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IJoICT (International Journal on Information and Communication Technology)
Published by Universitas Telkom
ISSN : -     EISSN : 23565462     DOI : -
Core Subject : Science,
Computer Science & IT
International Journal on Information and Communication Technology (IJoICT) is a peer-reviewed journal in the field of computing that published twice a year; scheduled in December and June.
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2016): June 2016" : 6 Documents clear
Sliced Coordinate List Implementation Analysis on Sparse Matrix-Vector Multiplication Using Compute Unified Device Architecture fitriyani fitriyani
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.21.71

Abstract

Matrices are one of the most used data representation form from real-world problems. Lot of matrix was formed very big but sparse, hence information inside the matrix is relatively small compared to its size. This caused into heavy computational resources needed to process those matrices within short time. One of the solutions to do an efficient process to the sparse matrix is to form it into a specialized form of sparse matrix, such as Sliced Coordinate List (SCOO). SCOO format for sparse matrix has been developed and combined within an implementation using Compute Unified Device Architecture (CUDA). In this research, performance of SCOO implementation using GPU – CUDA will be compared to the other sparse matrix format named Coordinate List (COO) based on its memory usage and execution time. Results obtained from this research show that although SCOO implementation for sparse matrix use memory 1.000529 larger than COO format, its serial performance is 3.18 faster than serial COO, besides that, if SCOO implementation is conducted parallel using GPU – CUDA then its performance can be achieved around 123.8 faster than parallel COO or 77 times faster than parallel COO using one of the available library for CUDA, named CUSP.
Sentiment Analysis on Twitter about the Use of City Public Transportation Using Support Vector Machine Method veronikha effendy
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.21.85

Abstract

Traffic jams that occur in big cities in Indonesia due to the increased use of private vehicles. One solution to overcome this problem is to increase the use of public transport. But, the existing public transport is still not much in demand by the community. Some people express their opinions regarding the use of city public transportation via Twitter.  The opinions can be processed as a sentiment analysis to determine the positive opinions and negative opinions. The opinion will then be analyzed to determine factors that are the main cause of the ineligibility use of public transport as well as the factors that make the public choose to use this type of transport. By upgrading of facilities and services based on the results of sentiment analysis, it is expected that people will switch to use city public transportation, which would reduce the traffic jam.  This research used SVM method to process sentiment analysis. The result has shown SVM accuracy reaches 78.12%, which indicates that the results of this reserach deserve to be considered.
Numerical Simulation of MEMS Technology Integrated in a Small-Caliber Projectile Dede Tarwidi
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.21.73

Abstract

In this paper, numerical simulation of small-caliber projectile during external ballistic is presented. This work is aimed to find safe location to install microelectromechanical system (MEMS) inside a small-caliber projectile based on history and distribution of temperature. The MEMS technology is applied to increase performance of the projectile and it must be protected from damage due to high temperature during internal and external ballistic. Heat conduction equation in cylindrical domain is used to describe transient temperature of smallcaliber projectile. Finite element method with the appropriate boundary conditions is adopted to solve the heat conduction equation and to obtain temperature distribution inside projectile. Numerical results show that heat transfer behavior of the projectile at any point is greatly affected by the value of thermal conductivity of material while the external convection does not significantly affect to the heat distribution. The maximum temperatures obtained from temperature history are below threshold value of MEMS damage that is 71℃. The MEMS technology can be installed anywhere inside the projectile except at the rear surface of the projectile which experienced friction with the inner surface of gun barrel during internal ballistics.
Recommendation of Information Architecture Design on Higher Education Institution Website Using Card Sorting Approach on Goal-Directed Design Method Mira Kania Sabariah
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.21.79

Abstract

From the beginning of its discovery, website has been improving its function, one of which is as publication media. Also in the world of education, most of higher education institution employ the website to publish their school and to offer related information to their user. However, many disputes come to the user when using the website due to lack of both usability standard and information architecture design. Thus, this research focuses on a standard of information architecture design which is user-oriented to improve 5 aspects of website usability of the institution. Card sorting is used to arrange the information architecture in line with user expectation while goal-directed design functions to design user interface based on user’s goal. The conducted test is Usability Test which has formerly been undertaken on the research. The usability value of students and their parents who use higher education institution website designed by Card Sorting Method can be improved to 71.2% which is higher than the average standard. That is means, user involvement in defining the information architecture is very important for website usability can be achieved.
Levenberg-Marquardt Neural Network for Eye States Detection Based on Electroencephalography Data Untari Novia Wisesty
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.21.72

Abstract

The eye state detection is one of various task toward Brain Computer Interface system. The eye state can be read in brain signals. In this paper use EEG Eye State dataset (Rosler, 2013) from UCI Machine Learning Repository Database. Dataset is consisting of continuous 14 EEG measurements in 117 seconds. The eye states were marked as “1” or “0”. “1” indicates the eye-closed and “0” the eye-open state. The proposed schemes use Multi Layer Neural Network with Levenberg Marquardt optimization learning algorithm, as classification method.  Levenberg Marquardt method used to optimize the learning algorithm of neural network, because the standard algorithm has a weak convergence rate. It is need many iterations to have minimum error. Based on the analysis towards the experiment on the EEG dataset, it can be concluded that the proposed scheme can be implemented to detect the Eye State. The best accuracy gained from combination variable sigmoid function, data normalization and number of neurons are 31 (95.71%) for one hidden layer, and 98.912% for two hidden layers with number of neurons are 39 and 47 neurons and linear function.
Conversational Recommender System with Explanation Facility Using Semantic Reasoning Nur Rahmawati; zk abdurahman baizal; Mahmud Imrona
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 1 (2016): June 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.21.64

Abstract

Conversational recommender system is system that provides dialogue as user guide to obtain information from the user, in order to obtain preference for products needed. This research implements conversational recommender system with knowledge-based in the smartphone domain with an explanation facility. The recommended products are obtained based on the functional requirements of the user. Therefore, this study use ontology model as a knowledge to be more flexible in finding products that is suitable with the functional requirements of the user that is by tracing a series of semantic based on relationships in order to obtain the user model. By exploiting the relationship between instances of user models, the explanation facility generated can be more natural. Our filtering method uses semantic reasoning with inference method to avoid overspecialization. The evaluation show that the performance of our recommender system with explanation facilities is more efficient than the recommendation system without explanation facility, that can be seen from the number of iterations. We also notice that our system has accuracy of 84%.

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