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Febrian Dhimas Syahfitra
Universitas Muhammadiyah Yogyakarta
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Library & Information Science

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Implementation of Backpropagation Artificial Neural Network as a Forecasting System of Power Transformer Peak Load at Bumiayu Substation Febrian Dhimas Syahfitra; Ramadoni Syahputra; Karisma Trinanda Putra
Journal of Electrical Technology UMY Vol 1, No 3 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1316

Abstract

The National Electricity Company (PT PLN) should have an estimated peak load of the substation transformer in the future. This is useful to be able to achieve transformer capability and can be used as a first step to anticipate the possibility of replacement of a new transformer. This research presents a peak load forecasting system transformer1 and transformer2 in Bumiayu substation using Backpropagation Artificial Neural Network (ANN). This study includes the procedures for establishing a network model and manufacture forecasting system based GUI (Graphic User Interface) using MATLAB 2015a. The formation of the network model refers to input variables consisting of GRDP data, population data and historical data of peak load of transformer. In this research, a multilayer network model, which consists of 1 input layer, 2 hidden layers and 1 output layer, is used. The peak load forecasting of transformer1 produces 5.7593e-08 for training MSE and 5.3784e-04 for testing MSE. Meanwhile, forecasting the peak load transformer2 generated 3.3433e-08 for training MSE and 9,4710e-04 for testing MSE.
Development of User Interface Based on LabVIEW for Unmanned Aircraft Application Faaris Mujaahid; Amir Malik Hizbullah; Febrian Dhimas Syahfitra; Muhammad Abduh Dahlan; Nugroho Dwi Juliansyah
Journal of Electrical Technology UMY Vol 1, No 2 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1214

Abstract

This paper describes the user interface construction of rocket/aircraft condition monitoring systems on LabVIEW, a graphical-based programming language. The interface, placed in the ground station, has some important information transmitted from the rocket. The information contains real-time data from the sensor devices. The aim of the construction of this interface is that the operator in the ground station can monitor the behavior and the condition of the flying rocket, in regard to the self-control mechanism programmed within the rocket. The LabVIEW front panel includes the visualization of 3D rocket motion, accelerometer-graph, gyroscope-graph, rocket navigation, GPS positioning, altitude, and pressure-meter. The result proved that the data transmission was recorded properly to the front panel system and logbook. In addition to the result, the reliability test has 50% probability to the system performance with the given test period of 300 seconds and 600 seconds. The low reliability result might be caused by the size of buffer overflow between the hardware and LabVIEW.
Co-Authors Amir Malik Hizbullah Faaris Mujaahid Karisma Trinanda Putra Muhammad Abduh Dahlan Nugroho Dwi Juliansyah Ramadoni Syahputra