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JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : 25408658     EISSN : 25408658     DOI : https://doi.org/10.21070/jeeeu
Core Subject : Engineering,
Electrical & Electronics Engineering
Aim: to facilitate scholar, researchers, and teachers for publishing the original articles of review articles. Scope: Electrical, Electronica, Telecomunication, Medical Electronica, Digital system, Control system.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 6 Documents
 1 
Search results for , issue "Vol 1 No 2 (2017): October" : 6 Documents clear
Perancangan Sensor Suhu Menggunakan Metode Interpolasi Lagrange Berbasis Serat Optik Berstruktur Sms (Singlemode-Multimode-Singlemode) Aslam Chitami Priawan Siregar; Danang Haryo Sulaksono
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 1 No 2 (2017): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v1i2.976

Abstract

In this research, a temperature measurement technique was developed using fiber optic structured SMS and OTDR. Where in optical fibers singlemode-multimode-singlemode (SMS) and Optical Time Domain Reflectometer (OTDR) has been widely used for various sensors in detecting damage to the building earlier. Thereafter, calculations are performed using Borland Delphi's Lagrange Interpolation method 7. Characteristics of each of the fiber-optic fiber sensor structures that have been fabricated using multimode optical fibers with lengths of 5.5 cm, 6 cm, 6.5 cm and 7 cm and with use its operating wavelength is 1310 nm. Testing rangesuhusebesar 37oC - 67oC with every temperature rise of 10oC.Berdasarkan research results, multimode length 5.5 cm there is a graph increase with R2 of 93.7%. The increase in temperature, the loss of power generated greater. While the multimode length 6 cm, 6.5 cm, and 7 cm indicate that there is a decrease graph, for multimode length 6 cm with R2 equal to 97,7%, for multimode length 6,5 cm with R2 equal to 99,7%, for long multimode 7 cm with R2 99.2%. While based on result of calculation by Lagrange Interpolation method for suhuberstruktur SMS sensor based on result of calculation using Lagrange Interpolation method with different multimode length have same data regularity compared to temperature sensor structured SMS based on measurement result. For example, as long as 7 cm long multimode yield R2 of 99.2% for the measurement result and yield R2 of 99.3% for the calculation result.
Optimal Design of Power System Stabilizer In Bakaru Power Plant Using Bat Algorithm Muhammad Ruswandi Djalal; Muhammad Yusuf Yunus; Herman Nawir; Andi Imran
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 1 No 2 (2017): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v1i2.1017

Abstract

The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats based algorithm to design PSS. Bat Algorithm is an algorithm that works based on bat behavior in search of food source. Correlation with this research is, food sources sought by bats represent as PSS parameters to be optimized. Bat's algorithm will work based on a specified destination function, namely Integral Time Absolute Error (ITAE). In this research will be seen the deviation of velocity and rotor angle of each generator, in case of disturbance in bakaru generator. The analysis results show that the uncontrolled system produces a large overshoot oscillation, and after the addition of PSS oscillation control equipment can be muted. So that the overshoot and settling time of each generator can be reduced and the generator can quickly go to steady state condition.
Rekonfigurasi Jaringan Distribusi Radial Menggunakan Modified Firefly Algorithms (MFA) Pada Penyulang Tanjung Rayon Jombang Hidayatul Nurohmah; Agus Raikhani; Machrus Ali
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 1 No 2 (2017): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v1i2.1064

Abstract

Reconfiguring a distribution network is necessary to reduce power loss and increase system reliability.Different distribution forms will affect the large power losses so that it is necessary to reset the network configuration.Reconfiguration is done by opening and closing switches on the best distribution network.The amount of feeder and bus on the network will be difficult and require a very long time if calculated manually.The repeater of Tanjung Rayon Jombang consists of 41 Buses and 44 feeders.Therefore it is necessary to solve the problem by using artificial intelligence or Artificial Intelligent (AI).Firefly Algorithms (FA) widely used research in solving the optimization problem.Modified Firefly Algorithms (MFA) is an FA modification designed to solve discrete combination optimization problems.MFAs can search for the best network reconfiguration so that it can reduce 12,0866 kWatt or 12,6881% in Cape repeater.With the end voltage before reconfiguration 0.92959 pu to 0.94072 pu.This method can later use other artificial intelligence or can be applied to other repeater, thus reducing the losses of electrical energy.
Aplikasi Modified-Imperialist-Competitive-Algorithm (MICA) Untuk Merekonfigurasi Jaringan Radial Tenaga Listrik Pada Penyulang Mojoagung Machrus Ali; Dwi Ajiatmo; Muhammad Ruswandi Djalal
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 1 No 2 (2017): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v1i2.1020

Abstract

The reconfiguration distribution network is used to reset the network configuration form by opening and closing switches on the distribution network. Reconfiguration is expected to reduce power losses and improve distribution system reliability. Many feeders and buses on the network if calculated manually will be difficult and require a very long time. So the solution of the problem must use artificial intelligence or Artificial Intelligent (AI). Imperialist Competitive Algorithm (ICA) widely used research in solving the optimization problem. Some studies comparing ICA with other artificial intelligence and ICA produce better results than other artificial intelligence. MICA is an ICA modification designed to solve a discrete combination of optimizations. MICA can find the best network reconfiguration so that it can reduce power loss by 35,7928% and fix voltage 0,0185 pu. This method can later use other artificial intelligence or can be applied to other repeater. So it can be used for recommendations to PT. PLN (Persero)
An Experimental Investigation Of A Weather Buoy-Wireless Data Acquisition Based On Microcontroller Wibowo Harso Nugroho; Kusnindar Kusnindar; Mesawati Mesawati; Syamsul Arifin
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 1 No 2 (2017): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v1i2.1170

Abstract

This paper presents an experimental work to monitor data acquisition of weather buoy by applying measurement sensors and wireless communication technology. The sensors were used to measure air pressure , air temperature, humidity, wind velocity, wind direction and the global position. Specifically, the communication of data acquisition system used in the weather buoys was developed using wireless modems and data communications software. Commands were issued from a computer to instruct the data acquisition system to acquire data from sensors. The RMS of each component is recorded and entered into the measurement range of 0.28-0.69 %. This range changes slightly when they were incorporated into the data acquisition system with the error of RMS 1.761% . However this was still in a good performance since the RMS error was less than 2%.
Rancang Bangun Pengaman Panel Distribusi Tenaga Listrik Di Lippo Plaza Sidoarjo Dari Kebakaran Berbasis Arduino Nano Achmad Solih; Jamaaluddin Jamaaluddin
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 1 No 2 (2017): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v1i2.1171

Abstract

Panel system power distribution at Lippo Plaza Mall Sidoarjo consists of several parts, namely from Cubicle 20 KV, 20 KV step-down transformer for 380 V, then the supply to LVMDP (Low Voltage Main Distribution Panel) The new panel to the user. Before delivery to users to note that the power factor is corrected using a capacitor bank. Less good a power factor is turned into inductive load on the capacitor bank so that temperatures high because of high load resulting capacitor bank erupt. To overcome in this study proposes a safety panel automation power distribution control system using a microcontroller. Control system microcontrollers for safety panel power distribution consists of: Microcontroller (Arduino Nano), Light sensor (LDR), temperature sensor (LM35DZ), LCD 16x2 I2C, Actuators (fan, buzzer, relay switch breaker network three phase), switch ( relay 5 VDC), ADC as Input data. The working principle of this microcontroller LM35DZ if the sensor detects a high temperature fan will flash, if the LDR sensor detects sparks then the buzzer will sound as a warning sign of the dangers and disconnected the electricity network. From the design of a safety tool for power distribution panels due to high temperatures or sparks as well as the expected rate of fire outbreaks can be prevented.

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