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Elektron Jurnal Ilmiah
ISSN : 20856989     EISSN : 26544733     DOI : -
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.
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Articles 5 Documents
Search results for , issue "Volume 13 Nomor 2 Tahun 2021" : 5 Documents clear
Rancang Bangun Alat Pemberi Makan Ikan Menggunakan Blynk Untuk Keramba Jaring Apung Berbasis IoT Laxsmy Devy
Elektron : Jurnal Ilmiah Volume 13 Nomor 2 Tahun 2021
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.13.2.223

Abstract

Research has been carried out on the Design of Fish Feeding Equipment for IoT-Based Floating Cages. The purpose of this study was to design a fish feeder for floating net cages using ESP-32 CAM, ultrasonic sensor, RTC module and servo motor. The research stages start from hardware design, software design, testing and analysis. The results showed that the RTC Module was functioning properly according to the Blynk Application Time Input Widget. A notification will be sent to the smartphone when the remaining volume of fish feed is less than 20%. ESP32-CAM can send images and stored on webhosting the results of the images displayed are affected by the signal speed. Overall the tool can function well. For further research, you can add a weight sensor to find out how much feed is given in each specified time.
Rancang Bangun GPS Tracker Pada Kendaraan Bermotor Menggunakan SIM7000 NB-IoT Berbasis Arduino Ana Febriana; Andi Ahmad Dahlan; Firdaus Firdaus
Elektron : Jurnal Ilmiah Volume 13 Nomor 2 Tahun 2021
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.13.2.225

Abstract

The rise of motorcycles today is in line with the increase in criminal acts such as motorcycle theft. Even though it is equipped with a security system such as a shutter key and ignition key, motorbikes can still be broken into by burglar specialists. When a motorcycle theft occurs, what the community can do is report the incident to the police and the community takes a long time to find the whereabouts of the missing motorcycle. Based on these problems, an additional security system was designed for Arduino-based motorcycles by utilizing GPS and SIM7000 modules. With the help of a simple application on the user's smartphone, this motorcycle security system can be tracked at any time even remotely. The results of this test obtained the coordinate points taken by the motorcycle during the route with the default time interval of 1 second. The coordinates obtained are displayed directly on google maps that are connected to the application and stored in the history application to anticipate if a motor vehicle theft occurs. The accuracy of taking coordinates on this tool is 85% when the quality of the network received is in good condition and 75% when the quality of the network received is in poor condition.
Penggunaan Metode You Only Look Once dalam Penentu Pindah Tanaman Cabai Besar Ternotifikasi Telegram Feli Ramasari; Firdaus Firdaus; Sri Nita; Kartika Kartika
Elektron : Jurnal Ilmiah Volume 13 Nomor 2 Tahun 2021
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.13.2.229

Abstract

Capsicum Annuum L. is one of the vegetable commodities that have high economic value in fulfilling Indonesia's domestic needs with an area of chili harvest of around 11,400 ha per month. One of the stages in the cultivation of chili plants is the process of transplanting after sowing, namely the condition of the seeds having 4-5 permanent leaves. The impact if it is not immediately transferred is that the plant does not have enough adaptation period in completing its vegetative growth so that the plant quickly ages and enters the generative stage. Digital image processing can be applied to the identification and calculation of permanent leaves of large chili plants with a deep learning approach. One method that can be used is You Only Look Once version 4, which is the development of a convolutional neural network in object detection in the form of boundary box prediction results with a CSPdarknet53 backbone. The YOLOv4 model is integrated with the Raspberry Pi 4 Model B mini computer and sends notifications via the Bot feature in the Telegram application. The image dataset used is 135 pieces with 1409 samples for permanent class and 1945 samples for the young class. This system was successfully implemented with the identification and calculation accuracy value of 92.85% and the inference time value for the detection of one plant was 11.88 seconds and for sending notifications was 25.29 seconds.
Implementasi Sensor Getar dan PIR untuk Alat Pengaman Mobil Berbasis Internet of Things roza susanti
Elektron : Jurnal Ilmiah Volume 13 Nomor 2 Tahun 2021
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.13.2.235

Abstract

The era of technology is developing rapidly along with the needs, various problems that arise can be overcome with technology. Internet Of Things (IOT) based car vehicle security system, using the NodeMCU ESP8266 microcontroller and a smartphone equipped with emergency safety features with accuracy and precision that support the realization of an interactive security system. This research starts from making the physical form of a car safety device with a control system using a microcontroller, programming the microcontroller and measuring system performance. Based on the test, it can be concluded, where this tool can function properly by combining hardware and software, namely the response time of the MCU Node sending messages to the owner's cellphone via telegram is 5.88 seconds. The security system can be monitored in real time without any distance limitations.
Alat Pengukur Ketinggian Air Pada Landasan Pacu Pesawat Dengan Metode Image Processing ivan Finiel Hotmartua Bagariang; Hendrick Hendrick
Elektron : Jurnal Ilmiah Volume 13 Nomor 2 Tahun 2021
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.13.2.255

Abstract

An aircraft accident are caused by several factors, one of which is the weather. High rainfall causes the runway to become slippery and wet. This will cause hydroplaning events on the plane. Hyproplaning is a skidding event caused by puddles of water on the runway. The maximum height of puddles on the runway is 3 mm. Currently, to measure the water level is still done in a conventional way and there is no sensor capable of measuring the water level in mm. To prevent accidents due to hydroplaning, a measuring device is needed that can monitor the water level in millimeters and has a long size range and is calibrated on the runway. This water level meter is made using a raspberry Pi 3 B+ miniPC. The stages in making this tool include hardware design and software design. Measurements were carried out using the image processing method with a Raspberry Pi camera and an optical liquid water sensor. The results of the measurements are displayed on the monitor screen with the VNC Viewer software. The measurement results using an optical liquid water level sensor are accurate with a relative error of 0% in each measurement, namely at 1 mm, 2 mm and 3 mm. For measurements using the image processing method, the average error generated is 2.3% at a height of 1 mm, 6.9% at a height of 2 mm, 3.3% at a height of 3 mm, 0.9% at a height of 4 mm and 0 .24% at 5 mm height.

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