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JAREE (Journal on Advanced Research in Electrical Engineering)
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 25796216     DOI : https://doi.org/10.12962/j25796216.v4.i2.116
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
JAREE is an Open Access Journal published by the Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya – Indonesia. Published twice a year every April and October, JAREE welcomes research papers with topics including power and energy systems, telecommunications and signal processing, electronics, biomedical engineering, control systems engineering, as well as computing and information technology.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 175 Documents
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The Selection of Energy Storage in the Southern Sulawesi Electricity System with AHP-TOPSIS Method Indriyanto, Peri; Lystianingrum, Vita
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 9, No 2 (2025): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i2.452

Abstract

In the fourth quarter of 2023, a power deficit of up to 600 MW was observed in the Southern Sulawesi (Sulbagsel) electricity system due to the prolonged El Nino that affected hydropower plants. Based on the 2021-2030 RUPTL, the Sulbagsel system does not allow the addition of renewable energy (RES) plants, except with a battery firming scheme while the construction of fossil-based power plants is also limited by the government. One potential mitigation strategy for PLN (Perusahaan Listrik Negara) is to evaluate the potential application of Energy Storage Systems (ESS) in the Sulbagsel system. The purpose of this research is to evaluate the selection of ESS in the South Sulawesi electricity system through a combination of AHP (Analytical Hierarchy Process) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). The AHP-TOPSIS method is an optimal choice for this evaluation due to its capacity to address complex evaluation scenarios by considering a multitude of comprehensive criteria and conducting weighting analyses to ascertain accuracy and identify optimal solutions. The evaluation criteria encompass technical, economic, environmental, and social considerations, with a total of 15 subcriteria. The alternatives to be evaluated are PHES (Pumped Hydro Energy Storage), BESS (Battery Energy Storage System), and HESS (Hydrogen Energy Storage System). The results of the evaluation demonstrate that PHES is the optimal alternative, with a preference value of 0.68. BESS is ranked second with a preference value of 0.33, while HESS is ranked third with a preference value of 0.20.
Optimal Variable Speed Control of BLDC Diesel Generator to Enhance Fuel Efficiency Sudibyo, Bakhtiar; Suryoatmojo, Heri; Fahmi, Daniar
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 9, No 2 (2025): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i2.460

Abstract

The growing adoption of renewable energy technologies still faces challenges such as instability, intermittent, and limited energy storage capacity. Diesel engine generators, known for their stability and reliability, remain essential as primary or backup power sources, especially in remote areas. However, conventional diesel generators operating at constant speed are inefficient in fuel consumption and produce high emissions. This study investigates the implementation of a variable-speed diesel generator system using a BLDC (Brushless Direct Current) generator controlled by a fuzzy logic-based controller (FLC). The proposed system adjusts engine speed and the duty cycle of the converter to optimize fuel efficiency while maintaining voltage and frequency stability. Simulation results demonstrate that the system reduces fuel consumption by up to 7.6% (0.86 liters/hour) for a 100 kW generator. Additionally, the FLC effectively stabilizes voltage and frequency during load changes and finally enhancing overall system performance.
A Novel 350 MHz Capacitive Soil Moisture Sensor for Precision Agriculture Petrashin, Pablo; Lancioni, Walter; Castagnola, Juan
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 9, No 2 (2025): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i2.455

Abstract

This paper presents a novel soil moisture sensor system based on a Colpitts oscillator operating at 350 MHz. The sensor utilizes the variation in capacitance of a sensing capacitor formed by two electrodes inserted into the soil. As soil moisture changes, the dielectric constant of the soil-water mixture also changes, directly affecting the capacitance and thus the oscillation frequency of the Colpitts circuit. This frequency range (150-500 MHz) was specifically chosen to minimize the influence of soil salinity on measurements, as supported by previous research.The sensor design is simple, consisting of readily available and low-cost components such as capacitors, inductors, and only one RF transistor. This simplicity makes the sensor suitable for mass production using standard PCB fabrication techniques. Laboratory tests were conducted using a GW INSTEK GSP-827 spectrum analyzer and a Digital Electronics L/C Meter IIB to calibrate the sensor and validate its performance. The tests demonstrated a strong correlation between oscillation frequency, capacitance, and soil moisture, as evidenced by the data presented.Key advantages of the system include its simplicity, low cost, low energy consumption, and robustness against soil salinity, surpassing the performance of traditional resistive sensors in conductive soils. The sensor offers potential applications in automated irrigation systems and precision agriculture, enabling optimized water usage and improved crop management. Future research directions include linearizing the sensor's response to enhance measurement accuracy, particularly in soils with high conductivity, and developing biodegradable electrodes using materials like beeswax and soy mixtures, balsa wood, or polylactic acid (PLA) to enhance the sensor's sustainability and minimize its environmental impact
Integration of Liquid Organic Fertilizer Fermentor with Automated Hydroponic Fertilization Based on IoT Zukhri, Muhammad Fakhrudin; Aisyah, Puti Yeni; Wirawan, Yudi; Nainggolan, Tia Yohana; Anandhita, Firda; Hermawan, Muhammad Ivan
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 9, No 2 (2025): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i2.493

Abstract

As urbanization continues to accelerate, particularly in cities like Surabaya, the availability of agricultural land has been steadily decreasing, making food security a growing concern. In response to these challenges, urban farming, particularly through hydroponic systems, has emerged as a promising solution to ensure sustainable food production in limited spaces. However, issues such as the high cost and limited availability of high-quality fertilizers, as well as the difficulty in maintaining a consistent farming schedule, have posed significant barriers. This study aims to address these challenges by integrating IoT-based systems for temperature and pH monitoring, aiming to enhance farming efficiency. The validation results for both the DS18B20 Temperature Sensor and the pH Sensor 4502-C demonstrate their high accuracy and reliability for environmental monitoring. The DS18B20 sensor showed minimal error, with 0.89% for increasing temperatures and 1.34% for decreasing temperatures, achieving 99.11% and 98.66% accuracy, respectively. These results confirm the sensor’s effectiveness in real-time temperature control applications, such as those used in hydroponics and fermentation systems. Similarly, the pH Sensor 4502-C exhibited remarkable performance, with 99% accuracy in the acidic buffer, 98.99% in the neutral buffer, and 99% in the basic buffer. The error rates were extremely low, at 0.002% for acidic and basic buffers, and 0.01% for the neutral buffer, reinforcing the sensor’s reliability for pH monitoring in controlled environments.
Markerless Facial Reconstruction Motion Capture Using Triangulation Method Alwali, Muhammad; Pambudi, Sevito Fernanda; Suciningtyas, Laras; Yuniarno, Eko Mulyanto
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 9, No 2 (2025): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i2.456

Abstract

Motion capture is a popular research topic, with one of its main applications being human face reconstruction. The demand for converting 2D images into 3D reconstructions continues to increase, especially in facial reconstruction, where progress is made in improving the accuracy of facial position prediction. However, there is still a significant gap in developing facial reconstruction technologies that can consistently convert 2D to 3D data with high accuracy, especially in scenarios involving dynamic facial expressions, diverse facial angles, and complex environmental conditions. Therefore, an approach using the triangulation method for 3D face reconstruction in the real world was developed. In the experiments, two cameras were used to obtain two face landmark coordinates so that the triangulation method can be implemented for 3D face reconstruction. This research aims to develop a motion capture approach that is able to accurately and efficiently transform 2D data into 3D face models without the need for complex hardware. The main contribution of this research is the development of a machine learning-based markerless motion capture technique designed to improve the accuracy of face position prediction in 3D face reconstruction from 2D data in realistic environments. This method seeks to bridge the current technology gap by providing a more flexible and reliable solution, expanding the potential applications of motion capture in various fields without dependence on specialized hardware. The results of face reconstruction research using markerless motion capture and triangulation method show RMSE values of 3.560839 for eyes, 1.644749 for nose, and 4.054638 for lips.

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