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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 2,614 Documents
 187   188   189   190   191 
Control Synthesis for Marine Vessels in Case of Limited Disturbances Mikhail Smirnov; Maria A. Smirnova
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 2: April 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i2.7180

Abstract

In view of rapid development of computer technology digital systems of automatic control are installed on the modern marine vessels for performance of various manoeuvres at optimal trajectories taking into account features of the ship and active disturbances. In this connection, great number of problems that deal with construction of automatic control systems, such as minimizing the fulfillment time of the maneuver, searching for the optimal trajectory, the suppression of various types of exogenous disturbances like wind and rough sea, arises. In the work, the problem of suppression of exogenous disturbances acting on a marine vessel, about which we have no information except its boundedness, is considered. The problem of searching of the controller as a static state feedback is the basis of offered approach. The system MATLAB-Simulink is accepted as the basic tool of the computer support. An example of modeling control system for the carrier is presented.
Assessing students’ continuance intention in using multimedia online learning Taqwa Hariguna; Akmal Akmal
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.10328

Abstract

The study aimed to assess the students’ continuance intention (SCI) in using multimedia online learning including students’ perceived usefulness (SPU), students’ ease of use (SPE), and students’ flow experience (SFE). There is no,so far, the assessment of students’ activity in using multimedia online learning within the extended Technology Acceptance Model (TAM).This study revealed the students’ continuance intentions in using online lessons.There were 523 students as the samples. They learned and examined the content of online English learning resources as well as multimedia aspects.TAM was used to predict the SCI. The results indicate that the students’ intentions are influenced positively by perceived usefulness, ease of use, and the flow experience. The SPU influenced more students’ motivation than SPE. It is recommended that designers of online learning should be more specific in determining target users. The online learners’ skill on ICT, pedagogical principles, and technological barrier in different region are among the determinant aspects for receiving positive enduring intention.
Dominated destinations of tourist inside Iraq using personal information and frequency of travel Rula Amjed; Muayad Sadik Croock
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 4: August 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i4.11956

Abstract

Tourism today is one of the most important economic and social sectors in the world, which plays a prominent role in the development of countries. This importance has grown as an industry through the social media networks.In this paper, a proposed method has been introduced distinguish the main factors that impact the Frequency of Travel (FoT) among Iraq local tourists. Application (API) graphics and scrapy are utilized to collect information from TripAdvisor social network in a period of (2015-2018). The collected information are reprocessed and coded for the specified nominal data using tied rank. It is important to note that the adopted technique does not lose any data about the attribute and brings different properties beforehand obscure. Data mining ordinal logistic regression is used to extract user's behavior upon local tourism in Iraq. The expected outcome of this work is to discover out the effect of personal information and the type of places on the selection of the local touristic places in Iraq. The collected information was exploited to know the preferred local touristic trends, because there are no statistics on the number of domestic tourists in Iraq. The proposed model was used for analyzing personal information and types of preferred tourism places as a factors affecting frequency of travel in Iraq. The obtained results show the prediction of preferred touristic places by tourists in Iraq.
HAR-MI method for multi-class imbalanced datasets H. Hartono; Yeni Risyani; Erianto Ongko; Dahlan Abdullah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14818

Abstract

Research on multi-class imbalance from a number of researchers faces obstacles in the form of poor data diversity and a large number of classifiers. The Hybrid Approach Redefinition-Multiclass Imbalance (HAR-MI) method is a Hybrid Ensembles method which is the development of the Hybrid Approach Redefinion (HAR) method. This study has compared the results obtained with the Dynamic Ensemble Selection-Multiclass Imbalance (DES-MI) method in handling multiclass imbalance. In the HAR-MI Method, the preprocessing stage was carried out using the random balance ensembles method and dynamic ensemble selection to produce a candidate ensemble and the processing stages was carried out using different contribution sampling and dynamic ensemble selection to produce a candidate ensemble. This research has been conducted by using multi-class imbalance datasets sourced from the KEEL Repository. The results show that the HAR-MI method can overcome multi-class imbalance with better data diversity, smaller number of classifiers, and better classifier performance compared to a DES-MI method. These results were tested with a Wilcoxon signed-rank statistical test which showed that the superiority of the HAR-MI method with respect to DES-MI method.
Spectral opportunity selection based on the hybrid algorithm AHP-ELECTRE Carlos Perdomo; Cesar Hernandez; Diego Giral
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 6: December 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i6.16372

Abstract

Due to an ever-growing demand for spectrum and the fast-paced developmentof wireless applications, technologies such as cognitive radio enablethe efficient use of the spectrum. The objective of the present article is todesign an algorithm capable of choosing the best channel for data transmission.It uses quantitative methods that can modify behavior by changing qualityparameters in the channel. To achieve this task, a hybrid decision-makingalgorithm is designed that combinesanalytical hierarchy process(AHP)algorithms and adjusts the weights of each channel parameter, using a prioritytable. TheElimination Et Choix Tranduisant La Realité(ELECTRE)algorithm processes the information from each channel through a weightmatrix and then delivers the most favorable result for the transmitted data. Theresults reveal that the hybrid AHP-ELECTRE algorithm has a suitableperformance, which improves the throughput rate by 14% compared to similaralternatives.
Levenberg-Marquardt Recurrent Networks for Long-Term Electricity Peak Load Forecasting Yusak Tanoto; Weerakorn Ongsakul; Charles O.P. Marpaung
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 2: August 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v9i2.696

Abstract

 Increasing electricity demand in Java-Madura-Bali, Indonesia, must be addressed appropriately to avoid blackout by determining accurate peak load forecasting. Econometric approach may not be sufficient to handle this problem due to limitation in modelling nonlinear interaction of factors involved. To overcome this problem, Elman and Jordan Recurrent Neural Network based on Levenberg-Marquardt learning algorithm is proposed to forecast annual peak load of Java-Madura-Bali interconnection for 2009-2011. Actual historical regional data which consists of economic, electricity statistic and weather during 1995-2008 are applied as inputs. The networks structure is firstly justified using true historical data of 1995-2005 to forecast peak load of 2006-2008. Afterwards, peak load forecasting of 2009-2011 is conducted subsequently using actual historical data of 1995-2008. Overall, the proposed networks shown better performance compared to that obtained by Levenberg-Marquardt-Feedforward network, Double-log Multiple Regression, and with projection by PLN for 2006-2010.
Neural Network Adaptive Control for X-Y Position Platform with Uncertainty Zhang Wenhui
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.v12i1.9

Abstract

An improvement neural network adaptive control strategy is put forward for X-Y position platform with uncertainty by the paper. Firstly, dynamics model of X-Y position platform is established. Then, RBF neural network with good learning ability is used to approach non-linear system. The early period control accuracy of the problem is considered by the paper, because good precision in the early period is difficult to be obtained by neural network controller, so PID controller is designed to compensate control. An improvement dynamic optimization adjustment algorithm of network weights is designed to speed up the learning speed. Simulation results show that the control method is more effective to improve the control precision and real-time and has a good application value.
PENGENDALI MOTOR INDUKSI SATU FASA DENGAN INVERTER UPWM BERBASIS FPGA Joko Purwanto; Andi Martanto; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 5, No 2: August 2007
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v5i2.1346

Abstract

Frekuensi dan tegangan catu daya adalah dua komponen utama dalam sebuah sistem pengendali motor induksi. Pengendali yang banyak dikembangkan menggunakan inverter dengan metode PWM (Pulse Width Modulation). Keuntungan pembangkitan sinyal PWM berbasis FPGA dibandingkan dengan menggunakan DSP (Digital Signal Processing) dan mikrokontroler  adalah dapat memenuhi tuntutan kecepatan operasi. Penelitian ini bertujuan merancang sebuah pembangkit sinyal UPWM (Uniform Pulse Widtah Modulation) sebagi pengendali inverter satu fasa untuk mengatur kecepatan motor induksi satu fasa. Rancangan dibuat melalui metode penggambaran skematik  dengan perangkat lunak MAX+Plus II Baseline versi 10.2. Rancangan selanjutnya di-compile dengan MAX+Plus II compiler dan diverifikasi dengan MAX+ Plus II Simulator,  kemudian dikonfigurasikan secara perangkat keras pada FPGA Altera ACEX1K50TC144-3. Hasil rancangan digunakan sebagai penggerak rangkaian inverter satu fasa dengan beban sebuah motor induksi. Rangkaian inverter dirancang menggunakan MOSFET SK 727 dengan tegangan masukan DC sebesar 127 V. Plant motor induksi satu fasa yang digunakan pada penelitian ini adalah model Z-406, 125/220, 50 Hz. Hasil penelitian menunjukkan bahwa rancangan sinyal UPWM dapat diwujudkan dalam bentuk hardwere logic pada FPGA dan dapat digunakan untuk men-drive inverter sebagai pengendali motor induksi satu fase. Pengaturan kecepatan pada range 289-1466 rpm.
Object Recognition Based on Maximally Stable Extremal Region and Scale-Invariant Feature Transform Hongjun Guo; Lili Chen
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 2: June 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i2.2754

Abstract

For the defect in describing affine and blur invariable of scale-invariant feature transform (SIFT) at large viewpoint variation, a new object recognition method is proposed in this paper, which used maximally stable extremal region (MSER) detecting MSERs and SIFT describing local feature of these regions. First, a new most stability criterion is adopt to improve the detection effect at irregular shaped regions and under blur conditions; then, the local feature descriptors of MSERs is extracted by the SIFT; and finally, the method proposed is comparing then correct rate of SIFT and the proposed through image recognition with standard test images. Experimental results show that the method proposed can still achieve more than 74% recognition correct rate at different viewpoint, which is better than SIFT.
Autism Spectrum Disorders Gait Identification Using Ground Reaction Forces Che Zawiyah Che Hasan; Rozita Jailani; Nooritawati Md Tahir; Rohilah Sahak
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.6143

Abstract

 Autism spectrum disorders (ASD) are a permanent neurodevelopmental disorder that can be identified during the first few years of life and are currently associated with the abnormal walking pattern. Earlier identification of this pervasive disorder could provide assistance in diagnosis and establish rapid quantitative clinical judgment. This paper presents an automated approach which can be applied to identify ASD gait patterns using three-dimensional (3D) ground reaction forces (GRF). The study involved classification of gait patterns of children with ASD and typical healthy children. The GRF data were obtained using two force plates during self-determined barefoot walking. Time-series parameterization techniques were applied to the GRF waveforms to extract the important gait features. The most dominant and correct features for characterizing ASD gait were selected using statistical between-group tests and stepwise discriminant analysis (SWDA). The selected features were grouped into two groups which served as two input datasets to the k-nearest neighbor (KNN) classifier. This study demonstrates that the 3D GRF gait features selected using SWDA are reliable to be used in the identification of ASD gait using KNN classifier with 83.33% performance accuracy. 

Page 189 of 262 | Total Record : 2614

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