was focused on the service discovery to support the searching and selecting of the relevant and reliable web service of job market. The method applied on the service discovery is combining the algorithm of semantic matching and simple additive weighting. The result of the testing is that the relevant and the best web service is found out based on the calculation of the similarity of the functional parameter and the service quality.
Keywords:	Web Service Integration, Semantic Web Service, Service Discovery, Job Market, Semantic Matching
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	NETWORK AWARE RESOURCE SCHEDULING IN SENSOR CLOUD
Author:	SAYED CHHATTAN SHAH
Abstract:	In sensor cloud, multiple sensing and computing devices interconnected through an ad hoc network are presented as one powerful unified computing resource. One of the key issues in sensor cloud is resource scheduling which is concerned with identification of computing resources where the application tasks will be run. In literature, several resource scheduling schemes have been proposed but most of them are either targeted towards pre-existing network infrastructure-based systems or they do not consider the dynamic and distributed nature of sensor cloud. In this paper, an energy efficient and network aware resource scheduling scheme is proposed for scheduling of data intensive tasks on sensor cloud. The scheme uses multi-level transmission power and network information to reduce transmission energy consumption and data transfer time.
Keywords:	Sensor grid, Mobile cloud computing, Ad hoc sensor network, Task scheduling, Energy-aware
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	CUSTOMER KNOWLEDGE MANAGEMENT IN SOFTWARE DEVELOPMENT: A DESCRIPTIVE FIELD SURVEY
Author:	ARASH KHOSRAVI, AB RAZAK CHE HUSSIN, BEHROUZ MINAEI-BIDGOLI
Abstract:	Customer Knowledge (CK) plays an important role in the production of high quality and innovative software products. However, there has been little comprehensive academic research on the enablers of customer-specific knowledge. Therefore, study aims to analyze Customer Knowledge Management (CKM) enablers for enterprise software development companies. Survey questionnaires were distributed to software companies and results showed that most firms focus their efforts more on Technological Infrastructure and less on Human and Organizational CKM enablers. Results demonstrated low positive percent ratings for Human Antecedents (Individual Competences & Skills) and Organizational enablers (Customer Involvement, CKM Strategy Development and Training). This study contributes to the CKM domain by revealing essential elements that better enable enterprise software development firms to enhance software quality and produce innovative products. The author recommends that software companies place greater emphasis on Human and Organizational enablers for the successful implementation of CKM strategies.
Keywords:	Customer Engagement, Customer Knowledge Management (CKM), CKM Challenges, Software Quality, Software Innovation, Enterprise Software Development
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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Title:	ASPECT-BASED OPINION SUMMARIZATION : A SURVEY
Author:	WARIH MAHARANI, DWI H. WIDYANTORO, MASAYU L. KHODRA
Abstract:	With the growing popularity of Web 2.0, social media is becoming the largest source of information. Because of the huge number of unstructured reviews, it is impossible to summarize all this information manually. Therefore, efficient computational methods are needed for mining and summarizing the reviews to produce a representative summarization. We presents a detailed and systematic overview of the last update in the aspect-based opinion summarization, including state-of-the-arts and methods that widely used in aspect-based opinion summarization. This paper also describes a comparison of several methods in summary generation, including text-based and visual-based opinion summarization. Finally, this paper presents some research opportunities and challenges in aspect-based opinion summarization.
Keywords:	Web 2.0; Social Media; Opinion Summarization; Aspect-Based Summarization.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2017 -- Vol. 95. No. 2 -- 2017
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