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Contact Name
Adi Mulyadi
Contact Email
jurnaljef@gmail.com
Phone
+6282334121235
Journal Mail Official
jurnaljef@gmail.com
Editorial Address
Villa mutiara hijau D43, Jl. Ikan Arwana, Karangrejo, Kec. Banyuwangi, Kabupaten Banyuwangi, Jawa Timur 68411
Location
Kab. banyuwangi,
Jawa timur
INDONESIA
Journal Electric Field
Published by CV. Sekawan Siji
ISSN : -     EISSN : 30637783     DOI : -
Journal Electric Field adalah jurnal ilmiah di bidang Teknik Elektro yang diterbitkan oleh CV. SEKAWAN SIJI. Artikel diterbitkan 2 kali setiap tahun pada bulan Juni dan Desember. CV. SEKAWAN SIJI merupakan penerbit yang sah dan terdaftar di Kementerian Hukum dan Hak Asasi Manusia pada tanggal 25 Agustus 2020 dengan nomor AHU-0044621-AH. Journal Electric Field memuat berbagai kegiatan tenaga pengajar guru, dosen, dan praktisi dalam menerbitkan artikel ilmiahnya. Journal Electric Field menyediakan forum untuk penerbitan artikel ilmiah yang mewadahi publikasi dalam bidang Teknik Elektro yang membahas diantaranya sebagai berikut: 1. Sistem Tenaga Listrik 2. Sistem Kontrol 3. Sistem Konversi Energi 4. Sistem Telekomunikasi 5. Sistem Monitoring 6. Bidang Teknik Elektro Lainnya
Articles 5 Documents
Search results for , issue "Vol. 1 No. 2 (2024): Journal Electric Field" : 5 Documents clear
Desain Teknologi Dual-Axis Solar Tracker Untuk Mengukur Sudut, Torsi dan Daya Motor Worm Gear Pada Panel Surya Adi Mulyadi; Muhammad Zainal Roisul Amin
Journal Electric Field Vol. 1 No. 2 (2024): Journal Electric Field
Publisher : CV. Sekawan Siji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63440/jef.v1i2.40

Abstract

This paper discusses the design of dual-axis solar tracker technology to measure the angle, torque and motor power of solar panels in dragon fruit fields in Banyuwangi Regency. The installation of solar panels that have been carried out in static conditions with the charging of solar panel energy produced is not optimal. Therefore, solar tracker technology is proposed to measure the angular velocity, motor torque, and motor power by following the direction of the sun. The dual-axis solar tracker uses a worm gear consisting of a spiral threaded shaft to drive a toothed wheel with a rotation angle of 180o. The results of the application of the solar tracker show that the angular velocity, torque and power increase significantly. Measurement of the dual-axis solar tracker with a time of 2-30 seconds obtained the angle, torque and power of the worm gear motor at a time of 0 seconds, namely -664.151 deg / s to a time of 30 seconds 621.534 deg / s. While the results of measurements with a time of 30-60 seconds produced an angular velocity of 621.534-2169.744 deg / s. Furthermore, the measurement of the worm gear motor torque at 0-30 seconds obtained 353,712-2286,268 Nm, and the measurement of the motor torque at 30-60 seconds produced a value of 2286,268-7356,913 Nm. The measurement of the worm gear motor power with a time of 2-30 seconds produced an average power of 7,785-46,984 kW, and the measurement of the motor power at 30-60 seconds produced a power of 46,984-101,479 kW.
Sistem Monitoring dan Pengendalian Suhu Otomatis Berbasis IoT Untuk Greenhouse Dengan Algoritma Fuzzy Logic Imran, Faizur Rahman; Rahana, Gunawan; Mahda, Fajri Hidayat; Sari, Dessy Ana Laila
Journal Electric Field Vol. 1 No. 2 (2024): Journal Electric Field
Publisher : CV. Sekawan Siji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63440/jef.v1i2.41

Abstract

In facing the challenges of climate change that affect the agricultural sector, automatic monitoring and control systems are important solutions to ensure optimal conditions for plant growth. This study develops an Internet of Things (IoT)-based system and fuzzy logic algorithms to automatically control temperature and humidity in a greenhouse. This system uses a DHT22 sensor to measure temperature and humidity, ESP32 as a microcontroller, and actuators such as fans and heaters to adjust environmental conditions. The fuzzy logic algorithm enables adaptive decision making based on real-time data collected. The research methodology adopts the ADDIE development model which includes analysis, design, development, implementation, and evaluation. The implementation results show that the system is able to improve the efficiency of greenhouse environmental management, maintain the stability of temperature and humidity parameters, and increase plant productivity. This technology is a step forward in supporting the sustainability of modern agriculture.
Pengembangan Sistem Kunci dan Bell Pintu Berbasis WiFi Menggunakan ESP32-CAM Terintegrasi Telegram Merilsafani; Wahda Tulummah; Elin
Journal Electric Field Vol. 1 No. 2 (2024): Journal Electric Field
Publisher : CV. Sekawan Siji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63440/jef.v1i2.43

Abstract

Home security is a major concern in the era of modern technology. This study aims to develop a WiFi-based door lock and doorbell system using ESP32-CAM integrated with Telegram. This system is designed to provide an efficient security solution, allowing users to receive real-time notifications and control door access remotely through the Telegram application. The research methods are hardware design, software development, and integration of the IoT module with Telegram. The test results show that the system operates effectively in sending images in tests I-III obtained 5-7 seconds, sending notifications when the doorbell button is pressed with a time of 4-6 seconds, testing distances of 10 cm, 13 cm, and 15 cm, and an error value of 0.1-0.3%. This implementation is expected to improve home security with an easily accessible and reliable technological approach.
Analisis Perbandingan Jenis PLTS 200 WP Untuk Mengukur Biaya Instalasi Pada Skala Rumah Mas Ahmad Baihaqi; Andi Susilo
Journal Electric Field Vol. 1 No. 2 (2024): Journal Electric Field
Publisher : CV. Sekawan Siji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63440/jef.v1i2.45

Abstract

The need for electrical energy is currently increasing in line with technological advances, but the energy supply is still insufficient. There have been many developments of power plants using sunlight. Therefore, this study is to analyze the costs required for planning a 200 Wp PLTS as a renewable energy source. This research was conducted in the Dringu sub-district, Probolinggo district, on Thursday 6 June 2023 at 08.00 - 14.53 WIB. The research begins with data collection of sunlight intensity. The highest light intensity on the first day was recorded at 12:38 WIB was 1622 Lux, the second day the sunlight intensity was recorded at 12:02 WIB was 1607 Lux and the third day the sunlight intensity was recorded at 12:32 WIB was 1606 Lux. With the output power of solar panels that produce 1.18 kWh/Day, the amount that can be generated for one day is Rp. 1,704.75 and in one year is Rp. Rp. 613,708.56. The cost of making a 200 Wp PLTS is Rp. 3,977,000 so that it takes 6.4 years to recover the initial investment costs. The total advantage of using a 200 Wp solar panel is Rp. 15,097,230.56.
Pengurangan Distorsi Harmonik Total Pada Sistem Fotovoltaik Tenaga Surya Dengan Metode Kecerdasan Buatan: Tinjauan Epistemologi Mas, Ahmad Baihaqi; Arif Nur, Afandi; Syaad, Patmanthara
Journal Electric Field Vol. 1 No. 2 (2024): Journal Electric Field
Publisher : CV. Sekawan Siji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63440/jef.v1i2.46

Abstract

Total harmonic distortion (THD) in photovoltaic (PV) systems is a significant challenge that can degrade power quality and disrupt grid stability. This research proposes an innovative approach utilizing artificial neural networks (ANNs) to detect and mitigate THD in real-time. The uniqueness of this study lies in the application of transfer learning to train AI models with limited data, thereby reducing computational time and costs. Additionally, this research adopts a physics-based approach to enhance the interpretability of AI models, allowing us to understand the mechanisms behind model predictions. The results of this study are expected to contribute to the development of more efficient and reliable PV systems, as well as open up new avenues for renewable energy utilization. This research also has intriguing epistemological implications, as it demonstrates the potential of AI to assist us in understanding complex systems like energy systems in novel and profound ways.

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