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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
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An optimized method of partial discharge data retrieval technique for phase resolved pattern Eka Putra Waldi; Aulia Aulia; Ariadi Hazmi; Hairul Abral; Syukri Arief; Mohd Hafizi Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 1: March 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i1.2602

Abstract

The measurement of phase resolved partial discharge requires a gigantic memory capacity to store all the waves of the PD test results. This limitation eventually hinders the testing. It is necessary to optimize on the aspect of memory storage capability to reduce the storage requirements. In light of foregoing, the partial discharge data retrieval techniques with sampling rate methods were used to detect the peak of partial discharge as well as the PD constituent representatives. The optimization process was performed by using integration of oscilloscope and LabVIEW software. The partial discharge data recording can be easily confined to the points of the partial discharge occurrence only. As results, the storage points were reduced by taking wave magnitude associated with PD, thereby resulting in more representative data. Therefore, this optimized method was able to reduce the file size of the test results up to 97 percent of PD original size thereby decreasing the usage of hard disk storage.
A Dynamic Programming Approach to Energy-Efficient Scheduling on Multi-FPGA based Partial Runtime Reconfigurable Systems Chao Jing; Qi Song
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 1: March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i1.3878

Abstract

This paper has been studied an important issue of energy-efficient scheduling on multi-FPGA systems. The main challenges are integral allocation, reconfiguration overhead and exclusiveness and energy minimization with deadline constraint. To tackle these challenges, based on the theory of dynamic programming, we have designed and implemented an energy-efficient scheduling on multi-FPGA systems. Differently, we have presented a MLPF algorithm for task placement on FPGAs. Finally, the experimental results have demonstrated that the proposed algorithm can successfully accommodate all tasks without violation of the deadline constraint. Additionally, it gains higher energy reduction 13.3% and 26.3% than that of Particle Swarm Optimization and fully balanced algorithm, respectively.
Capacity Improvement and Protection of LTE Network on Ethernet Based Technique Fadli Sirait; Akhmad Wahyu Dani; Triyanto Pangaribowo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 1: February 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i1.7674

Abstract

High demands for data rates in mobile communications is the reason for developing broadband wireless access technologies. Long Term Evolution (4G LTE) networks which offer significantly higher data rates and require suitably higher capacity backhaul networks. To prepare for the high data rates usage in 4G LTE, operators are using ethernet services in terms of backhaul connectivity. Protection packet switching developed to anticipated network failure on ethernet based network technology. The failures in the network include the link fails to connect to each network element, the network element fails to transfer the data to the destination, or the quality drops below the standard. In this paper we used two ethernet based technique, namely Ethernet over SDH and MPLS-TP with ring protection to anticipated network failure on these techniques. Furthermore, we measured performance of network by measuring and comparing the throughput, latency and jitter between Ethernet over SDH and MPLS-TP. We used bandwidth capacity 240 Mbps as plant bandwidth link and worked in MIMO 2 2. The results of measurements indicated that MPLS-TP with ring protection is the best technique to enhanced the performance of LTE network.
E-dopt: A Mobile Application for Pet Adoption in Indonesia Santy Santy; Ryan Karuna; Alvin Budiman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 5: October 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i5.8074

Abstract

In this research, we discuss the current trend on pet adoption in Indonesia and introduce a mobile application called e-dopt to encourage more pet adoption in Indonesia. Pet adoption mobile application is not yet popular in Indonesia, thus the benefit of conducting this research. Within this research, a mobile application to help the pet adoption process has been developed. The mobile application is developed on Android platform and the requirements are gathered by interviews, surveys, and research that have been conducted. The mobile application developed provides convenience for those who wants to adopt or give out pets and also allows businesses in pet product industry to use the mobile application as a sales channel.
An artificial neural network approach for detecting skin cancer Sugiarti Sugiarti; Yuhandri Yuhandri; Jufriadif Na'am; Dolly Indra; Julius Santony
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.9547

Abstract

This study aims to present diagnose of melanoma skin cancer at an early stage. It applies feature extraction method of the first order for feature extraction based on texture in order to get high degree of accuracy with method of classification using artificial neural network (ANN). The method used is training and testing phases with classification of Multilayer Perceptron (MLP) neural network. The results showed that the accuracy of test image with 4 sets of training for image not suspected of melanoma and melanoma with the lowest accuracy of 80% and the highest accuracy of 88.88%, respectively. The 4 sets of training used consisted of 23 images. Of the 23 images used as a training consisted of 6 as not suspected of melanoma images and 17 as suspected melanoma images.
Electrode size influence on static and dynamic single cell lead-acid battery Muhammad Ghufron; Kurriawan Budi Pranata; Istiroyah Istiroyah; Masruroh Masruroh; Cholisina Anik Perwita; Ahmad A. Amirullah; Nur Khairati; Yofinda Eka Setiawan; Fakhrusy R. Ramadhan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.11913

Abstract

Renewable energy such as solar energy, waves and wind require batteries as a storage of electrical energy which still has constraints related to voltage, capacity, and energy efficiency. This experiment aims to determine the effect of electrode size on lead-acid dynamic and static battery capacity and energy efficiency. Dynamic and static single cell lead-acid batteries consist of three different electrode sizes, 13.5x7.5 cm2 (A1); 22.5x7.5 cm2 (A2) and 32.5x7.5 cm2 (A3) have been developed. Continuous and simultaneous charge-discharge test using turnigy accucell-6 50 w and chargemaster 2.02 software as graphic programming. Based on experiments, dynamic batteries perform better than static batteries with a difference in capacity of up to 48% and differences in energy efficiency up to 17%. The best performance is obtained on A3 dynamic batteries with an average capacity capacity of 10357 mAh and an average energy efficiency of 81%.
Ant-colony and nature-inspired heuristic models for NOMA systems: a review Law Poh Liyn; Hadhrami Ab. Ghani; Farah Najwa Roslim; Nur Asyiqin Amir Hamzah; Saeed Mohammed Abdulghani Mohammed; Nor Hidayati Abdul Aziz; Azlan Abd. Aziz; Tan Kim Geok; Azizul Azizan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.14995

Abstract

The increasing computational complexity in scheduling the large number of users for non-orthogonal multiple access (NOMA) system and future cellular networks lead to the need for scheduling models with relatively lower computational complexity such as heuristic models. The main objective of this paper is to conduct a concise study on ant-colony optimization (ACO) methods and potential nature-inspired heuristic models for NOMA implementation in future high-speed networks. The issues, challenges and future work of ACO and other related heuristic models in NOMA are concisely reviewed. The throughput result of the proposed ACO method is observed to be close to the maximum theoretical value and stands 44% higher than that of the existing method. This result demonstrates the effectiveness of ACO implementation for NOMA user scheduling and grouping.
Predicting the notch band frequency of an ultra-wideband antenna using artificial neural networks Lahcen Aguni; Samira Chabaa; Saida Ibnyaich; Abdelouhab Zeroual
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i1.15912

Abstract

In this paper we propose to predict the notch frequency of an ultra-wideband (UWB) antenna which operates in the frequency band from 3.85 GHz to 12.38 GHz. The prediction of the notch frequency in order to avoid interferences between (WLAN) IEEE802.11a and HIPERLAN/2 WLAN applications and UWB technology is achieved using the artificial neural networks (ANN) technique. The developed ANN is optimized with the help of K-fold cross validation method which allows us to divide the datasets into 10 subsets in the training phase. The simulated datasets are generated by controlling high frequency structural simulator (HFSS) from MATLAB using a VB script. The performance of the ANN technique is assessed using some statistical criteria. During the training process, the mean absolute percentage error (MAPE) between the simulated and the predicted ANN notch frequencies is 0,125. A comparison between simulated, theoretical, and ANN results has been achieved during the test and validation process, good accuracy is obtained between the simulated and the ANN predictions. The proposed UWB antenna exhibits a notch band from 5.1 GHz to 6.0 GHz with a notch frequency of approximately 5.51 GHz.
An Algorithm Based on Wavelet Neural Network for Garment Size Selection Luo Ronglei; He Wenjie; Li Chengyi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 4: December 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i4.788

Abstract

Size fitting problem is a main obstacle to large scale online garment sales.It is the difficult to customers to find the fit garments when they couldn’t try on. In this paper, we present an algorithm base on wavelet neural network to help customer choosing their clothing specifications automatically. After the reasonable wavelet function is selected, we established the model structure and the initial parameters. The wavelet neural network is trained by the body measures and the result of AHP algorithm after normalization. The new data are used to test the network. As a result, the error from wavelet neural network is smaller, and the prediction accuracy is proved than that from the algorithm based on traditional BP network.
PERANCANGAN PURWA RUPA MODULASI LEBAR PULSA BERBASIS TIMER 555 DAN IRF 40 Wahyu Sapto Aji
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 6, No 2: August 2008
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v6i2.556

Abstract

In many applications such of DC motor speed regulation commonly needed DC to DC voltage conversion. The method that frequently use for DC to DC conversion is using chopper circuit.  In chopper circuit a DC voltage source being chopped at constant frequency but with variable duty cycle (in this case it’s called as Pulse Width Modulation, PWM).  In this research a circuit chopper has been design successfully. The circuit uses 555 timer IC as PWM pulse shaper and IRF 40 power Mosfet as switch device. This circuit prototype successfully tested to drive a 12 watt DC motor at 1200 rpm with voltage at 12 V.

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