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ELKHA : Jurnal Teknik Elektro
Published by Universitas Tanjungpura
ISSN : 18581463     EISSN : 25806807     DOI : http://dx.doi.org/10.26418
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering
The ELKHA publishes high-quality scientific journals related to Electrical and Computer Engineering and is associated with FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia / Indonesian Electrical Engineering Higher Education Forum). The scope of this journal covers the theory development, design and applications on Automatic Control, Electronics, Power and Energy Systems, Telecommunication, Informatics, and Industrial Engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 302 Documents
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Analysis of Potential Fire Due to Short Current in Semi-permanent Buildings at Tinumbu Street in Aisle 148-149 Makassar City Rahmania, Rahmania; Adriani, Adriani; Rohana, Rohana
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.84748

Abstract

Fires can occur if several other factors are met  heat sources, flammable materials and oxygen. The biggest potential cause of fires in buildings is electricity. This research aims to prove whether electrical short circuits trigger fires in residential homes or semi-permanent buildings, especially in electrical installation equipment. This type of research is quantitative using experimental methods, which are descriptive analysis to determine the effect of a particular treatment on other treatments under controlled conditions, to find out for sure the main cause of the fire. This research show that the mothers' knowledge is quite limited regarding the use of household electricity and the tools used are old enough to cause short circuits. This is also triggered by the use of electrical installations that do not meet PUIL 2000 and SNI standards. Researchers need to provide education to residents, especially housewives, about the effectiveness of using electricity at different times of the day. An explanation of the load distribution system for electrical devices is a top priority in this education. In this education, various forms of explanation and direction are provided regarding the importance of saving energy during peak hours and the importance of knowing the use of energy-saving products (LED lights). With the program to use environmentally friendly and energy efficient household electricity, mothers' understanding of the concept of environmentally friendly PLN will be more developed and more efficient in terms of welfare and family comfort from various environmental threats due to electricity disturbances.
State of Charge Estimation on Lithium-Ion Batteries Using Particle Swarm Optimization Method Dewanto, Muhammad Ridho; Saputra, Riza Hadi; Sugiarto, Kharis; Saputra, Agung Adi
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.90020

Abstract

Lithium-ion battery management is crucial as their use grows in devices and electric vehicles. A key aspect is State of Charge (SoC) estimation, which indicates the battery's charge level at any given time. This research aims to develop a method that can provide accurate SoC estimates for Li-ion batteries using the Particle Swarm Optimization (PSO) method. In this research, a 12V 8.4 Ah Lithium-Ion battery was used as a test subject, utilizing a voltage sensor, ACS712 sensor, and LM35 temperature sensor to measure key parameters such as voltage, current, and temperature. The PSO approach was chosen because of its ability to find optimal solutions in complex search spaces, such as SoC estimation in batteries. Through a combination of the PSO algorithm and data generated from sensors, it is hoped that the SoC estimates produced can improve battery usage efficiency, extend service life, and increase the performance of systems that depend on batteries. PSO can provide more accurate predictions with smaller errors, both in terms of the RMSE value of 0.0391 and the MAPE value of 12.028%. The high accuracy of 87.972% of PSO also shows that this method is reliable for applications that require precise SoC predictions. It is hoped that the results of this research can become a basis for further research in the field of battery management and metaheuristic algorithm optimization. After all, this research aims to enhance battery management systems and deepen understanding of PSO-based SoC estimation.
Analysis of 3 kW Solar Power Plant Production Optimization by Improving Energy Production Efficiency Using 3d Pvsyst Simulation Method Fiqri, Teguh Mohammad; Yacoub, Redi Ratiandi; Kurnianto, Rudi; Rusman, Rusman; Hasan, Hasan
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.89864

Abstract

This study aims to analyze the effect of optimizing the position of solar panels on improving energy production efficiency in a 3 kW solar power plant (PLTS) system. The 3D PVsyst simulation method was used to model the system and predict performance before and after optimization. Simulation results indicate that repositioning the solar panels can increase energy production by 2% (from 0.99 kWh to 1.01 kWh). A comparison between simulation results and actual data shows reasonably good agreement, although some differences require further investigation. Discrepancies between simulation and actual data may be attributed to several factors, such as weather conditions, component efficiency, and other environmental factors. This study concludes that optimizing the position of solar panels is an effective step to enhance the performance of PLTS systems. However, further research is needed to consider additional factors affecting system performance and to develop more accurate simulation models
Analysis of Photovoltaic Panel Performance Integrated with the Grid in a Load-Sharing Scheme Aditya, Agellio Farras; Ulinuha, Agus
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.91191

Abstract

This paper examines the performance of photovoltaic panels integrated into the electrical grid in a load-sharing scheme at Darool Ehsan Muhammadiyah Senior High School, Sragen. The study is part of Universitas Muhammadiyah Surakarta's community service program focused on renewable energy development in educational environments. Unlike previous studies relying on simulated data, this research uses real-time primary data from direct measurements of photovoltaic power production and grid electricity consumption over a specific period. The study"™s innovation lies in analyzing the photovoltaic system within a tropical climate-based load-sharing scheme and comparing energy usage when connected to photovoltaic panels versus when disconnected. It also evaluates the impact of reducing solar energy consumption from the grid. The collected data reveal an estimated daily load of 49.89 kWh, with PLN-supplied energy consistently exceeding inverter-supplied energy. Integration of photovoltaic panels into the grid reduces PLN electricity consumption by up to 30% during optimal sunlight periods, achieving an average system efficiency of 15%. This research offers valuable insights into the potential and challenges of implementing photovoltaic panels in educational settings, emphasizing the importance of climate considerations in system design and optimization. Future studies will focus on techno-economic evaluations of solar power installations and harmonic distortion (THD) analysis for larger-scale implementations.
Wireless Sensor Sub-Network Based IoT System for Probiotic Dosing and Water Quality Management Using Artificial Neural Network Junfithrana, Anggy Pradiftha; Suryana, Anang; Saputri, Utamy Sukmayu
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.96914

Abstract

Water quality management in aquaculture plays a crucial role in maintaining fish health and optimizing growth, particularly in intensive tilapia farming. This study develops a Wireless Sensor Sub-Network (WSSN) based Internet of Things (IoT) system designed to automate probiotic dosing and monitor water quality conditions using real-time sensor feedback and Artificial Neural Network (ANN) analysis. Utilizing TCS3200 color sensors, flow sensors, and an ANN within a WSSN, the system autonomously manages probiotic delivery based on real-time water color analysis, marking a shift towards intelligent water-quality management in aquaculture. The system architecture consists of three primary sensing and control components: a flow sensor connected to an ESP32 microcontroller to measure the precise volume (in milliliters) of probiotic solution dispensed; a TCS3200 color sensor, also integrated with an ESP32 module, to detect variations in water color as an indicator of pond health; and a solenoid valve controlled through a relay-actuated ESP32 node to regulate probiotic release into the pond. The sensor network operates wirelessly to provide continuous monitoring and intelligent decision-making. The ANN employs the backpropagation algorithm to perform color-based classification, where light green indicates a healthy condition, dark green represents normal stability, light brown signals the need for probiotic dosing, and dark brown denotes a critical condition requiring water replacement. This integration of optical and flow sensing with neural network computation provides an intelligent, non-invasive, and adaptive mechanism for probiotic management in tilapia aquaculture, supporting sustainable aquaculture practices and improving operational efficiency through automation and predictive learning.
Optimalization of Load Balancing using Fuzzy Logic to Power Lost Costs in a 1 MVA Transformer Liliana, Liliana; Ullah, Aulia; Aini, Zulfatri
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.97809

Abstract

The 1 MVA transformer at UIN Suska Riau has experienced severe load imbalance, resulting in significant power losses, excessive neutral current, and reduced efficiency that accelerates insulation degradation and shortens its service life. Unlike previous studies that mainly focused on static phase balancing or software-based estimations, this research introduces a real-time load balancing strategy using Fuzzy Logic and projects power loss costs over 10 years. Real-time current measurements were collected over eight consecutive days under peak load conditions and processed through a MATLAB-based Fuzzy Logic system employing triangular membership functions and expert-defined inference rules. The research methodology includes load balancing, calculation of power losses and operational costs, and a comparison of pre- and post-balancing conditions. The results indicate a 95.58% reduction in load imbalance and more than 90% decrease in power losses. Furthermore, the 10-year projection analysis shows long-term operational cost savings of up to 99.65%, while the method also contributes to extending transformer lifetime by preventing overheating and insulation deterioration. The proposed approach enables utilities to mitigate neutral current, reduce energy losses, and lower operating costs across distribution networks.
Techno-Economic Study of a Hybrid Solar-Diesel-BESS Power System in Remote Island, Indonesia: Reducing Energy Costs and Carbon Emissions Umar, Abdullah; Husnayain, Faiz; Rahmat, Ade; Yusmar, Yusmar
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.93893

Abstract

The primary goal of this study is to conduct a comprehensive study of the viability of deploying a Photovoltaic-Diesel Hybrid system on Kaleroang Island, Central Sulawesi, Indonesia. The focus of this study is to identify the system configuration that is able to generate the lowest cost of energy and the lowest emissions. Five distinct scenarios are formulated for development. Scenario A encompasses fully diesel generator (DG), scenario B hybrid system DG and photovoltaic (PV), scenario C includes DG integrated with battery storage, scenario D includes DG, PV, and battery configuration, and scenario E includes PV with Battery. A comprehensive techno-economic study was performed to rigorously ascertain which of these system configurations demonstrates the highest competitiveness in terms of cost-effectiveness and operational viability. The results indicate that scenario D, characterized by a net present cost (NPC) of $5,460,903, exhibits a levelized cost of energy (LCOE) of $0.264/kWh, the lowest among the other scenarios. This configuration has been demonstrated to reduce fuel usage, thereby decreasing CO2 emissions by 32.9%. Furthermore, to ensure optimal results, it is imperative to calibrate the PV tilt angle within the range of 3Ëš to 6Ëš, with the orientation of the PV facing north.
Performance Evaluation and QoS Optimization of LTE-WLAN Aggregation in Small Cell Networks Wijanto, Eddy; Sutanto, Kevin
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.96367

Abstract

The rapid surge in mobile data traffic continues to strain cellular networks, especially in dense urban areas where spectrum resources are limited. Long Term Evolution"“Wireless Local Area Network (LTE-WLAN) Aggregation (LWA), standardized in 3GPP Release 13, provides a promising approach by enabling simultaneous use of licensed LTE and unlicensed Wi-Fi bands. This study evaluates the performance and quality of service (QoS) of LWA in a small cell setting, focusing on the optimization of LTE-to-WLAN traffic ratios. A practical testbed was deployed using an ITRI LTE small cell, a Wi-Fi access point, and dual-connectivity user equipment (UE). Experiments were conducted under multiple aggregation ratios (1:1, 1:3, 2:1), user mobility scenarios, and real-world applications such as YouTube streaming. Key QoS indicators, including throughput, jitter, and bandwidth, were measured with iPerf and Network-Draw tools. Results indicate that a 1:3 LTE-to-WLAN ratio consistently delivers the best throughput and efficient spectrum use, particularly when UEs are located near the Wi-Fi access point. Moreover, application-level buffering and adaptive bitrate mechanisms successfully mitigate lower-layer fluctuations, ensuring seamless video playback. The novelty of this work lies in its real-world dual-user experiments, demonstrating how spatial proximity and traffic distribution jointly influence QoS in small cell environments, thereby offering practical insights for next-generation heterogeneous networks. These findings provide actionable guidance for network operators, showing how optimal traffic ratios and user proximity considerations can be applied to improve QoS, reduce congestion, and support high-bandwidth applications in real-world small cell deployments.
IoT-Based Application Design for Battery Discharge Condition With C-Rate Variation Saputra, Riza Hadi; Giyantara, Andhika; Dewanto, Muhammad Ridho; Sawung, Jheskia Ardito
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.96225

Abstract

Lithium-ion (Li-ion) batteries are one of the most widely used energy storage technologies due to their advantages in high energy density, fast rechargeability, and efficiency. However, behind these advantages lie the weaknesses of lithium-ion batteries, namely that their performance and lifespan are greatly influenced by factors such as C-rate and lithium-ion battery temperature. A high C-rate can increase temperature and accelerate battery degradation, while a low C-rate tends to result in lower temperatures and more optimal capacity. This study aims to design an Internet of Things (IoT)-based State of Charge (SoC) monitoring system capable of real-time battery condition monitoring. The system uses an ESP32 microcontroller connected to a voltage sensor, an ACS712 current sensor, and an LM35 temperature sensor. The collected data is sent to Firebase and displayed through an Android application based on MIT App Inventor. The study focused on discharge cycles with varying C-rates: 1C, C/2, C/5, C/10, and C/20. SoC estimation was performed using the coulomb counting method. The results showed that as the C-rate decreases, the obtained capacity tends to increase, even exceeding the nominal capacity at C/20. Accuracy evaluation using RMSE yielded error values ranging from 0.12% to 4.04%. This system can serve as an effective solution for IoT-based battery monitoring
Analysis and Design of Irrigation Pumps Using Hybrid Solar-Grid Energy with Arduino Uno Control Mangera, Paulus; Cipto, Cipto
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.93635

Abstract

The need for a reliable water supply system and encourages the development of renewable energy technology based on solar power. This study designs and builds a hybrid solar-grid energy system to operate a 12V submersible pump based on an Arduino Uno microcontroller that combines a 200 Wp solar panel energy source and a grid electricity source, with a PWM charge controller and energy storage using a 12V 70Ah lead-acid battery. The 125W submersible pump is the main load for water distribution. Photovoltaic Power Output (PVOUT) map data, Merauke Region has an average annual solar energy potential of 1600"“1800 kWh/kWp, indicating high feasibility for implementing a solar power system. Arduino Uno is used to control the automatic switching system between solar energy and the grid based on the battery voltage level. The test results show that the system is able to operate the pump effectively in sunny conditions without full dependence on the grid, and can switch automatically when the energy from the solar panel is insufficient. The amount of energy coming from the 200 WP solar cell (Pin) is 952.03 W, the amount of energy released by the 200 WP solar cell (Pout) is 145.20 W, with a solar panel efficiency of 15.2%, the average radiation intensity during testing is 732.33 W/m ² with a maximum temperature of 31 °C.

Page 29 of 31 | Total Record : 302

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