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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 64 Documents
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Search results for , issue "Vol 17, No 1: February 2019" : 64 Documents clear
Anthropomorphic transradial myoelectric hand using tendon-spring mechanism Mochammad Ariyanto; Rifky Ismail; Joga D. Setiawan; Elga P. Yuandi
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.v17i1.11600

Abstract

In the developing countries, the need for prosthetic hands is increasing. In general, transradial amputee patients use prosthetic hands that are passive like a body-powered prosthesis. This research proposes a low-cost myoelectric prosthetic hand based on 3D printing technology. Hand and finger size were designed based on the average size of human hands in Indonesia. The proposed myoelectric hand employs linear actuator combined with the tendon-spring mechanism. Myoelectric hand was developed with five modes of grip pattern to perform various object grasping in activity of daily living. Control strategy had been developed for controlling the motion of flexion and extension on the hand and saving the energy consumed by the actuators. The control strategy was developed under MATLAB/Simulink environment and embedded to Arduino Nano V3 using Simulink Support Package for Arduino Hardware. Surface electromyography (EMG) sensor was used in this research for reading the muscle activity of the user/wearer. The proposed myoelectric hand had been tested in object grasping test and was implemented on a study participant with transradial amputee.
Analysis of UAV multicopter of air photography in New Yogyakarta International Airports Indreswari Suroso; Erwhin Irmawan
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.v17i1.9255

Abstract

The higher the quality of the drone, the longer the drone will fly and the better the quality of the drone's photography. Survey of research location in Glagah Indah Beach, preparation of drone at ground, we plan the height of flying drones, then testing drone at ground, we measure camera calibration, and then result capture in the air and images in the air. Vehicle specifications are as follows: Frame: F450; Flight Controller: DJI Naza M-Lite; Propeller: 1045 Prop; motorbike: brushless sunnsky 980 kVa; ESC: Skywalker 40 Ampere 3s; Battery: Ace 3s Gens 5000mAH; Remote: Turnigy 9XR with Frsky Tanseiver; and camera: Xiaomi Yi 4k International edition.This drone type multicopter can penetrate the high of 100 meters to 200 meters and can air for 30 minutes, can take an area of up to 1 km while payload drones multicopter is 2.8 kg.This multicopter drone has a 12 megapixel sensor; maximum flight time of 15 minutes; speed of 20 m/s, maximum take-up speed of 6 m/s, maximum landing speed of 4m/s, temperature range when operating drone 0o to 40oC and maximum image size of 4000x3000.
Study of direct current motor power requirement for manikin smart irrigation systems Folkes E. Laumal; Darmawan Napitupulu; Oktaf B. Kharisma; Kusa B. N. Nope; Robinson A. Wadu
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.v17i1.11622

Abstract

Manikin Irrigation Area (I.A) has ± 3000 ha of the area, utilizes the water source from the Tefmo Dam and distributes to the Primary-Secondary-Tertiary channels with controlled by watergates that operated by lift. This mechanism has resulted in jealousy and squabbles in farmer groups because of the inequality distribution that ultimately decreases crop production. The development of Microcontroller Technology has changed the Watergate model into an automated system based on certain parameters and algorithms. One of that being developed is the smart irrigation system based on Arduino at Manikin I.A that regulates the water to land based on the time from the Real-Time Clock sensor and uses Direct Current (DC) motor as a driver to watergate. While it may work, but the system has not considered the power requirement of DC motor when the water flows in the maximum discharge and pressure affecting the motor. This study examines the power requirement of an ideal DC motor for smart watergate in 5 open channels in Manikin I.A. Based on the open channel standard parameters, a total load measurement is performed when the water given speed (V) and pressure (p) then converted to energy. The study results that on 5 different open channels in Manikin I.A, with 0.30 m3/s maximum water discharge and 7.56 m/s2 flow rate, a watergate control requires DC motor that has 35 to 43 Watt power (39,4 Watt average power) or 3 to 3.5 Ampere current (3,26 Ampere average Current) in order to 24-hours work.
Optimization of smart traffic lights to prevent traffic congestion using fuzzy logic Dian Hartanti; Rosida Nur Aziza; Puji Catur Siswipraptini
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.v17i1.10129

Abstract

One of the main causes of traffic congestion, especially at intersections, is because traffic lights have not been able to show the right time according to the existing traffic conditions. Time settings based on peak/off-peak traffic lights are not enough to handle unexpected situations. The fuzzy mamdani method makes decisions with several stages, the criteria used are the number of vehicles, the length of the queue and the width of the road to be able to optimize the time settings based on the real-time conditions required so that unwanted green signals (when there is no queue) can be avoided. The purpose of this research is to create a simulator to optimize traffic time management, so that the timers on each track have the intelligence to predict the right time, so that congestion at the intersection can be reduced by adding up to 15 seconds of green light from the previous time in the path of many vehicles.

Page 7 of 7 | Total Record : 64

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