JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
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Analysis of Damage Handling in The PT Petrokimia Gresik Factory Conveyor Safety System Using The Naive Bayes Method: Analisa Penanganan Kerusakan Pada Sistem Pengaman Konveyor Pabrik PT Petrokimia Gresik Menggunakan Metode Naive Bayes
Full text linkIn the industrial world, the speed of the production process plays a very important role in influencing industrial profits. One of the factors that determines production speed is the conveyor. PT. Petrokimia Gresik is one of the industries that uses conveyors, which pays great attention to accuracy and control of material speed. The function of the conveyor is to send raw materials from PT Petrokimia Gresik fertilizer to be processed. Three safety devices are installed on this tool, namely the low speed switch, outlying belt and cable pull switch. However, this complex security system makes it difficult for field technicians to handle conveyor problems. Problems that occur with conveyors, especially in the electrical and instrumentation parts, are sometimes difficult to find. Therefore, the author had the idea to conduct research related to conveyor problem solving analysis using the naive Bayes classification method. The results of the calculation between naive Bayes calculations and expert opinion show 100% agreement, which is an optimal result. It is hoped that these results can help field technicians in diagnosing and resolving problems when problems occur with conveyors
Design of Automatic Cooker Hood Using NodeMCU: Rancang Bangun Automatisasi Alat Penghisap Asap Dapur (Cooker Hood) Menggunakan NodeMCU
Full text linkAcute respiratory distress syndrome (ARDS) poses a significant health risk due to long-term exposure to carbon monoxide-containing kitchen fumes. Installation of a cooker hood or kitchen smoke extractor with an automated fan is crucial for prevention. This study employed a research and development approach to evaluate the effectiveness of utilizing the NodeMCU ESP8266, MQ-7 sensor, 16x2 I2C LCD, and overall system configuration. Experimental results revealed the MQ-7 sensor's rapid response to smoke intensity changes, with an average 3.77-second response time and a range of detection up to 10cm. Relay testing for fan speed control, using three voltage inputs (5V, 9V, and 12V), categorized conditions as SLOW (PPM>10), MED (PPM <11 & >20), and HIGH (PPM>21). The tests demonstrated optimal performance, as the system successfully adjusted fan speeds based on varying smoke intensity levels, ensuring a healthy air quality environment
Implementation of the EAR Method in Detecting Drowsiness in Vehicle Drivers: Implementasi Metode EAR Dalam Mendeteksi Kondisi Mengantuk Pengemudi Kendaraan Bermotor
Full text linkBased on data from Polda Metro Jaya Traffic Sector, the number of traffic accidents throughout 2020 was 7,565. With a factor of 1,018 drowsy drivers or 13% of the total incidents. A solution is needed for that. The aim of this research is to calculate the average value of the duration of detection time and the number of flashes per minute, by knowing when the driver is drowsy or not drowsy. The method used is Eye Aspect Ratio (EAR), where the driver will be detected whether he is sleepy or not, by analyzing the parameters of the number of blinks per minute and the duration of the blinks. If the eyes are open (EAR value) less than 0.45 and more than or equal to 3 seconds in one blink, it is categorized as sleepy. Tests were carried out on lighting, namely: morning, afternoon, evening and night light. Test results in daylight and evening light conditions with a light intensity value of 78 lux mean the duration of drowsiness detection is 3.26 seconds and the difference in time duration with the reference theory is 0.26 seconds. Meanwhile, for night light with a light intensity value of 15 lux, the average duration of drowsiness detection is 4.04 seconds and the difference in time duration with the reference theory is 1.04 seconds. Meanwhile, the number of blinks per minute when you are sleepy is 5-8 blinks/minute and when you are not sleepy it is 13-17 blinks/minute, for morning, afternoon, evening and night light conditions. It can be concluded that overall, this system can work well for day and evening and night light conditions
Determining PID Parameters For Temperature Control System in Cavendish Banana Storage Room : Menentukan Parameter PID Untuk Sistem Kendali Suhu Pada Ruang Penyimpanan Pisang Cavendish
Full text linkBanana is one of the most popular fruits in Indonesia, and its freshness will be the top priority for consumers in choosing it. After packaging, special treatment needs to be done in the banana storage room. One of them is to keep the temperature of the storage room stable. The temperature of the room between 5oC to 10oC is the ideal temperature for storing bananas, the Control system offered is PID with the Ziegler-Nichols method to get the values of Kp, Ki and Kd. Determination of Kp, Ki and Kd values is very important to get good system stability and a small error. The tuning rule of Ziegler-Nichols 1 method can be applied to obtain the values of Kp, Ki and Kd. With several steps taken, the values of L = 90s and T = 206s are obtained and referring to the Ziegler-Nichols 1 table, the values of Kp = 2.7, Ki = 0.015 and Kd = 121.5 are determined
Analysis of The Impact of Temperature and Discharge Current on The Efficiency of LiFePO4 Batteries in Solar Charging Stations
Full text linkThe demand for electrical energy is increasing, along with technological advancements and population growth. Many countries still rely on petroleum, coal, and aerosol gasoline, exacerbating global warming. Electric vehicles offer a promising solution to reduce greenhouse gas emissions and dependence on fossil fuels, although their primary challenge is the availability of charging infrastructure. Solar-powered electric motor charging stations can help reduce electricity demand and global warming. An efficient charging system is needed to analyse the impact of temperature and discharge current on the energy produced to achieve this. Several load tests and temperature measurements over 5 days were conducted to cluster temperatures occurring throughout a full day. The tests using data acquisition showed energy losses caused by the effect of temperature on the charging station's storage battery. Energy efficiency graphs for each test case indicated a varied decrease in energy efficiency, with higher efficiency at lower temperatures and smaller energy losses compared to other temperatures. The load amount also affects the magnitude of energy losses. At a 500W load, the average energy loss was 46Wh, while at a 1000W load, the average energy loss was 52Wh per hour of testing the storage battery discharge. In summary, temperature and load amount can affect energy efficiency and the resulting losses
Performance Analysis of the 1 MW Rooftop Solar Power Generation System at the Karawang: Analisa Kinerja Sistem Pembangkit Listrik Tenaga Surya Atap 1 MW di Daerah Karawang
Full text linkElectric energy is crucial for development, with Indonesia's projected electricity demand reaching 120 GW by 2025. The National Energy Policy emphasizes the development of renewable energy, particularly Solar Power Plants (PLTS), which have rapidly advanced with increased efficiency and reduced production costs. PLTS has become an attractive option, especially in areas with high solar intensity, for applications such as home lighting and vaccine storage. The target PLTS capacity is 400 MW by 2024. Despite growing popularity, challenges such as high initial costs and efficiency in unstable weather conditions remain. Research shows that environmental factors and shading can affect PLTS performance. This study analyzes the performance of a 1 MW PLTS system at a ceramic factory in Karawang using Global Solar Atlas and PVsyst for simulation and comparison with field data. Simulation results indicate optimal power production >90% with a performance ratio between 81.90% and 84.70%. The built PLTS shows a stable performance ratio above 79%, with power production differing by <10% compared to PVsyst simulation, demonstrating system reliability in actual operational conditions. This research underscores the importance of environmental factors in PLTS design and operation to achieve maximum efficiency
Electric Bicycle Battery Charging System Design Using Solar Panel: Rancang Bangun Sistem Pengisian Baterai Sepeda Listrik Menggunakan Panel Surya
Full text linkThis solar-powered electric bicycle charging system design and development uses solar panels as a renewable energy source to charge the battery, which drives the electric motor. The system consists of four main components: solar panel, solar charge controller, battery, and electric motor. The solar panels are connected in parallel to generate 36V, which is then stored in the battery. The system is designed to optimize energy harvesting and reduce dependence on fossil fuels. Testing was conducted with research stages, including system design, hardware implementation, and testing. The results show that the system can charge the battery efficiently, with a charging time of 3 hours. The system was also tested under different conditions, including morning, afternoon, and night, to evaluate its performance. It can be concluded that the solar-powered electric bicycle charging system is a viable alternative to traditional fossil fuel-based systems. The system is environmentally friendly, reduces energy dependence, and provides a sustainable solution for transportation. The results of this research can be used to develop a more efficient and sustainable transportation system
Optimization of Harmony Improvement in Led Lights Using The MQPSO Method: Optimisasi Perbaikan Harmonisa Pada Lampu Led Menggunakan Metode MQPSO
Full text linkCurrently, there are many types of lighting used in the lighting field, one of which is LED lighting. Harmonics is a phenomenon in the electrical system that causes quality disturbances because the current waveform or voltage of the power source is distorted and can cause disturbances in the electrical system. In this research, mathlab was used with the MQPSO method to optimize LED lamp harmonics and reduce the THD value. This method uses a series of LED lighting components to optimize harmonic values. The components that make up the LED light circuit in question are resistors, capacitors and inductors. The optimization results show the best R, L, and C values โโin the 53rd swarm (particle), and convergence values โโare achieved in the 17th iteration with a fitness value of 0.5 and an R1 value of 550 ฮฉ, and R2 530 ฮฉ, R3 220 ฮฉ, C1 1.0409 ฮผF, C2 1.0117 ฮผF, C3 1.0221 ฮผF, L1 4.9984 H. The resulting THD and C-RMS values โโare 1.4901% and 61.674%
DC Motor Speed Control using Particle Swarm Optimization based on Labview
Full text linkIn Industrial applications, DC motors are commonly applied because of high reliability, ease of control and ability to provide accurate speed. However, to get accurate speed control under several operation conditions such as disturbances and changes in the load is significant challenge. This research explores the implementation of particle swarm optimization (PSO) to tune parameters of proportional-integral (PI) controller. PSO that is a population-based optimization technique, is inspired by the social behavior of swarms. It is a population-based optimization technique. By automation process in the algorithm. Using the tuning process of PSO, it can effectively obtain the parameters of PI controller. experimental hardware using DIGIAC 1750 is used to assess the performance of the proposed method. The parameters of and are 0.7492 and 0.2007, respectively. The results show that the performance of the DC motor using PSO tuned by PI for , , and are 0.3687 s, 0.5106 s, and 0.6051 s, respectively. Furthermore, when the system is given a disturbance, the response can come back again following the setpoint and when the setpoint is changed, the response can follow the setpoint quickly as well. The proposed method can address the challenges associated with DC motor speed control
Analysis Potential of Solar and Wind as Power Plant in Bontang Kuala Using Software Homer: Analisis Potensi Energi Matahari dan Angin Sebagai Pembangkit Listrik di Bontang Kuala Menggunakan Software Homer
Full text linkThe increasing need for electrical energy is becoming a problem due to limited fossil energy, so it is necearry to know locations that have the potential to generate electricity from renewable energy. This study simulates and analyzes the potential of solar and wind energy in Bontang Kuala as a power plant using Homer software. Load planning uses a peak load of 38,44 kW and usage of 471,56 kWh/day from the results of a survei conducted at one of the RTs in Bontang Kuala. The simulation produces three optimal configurations of three types of generators, namely Solar Cell, Hybrid Power Plant and Wind Power Plant. The most optimal configuration is the Solar Cell system with the smallest NPC value of Rp3,6 B and this system has a solar panel capacity of 142 kW, a battery capacity of 461 kWh and an inverter capacity of 50 kW