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TELKOMNIKA (Telecommunication Computing Electronics and Control)
Published by Universitas Ahmad Dahlan
ISSN : 16936930     EISSN : 23029293     DOI : 10.12928
Core Subject : Science,
Computer Science & IT
Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of submissions that TELKOMNIKA has received during the last few months the duration of the review process can be up to 14 weeks. Communication Engineering, Computer Network and System Engineering, Computer Science and Information System, Machine Learning, AI and Soft Computing, Signal, Image and Video Processing, Electronics Engineering, Electrical Power Engineering, Power Electronics and Drives, Instrumentation and Control Engineering, Internet of Things (IoT)
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 45 Documents
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Search results for , issue "Vol 13, No 4: December 2015" : 45 Documents clear
High Performance Computing on Cluster and Multicore Architecture Ahmad Ashari; Mardhani Riasetiawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2156

Abstract

High Performance Computing have several issues on architecture, resources, computational model and data. The challenge is establishing the mature architecture with scalable resources. The cluster architecture and multicore architecture implement to produce high performance on computation and process. This research works on architecture development and performance analysis. The cluster architecture build on Raspberry Pi, a single board computer, implement MPICH2. Raspberry Pi cluster build on Raspbian Wheezy operating system and test by metrics computation applications. The multicore architecture build on single computer with Core i5 and Core i7 architecture. The research use himeno98 and himeno16Large tools to analysis the processor and memory allocation. The test run on 1000x1000 matrices and benchmarked with OpenMP. The analysis focuses on CPU Time, FLOPS, and score. The result show on cluster architecture have 2576,07 sec in CPU Time, 86,96 MLPOS, and 2,69 score. The result on Core i5 architecture have 55,57 sec in CPU time, 76,30 MLOPS, and 0,92 score. The result in Core i7 architecture have 59,56 sec CPU Time, 1427,61 MLOPS, and 17,23 score. The cluster and multicore architecture results show that computing process are effected by architecture models. High performance computing architecture that has been built on this result can give learn on the development of HPC architecture models, and baseline performance. In the future it will use for determine the delivery architecture model on HPC and can be test by more variation of load.
A Novel Image Segmentation Algorithm Based on Graph Cut Optimization Problem Zhang Guang-hua; Xiong Zhong-yang; Li Kuan; Xing Chang-yuan; Xia Shu-yin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1178

Abstract

Image segmentation, a fundamental task in computer vision, has been widely used in recent years in many fields. Dealing with the graph cut optimization problem obtains the image segmentation results. In this study, a novel algorithm with weighted graphs was constructed to solve the image segmentation problem through minimization of an energy function. A binary vector of the segmentation label was defined to describe both the foreground and the background of an image. To demonstrate the effectiveness of our proposed method, four various types of images were used to construct a series of experiments. Experimental results indicate that compared with other methods, the proposed algorithm can effectively promote the quality of image segmentation under three performance evaluation metrics, namely, misclassification error rate, rate of the number of background pixels, and the ratio of the number of wrongly classified foreground pixels.
Classification of Non-Functional Requirements Using Semantic-FSKNN Based ISO/IEC 9126 Denni Aldi Ramadhani; Siti Rochimah; Umi Laili Yuhana
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2300

Abstract

Non-functional requirements is one of the important factors that play a role in the success of software development that is often overlooked by developers, so it cause adverse effects. In order to obtain the non-functional requirements, it requires an identification automation system of non-functional requirements. This research proposes an automation system of identification of non-functional requirements from the requirement sentence-based classification algorithms of FSKNN with the addition of semantic factors such as the term development by hipernim and measurement of semantic relatedness between the term and every category of quality aspects based ISO / IEC 9126. In the test, the dataset is 1342 sentences from six different datasets. The result of this research is that the Semantic-FSKNN method can reduce the value of hamming loss or error rate by 21.9%, and also raise the value of accuracy by 43.7%, and also the precision value amounted to 73.9% compared to FSKNN method without the addition of semantic factors in it.
Design and Implementation of Network Public Opinion Analysis System Ma Junhong; Liao Na
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2811

Abstract

Network public opinion analysis is an important way of information analysis processing. This paper based on the research of the related technologies, designs and realizes a new network public opinion analysis system. System mainly includes network data fetching part, fetching the data processing part, analyzes the processed data part and display part of the public opinion analysis results. In the document extraction part, used the web crawler technology, Larbin web crawler to realize the collection of web content; In public opinion information analysis part, the implementation of the new topic adopts an improved Single - Pass clustering algorithm. This algorithm is using of multi-center, using the title and body of the vector to compared two-way ,that is better reflect the dynamics of public opinion topics. Finally, in the network environment of a university, we have the tests repeatedly. The results show that the new public opinion analysis system running is stable and has good efficiency. The thesis has certain value for the development of other information analysis systems in the Internet.
A Neighbor-finding Algorithm Involving the Application of SNAM in Binary-image Representation Jie He; Hui Guo; Defa Hu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1899

Abstract

In view of the low execution efficiency and poor practicability of the existing neighbor-finding method, a fast neighbor-finding algorithm is put forward on the basis of Square Non-symmetry and Anti-packing Model (SNAM) for binary-image. First of all, the improved minor-diagonal scanning way is applied to strengthen SNAM’s adaptability to various textures, thus reducing the total number of nodes after coding; then the storage structures for its sub-patterns are standardized and a grid array is used to recover the spatial-position relationships among sub-patterns, so as to further reduce the complexity of the neighbor-finding algorithm. Experimental result shows that this method’s execution efficiency is significantly higher than that of the classic Linear Quad Tree (LQT)-based neighbor-finding method.
Comparing Performances of Evolutionary Algorithms on the Emission Dispatch and Economic Dispatch Problem A.N. Afandi; Irham Fadlika; Andoko Andoko
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.3166

Abstract

Evolutionary methods dominate in the computation for breaking out the real problems. For a couple of years, it is more popular than classical methods for solving many cases. Technically, one of real problems is the emission dispatch and economic dispatch (EDED) problem. The EDED problem is used to optimize the power system operation (PSO) at a certain time under some constraints. This paper presents performance comparison between Harvest Season Artificial Bee Colony (HSABC) and Genetic Algorithms on the EDED problem applied to the IEEE-62 bus system. Simulation results show that the tested methods have difference characteristics and abilities for optimizing the PSO based on the EDED problem.
Correlation of Student’s Precursor Emotion towards Learning Science Interest using EEG Norzaliza Md Nor; Abdul Wahab Bar; Sheikh Hussain Shaikh Salleh
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2737

Abstract

Mathematics and science are two important subjects for students to do well in school. Unfortunately majority of the students are having difficulties in coping with these subjects. Malaysia is ranked third lowest in the Program for International Student Assessment (PISA) for mathematics and science. An emotionally disturbed student seems to have problem coping with the learning of mathematics and science thus it is important to identify the demotivating factors affecting the performance of such students. In this paper, it analyze the correlation of precursor emotion towards student interest in learning mathematics and science using electroencephalogram (EEG) device. This correlation and their respective emotion can be analyzed based on the 2-D Affective Space Model (ASM) using four basic emotions of happiness, calmness, fear and sadness as reference stimuli. EEG device was used to extract brain waves signal while answering the mathematics and science questions. The EEG signals were captured on the scalp of the student and features extracted using Mel Frequency Cepstral Coefficient (MFCC). Neural network classifier of Multilayer Perceptron (MLP) was used to classify the valence and arousal axes for the ASM. Preliminary results show the relationship of precursor emotion and the dynamic emotions of the student while taking the mathematics and science test. We hope that these results can help us further relate the behavior and interest of students towards the learning of mathematics and science.
Service Engineering Based on Service Oriented Architecture Methodology Suhardi Suhardi; Robin Doss; Purnomo Yustianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2388

Abstract

Service Engineering (SE) and Service Oriented Architecture (SOA) originally reside on different plateaus of discipline. SE is defined as a set of activity introducing a new business service, while SOA is a technical approach to redefine an enterprise business processes as a set of IT enabled services. This paper proposes a SOA embedded SE framework as a comprehensive approach in re-defining business service and its IT implementation. After an introduction, a review of existing SE frameworks and SOA methodologies is presented in the paper. Afterward, a complete SE framework is proposed with several results on early case studies. A survey results are then presented to prove the usability and benefit of the proposed framework. The framework is designed and proposed to help practitioners and researchers to conduct service engineering by employing principles and methodology offered by SOA approach.
Modeling of Buck Converter Models in MPPT using PID and FLC Chandani Sharma; Anamika Jain
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1774

Abstract

PV has become universal for power utility applications in comparison to conventional technologies when it comes to economic competitiveness. As the efficiency of solar PV panel is low, it becomes mandatory to extract maximum power from the PV panel at any given period of time. Maximum Power and efficiency in Photovoltaics can be improved by Maximum Power Point tracking even under distributed temperature and irradiance functions. The paper attempts to compare two different Buck converter models based on predictive control. The two converter models using State space differential equation and direct component in MATLAB/SIMULINK are optimized through PID and FLC to obtain increased gain and desired converter output. A PV system connected with Buck converter using an intelligent controller (FLC) for extracting maximum power at different environmental conditions is proposed and the results are compared with conventional PID controller.
Design and Implementation of A Monitoring System for Geological Archives Sun Min
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.1357

Abstract

A monitoring system for geological archives with TCP/IP network communication is designed in this research to address wide distribution range, long distance, slow data updating, and difficult maintenance of city and county geological archives. The designed system uses the single chip STC11F32XE and the Ethernet control chip RTL8019AS as a hardware platform. The hardware design scheme, software design method, and the main programming flowchart of the geological archive monitoring unit were presented, and a specific data test was carried out. This monitoring system not only monitors and controls temperature, humidity, ponding, power supply, and other environmental data in geological archives, but also realizes geological data transmission between city (county) and provincial geological archives. In addition, this system is designed with a GSM warning mechanism, which could accelerate the quick response mechanism of the system. The entire monitoring system is accessed through the provincial environmental resources website with a fixed IP address. To ensure standardization of the monitoring system, the data transmission standard of the application layer used the associated standards of the Ministry of National Land and Resources. The entire system design improves the storage environment of the geological data effectively. It provides important data support to solve inconsistencies between provincial and city (county) geological data, as well as ensures scientific management of geological issues.

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