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Elektron Jurnal Ilmiah
Published by Politeknik Negeri Padang
ISSN : 20856989     EISSN : 26544733     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Elektron Jurnal Ilmiah (EJI) is a peer-reviewed journal which is published by Department of Electrical Engineering, Politeknik Negeri Padang. The ISSN number is 2085-6989. EJI published the first edition in 2009 and since 2014, EJI publishes in Juni and December. The scopes of the journal are: electrical power, telecommunication, control, electronic and robotics.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Volume 14 Nomor 1 Tahun 2022" : 5 Documents clear
Antena Vivaldi Konvensional untuk Penerapan pada Radar Cuaca (9.4 GHz) Randhika Rianza; Uzma Septima; Ahmad Dahlan; Firdaus Firdaus; Nasrul Nasrul; Yulindon Yulindon; Yustini Yustini
Elektron : Jurnal Ilmiah Volume 14 Nomor 1 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.1.236

Abstract

To predict weather conditions as an anticipation act towards natural disasters, a weather radar is needed. In weather radar technology, antennas play an important role in supporting the performance of the weather radar. Vivaldi antenna is the right choice because it has an unlimited bandwidth so it is able to operate at the desired work frequency, including the working frequency of weather radar (9.4 GHz). This research discusses the modification of tapered slots, circular stub, radial stub, length and width of the reference vivaldi antenna [1] using CST Studio software. After modifications and measurements, a return loss value of -23.25336989 dB, bandwidth of 500 MHz, VSWR 1.188463357, gain of 3.99 dBi, and unidirectional radiation patterns. All the resulting antenna parameter values are in good condition and qualify the weather radar antenna for a working frequency of 9.4 GHz.
Pelacakan Perahu Masyarakat Yang Mengalami Kondisi Darurat Di Perairan Sipora Utara Kab. Kepulauan Mentawai Berbasis Internet Of Things Ataul Mujib; Ramiati Ramiati; Rikki Vitria
Elektron : Jurnal Ilmiah Volume 14 Nomor 1 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.1.244

Abstract

Technology in search and rescue has been growing at this time, especially in early detection systems. Basarnas as the leading sector in search and rescue, has used an early detection communication tool called Radio Beacon to quick response search and rescue for aircraft and ship accidents, and conditions that endanger humans. However, in its application in the field, this early detection system has not been touched by the local community, especially because the price is still relatively expensive and the socialization of the importance of safety itself has not been maximized in the community. From these problems, this paper designs a tracking device that works like a Radio Beacon where the switch will activate the Arduino device, GPS module and SIM800l module. The GPS module receives the location coordinates to be further processed by Arduino and sent using the SIM800l module to Firebase and notifications is received by the smartphone and the location can be monitored through an android application created using the MIT App Inventor platform. From the test results, it is found that the initial data transmission process starts from the switch is activated until the notification is received by the smartphone, a delay of 70 seconds occurs while in the process of repeating sending data there is a delay between 10-35 seconds from what has been set in the program looping every 50 seconds.
Sistem Monitoring Horizontal Axial Wind Turbine (HAWT) Berbasis Internet Of Things Munir Azhari; Dean Corio
Elektron : Jurnal Ilmiah Volume 14 Nomor 1 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.1.272

Abstract

Wind power is one of the renewable energy sources used to generate electrical energy and is generally implemented in areas with large wind potential sources. The monitoring process of the power plant is usually carried out by the operator or user by recording the current, voltage, power, and wind speed produced by the wind turbine manually or conventionally. This direct monitoring process requires greater effort and takes a long time and the data obtained is less accurate. Therefore, a monitoring system is needed that is capable of remote monitoring and applies the concept of the Internet of Things (IoT) so that the current, voltage, power, and wind speed values ​​can be obtained by users in real time through a prototype website designed. Some of the tests carried out in this study were testing the accuracy of sensor readings by looking for error values, sending data by looking for delay values, and user experience when using the website using the User Experience Questions (UEQ) method. The results showed that the monitoring system was able to provide information to users through the website with an average response time of 12.60 seconds, error in current readings of 3.51% and voltage of 0.22%. Then for the UEQ score, the website obtained a score above the average on the aspects of clarity, attractiveness, novelty, efficiency, accuracy and got a good score on the stimulation aspect.
Optimalisasi Saluran Komunikasi Berbasis Gelombang Mikro Sebagai Alternatif Sistem Pemantauan Curah Hujan R. Yudha Mardyansyah; Budhy Kurniawan; Santoso Soekirno; Danang Eko Nuryanto
Elektron : Jurnal Ilmiah Volume 14 Nomor 1 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.1.278

Abstract

As a vast archipelagic country with diverse topographic conditions and has an annual average rainfall of more than 2000 mm, Indonesia is prone to hydrometeorological disasters. Based on Indonesia's disaster data, throughout 2021 there were 3,658 incidents of floods and landslides distributed throughout Indonesia. This makes real-time rainfall monitoring with high density indispensable. Indonesia currently has a rainfall monitoring system about 1000 automatic rain gauges, so an increase in the spatial resolution of network is necessary. The increasing density of monitoring equipment using rain gauges and weather radar poses the problem of high procurement and operational costs. Therefore, several alternative rainfall monitoring systems are needed. In this article, we review several studies that focus on the utilization of terrestrial and satellite communication link operating in high frequency bands as an alternative for measuring rainfall. Optimization of the satellite communication system network is more suitable than terrestrial networks to be applied in Indonesia with archipelagic areas because it has a large number of point distributions with wider coverage. The use of artificial intelligence with deep learning techniques such as one dimensional convolutional neural network (1D-CNN) is also very promising to estimate rainfall intensity because it has a high accuracy of 93%..
Implementasi Myoware Sensor Otot untuk Alat Bantu Terapi Penderita Drop hand dan Pasca Stroke Tuti Anggraini; Rahmatul yoga Setiawan; Anton Anton
Elektron : Jurnal Ilmiah Volume 14 Nomor 1 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.1.260

Abstract

The manufacture of therapeutic aids for patients with drop hand and post-stroke controlled by a microcontroller has been carried out. The objectives of this study are (a) applying muscle sensor myoware to make therapeutic aids for patients with hand drop and post-stroke controlled by a microcontroller and (b) measuring the performance of the device. The research method starts from making tools, and measuring tool performance. The results of measuring the performance of the tool are shown by the myoware muscle sensor readings, when the muscle contracts the voltage is 4.8V and the ADC is 984. The sensor accuracy level is MAX30100 for 99% oxygen readings based on the sensor measurement results compared to a medical pulse oximeter. The measurement results are displayed on the OLED LCD. Overall the tool can function well. Suggestions for further research, can be added data communication based on Internet of Things and machine learning for training motion methods.

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