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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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Endocardial Border Detection Using Radial Search and Domain Knowledge Yong Chen; DongC 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.v12i1.11

Abstract

The ejection fraction rate is a frequently used parameter when treating patients who suffered from heart disease. However, the measurement of this ejection rate depends on manual segmentation of left ventricle cavity in the end-systolic and end-diastolic phases. This paper proposes a semi-automatic algorithm for the detection of left ventricular border in two dimensional long axis ultrasound echocardiographic images. First, we apply a preprocessing filter to the ultrasound for the sake of speckle reduction. Then the knowledge of the anatomical structure of human heart and local homogeneity of blood pool is being used to detect the border of left ventricle. The proposed method evaluates 80 ultrasound images from four healthy volunteers and the generated contours are compared with contours manually drawn by an expert. The measured Dice Metric and Hausdorff Distance recorded by the proposed algorithm are 85.1% ± 0.4% and 3.25 ± 0.46 mm respectively. The numerical results reported in this paper indicate that the proposed algorithm is able to correctly segment the left ventricle cavity and can be used as an alternative to manual contouring of left ventricle cavity from ultrasound images.
A Low Cost C8051F006 SoC-Based Quasi-Static C-V Meter for Characterizing Semiconductor Devices Endah Rahmawati; Riska Ekawita; Maman Budiman; Mikrajuddin Abdullah; Khairurrijal Khairurrijal
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 4: December 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i4.862

Abstract

Based on a C8051F006 SoC (system on-a-chip), a simple and low cost quasi-static capacitance-voltage (C-V) meter was designed and developed to obtain C-V characteristics of semiconductor devices. The developed C-V meter consists of a capacitance meter, a programmable voltage source, a C8051F006 SoC-based slave controller, and a personal computer (PC) as a master controller. The communication between the master and slave controllers is facilitated by the RS 232 serial communication. The accuracy of the C-V meter was guaranteed by the calibration functions, which are employed by the program in the PC and obtained through the calibration processes of analog to digital converter (ADC), digital to analog converters (DACs) of the C8051F006 SoC, and the programmable voltage source. Examining 33-pF and 1000-pF capacitors as well three different p-n junction diodes, it was found that the capacitances of common capacitors are in the range of specified values and typical C-V curves of p-n junction diodes are achieved.
SIMULATOR LENGAN ROBOT ENAM DERAJAT KEBEBASAN MENGGUNAKAN OPENGL Balza Achmad; Musthofa Sunaryo; Agus Arif
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 6, No 3: December 2008
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v6i3.569

Abstract

A robot simulator has been developed, that capable in simulating a 6 degree of freedom robot manipulator. Using this simulator, a user can define the type and angular range of the joints, and length of each link, as well as the colors. User can also select an arbitrary viewing angle and move the robot manually or automatically. The simulator was developed using C++ programming language utilizing OpenGL graphic library. Denavit-Hartenberg notation was used as parameters to specify the shape and size of the manipulator.
Research on Particle Filter Based on Neural Network for Receiver Autonomous Integrity Monitoring Ershen Wang; Qing Zhang; Tao Pang; Qu Pingping; Xingkai Li
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.v14i1.2359

Abstract

This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index.According to the measurement noise feature of GPS receiver and the degeneracy phenomenon of particle filter (PF), in order to alleviate the sample impoverishment problem for PF, GPS receiver autonomous integrity monitoring (RAIM) algorithm based on PF algorithm combining neural network was proposed, which was used to improve the importance state adjustment of particle filter algorithm. The PF algorithm based on neural network is analized. And the test statistic of satellite fault detection is set up. The satellite fault detection is undertaken by checking the cumulative log-likelihood ratio (LLR) of system state of GPS receiver.The proposed algorithm was Validated by the measured real raw data from GPS receiver, which are deliberately contaminated with the bias fault and ramp fault, the simulation results demonstrate that the proposed algorithm can accurately estimate the state of GPS receiver in the case of non-Gaussian measurement noise, effectively detect and isolate fault satellite by establishing log-likelihood ratio statistic for consistency test and improve the accuracy of detection performance.
Research on Steer-by-Wire System in Electric Vehicle Zhang Yonghui; Chen Dingyue; Yu jiayu; Wang Yue; Chen Lihao; Chen junyu
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.v15i1.4449

Abstract

This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexSteer-by-wire (SBW) system in electric vehicle replaces the mechanical connection between steering wheel and front wheels with cable in the traditional steering system, which overcomes the limitations of the traditional steering system for the drivers. It is a hot research topic in the field of new energy vehicles in the future. The proposed new structure of SBW in electric vehicle is introduced; its integrated control strategy consists of three modules. A coordinated control determines the body forces/moment required to achieve electric vehicle motion objectives. The body forces/moment are allocated to braking and steering subsystems based on phase plane notion. The coordination of these actuators is achieved through the controller of the feedback gains with respect to electric vehicle speed. The gain scheduled steering controller provides the desired yaw rate damping while keeping the yaw-lateral motion decoupled. The simulation test results show the effectiveness of the proposed architecture and steering control system when the SBW in electric vehicle is subject to critical driving situations. Our work provided a reference for further research of SBW system.  
The Toolkit of Success Rate Calculation of Broiler Harvest Ahmad Sanmorino; Rendra Gustriansyah; Terttiaavini Terttiaavini; Isabella Isabella
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.6744

Abstract

Failed in the harvest should be avoided by the owners of broiler farms. Various ways are done to make the harvest successful and make a profit. Preparations made before the period of broiler development can be done optimally, with the hope that the harvest is successful. But the problem, on the field in fact not as smooth as had been planned at the beginning or before the development period. There is always a lack or inappropriate so that the harvest is not optimal or even harvest failure. Based on the background that has been described, we tried to create a toolkit that can be used to calculate success rate of the broiler harvest. With this toolkit, broiler farm owners are expected to have a guide and can make the right move in the period of broiler development. To calculate the success rate of broiler harvest, we used a model based on the performance index calculation. Toolkit that created running on local network environment using an Apache web server. The Toolkit uses JavaScript library to display the calculation results in the form of charts that are easier to understand. Based on the results of testing that has been done, this toolkit can perform calculations in a relatively short time. Can present the results of calculations with accurate information. The accuracy of success rate calculation toolkit reached 90%. It is obtained by comparing the performance index and the total weight of broiler that obtained when harvested.
Economic Load Dispatch with Valve-point Effect Using Bacterial Foraging Algorithm Muhammad Ridha Fauzi; Rahmad Al Rian
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.v16i5.7717

Abstract

Fuel is the most cost component of thermal power generation. The output power of each plant should not exceed the needs of the consumer's load. Unoptimal generation between generating units can cause power losses along the transmission line so that the fuel drain is large enough. The purpose of this study was to determine the optimal power output combination of each generating unit and determine the minimum total fuel cost of the combined power output of the plant by taking into account the valve-point effect and the operational constraint (economic load dispatch). The Newton-Raphson method is used to calculate the transmission line power losses. In this research, Bacterial Foraging Algorithm (BFA) optimization method is proposed to solve the problem of economic load dispatch. This method uses natural selection of optimum global bacterium which has a good food search strategy in the fitness function. The effectiveness of BFAs is tested on IEEE 5 bus 3 generatorsystem and IEEE 30 bus 6 generator system. The results of this proposed method show the optimal value of both generating systems.
Voice recognition system for controlling electrical appliances in smart hospital room Eva Inaiyah Agustin; Riky Tri Yunardi; Aji Akbar Firdaus
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.v17i2.11781

Abstract

Nowadays, most hospitals have new problem that is lack of medical nurse due to the number of patient increas rapidly. The patient especially with physical disabilities are difficult to control the switch on electrical appliances in patient’s room. This research aims to develope voice recognition based home automation and being applied to patient room. A miniature of patient’s room are made to simulate this system. The patient's voice is received by the microphone and placed close to the patient to reduce the noise.V3 Voice recognition module is used to voice recognition process. Electrical bed of patient is represented by mini bed with utilising motor servo. The lighting of patient room is represented by small lamp with relay. And the help button to call the medical nurse is represented by buzzer. Arduino Uno is used to handle the controlling process. Six basic words with one syllable are used to command for this system. This system can be used after the patient's voice is recorded. This system can recognize voice commands with an accuracy 75%. The accuracy can be improved up to 85% by changing the voice command into two syllables with variations of vowels and identical intonation. Higher accuracy up to 95% can be reached by record all the subject’s voice.
Recognition system for facial expression by processing images with deep learning neural network Holman Montiel Ariza; Henry Hernández Martínez; Luz Andrea Gaviria Roa
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.v17i6.12948

Abstract

The recognition systems of patterns in images are mechanisms that filter the information that provides an image to highlight the area of interest for the user. Usually, these mechanisms are based on mathematical transformations that allow the processor to perform interpretations based on the geometry or shape of the image. However, the strategies that implement mathematical transformations are limited, since the effectiveness of these techniques is reduced by changing the morphology or resolution of the image. This paper presents a partial solution to this limitation with a digital image processing technique based on a deep learning neural network (DNN). This technique incorporates a mechanism that allows the DNN to determine the facial expression of a person, based on the segmented information of the image of their face. By segmenting the image and processing its characteristics in parallel, the proposed technique increases the effectiveness of recognizing facial gestures in different images even when modifying their characteristics.
Design and comprehensive testing a 2.4 GHz antenna for WiFi access point Firdaus Firdaus; Afida Nurul Fatimah; Yulindon Yulindon; Ratna Dewi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14940

Abstract

A small size patch antenna for replacing TP-LINK WA 701 ND access point (AP) internal antena for 2.4 GHz is proposed. Measurements are carried out on AP external antenna to get the basic parameter of the antenna i.e. return loss, bandwidth, radiation pattern, and polarization. The patch antenna is designed by using IE3D simulator on FR4 material with the thickness of 1.6 mm and the dielectric constant of 4.4. The 42×28×1.6 mm overall size of the designed antenna is printed on FR 4 substrate, measured and compared to external AP antenna. The measurement result shows good agreement between simulation and designed antenna. The printed antenna covers 2.4 GHz, the gain of 2.5 dBi, and has linier polarization. This antenna is much smaller than 190×15×15 mm conventional TP-LINK WA 701 ND AP antennas and allows it to be hidden and integrated on the AP printed circuit board. The comparation of the designed antenna and external AP antenna is also conducted by evaluating both antenna performance on TP-LINK WA 701 ND AP by accessing it on a laptop on different access distance.

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