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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
October 2017 | Vol. 95 No.20

Title:	INFORMATION TECHNOLOGY GOVERNANCE USING COBIT 4.0 DOMAIN DELIVERY SUPPORT AND MONITORING EVALUATION
Author:	AHMAD ISHAQ, MUKHNERI MUKHTAR, MOCHAMAD WAHYUDI, KARLENA INDRIANI
Abstract:	Information Technology (IT) has rounded into a technology which hardly assist even determine level of performance a company. For the agenda of increasing performance, Bina Sarana Informatika (BSI) has been supported by information technology. Constructively IT (Information Technology), Business process or job activity process happened in university can be put across and efficient. But other side, the purpose of business, applying of IT needs cost money high investment at risk to big enough failure. Therefore required a mechanism Arrange IT Management (IT Governance) which totally and structural from starting planning untill the observation. This research is to give a model proposal arrange IT Management for Bina Sarana Informatika (BSI) by relating COBIT (Control Objective for Information and Related Technology) Version of 4.0. This research is focused on two main domain COBIT, that is Delivery Support (DS) and Monitoring Evaluation (ME) and this research is continuation from other researcher that is Evi, Rahmawati, the researcher who focuses on domain DS and ME. Methodologies are done through analysis whereas from vision identification, mission and purpose of organization and also mission and vision from part of Biro Teknologi Informasi (BTI). Here in after identifying by management awareness to IT asset function which have him (it in supporting the of reaching company mission and vision through questioner. From both the data hence is determinable of maturity goals (expected maturity level) appropriate for Bina Sarana Informatika (BSI). Then continued by doing assessment of current maturity level through questioner and interview to related and relevant responder of management of titanium. The expected data and current maturity levels of each IT process are analyzed to look at the gap, and then determined gradually; Steps that must be taken to overcome the gap.
Keywords:	Arrange IT Management, COBIT Process, TI, Maturity
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	COMPUTING THE DISTANCE AMONG BUSINESS DOMAINS USING SEMANTIC SIMILARITY MEASURES
Author:	ELHAM ABD AL LATIF AL BADAWI , AHMAD KAYED, SIDDIQ AHMED BABIKIR
Abstract:	Cloud service providers maintain multiple-tenant databases in the cloud computing environment. They reduce the cost by sharing computing and storage resources. Mixing tenants databases violates security protocols. Databases should be segregated to provide security, confidentiality, reliability, and availability. The competitors of different business domains will sit aside, according to the logical distance of their business domain. The farthest distance will be given to closest business domains. To compute the logical distance among business domains a good measure should be defined. There are several types of similarity measures that could be used to measure the similarity among concepts. This paper evaluates several measures to determine the best one that is suitable to be used in our segregation technique. We evaluated the applicability of using five different semantic similarity measures. These measures are path-length measure, Wu & Palmers measure, Leacock & Chodorow measure, Resnik measure and Lin measure. Taxonomy for business domains has been built to use these measures. This taxonomy mimics the WordNet taxonomy. Several experiments have been conducted to define the best measure among these measures. This paper finds that the shortest path is the best measure to compute the logical distance among businesses.
Keywords:	Cloud Computing, Semantic Similarity Measuare, Path Length Measure, Information Content Measure, Taxonomy.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	A METHOD OF CONSTRUCTING A STRUCTURED DATABASE OF THE TYPICAL OBJECTS OF PROTECTION ON THE BASIS OF CLUSTER ANALYSIS
Author:	DENIS YURIEVICH MINKIN, YURI IVANOVICH SINESHCHUK, SERGEY NIKOLAEVICH TEREKHIN, KONSTANTIN SERGEEVICH YUSHEROV
Abstract:	The article discusses the possibility of constructing a structured database of the typical objects of protection. These are the objects, the occurrence of an emergency situation or fire on which leads to substantial material damage or harm to the health or loss of life of people. This problem is solved on the example of developing the methods of selection of typical objects using the cluster analysis procedures for testing the algorithms of extinguishing possible fires on the protected territory in the area of the fire department operation. The authors analyze the objects of protection on the example of one of the districts of the city of St. Petersburg; typical objects are selected, and the justification of these choices is provided.
Keywords:	Cluster Analysis, Characteristic Of The Object, Data Segmentation, Applied Social Research, Software For The Statistical Research.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	ANALYSIS AND REDUCTION OF TIME SHIFT BETWEEN SENDING AND RECEIVING ON DATA ACQUISITION USING SMS GATEWAY SYSTEM
Author:	WARSITO, GURUM A. PAUZI, AMIR SUPRIYANTO, BERLI L. PUTRA, LAZUARDI UMAR, SW. SUCIYATI
Abstract:	This paper presents the data acquisition system of water level measurements using short message service (SMS) gateway at frequency of Global System for Mobile communication (GSM) ranging from 900 MHz to 907.5 MHz. We use the HC-SR04 ultrasonic transducer with a frequency of 40 kHz and a measurement range up to 5 m for water level detection. The output of the water level measurement are shown in LCD monitor, stored in microSD, and transferred to mobile phone by SMS gateway system. The data transmission using SMS gateway is realized using two models, namely the scheduled and requested transmission. The analysis of the data transmission using SMS gateway shows the time shift due to the transmission process for about 25 seconds. The modem processing time called the time-shift occurs due to the processing, transmition, and receiving data into information. To reduce this time-shift, we designed the commands in the program by creating and transmitting to a single information model. The average time reduction of time-shift decreases to about 4.15 seconds for 30 mobile phone number. The overall analysis of data acquisition system shows good results and efficient.
Keywords:	Data Acquisition, Water Level, Real Time, On Line, Sms Gateway
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	DETERMINATION OF EFFECTIVENESS OF EVALUATION RESULTS ON SCHOOL CULTURE AND CHARACTER OF JUNIOR HIGH SCHOOL STUDENTS USING CHARACTER ASSESSMENT INSTRUMENTS WITH THE LOCAL WISDOM OF BALI BASED ON MOBILE PHONE
Author:	IDA BAGUS PUTU ARNYANA, I WAYAN SADIA, I KETUT SUMA, DEWA GEDE HENDRA DIVAYANA
Abstract:	The aim of this study was to determine the effectiveness of the evaluation results on schools culture and characters students of junior high school using instruments of character assessment with Bali local wisdom based on mobile phone.This study was started with the development of mobile phone-based character assessment instruments with local wisdoms by adopting the research model and development of Tigarajan. Assessment instruments that had fulfilled the validity and reliability requirements were then tested for effectiveness with a one-shot case study, involving three classes of SMP Negeri 1 Singaraja. The data about schools cultures were collected through self-assessment instrument, which was filled by 44 teachers of science and 28 people (one class) at SMP Negeri 1 Singaraja who were involved as a sample. While the data about the character of students were measured by using instrument self-assessment character by involving 28 students of class VII, 28 students of class VIII, and 30 students of class IX at SMP Negeri 1 Singaraja. The measurement of the character of the students was done after they had learned the science of character education by inserting the local wisdom of Bali. The results of the research showed that 1) The mobile phone-based character assessment instruments had fulfilled the valid and reliable requirement to be used to measure the character of the school’s cultures and the character of Junior High School students; 2) In general, the level of schools culture effectiveness in SMP Negeri 1 Singaraja were in good category, although negative behaviors were found but they were rare; 3) The two dimensions of the students character; the spirituality and the responsibility with the level of effectiveness were in very good category, while the attitude of hard work, caution, and cooperation with the level of effectiveness were in a good category; and 4) The two aspects of students character that were discipline and honesty with the level of effectiveness were still in a low category or with a qualification that was beginning to appear.
Keywords:	Effectiveness, Evaluation, Assessment of Character Education, Mobile Phone, Schools Cultures, Students Character
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	RESEARCH OF THE EFFECTIVENESS OF SQL ENGINES WORKING IN HDFS
Author:	ANDREY KOLYCHEV, KONSTANTIN ZAYTSEV
Abstract:	The rapid data growth at the beginning of the XXI century gave impetus to the development of big data technologies. A distributed platform Hadoop became a key element of big data technologies. Initially, it was difficult using Hadoop for tabular data processing, on which many modern industrial information systems are built. Therefore, a variety of SQL tools for Hadoop began to appear, which gave rise to the problem of choosing a specific solution. The aim of this work is to identify the most efficient SQL tools for tabular data processing in a distributed Hadoop system. For this purpose a comparative analysis of six most popular tools: Apache Hive, Cloudera Impala, Spark SQL, Presto, Apache Drill, Apache HAWQ has been done. The result of the study was the choice of the most effective means from the standpoint of completeness of the list of functions performed, tool performance and the level of SQL standards support. After summarizing of the results of a study, which has been done on all selected space coordinates comparison, Presto was the most effective tool.
Keywords:	Hadoop, SQL-Like Syntax, SQL Engine, Software Functionality, Performance, Support For The Standard SQL Language, SQL Tools, Apache HIVE, Cloudera IMPALA, SPARK SQL, Presto, Apache DRILL, Apache HAWQ.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	PROGNOSIS CANCER PREDICTION MODEL USING DEEP BELIEF NETWORK APPROACH
Author:	FAKHIRAH D. GHAISANI, ITO WASITO, MOH. FATURRAHMAN, RATNA MUFIDAH
Abstract:	Cancer is one of main non-communicable disease. Analysis of cancer prognosis is necessary to determine the proper treatment for each patient. However, cancer data analysis is challenging because multiple risk factors may influence the prognosis of cancer, including genes and clinical condition of patients. This study aims to develop prediction model for cancer prognosis using clinical and gene expression (microarray) data. In this research, Principal Component Analysis (PCA) is applied to microarray data to reduce its dimension, then two Deep Belief Network (DBN) models for both clinical and microarray data are trained separately. Probabilities obtained from Clinical DBN model and Microarray DBN model are integrated using softmax nodes on Bayesian Network structure. Based on various experiments, the best DBN-BN integration model obtains prediction accuracy 73.3535% for overall survival prediction and 71.3434% for disease-free survival prediction.
Keywords:	Cancer, Prognosis, Principal Component Analysis, Dimensionality Reduction, Deep Belief Network, Bayesian Network, Data Integration, Data Harmonization, Microarray, Gene Expression
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	THE ROLE OF MULTIMEDIA DESIGN ELEMENTS IN COMPUTER ACCESSIBILITY FOR VISUALLY IMPAIRED: A COMPLETE REVIEW
Author:	MANORANJITHAM MUNIANDY, SUZIAH SULAIMAN
Abstract:	Designing an accessible computer application for the visually impaired has gained popularity among the researchers over the years. Many researches focus on creative usage of multimedia design elements in extending computer accessibility for users with these special needs. Multimedia design elements plays an important role in the design of any application, be it a mobile application, stand alone computer application, online web applications and many more. A designer acquires knowledge of designing through established standard guidelines and past literatures related to accessibility to produce user-disable friendly computer applications. Despite the constant effort from the designers, visually impaired users are still struggling to access and to use computer applications. Major reason to this scenario is not the fault of a designer but the gap in current state of art is to be criticized. A clear reflection on current state of art was not portrayed all this while leaving uncertainty among the designers in utilizing effectively the design elements in designing an application. Thus, this paper serves as a complete review in analyzing the findings of past literatures as well as established accessibility guidelines relating to visually impaired computer users. About 80 published articles were used to generate this paper. An analysis on the latest literatures has revealed that there exist lists of mandatory and optional elements in considering a design. These finding identifies the gap in current state of art and creates opportunity for future work.
Keywords:	Multimedia Design Elements, Computer Accessibility, Visually Impaired, User Interface Design
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	SOCIAL MEDIA USE, COLLABORATIVE LEARNING AND STUDENTS' ACADEMIC PERFORMANCE: A SYSTEMATIC LITERATURE REVIEW OF THEORETICAL MODELS
Author:	WALEED MUGAHED AL-RAHMI, NORMA ALIAS, MOHD SHAHIZAN OTHMAN, IBRAHIM ABDULRAB AHMED, AKRAM M. ZEKI, ALI ALI SAGED
Abstract:	This research provided a systematic literature review of theoretical models on interaction and collaborations regarding Information system (IS) and Information Technology (IT). This paper conducted an review of studies dedicated to (IS & IT) on the basis of certain dimensions namely, research theories, review of constructivist theories, definitions of constructivism, social constructivism, theoretical of constructivism, active collaborative learning theory, technology acceptance model (TAM), theory of reasoned action, technology acceptance model and Its extensions, and finally research models and frameworks. The discussion of this research obtained revealed that the interest on the topic has shown an increasing trend over recent years that it has ultimately become a well-known topic for academic research in the future via theories use. From review of theoretical models and related theories we recommend to use constructivism, active collaborative learning theory with (TAM) to measurement performance and satisfaction with social media use as the mediator. However, to boost and enhance the IT continuance intention, it is important that future studies apply considerable use of theoretical and methodological approaches like the qualitative methods to examine the IT continuance intention.
Keywords:	Social Media, Collaborative Learning, Students Academic Performance, Theoretical Model
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	EVALUATION OF POWER DISTRIBUTION NETWORK SYSTEM BY USING SELF-ORGANIZING MAP (SOM) AS THE BEST PRACTICE FOR BUSES CHARACTERISTIC CLASSIFICATION
Author:	M.F. SULAIMA, M.H. JALI, Z.H. BOHARI , M.F. BAHAROM, N. BAHARIN
Abstract:	The Artificial Neural Network is a technique that modeled from the ways of human brain acts. The unsupervised training is a self-learning process which is performing a classification without outside teaching help. The Self-Organizing Map is an algorithm that consists process of generated neurons to organize by themselves. This paper proposes a way of analysis of the Self-Organizing Map (SOM) applied to the classification of the standard IEEE 33-bus and 69-bus distribution data. The distribution bus data were classified based on four main features: active power (MW), reactive power (MVAr), apparent power (MVA), and power factor (pf). These features are the input for SOM classification. The analysis of SOM result has shown the capability of this algorithm as a classification method in order to classify the distribution bus data.
Keywords:	Self-Organizing Maps (SOM), IEEE 33-bus Distribution Data, IEEE 69-bus Distribution Data
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	HEARING AIDS BASED ON SMARTPHONE BY IMPLEMENTING TYMPANIC MEMBRANE AND BASILIAR MEMBRANE COMPRESSION
Author:	RULLY SOELAIMAN, ARIANTO WIBOWO
Abstract:	Hearing Impairment is one of the health problems usually caused by age or exposure to loud sound continuously. Based on World Health Organization, around 360 million people worldwide suffer from hearing loss and 32 million of these are children. Failure of the sound signal to reach the brain is the main cause of hearing loss. Hearing impaired often cannot hear soft sound, cannot hear in noise, and cannot hear sound in certain frequency. One of the solution is to wear hearing aids on the impaired ear. However, hearing aids are pretty expensive and some people cannot afford it. Without hearing aids, hearing impaired wont be able to understand daily conversation clearly, thus reduce the individuals ability to communicate with others and their hearing organ will continue to deteriorate. Unaddressed hearing loss also have effect on academic performance of children. Hearing Aids based on smartphone is an inexpensive solution for hearing impairments. Hearing impaired can download the applications in their smartphone so they can use the smartphone as the hearing aids. The application will mimics how ear works by implementing tympanic membrane and basiliar membrane compression. This paper intend to build a hearing aids application on smartphone using algorithm designed to mimic how the human ear works. Application will receive sound input from the microphone and output sound with better quality to the earphone of the hearing impaired. The system have been tested to hearing impaired with different environment (quiet and crowded environment), and they can listen to 79.3% of the given sound. With this satisfying result, we hope that this application will help hearing impaired to hear conversation clearly without the need to buy hearing aids.
Keywords:	Hearing, Hearing Impairment, Hearing Aids, Smartphone, Disability
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	IT-ENABLED ORGANIZATIONAL AGILITY - PROPOSITION OF A NEW FRAMEWORK
Author:	MOHAMED AMINE MARHRAOUI, ABDELLAH EL MANOUAR
Abstract:	The environment of companies is nowadays changing continuously. This rapid evolution is related to several aspects: economic, political, technological, regulatory, social and ecological. In order to gain competitive advantage, firms should be able to adapt so as to identify opportunities quickly, launch innovative products and comply with local and international regulations. Organizational agility, a key dynamic capability of the firm, allows it to sense environmental change and respond adequately. In this work, we present a new conceptual framework highlighting agilitys enablers and their direct/indirect effect on firms performance. Based on a systematic literature review, we identified the main agilitys enablers groups (IT, process, knowledge management, innovation, organization structure, human resources), and the characteristics of an agile enterprise (speed, flexibility, awareness, responsiveness, integration and competency). In addition, we focus in our proposed IT framework, on the impact of IT besides the complementary effects of the other agilitys enablers, on fostering organizational agility and thereby on enhancing firm performance.
Keywords:	Organizational agility, Sensing, Responding, Information technology, Firm performance
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	A RE-CONSTRUCTIVE ALGORITHM TO IMPROVE IMAGE RECOVERY IN COMPRESSED SENSING
Author:	R.JAYA LAKSHMI, DR.G.V.SUBBA RAO
Abstract:	In this paper, we study the Compressed Sensing (CS) image recovery problem. The traditional method divides the image into blocks and treats each block as an independent sub-CS recovery task. This often results in losing global structure of an image. In order to improve the CS recovery result, we propose a nonlocal estimation step after the initial CS recovery for de-noising purpose. The nonlocal estimation is based on the well-known nonlocal means (NL) filtering that takes advantage of self-similarity in images. We formulate the nonlocal estimation as the low-rank matrix approximation problem where the low-rank matrix is formed by the nonlocal similarity patches. An efficient algorithm, Extended NonLocal Douglas-Rachford (E-NDLR), based on Douglas-Rachford splitting is developed to solve this low-rank optimization problem constrained by the CS measurements. Experimental results demonstrate that the proposed E-NDLR algorithm achieves significant performance improvements over the state-of-the-art in CS image recovery.
Keywords:	Image Recovery, Algorithm, Reconstruction, Compressed Sensing, NDLR
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	SECURE DATA SHARING MODEL FOR PRESERVING PRIVACY
Author:	SANAA SARAHNEH, RADWAN TAHBOUB
Abstract:	Data sharing is the process of interchanging, analyzing, retrieving and integrating data. Although data sharing facilitates the way that data can be exchanged, security concerns arise as a challenge for conducting data sharing. Many policies include confidentiality, integrity, availability and privacy must be taken into consideration. In this research, preserving privacy subject will be considered. This research will propose a new privacy preserving data sharing model that combines compression techniques such as Huffman coding and different encryption algorithms in order to provide privacy in data sharing to facilitate data sharing in different areas. Performance parameters, such as processing and transfer time, and the enhancement for the expected model are also considered. Experiments results over 10 different files sizes show that the proposed model provide privacy to shared files also it reduces large files size since the proposed model uses Huffman coding and it is 87% faster on speed of 1MB/sec and on speed of 16MB/sec it is 38% faster than existing models.
Keywords:	Security, Data Sharing, Privacy, cryptography, compression.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	EMPIRICAL STUDY ON BANDWIDTH OPTIMIZATION FOR KERNEL PCA IN THE K-MEANS CLUSTERING OF NON-LINEARLY SEPARABLE DATA
Author:	CORI PITOY, SUBANAR, ABDURAKHMAN
Abstract:	K-Means is a method of non-hierarchical data clustering, which partitions observations into k clusters so that observations with the same characteristics are grouped into the same cluster, while observations with different characteristics are grouped into other cluster. The advantages of this method are easy to apply, simple, and efficient, and its success has been proven empirically. The problem is when the data is non-linearly separable. Overcoming the problem of non-linearly separable data can be done through a data extraction and dimension reduction using Kernel Principal Component Analysis (KPCA). The results of KPCA transformation were affected by the kernel type and the size of bandwidth parameters (), as a smoothing parameter. Calculation of K-Means clustering of Iris dataset, using 2 Principal Component (PC), Euclid distance and Gaussian kernel showed that the external validity (entropy) and internal validity (Sum Square Within) are better than the result of standard K-Means algorithm.
Keywords:	K-Means Clustering, KPCA Bandwidth, Validity, Entropy, Non-Linear Separable Dataset
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	SIMULATING THE IMMUNE INSPIRED ENERGY CHARGING MECHANISM FOR SWARM ROBOTIC SYSTEMS
Author:	MOHAMMED AL HAEK , AMELIA RITAHANI ISMAIL
Abstract:	Fault tolerance or the property that enables a system to continue its operation properly in the event of partial failure is one of the most desired criteria in swarm robotic systems. There is a possibility that a continuous failure of the member(s) of the swarm, will reflect on the overall performance of the systems. In this paper, we proposed an immune-inspired energy charging mechanism, which is inspired by the process of immune responses. The proposed energy charging mechanism is presented, simulated and compared with another common energy charging mechanism, which is the use of contact-less energy charging area. Based on the experimental results, the proposed mechanism shows an improvement in terms of performance time and aggregate energy of the swarm to perform its task.
Keywords:	Swarm robotics, Simulation
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	AN EXPANDED SQUARE PATTERN TECHNIQUE IN SWARM OF QUADCOPTERS FOR EXPLORATION ALGORITHM
Author:	MUHAMMAD FUAD RIZA ZUHRI , AMELIA RITAHANI ISMAIL
Abstract:	The exploration algorithm is one of the most important roles in the searching mechanism. In robotics field, the exploration algorithm deals with the implementation of the robot to enlarge the information over a particular environment. In other words, the implementation of exploration algorithm into a robot is intended to survey the situation or condition of a specific area. A variety of techniques has been developed, even the biological systems also become an inspiration to be reckoned. In this paper, we proposed a swarm-based exploration algorithm with expanded square pattern using a quadcopter to explore an unknown area. In this algorithm, the expanded square pattern is conducted by a series of distance around a fixed reference point. We simulate the swarm-based exploration algorithm with expanded square pattern using a VREP simulator. The existing exploration algorithms that have been identified are also simulated to be compared with the proposed algorithm. In order to analysed and evaluate the performance of all algorithms, the data of simulation is documented. Some comparisons are conducted such as the performance of all algorithms, the performance of a group of the quadcopter, the covered spaces and the cooperation among groups.
Keywords:	Coordinated Exploration; Path Planning; Quadcopter; Swarm Robot
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	IMPLEMENTATION OF K-NEAREST NEIGHBOR ALGORITHM ANALYSIS IN PREDICTING REGULAR HAJJ APPLICANT FAILURE
Author:	EVA PURNAMANINGTYAS, EMA UTAMI
Abstract:	Growth of number hajj applicant is always increasing so that it produces very large dataset. Hajj office department on Local Religion Ministry Office Bantul is the only official governments instance that serving hajj in Bantul Regency trying to always provide the best service for people by providing accurate information and data as quickly as possible. Business intelligence become one of chosen solution to solve various need on providing and processing information and data accurately, effectively, and up to date so that can produce good report. One of key information is to predict hajj attendance that will fail so that it can be useful for others hajj attendance which are on the waiting list to prepare themself, this prediction is using k-nearest neighbor (KNN) algorithm. Hajj and Umrah Department has various services accommodating hajj applicants end-to-end including registrations and cancellations of each applicants. Currently the applicants that cancel their applications is unpredictable and only have very short notice period so that the applicants that is in waiting list only have very limited time to prepare themself. Considering this, system that can predict the number of cancelled applicants is very important and highly needed to solve the problem. On this prediction, preprocessing are used by giving weightage for each factors and then calculation have been done by using KNN algorithm so that the output is the nearest distance of the new case from the old case in the dataset, and after that that new case can predict the result of the new case as the Nearest Neighbor's result. Measurement of this algorithm is using cross validation. The highest accuracy in this thesis is 96.2% by using value of k optimum=9. All cases will be classified based on the data set (data training) in this KNN algorithm even though the distance will not be 100% for each all cases. Setting up the weightage variable and weightage of distance on each factors being done manually, this make the values of those weightage vary based on user's assumptions. However those weightage is highly affecting the end value of distance on each case in the result. The determination of variable weights and the comparative weight of manually assigned variable ratios allows different values according to the user's perception, whereas the value of the variable weights and the weight of the variable values greatly affects the proximity between one case and the other.
Keywords:	Predict Hajj Attendance, Report, K-Nearest Neighbor, Cross Validation
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	AN HYBRID GRAVITATIONAL METHOD FOR SOLVING THE CELL FORMATION PROBLEM
Author:	MANAL ZETTAM
Abstract:	The Cellular Manufacturing System has emerged as a strategy capable of improving the manufacturing cost and decreasing the lead time with no negative impacts on the product quality. One of the fundamental problems of this strategy is known as the Cell Formation Problem, which consists of defining cells including a machine group and a product (part) family. In this paper, we consider the Manufacturing Cell Formation Problem where the objective is to maximize the Grouping Efficacy measure. We introduce a hybrid gravitational method (HGM) combining a population based algorithm and a local search procedure. This hybrid metaheuristic is a variant of the Discrete Gravitational Search Algorithm (DGSA). It allows searching extensively the feasible domain of a problem during the early iterations. It also includes a well-balanced mechanism for enhancing exploration and exploitation strategies. Several modifications were necessary to adapt the DGSA in order to maintain similar performance when dealing with the CFP. The major ones consist in modifying the population of solutions and in performing the exploration phase. The Path Relinking process used in DGSA to modify the solution is replaced by a crossover strategy derived from concepts of the Gravitational Search Algorithm (GSA). The performance of this hybrid variant of the Gravitational Search Algorithm is evaluated using a set of 35 benchmarks from the literature. The numerical results confirm that our hybrid metaheuristic could be considered as one of the best algorithms.
Keywords:	Cell Formation Problem, Hybrid Gravitational Method, Gravitational Search Algorithm, Tabu Search, Grouping Efficacy
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	UTILIZATION OF OPEN SOURCE TECHNOLOGY IN DETERMINING OF VALIDITY AND RELIABILITY OF EVALUATION MODEL INSTRUMENTS BASED ON ANEKA VALUES IN ORDER TO EVALUATE THE QUALITY OF COMPUTER LEARNING
Author:	DEWA GEDE HENDRA DIVAYANA, ANAK AGUNG GEDE AGUNG, BASO INTANG SAPPAILE, WAKHINUDDIN SIMATUPANG, YULIATRI SASTRAWIJAYA, I MADE SUNDAYANA, GUSTI AYU DESSY SUGIHARNI
Abstract:	The aims of this research was to obtain the instrument of evaluation model based on ANEKA values that valid and reliable to used in evaluate the quality of computer learning. The method used in this research is instrument development method. Specific research on the making of this instrument is carried out within 1 month with some activities carried out, among others: definition of variables, translation of variables into more detailed indicators, preparation of instrument items, test of instruments, and analysis of instrument validity and reliability. Research subjects involved in this study are: 1 expert evaluation of education and 1 expert informatics engineering education that validating the contents of the instrument. In addition, there are 4 experts and 26 students who tested the validity and reliability of the instrument. The results of this research is a new breakthrough utilization of open source technology that is used for the calculation of validity and reliability of instruments, so obtained the items of evaluation model instrument based on ANEKA values that valid and very high reliability.
Keywords:	Evaluation Model, ANEKA, Instruments, Validity, Reliability, Open Source Technology
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	SHAPE AND GEOMETRIC FEATURES-BASED SEMANTIC IMAGE RETRIEVAL USING MULTI-CLASS SUPPORT VECTOR MACHINE
Author:	ZOHAIR MALKI
Abstract:	In this paper, a new approach to retrieve semantic images based on shape and geometric features of image in conjunction with multi-class support vector machine is proposed. Zernike moment as shape feature is to verify the invariance of objects for silhouette image. In addition, a set of geometrical features is to explore the objects shape using two features of rectangularity and circularity. Then the extracted features are normalized and employed for multi-class support vector machine either for learning or retrieving processes. The retrieving process relies on three main tasks which namely Query Engine, Matching Module and Ontology Manger, respectively. Query Engine is to build the input text or image query using SPARQL language. The matching module extracts the shape and geometric features of images objects and employ them to Ontology Manger which in turn inserts them in ontology knowledge base. Benchmark mammals have been conducted to empirically conclude the outcome of proposed approach. Our experiment on text and image retrieval yields efficient results to problematic phenomena than previously reported.
Keywords:	Zernike moment, Multi-class Support Vector Machine, Query Engine, SPARQL.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	AUTO-OPTIMIZATION IN SELF-ORGANIZING NETWORK (SON) FOR 4G LTE CELLULAR SYSTEMS
Author:	HUSSEIN A.AL OFEISHAT
Abstract:	In this paper, we propose to implement functions of self-organizing networks (SON) for Auto-optimization related to load balancing for LTE mobile radio-cellular systems through ns-3 simulation. The implementation is carried out through two algorithms dynamically adjusting the parameters of the handover (HO) based on the measurements of the received signal strength (RSRP). This adjustment is made as a function both of the load of the congested cell and of the neighboring cells less loaded and arranged to cooperate for a better distribution of the load. The numerical results obtained by simulation for the two load balancing algorithms implemented and a handover algorithm (already implemented in ns-3) based on the A3 event highlight the advantages of load balancing in terms overall throughput (across the network), loss rates, and number of handovers. It also shows the necessary compromises between these different metrics in order to achieve an efficient load balancing.
Keywords:	Self-Organizing Networks (SON), 4G Mobile Networks (LTE), Load Balancing (MLB), Dynamic Adjustment, Handover.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	THE INFLUENCE OF HUMAN RESOURCES COMPETENCY AND THE USE OF INFORMATION TECHNOLOGY ON THE QUALITY OF LOCAL GOVERNMENT FINANCIAL REPORT WITH REGIONAL ACCOUNTING SYSTEM AS AN INTERVENING
Author:	ISKANDAR MUDA, DENI YUWILIA WARDANI , ERLINA , AZHAR MAKSUM , ADE FATMA LUBIS , RINA BUKIT, ERWIN ABUBAKAR
Abstract:	This study aims to find out the influence of human resources competency and the use of information technology on the quality of local government financial report with regional accounting system as an intervening variable to regional works unit in Labuhanbatu Regency, Indonesia. The sampling technic in this study is using saturated sampling. There were 108 questionnaires distributed for all the staff members. The hypothesis was analyzed by using Structural Equation Model (SEM) with the help of SmartPLS software 2.0 M3. The result of this study is, partially, the human resources competency and the use of information technology have positive and significant influence towards the Regional Financial Accounting System (SAKD) in Labuhanbatu Regency, Indonesia.. The Regional Financial Accounting System (SAKD) mediates the influence of the Human Resources Competency and the use of information technology which do not have positive and significant influence on the quality of local government financial report of Labuhanbatu regency. This study recommends that there should be a comprehensive training program to improve the human resources competency in increasing the quality of local government financial report. Besides that, the head management should support the implementation of The Regional Financial Accounting System and Internal Control in order to improve the quality of local government financial report to be more optimal.
Keywords:	The Quality of Local Government Financial Report, Information Technology and the Regional Financial Accounting System, Regional Works Unit and Utilization.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	TYPE 2 FUZZY SLIDING MODE CONTROL (T2FSMC) CONTROLLER ON SOLAR PANEL PROTOTYPE USING THE MOST REPRESENTATIVE PARAMETERS
Author:	MARDLIJAH, NOORMAN RINANTO, ANNISA RAHMITA S
Abstract:	Solar energy is one of alternative energy sources in Indonesia. It can be converted to electrical energy by solar panel. There is a collector in the solar panel for collecting solar energy. The collector can collect solar energy maximally if the position is vertical to the sun. For keeping the collector position is always vertical to the sun, we choose to construct T2FSMC controller because it can control the angular velocity of collector and improve the ability of overcoming the disturbance and uncertainty of solar panel prototype. The controller can be implemented to the solar panel prototype. By using the most representative parameters, we obtain that T2FSMC controller is suitable for the solar panel prototype.
Keywords:	Solar Panel, T2FSMC Controller
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	IMPLEMENTATION OF LIGHTWEIGHT CRYPTOGRAPHIC PRIMITIVES
Author:	BARAA TAREQ HAMMAD, NORZIANA JAMIL, MOHD EZANEE RUSLI, MUHAMMAD REZA Z ABA, ISMAIL T. AHMED
Abstract:	Lightweight cryptography is not a new branch in cryptography. It is a subject specifically addressing the implementation of security mechanism in pervasive computing that are characterized by smart but resource constrained devices. There are at least two main lightweight symmetric cryptographic primitives namely lightweight block cipher and lightweight hash algorithm. Most of the previous surveys were focusing on implementation of specific cryptographic primitives. In this paper we present a comprehensive survey of all lightweight symmetric cryptographic primitives, from hardware and software perspectives. The survey covers analysis of these algorithms and a comparison between these primitives in terms of throughput, number of cycle, comprehensive area, power, and energy. We also provide a classification of the structure of lightweight block cipher and lightweight hash function. These classifications are very useful because the primitives have different and sometimes contrary characteristics. Finally this comprehensive survey highlights some of the issues related to security aspect of small key length in lightweight cryptographic primitives.
Keywords:	Lightweight Cryptography, Symmetric Cryptography, Block Cipher, Hash Function.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	A STUDY TO IMPROVE THE SOFTWARE ESTIMATION USING DIFFERENTIAL EVOLUTION ALGORITHM WITH ANALOGY
Author:	THAMARAI. I , DR. MURUGAVALLI. S
Abstract:	Software effort estimation is the process of calculating the effort required to develop a software product based on the input parameters that are partial in nature. Estimation requires information about project scope, resources available, process requirements and many other factors associated with a software product development. Inaccurate estimation leads to financial loss and delay in the projects. Due to the intangible nature of software, most of the software estimation process is not reliable. But there is a strong relationship between effort estimation and success of project management activities. Hence the aim of the research is to propose a new software estimation model that combines the Analogy concept with Differential Evolution Algorithm that is more efficient than the existing methods. Several methods for software effort estimation are discussed in this paper including the widely used and metrics used for evaluation. The use of Differential Evolution in the estimation is dealt in detail. A new model for estimation using Differential Evolution Algorithm called DEAPS is proposed and its advantages discussed. The proposed model is checked with the popular data sets namely Desharnais datasets, Albrecht dataset and COCOMO dataset. The results are compared with previous findings and the results clearly show that the proposed method is better than the existing methods. The proposed Model can be used to minimize the errors in the software estimation which is a crucial step in the software development process. Hence the financial loss and delay in the completion of project may be avoided
Keywords:	Software Effort Estimation Methods, Algorithmic and Non-Algorithmic Models, Evolutionary Computational Methods, Differential Evolution Algorithm
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	A NOVEL NETWORK CODING APPROACH: PACKETS CONFLICT BASED FOR MATRIX OPTIMIZATION
Author:	MOHAMMAD M. SHURMAN, MAMOUN F. AL-MISTARIHI, SHARHABEEL H. ALNABELSI, RAMI R. BANI HANI
Abstract:	Network coding (NC) is a technique used to improve wireless networks throughput, efficiency, and scalability. When employing this technique, wireless nodes collect several packets and combine them together in one single transmission. This technique is used to attain the maximum possible network flow with minimum number of transmissions. COPE, OpNC and FENC are widely known approaches in network coding that vary in complexity and optimality. COPE is the first proposed approach for network coding that is considered as a complex approach and may lead to a packet deadline termination; thus, transmitter should resend packets, and therefore, the overall throughput decreases. OpNC employs the COPE approach in order to find all possible codes for a set of packets, brute force searching, hence it is an exhaustive approach where the optimal solution is not always reachable. On the other hand, FENC utilizes division and conquers technique, in order to find an optimal network coding of a set of native packets, in which a repetitive algorithm is applied on the output queue more than once, in order to increase the possibility of finding an optimal coding solution. In this paper, we propose a novel technique which utilizes two basic concepts of network coding: matrix optimization and the notion of conflict between packets. This technique is called Conflict based Matrix Optimization for Network Coding Enhancement (CMO-NCE), in which the opportunity of recovering more packets within the transmitted encoded packets combination is increased. Our proposed technique chooses better packets combination when transmitting the encoded stream; consequently, more packets are recovered at destination nodes. Simulation results show that the proposed technique is better in terms of complexity and optimality than other existing techniques such as COPE and OpNC. Also, it shows that the proposed CMO-NCE mechanism results are close to FENC approach. However, CMO-NCEs time complexity is less than FENC and it is linear, O(n), where n is number of wireless nodes, while FENCs time complexity is not linear, O( ), where p is number of packets.
Keywords:	Network Coding, Packets Conflict, CMO-NCE, COPE, OpNC, FENC, Time Complexity
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	INSIDER RISK PROFILE MATRIX TO QUANTIFY RISK VALUE OF INSIDER THREAT PREDICTION FRAMEWORK
Author:	ISZAIDA ISMAIL, ROHAYANTI HASSAN, MUHAMMAD RAZIB OTHMAN, ASRAFUL SYIFAA AHMAD, NADA ELYA TAWFIQ
Abstract:	An insider threat refers to the threat arising from an individual inside an organization that maliciously leverages his or her system privileges, and closeness and proximity in a computerized environment to compromise valuable information and inflict harm. This scenario is an example of system violation that decreases the degree of system trustworthiness. Most cases of system trustworthiness use a peer judgment formulation, which may involve bias sentiments towards document sensitivity values. Moreover, audit trails of risky document navigation paths are important as an alarm to indicate any violation. Therefore, this study presents a combination of the trust criteria and document sensitivity level of an insider to obtain a risk value, which will be used to predict the occurrence of an insider threat. This study begins by investigating the prominent attributes of insiders with a focus on their degree of experience and skill in line with system trust. Subsequently, these prominent attributes are used to construct an insider Trust Profile Matrix (TPM). From the TPM, the trust value is calculated and combined with the sensitivity value of each document to produce a Risk Matrix (RM). As a result, (i) risk value and (ii) prediction rate and risky path are then calculated and analyzed using an Insider Threat Prediction Framework as an alarm for violation occurrence.
Keywords:	Insider Threat, Insider Threat Prediction, Sensitivity Level, Trust Value, Risk Value
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	ILLUSTRATION OF SEMI-SUPERVISED FEATURE SELECTION USING EFFECTIVE FRAMEWORKS
Author:	SUJATA GAWADE, DR.NAVEENKUMAR JAYKUMAR
Abstract:	Semi- supervised feature selection is a supervised feature jobs as well as method that uses the unlabeled data for guiding that the small quantity of labeled dataset with a huge quantity of unlabeled dataset. Semi-supervised feature selection is drop between the unsupervised selection and supervised selection. Feature selections have been playing an essential task in the different studies as well as application area of machine learning. In this paper we have explored a three-different level framework for semi-supervised feature selection. Which are mainly feature selection methods center on discovering relevant features for optimizing high-dimensional data. In this paper, we have shown that the relevance need three essential frameworks which provide an efficient feature selection in the semi-supervised context. In the constraint selection framework they select pair wise constraints which can be extracted from the labeled part of data. The Relevance analysis framework shows original utilized realization which competently merges the direct of the restricted geometrical construction of unlabeled data with a selected constraint from the first framework. It allows us to verify the set of relevant features. For the CSFSR and efficiency framework, is to find out and supply the redundant features from the relevant ones which can be chosen from the second framework. It also shows the comparison between third framework and prims algorithm for better feature selection. Result of this proposed system is efficiency with statistical and graphical view.
Keywords:	Feature selection, Dimensionality reduction, Semi supervised, Constraint, Relevance, and Redundancy
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	ONTOLOGY-BASED MULTI-STAGE ADAPTATION TO IMPROVE INNOVATIVE FORM DESIGN
Author:	U. UNGKAWA, D. H. WIDYANTORO , B. HENDRADJAYA
Abstract:	The reuse of design artifacts is a very important paradigm since it can more efficiently produce new high quality designs instead of designing from the scratch. This paper discusses ontology-based adaptation applied in the XReformer system, which implements the reuse of HTML form design with a case-based design (CBD) approach. In a CBD system, adaptation plays a very important role and becomes the most complicated stage. With a design-grammar and ontology-based approach, this adaptation is expected to improve an innovative design or even become a stepping-stone toward a creative design. In this paper, we propose a multi-stage adaptation method consisting of composition, grouping, ordering and laying out stages. The composition stage combines the required elements and the grouping stage performed in order to assure the coherence of a group of elements. The aim of ordering stage is to ensure that any element is in a proper position relative to another element. The last stage arranges the elements in a right position physically. The evaluation results have shown that this adaptation is able to reuse and generate new (innovative) form designs.
Keywords:	Form-Based User Interface, Design Reuse, Form Ontology, Case-Based Reasoning.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	SUPERVISED CLASSIFICATION AND IMPROVED FILTERING METHOD FOR SHORELINE DETECTION
Author:	FARIZUWANA A. ZULKIFLE, ROHAYANTI HASSAN, RAZIB M. OTHMAN, AMIRA BIBO SALLOW
Abstract:	Shoreline monitoring is important to overcome the problems in the measurement of the shoreline. Recently, many researchers have directed attention to methods of predicting shoreline changes by the use of multispectral images. However, the images being captured tend to have several problems due to the weather. Therefore, identification of multi class features which includes vegetation and shoreline using multispectral satellite image is one of the challenges encountered in the detection of shoreline. An efficient framework using the near infrared histogram equalisation and improved filtering method is proposed to enhance the detection of the shoreline in Tanjung Piai, Malaysia, by using SPOT-5 images. Sub-pixel edge detection and the Wallis filter are used to compute the edge location with the subpixel accuracy and reduce the noise. Then, the image undergoes image classification process by using Support Vector Machine. The proposed method performed more effectively and reliable in preserving the missing line of the shoreline edge in the SPOT-5 images.
Keywords:	Shoreline Detection, SPOT-5, Sub-Pixel Edge Detection, Support Vector Machine
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	Q - PUZZLE GAME FOR MEMORIZING THE RECITATION OF QURAN SURAH
Author:	HANI NURHAYATI , MUHAMMAD FAISAL , MUTAQIYUDDIN ROMADHONI
Abstract:	This study was aimed to support the memorizing of Quran surah by deploying the q-puzzle game. The game is established from the sections of surah that have already been erased intentionally. The surah are derived from the 30thjuz where each surah has 3 different levels. The higher the level is, the more the eliminated sections are.
Keywords:	Q - Puzzle Game, Level, Sections Of Surah
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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Title:	A NONLINEAR HEURISTIC MODIFIER FOR CONSTRUCTING EXAMINATION TIMETABLE
Author:	SYARIZA ABDUL-RAHMAN, SHARIFAH SHUTHAIRAH SYED ABDULLAH, AIDA MAUZIAH BENJAMIN
Abstract:	This research focuses on solving an examination timetabling problem by constructing solution using nonlinear heuristic modifier of Graph Coloring Heuristics. Two graph coloring heuristics i.e. largest degree and saturation degree were used within the nonlinear heuristic modifier to generate difficulty value of each examination, where it was modified nonlinearly whenever an examination cannot be scheduled in the previous iteration. Next, new ordering of examinations was obtained based on the new difficulty values and each examination was scheduled until a complete timetable is obtained. The nonlinear heuristic modifier is proposed to set a difficulty value of an examination within a nonlinear range, so that an effective estimation of examinations difficulty could be obtained. The Toronto benchmark datasets were used in the experiment where the aim is to obtain an examination schedule with minimum penalty value. It is found that the proposed method is comparable with other approaches, hence gives better examination ordering.
Keywords:	Examination Timetabling Problem; Nonlinear Heuristic Modifier; Graph Coloring Heuristics; Toronto Benchmark Datasets
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2017 -- Vol. 95. No. 20 -- 2017
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