cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nizirwan Anwar
Contact Email
nizirwan.anwar@esaunggul.ac.id
Phone
-
Journal Mail Official
telkomnika@ee.uad.ac.id
Editorial Address
Ahmad Yani st. (Southern Ring Road), Tamanan, Banguntapan, Bantul, Yogyakarta 55191, Indonesia
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
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 28 Documents
 1   2   3 
Search results for , issue "Vol 12, No 1: March 2014" : 28 Documents clear
Cost and Benefit Analysis of Desulfurization System in Power Plant Zhang Caiqing; Liu Meilong
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.7

Abstract

The economy of desulfurization system is of great significance for operation of desulfurization system and improving the environment quality in power plant. Based on the desulfurization power price policy, this paper analyzes the cost and benefit structure of the wet flue gas desulfurization system in Chinese power plant; that puts forward the calculation methods of total cost present value, total benefits present value and net present value during the life period of desulphurization system. Moreover using Cost-benefit sensitivity analysis to find out that there is sensitivity relationship between power generation hour and desulphurizer price. By applies these methods, the result shows that the economy of desulfurization system is better under the current designed scheme. But with the reduced power hour and risen price of limestone, the current desulfurization system power price policy of China cannot compensate the running cost of the desulfurization system in power plant rationally, and leads to lower economy of desulfurization system.
Investigation of Wave Propagation to PV-Solar Panel Due to Lightning Induced Overvoltage Nur Hidayu Abdul Rahim; Zikri Abadi Baharudin; Md Nazri Othman; Zahriladha Zakaria; Mohd Shahril Ahmad Khiar; Nur Zawani Saharuddin; Azlinda Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.22

Abstract

Lightning produces extremely high voltages that generated induce overvoltage which have a high tendency to effect the electrical apparatus especially renewable energy plant that directly expose to this source. This study was performed through experimental work by investigating the effect of induce overvoltage upon the photovoltaic system. The induce voltage was performed by using lightning impulse generator. It is found that the maximum voltage of the unwanted signal is proportional with the distant of the specimen. The closer distant between solar panel material and spark discharge, the more serious effect would occur due to the induced overvoltage. 
Hierarchical Bayesian of ARMA Models Using Simulated Annealing Algorithm S. Suparman; Michel Doisy
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.12

Abstract

When the Autoregressive Moving Average (ARMA) model is fitted with real data, the actual value of the model order and the model parameter are often unknown. The goal of this paper is to find an estimator for the model order and the model parameter based on the data. In this paper, the model order identification and model parameter estimation is given in a hierarchical Bayesian framework. In this framework, the model order and model parameter are assumed to have prior distribution, which summarizes all the information available about the process. All the information about the characteristics of the model order and the model parameter are expressed in the posterior distribution. Probability determination of the model order and the model parameter requires the integration of the posterior distribution resulting. It is an operation which is very difficult to be solved analytically. Here the Simuated Annealing Reversible Jump Markov Chain Monte Carlo (MCMC) algorithm was developed to compute the required integration over the posterior distribution simulation. Methods developed are evaluated in simulation studies in a number of set of synthetic data and real data.
CAPBLAT: An Innovative Computer-Assisted Assessment for Problem-Based Learning Approach Muhammad Qomaruddin; Azizah Abdul Rahman; Noorminshah A. Iahad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.3

Abstract

This paper profiles the potential of developing and implementing Computer-Assisted Assessments (CAA) for helping lecturer in assessing students’ achievements on the Problem-Based Learning (PBL) Approach. PBL Assessment is typically formative; it includes delivery of feedback to the student, with the aim of improving their skills. The use of CAA in PBL gives advantages for both of lecturer and students by providing them with detailed formative feedback on their learning achievements compare to conventional assessment. It also reduces lectures tedious load by automating parts of the task of marking students’ work.  The methodology applied to this research was literature review and investigation of practitioners’ perception about assessment in PBL. The literatures showed that there are methods of assessments that have been used successfully in PBL, but the research selected five methods as PBL assessment framework; there are “Peer-assessment, Self-assessment, Group presentation, Individual activities, and Group report assessment”. The framework applied into the tool that encompasses the use of computer (called with CAPBLAT) for helping lecturer in assessing students’ achievements. In addition, the CAPBLAT helps to store assessment material, deliver assessment, and do auto-rating of the assessment result. The evaluation results concerning technology acceptance demonstrated that incorporating CAPBLAT can get better technology acceptance.
Improved Ambiguity-Resolving for Virtual Baseline Hailiang Song; Yongqing Fu; Xue Liu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.27

Abstract

A novel phase interferometer method based on virtual baseline is proposed for technical difficulty in resolving angle ambiguity and antenna layout. In this method, only two baselines are set to solve the problem of angle ambiguity. In high noise areas, there are large numbers of outliers which lead to angle error in the measured data, and a way to detect and eliminate the outliers is applied to improve the effect of solving ambiguity. The simulation results show that the improved method could effectively correct the error of fuzzy phase difference and increase the probability of ambiguity-resolving. Duo to its simple equipment and easy to implement, the proposed method might have certain guiding significance to engineering application.
Two Text Classifiers in Online Discussion: Support Vector Machine vs Back-Propagation Neural Network E. Erlin; R. Rahmiati; Unang Rio
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.17

Abstract

The purpose of this research is to compare the performance of two text classifiers; support vector machine (SVM) and back-propagation neural network (BPNN) within categorize messages from an online discussion. SVM has been recognized as one of the best algorithm for text categorization. BPNN is also a popular categorization method that can handle linear and non linear problems and can achieve good result. However, using SVM and BPNN in online discussion is rare. In this research, several SVM data are trained in multi-class categorization to classify the same set with BPNN. The effectiveness of these two text classifiers are measured and then statistically compared based on error rate, precision, recall and F-measure. The experimental result shows that for text message categorization in online discussion, the performances of SVM outperform BPNN in term of error rate and precision; and falls behind BPNN in term of recall and F-measure.
The Analysis and Application on a Fractional-Order Chaotic System Ye Qian; liang Ling Liu
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.8

Abstract

An integral-order hyperchaotic system with four-dimension is expanded to be a fractional-order system whose chaotic behaviors are analyzed, Firstly, based on the stability theory of fractional-order linear system and the thinking of tracking control, a synchronization method for two fractional-order systems with different structures is proposed, and an analytic expression for synchronization controller is given. Secondly, taking the extended fractional-order system and R?ssler hyperchaotic system as example, the synchronization between them is numerical simulated. Finally, the proposed synchronization method is applied to encrypt and decrypt digital images. The simulation results show that the lowest order that extended fractional-order system appears chaos is 3.2, and this method has many advantages for encrypting and decrypting digital images, such as sensitive secret keys, random uniform distribution of pixels and low correlation between adjacent pixels.
A New Control Curve Method for Image Deformation Hong-an Li; Jie Zhang; Lei Zhang; Baosheng Kang
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.23

Abstract

Different from the direct deformation on the image,we propose a deformation method using wavelet filter and control curves. Firstly, the original image is filtered into a high-frequency subimage and a low-frequency subimage by the wavelet, and the low-frequency subimage is deformed use the moving least squares and the control curves.Then, the key points are set to create control curves according to shape information or deformation requirement, and moved to new position to deform the image using moving least squares. At last, the final deformation image can be obtained by adding the deformed low-frequency part to the high-frequency part. Experiments show that the proprosed method performs very well to preserve high-frequency detail information and describe the image shape and contour, so can obtain the satisfactory and realistic deformation results.
Integrated Vehicle Accident Detection and Location System Md. Syedul Amin; Mamun Bin Ibne Reaz; Salwa Sheikh Nasir
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.13

Abstract

Many accident victim lives could have been saved if vehicle accident information could be intimated to an evergencey rescue center automatically. This paper proposes an accident detection and location system by determining the deceleration and data fusion from accelerometers and GPS. The bias, drift and noise errors of accelerometers and GPS outage limitation are overcome by integrating with Kalman filter. The test result shows the correct deceleration for accident detection and location. The proposed system will be able to overcome the limitations of GPS/IMU and save valuable human lives.
Plagiarism Detection through Internet using Hybrid Artificial Neural Network and Support Vectors Machine Imam Much Ibnu Subroto; Ali Selamat
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 1: March 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i1.4

Abstract

Currently, most of the plagiarism detections are using similarity measurement techniques. Basically, a pair of similar sentences describes the same idea. However, not all like that, there are also sentences that are similar but have opposite meanings. This is one problem that is not easily solved by use of the technique similarity. Determination of dubious value similarity threshold on similarity method is another problem. The plagiarism threshold was adjustable, but it means uncertainty. Another problem, although the rules of plagiarism can be understood together but in practice, some people have a different opinion in determining a document, whether or not classified as plagiarism. Of the three problems, a statistical approach could possibly be the most appropriate solution. Machine learning methods like k-nearest neighbors (KNN), support vector machine (SVM), artificial neural networks (ANN) is a technique that is commonly used in solving the problem based on statistical data. This method of learning process based on statistical data to be smart resembling intelligence experts. In this case, plagiarism is data that has been validated by experts. This paper offers a hybrid approach of SVM method for detecting plagiarism. The data collection method in this work using an Internet search to ensure that a document is in the detection is up-to-date. The measurement results based on accuracy, precision and recall show that the hybrid machine learning does not always result in better performance. There is no better and vice versa. Overall testing of the four hybrid combinations concluded that the hybrid ANN-SVM method is the best performance in the case of plagiarism.

Page 2 of 3 | Total Record : 28

 1   2   3 

Filter by Year

2014 2014


Reset
Filter By Issues
All Issue Vol 20, No 3: June 2022 Vol 20, No 2: April 2022 Vol 20, No 1: February 2022 Vol 19, No 6: December 2021 Vol 19, No 5: October 2021 Vol 19, No 4: August 2021 Vol 19, No 3: June 2021 Vol 19, No 2: April 2021 Vol 19, No 1: February 2021 Vol 18, No 6: December 2020 Vol 18, No 5: October 2020 Vol 18, No 4: August 2020 Vol 18, No 3: June 2020 Vol 18, No 2: April 2020 Vol 18, No 1: February 2020 Vol 17, No 6: December 2019 Vol 17, No 5: October 2019 Vol 17, No 4: August 2019 Vol 17, No 3: June 2019 Vol 17, No 2: April 2019 Vol 17, No 1: February 2019 Vol 16, No 6: December 2018 Vol 16, No 5: October 2018 Vol 16, No 4: August 2018 Vol 16, No 3: June 2018 Vol 16, No 2: April 2018 Vol 16, No 1: February 2018 Vol 15, No 4: December 2017 Vol 15, No 3: September 2017 Vol 15, No 2: June 2017 Vol 15, No 1: March 2017 Vol 14, No 4: December 2016 Vol 14, No 3: September 2016 Vol 14, No 2: June 2016 Vol 14, No 1: March 2016 Vol 13, No 4: December 2015 Vol 13, No 3: September 2015 Vol 13, No 2: June 2015 Vol 13, No 1: March 2015 Vol 12, No 4: December 2014 Vol 12, No 3: September 2014 Vol 12, No 2: June 2014 Vol 12, No 1: March 2014 Vol 11, No 4: December 2013 Vol 11, No 3: September 2013 Vol 11, No 2: June 2013 Vol 11, No 1: March 2013 Vol 10, No 4: December 2012 Vol 10, No 3: September 2012 Vol 10, No 2: June 2012 Vol 10, No 1: March 2012 Vol 9, No 3: December 2011 Vol 9, No 2: August 2011 Vol 9, No 1: April 2011 Vol 8, No 3: December 2010 Vol 8, No 2: August 2010 Vol 8, No 1: April 2010 Vol 7, No 3: December 2009 Vol 7, No 2: August 2009 Vol 7, No 1: April 2009 Vol 6, No 3: December 2008 Vol 6, No 2: August 2008 Vol 6, No 1: April 2008 Vol 5, No 3: December 2007 Vol 5, No 2: August 2007 Vol 5, No 1: April 2007 Vol 4, No 3: December 2006 Vol 4, No 2: August 2006 Vol 4, No 1: April 2006 Vol 3, No 3: December 2005 Vol 3, No 2: August 2005 Vol 3, No 1: April 2005 Vol 2, No 1: April 2004 More Issue