Andalas Journal of Electrical and Electronic Engineering Technology
Electrical power and energy: Transmission and distribution, high voltage, electrical energy conversion, power electronics and drive. Telecomunication and Signal Processing: Antenna and wave propagation, network and systems, Modulation and signal processing, Radar and sonar, Radar imaging; Radio, multimedia content, Routing protocols, Wireless communications, Signal Processing, Image Processing, Voice Processing. Control automation and Robotic: Robotics, Automation, Pattern Recognition, Biosignal Engineering, Control Theory, Applied Control, System Design, Optimization, Process Control, Sensor. Research in Electrical and Electronic Engineering Education.
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<![CDATA[Design of Protection Relay Coordination Settings and Connecting to PLC Siemens S7-1500 For Load Shadding and HMI Display at PT. Semen Padang ]]>
<![CDATA[Heru Dibyo Laksono]]>;
<![CDATA[Mohamad Hanif Hakim]]>;
<![CDATA[Rahman Ikhlas]]>;
<![CDATA[Ridza Azri Ramlee]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.24
<![CDATA[There are some vital loads and must not extinguished on the production activities of PT. Semen Padang cause the operational costs to rerun are very large. To solve this problem, it is necessary to evaluate the coordination settings of protection relays and automatic control systems to supporting the production process of PT. Semen Padang so production efficiency can be maintained. The relay settings to be evaluated are inverse time and instantaneous overcurrent relays by coordinating the main relay, backup relay 1 and backup relay 2 from downstream to upstream load feeder. The designed control system is an automatic load shedding and HMI display that can visualizing the system in realtime using the PLC Siemens S7-1500 with simulating on the PLCSimulator of the TIA Portal 15.1 software. Based on the calculations carried out, there are significant differences in the relay settings from the calculation results with the existing state. the relays installed in the system do not coordinate properly in the existing state, while after the calculation of the coordination relays the relays coordinate well. From the design of the control system, an automatic load shedding program and the display of the HMI system in real time were produced.]]>
<![CDATA[Design and Construction of PDAM Water Use Monitoring Based on Internet of Things (IoT) ]]>
<![CDATA[Faisal Faisal]]>;
<![CDATA[Hambali Hambali]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.25
<![CDATA[Water is a natural resource that is very important for life in the world for humans, animals and other living things. In a settlement, there are two ways to provide clean water, namely piped and non-piped systems. The piping system itself is managed by the Regional Drinking Water Company (PDAM), which is a local government company that carries out the service function to produce drinking water and clean water for the community. The current problem occurs in the community and is detrimental to the community itself, namely the manual recording system of water usage meters, often the fees charged by the community are not in accordance with the usage meter used. For this reason, an automatic monitoring of water usage was designed. This tool uses a Waterflow to detect the amount of water consumption which is controlled with NodeMCU Esp8266, later monitoring of usage can be seen on the LCD and Thinger.io as a database. Testing this final project using a measuring cup as a comparison of the real water volume with the volume of the results read by the sensor. The test results of the final project will read the volume of water and the rate for usage fees with an error percentage of 0.3%. The resulting data can be monitored in real time through the thinger.io website and smartphones to make it easier to monitor remotely.]]>
<![CDATA[The Use of Artificial Neural Networks (ANN) in the Chayote Chips Dough Mixer ]]>
<![CDATA[Roza Susanti]]>;
<![CDATA[Zas Ressy Aidha]]>;
<![CDATA[Surfa Yondri]]>;
<![CDATA[Sir Anderson]]>;
<![CDATA[Tri Oktaviandra]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.27
<![CDATA[This study uses a backpropagation neural network to determine the evenness of the chayote chip dough. The Tcs3200 Color Sensor mounted on the stirrer alt is used as a sensor to determine the color of the chayote emping dough. A regression score of 1 indicates that the input and target data match in the test results of the artificial neural network, which has an objective error (MSE) value of 0.0096306 achieved in the 313th epoch. Changes in RGB color readings on the TCS sensor from min values ??<40 and max values>52 in mixing dough are influenced by distance and light intensity which will be converted in the form of frequency.]]>
<![CDATA[Design of Pico-Hydro Power Plant with Monitoring System Based on Internet of Things ]]>
<![CDATA[Fadhillah Hazrina]]>;
<![CDATA[Purwiyanto Purwiyanto]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.29
<![CDATA[Currently the electrification ratio in Banyumas Regency is around 79%. This means, of the 1.7 million residents of Banyumas Regency, only around 21% have not enjoyed PLN electricity. Those whose homes have not yet had electricity are on average residents who are on the slopes of the mountain slopes, and some residents in several groves in remote areas in Banyumas Regency which are very far from the PLN electricity network. This problem can be overcome by providing electrical energy by utilizing renewable alternative energy, one of which is micro hydro or pico hydro power plants on an individual or residential scale. Therefore, this research designed a simulation of a pico hydro power plant using a Pelton turbine which is expected to be able to provide benefits to the general public, this tool is equipped with remote monitoring using Google Firebase based on the Internet of Things which can be monitored via the Android application for monitoring Voltage, current and power use the INA219 sensor which has been programmed on Arduino Uno and Node MCU ESP8266. This tool uses a 12-24 Volt DC generator, produces DC electricity which is stored in a 12 Volt 5 Ah battery which is then converted using an inverter to become AC electricity. In this test using a 5 Watt AC lamp load, the battery voltage which was initially 12.6 Volts was reduced to 9.9 Volts, the lamp load was able to light up for 1 hour. In measuring the voltage and current, the generator produces an average voltage of 15.9 Volts and a current of 50.2 mA.]]>
<![CDATA[Disturbance Modeling on Transmission Lines Using Wavelet Transform Method: A Review ]]>
<![CDATA[Sitti Amalia]]>;
<![CDATA[Mardini Hasanah]]>;
<![CDATA[Yusreni Warmi]]>;
<![CDATA[Novizon Novizon]]>;
<![CDATA[Abdul Rajab]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.31
<![CDATA[This paper introduces a number of methods for identifying disturbances on transmission lines and provides algorithms for classifying various disturbance types. working with the discrete wavelets transform (DWT) and various embedded systems techniques using a simulator to carry out digital simulations of system trials using the controlled technique, the nature of disturbance in distinct sub-systems is determined. The analysis of transmission lines using the wavelet transform is the main topic of this study, along with techniques for transmission line protection. These factors include channel capacity, channel length, simulation software, mother wavelet type, parameters, sampling frequency, and type of disturbance analysis.]]>
<![CDATA[The Use of Artificial Neural Networks in Agricultural Plants ]]>
<![CDATA[Roza Susanti]]>;
<![CDATA[Riko Nofendra]]>;
<![CDATA[Zaini Zaini]]>;
<![CDATA[Muhammad Syaiful Amri bin Suhaimi]]>;
<![CDATA[Muhammad Ilhamdi Rusydi]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.32
<![CDATA[Artificial Neural Networks use high-performance computing and big data technology, opportunities for science to create new opportunities in agriculture. The purpose of writing this article is to analyze the use of artificial neural networks on (a) plant diseases based on plant leaf diseases, (b) plant pests, (c) growth or quality, and (d) agricultural products. The writing method used is a literature study of the research that has been done. The keywords used in the search for references include ANN, plant, diseases, pests, growth or quality, and agricultural products. Publishers for the reference in this article are ScienceDirect and IEEE. The years of publication of the references are restricted from 2015 to 2022. Based on the literature study results, it was concluded that Artificial Neural Networks' deep learning models are accurate for detecting and classifying leaf diseases and pests, detecting growth, and application to agricultural plant products.]]>
<![CDATA[Design of Protection Relay Coordination Settings and Connecting to PLC Siemens S7-1500 For Load Shadding and HMI Display at PT. Semen Padang ]]>
<![CDATA[Heru Dibyo Laksono]]>;
<![CDATA[Mohamad Hanif Hakim]]>;
<![CDATA[Rahman Ikhlas]]>;
<![CDATA[Ridza Azri Ramlee]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
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DOI: 10.25077/ajeeet.v2i2.24
<![CDATA[There are some vital loads and must not extinguished on the production activities of PT. Semen Padang cause the operational costs to rerun are very large. To solve this problem, it is necessary to evaluate the coordination settings of protection relays and automatic control systems to supporting the production process of PT. Semen Padang so production efficiency can be maintained. The relay settings to be evaluated are inverse time and instantaneous overcurrent relays by coordinating the main relay, backup relay 1 and backup relay 2 from downstream to upstream load feeder. The designed control system is an automatic load shedding and HMI display that can visualizing the system in realtime using the PLC Siemens S7-1500 with simulating on the PLCSimulator of the TIA Portal 15.1 software. Based on the calculations carried out, there are significant differences in the relay settings from the calculation results with the existing state. the relays installed in the system do not coordinate properly in the existing state, while after the calculation of the coordination relays the relays coordinate well. From the design of the control system, an automatic load shedding program and the display of the HMI system in real time were produced.]]>
<![CDATA[Design and Construction of PDAM Water Use Monitoring Based on Internet of Things (IoT) ]]>
<![CDATA[Faisal Faisal]]>;
<![CDATA[Hambali Hambali]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
Show Abstract
|
Download Original
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Original Source
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Check in Google Scholar
|
DOI: 10.25077/ajeeet.v2i2.25
<![CDATA[Water is a natural resource that is very important for life in the world for humans, animals and other living things. In a settlement, there are two ways to provide clean water, namely piped and non-piped systems. The piping system itself is managed by the Regional Drinking Water Company (PDAM), which is a local government company that carries out the service function to produce drinking water and clean water for the community. The current problem occurs in the community and is detrimental to the community itself, namely the manual recording system of water usage meters, often the fees charged by the community are not in accordance with the usage meter used. For this reason, an automatic monitoring of water usage was designed. This tool uses a Waterflow to detect the amount of water consumption which is controlled with NodeMCU Esp8266, later monitoring of usage can be seen on the LCD and Thinger.io as a database. Testing this final project using a measuring cup as a comparison of the real water volume with the volume of the results read by the sensor. The test results of the final project will read the volume of water and the rate for usage fees with an error percentage of 0.3%. The resulting data can be monitored in real time through the thinger.io website and smartphones to make it easier to monitor remotely.]]>
<![CDATA[The Use of Artificial Neural Networks (ANN) in the Chayote Chips Dough Mixer ]]>
<![CDATA[Roza Susanti]]>;
<![CDATA[Zas Ressy Aidha]]>;
<![CDATA[Surfa Yondri]]>;
<![CDATA[Sir Anderson]]>;
<![CDATA[Tri Oktaviandra]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25077/ajeeet.v2i2.27
<![CDATA[This study uses a backpropagation neural network to determine the evenness of the chayote chip dough. The Tcs3200 Color Sensor mounted on the stirrer alt is used as a sensor to determine the color of the chayote emping dough. A regression score of 1 indicates that the input and target data match in the test results of the artificial neural network, which has an objective error (MSE) value of 0.0096306 achieved in the 313th epoch. Changes in RGB color readings on the TCS sensor from min values ??<40 and max values>52 in mixing dough are influenced by distance and light intensity which will be converted in the form of frequency.]]>
<![CDATA[Design of Pico-Hydro Power Plant with Monitoring System Based on Internet of Things ]]>
<![CDATA[Fadhillah Hazrina]]>;
<![CDATA[Purwiyanto Purwiyanto]]>
<![CDATA[ Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Electrical Engineering Dept, Engineering Faculty, Universitas Andalas ]]>
Show Abstract
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Original Source
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DOI: 10.25077/ajeeet.v2i2.29
<![CDATA[Currently the electrification ratio in Banyumas Regency is around 79%. This means, of the 1.7 million residents of Banyumas Regency, only around 21% have not enjoyed PLN electricity. Those whose homes have not yet had electricity are on average residents who are on the slopes of the mountain slopes, and some residents in several groves in remote areas in Banyumas Regency which are very far from the PLN electricity network. This problem can be overcome by providing electrical energy by utilizing renewable alternative energy, one of which is micro hydro or pico hydro power plants on an individual or residential scale. Therefore, this research designed a simulation of a pico hydro power plant using a Pelton turbine which is expected to be able to provide benefits to the general public, this tool is equipped with remote monitoring using Google Firebase based on the Internet of Things which can be monitored via the Android application for monitoring Voltage, current and power use the INA219 sensor which has been programmed on Arduino Uno and Node MCU ESP8266. This tool uses a 12-24 Volt DC generator, produces DC electricity which is stored in a 12 Volt 5 Ah battery which is then converted using an inverter to become AC electricity. In this test using a 5 Watt AC lamp load, the battery voltage which was initially 12.6 Volts was reduced to 9.9 Volts, the lamp load was able to light up for 1 hour. In measuring the voltage and current, the generator produces an average voltage of 15.9 Volts and a current of 50.2 mA.]]>
