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JEEE
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Universitas Siliwangi Jl. Siliwangi No.24, Kahuripan, Kec. Tawang, Tasikmalaya, Jawa Barat 46115
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Journal of Energy and Electrical Engineering (JEEE)
Published by Universitas Siliwangi
ISSN : -     EISSN : 2720989X     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
JEEE is a journal that contains research results in the field of Energy and Electrical Engineering. This journal can be used as a source of scientific information for researchers, researcher academia or institution, and government agencies. The topic focused on Power Systems, Control Systems, Energy Management and Electrical Materials. JEEE is published by Teknik Elektro Universitas Siliwangi and managed to be issued twice in every volume on October and April.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 119 Documents
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Operational Analysis of Rooftop Solar Power Plant at SMK Negeri 3 Kupang De Lellis, Rachel Angela; Likadja, Frans James; Galla, Wellem Fridz
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.14330

Abstract

The implementation of 25 kWp On-Grid Rooftop Solar Power Plant at SMK Negeri 3 Kupang is expected to provide a solution to the problem of dependence on conventional energy and reduce school operational costs. Therefore, it is important to conduct an analysis of the Rooftop Solar Power Plant system at SMK Negeri 3 Kupang, in order to optimize the use of renewable energy and reduce school electricity operational costs. This study aims to determine the performance of the Rooftop Solar Power Plant and the amount of savings that occur. The research method used is a descriptive method and direct measurement of the inverter, MDP, LVMDP to measure the current and voltage to obtain the output power of the Solar Power Plant, PLN and load. The results of the study showed that the operational performance of the Rooftop Solar Power Plant can be known through the efficiency of the Rooftop Solar Power Plant at SMK Negeri 3 Kupang which was obtained with a maximum value that occurred on Saturday of 86.96%. The measurement results showed that there were savings in power and bills at SMK Negeri 3 Kupang. With savings for 7 consecutive days of 84.87%; 91.60%; 35.98%; 58.73%; 57.74%; 25.15%; 84.04%.
DESIGN AND CONSTRUCTION OF AN INTERNET OF THINGS-BASED AUTOMATIC IRRIGATION SYSTEM FOR DRY LAND Ramli, Muhamad Hidayat; Ginting, Almido H.; Pollo, Don E. D. G.
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.17005

Abstract

This research aims to design and develop an automatic irrigation system for dry land based on the Internet of Things (IoT) to address limited water availability and improve irrigation efficiency. The system utilizes three ESP8266 microcontrollers—one as the master and two as slave nodes. The slave nodes are responsible for reading soil moisture levels using YL-69 sensors, while the master receives data from both nodes, controls the water pump based on water level data from an ultrasonic sensor, and sends commands to solenoid valves via the slave nodes. The system is connected to the Blynk application for real-time monitoring and control and also displays moisture data on an LCD. Test results show that the system functions as intended, with adequate sensor accuracy and the ability to regulate irrigation automatically based on soil moisture thresholds of 70% and 80%. This system is expected to serve as an efficient solution for sustainable dry land management.
ESP32 Real-Time Smoke Detection Integrated with WhatsApp in Tamansari, Karawang Nurdiyanto, Furkhon; Hafid, Izzul; Nurhayati, Syifa Silvia; Fadilah, Syarifah Nur; Saragih, Yuliarman
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.15579

Abstract

This research develops an air quality monitoring system based on the ESP32 microcontroller, utilizing an MQ2 gas sensor and a DHT22 temperature-humidity sensor. The system is designed to monitor gas concentration and environmental conditions (temperature and humidity) in real-time in Tamansari Village, an area known for frequent open burning activities. Sensor readings are periodically transmitted to users via WhatsApp notifications using the CallMeBot API, providing early warnings when potentially hazardous gas levels are detected. Test results indicate that the system effectively detects changes in gas concentrations and temperature with reasonable accuracy and delivers timely alerts. Thus, the system can function as a supportive tool in mitigating air pollution risks in the study area.
Classifying Object Size in an Arduino-Based RADAR System Using an IR Sensor and I2C-LCD Uddin, Mohammad Iftekher; Barua, Robin
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.16795

Abstract

The radio detection and ranging (RADAR) system uses electromagnetic waves to measure the distance and direction of an object. The IR (infrared) sensor uses infrared light to detect an object. This study uses the IR sensor to classify the size of an object in an Arduino-based RADAR system. A binary logical method classifies the size of an object as either long or small. The result is displayed on a liquid crystal display (LCD). An I2C module is used to easily connect the LCD to the Arduino. The system has been simulated in Proteus software to verify the Arduino code. The Arduino-based RADAR system with size classification has been implemented using two IR sensors, an ultrasonic sensor, an LCD, and a servo motor. Two IR sensors have been used at different heights to classify the size of an object. A Java application is used to visualize the RADAR system on a PC in a graphical user interface (GUI), which shows the moving object in real-time. The ultrasonic range is programmed at 40 cm to detect objects. The system can detect objects in the 40 cm range and between 0 and 180° angles.
Design of a Mamdani Fuzzy Logic Prototype System for Free-Range Chicken Egg Incubators Manullang, Maribeth Adventina; Arihta, Michael; Rahmadewi, Reni
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.15806

Abstract

This research aims to design a temperature and humidity control system for chicken egg incubators using the Mamdani Fuzzy logic method. The main problem addressed is the fluctuation of temperature and humidity in conventional systems that still rely on on/off control. The developed system utilizes DHT sensors as temperature and humidity gauges, Arduino as a microcontroller, and regulates the light intensity of incandescent lamps using an AC dimmer. Mamdani Fuzzy Logic is used to process two inputs, namely temperature and humidity and produce an output in the form of the brightness level of the incandescent lamp. The system relies on nine Fuzzy rules in making decisions based on variations in input conditions. The test results show that the system is able to provide appropriate responses to changes in temperature and humidity, and produce outputs in accordance with the designed rules, such as Rule R1, R5, and R9. Thus, this system succeeds in maintaining the stability of the temperature in the incubator, so as to increase the efficiency and success of the egg hatching process. Overall, the application of Mamdani Fuzzy Logic proved effective in designing an intelligent control system for the incubator.
UTILIZATION OF ROVER AI AGENTS FOR PALM OIL PLANTATION AUTOMATION Aryanto, Aryanto; Putri, Novia Utami; Janara Brata, I Nengah Marccel
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.13033

Abstract

ABSTRACT: The integration of artificial intelligence into autonomous rover systems represents a paradigm shift in how palm oil plantations can be managed and operated. Our research explores the deployment of intelligent rover agents that combine sophisticated machine learning algorithms with advanced robotics to transform traditional agricultural practices. Through extensive field trials spanning 500 hectares of operational plantations, we observed remarkable improvements in disease detection accuracy, reaching 94 percent. At the same time, pesticide consumption decreased by 87 percent through the use of precision application techniques. The system architecture leverages edge computing capabilities to process multispectral imagery and environmental sensor data in real-time, enabling an immediate response to detected anomalies. Deep reinforcement learning guides the navigation system, allowing the rovers to autonomously traverse complex plantation terrain, while convolutional neural networks analyze plant health indicators with unprecedented precision. Communication between multiple rover units occurs through a federated learning framework that preserves bandwidth and enables collective intelligence growth without compromising data privacy. This comprehensive approach yielded a 35% increase in overall operational efficiency, underscoring the transformative potential of AI-driven automation in tropical agricultural environments. KEYWORDS: AI agents, autonomous rovers, deep learning, edge computing, palm oil automation, precision agriculture
Poisson's Approach to Useful Life Analysis of Transmission Lines Sutisna, Sutisna; Priatna, Edvin; Widiyasono, Nur
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.16840

Abstract

ABSTRACT: Reliability is defined as the probability of a device or system performing its functions adequately over a period of time under certain operating conditions. Component failure can impact the power supply to customers, and result in high costs associated with loss of power supply and or replacement of components. This article implements the Poisson model in estimating the reliability value of the electric power grid to obtain the useful life of each load bus. This useful life period as an indicator of the period of preventive maintenance. With the estimation of the reliability value using the Poisson Method is shown by obtaining maximum probability which is the best end of system performance. This method was tested on the IEEE 14 bus diagram system. As a sample of the maximum probability test results in bus_2, bus_3, and bus_5 occurred in 14th year, 9th year, and 11th year KEYWORDS:. Reliability Value, Poisson Method, Useful Life
Implementation of YOLOv8 for Classifying Fertile and Infertile Eggs in the Chicken Hatching Process Arihta, Michael; Manullang, Maribeth Adventina; Hanafi, Zikri; Rahmadewi, Reni
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.15774

Abstract

This study aims to develop an embryo detection system in chicken eggs using the YOLOv8 algorithm based on computer vision. This approach is proposed as a solution to the manual candling method which is often inaccurate and time consuming. The dataset used amounted to 4,396 chicken egg images, consisting of fertile and infertile categories. The model was trained using Google Collaboratory with GPU support, where the model was trained for 100 epochs to maximize accuracy. The evaluation results show that the YOLOv8 model is able to detect embryos with a high level of accuracy, indicated by a precision value of 93.2%, mean average precision (mAP) of 98.5%, and recall of 87.2%. The fertile category was successfully detected with a precision of 100% and a recall of 94.2%, while the infertile category had a precision percentage of 86.4% and a recall of 100%. These findings prove that the YOLOv8 algorithm can be effectively implemented to automate the selection process of fertile and infertile eggs, thereby improving efficiency and accuracy in the livestock production process.
Design of an Internet Of Things-Based Air Quality Monitoring Tool Using Microcontroller and MQ-135 Sensor Tianto, Akbar Waqis; Ramandha, Raina Putri; Firdaus, Reikhan; Firmansyah, Zidan Inov; Arif Cahyono, Muhammad Ridwan
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.14162

Abstract

Poor air quality caused by industrial pollution poses a significant challenge for the Politeknik Gajah Tunggal campus, located in Tangerang's industrial area. To address this issue, this study developed an Internet of Things (IoT) based air quality monitoring device utilizing an Arduino Uno microcontroller, ESP-8266, and MQ 135 sensor. The device detects various pollutants, including CO, CO2, and other harmful gases, with real-time data displayed through a Kodular based application. Tests conducted under various air conditions demonstrated the device's high accuracy in pollutant detection. Indoor air tests recorded an average of 42 ppm (good category), while outdoor air tests averaged 48 ppm (good category). Exposure to cigarette lighter gas produced a maximum value of 880 ppm (severe category), and burning paper smoke yielded an average of 295 ppm (poor category). Consistency between the LED P10 display and the Kodular application results reached 100%. Overall, the device delivers quick and accurate air quality information, enhancing user awareness by up to 90%, as indicated by post-implementation surveys .

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