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ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika
Published by Institut Teknologi Nasional Bandung
ISSN : 23388323     EISSN : 24599638     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering Engineering
Jurnal ELKOMIKA diterbitkan 3 (tiga) kali dalam satu tahun pada bulan Januari, Mei dan September. Jurnal ini berisi tulisan yang diangkat dari hasil penelitian dan kajian analisis di bidang ilmu pengetahuan dan teknologi, khususnya pada Teknik Energi Elektrik, Teknik Telekomunikasi, dan Teknik Elektronika.
Arjuna Subject : -
Articles 826 Documents
 78   79   80   81   82 
Design and Construction of a Solar Concentrator System as a Small-Scale Electrical Energy Harvester MUSAFA, AKHMAD; CHAN, HERLANGGA PRATAMA; AZZAHRA, CHEISA KURNIA; KHAIRUDIN, DICKY; FATH, NIFTY
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 2: Published April 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i2.140

Abstract

Harvesting solar energy as an alternative source of electrical energy, besides using photovoltaic panels, can also be done with a solar concentrator. This paper discusses the design of a solar concentrator system that uses a parabolic antenna as a small-scale electrical energy harvester. The inner surface of the parabola is coated with a metallized PET film, which is to reflect sunlight to a single focal point on an iron plate attached to a thermoelectric generator (TEG). The TEG functions to convert heat energy into electrical energy. The Peltier SP1848 output voltage will be increased using a boost converter to reach a voltage level that can be used for battery charging. The electrical energy stored in the battery is used to supply the AC power load. The experimental findings indicate that the electrical energy yield of the solar concentrator is 3.8 volts, with an average ambient temperature of 200C.
Indoor Positioning Based on ROS Using an Ultra- Wideband System YUNITA, TRASMA; RIFA’I, AFAF FADHIL; RIDWAN, MUHAMMAD; SURYATINI, FITRIA; BUDIYARTO, ARIS
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 1: Published January 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i1.100

Abstract

Numerous technologies employ indoor positioning applications, including Ultrawideband (UWB) technology that requires excellent accuracy. This research aims to enhance indoor location accuracy in UWB technology with the NodeMCU-UWBBU01 module by integrating a two-way ranging algorithm, moving average technique, and trilateration. The distance between two modules can be determined using the two-way ranging algorithm's Time of Flight (ToF) signal. The moving average approach filters the ToF signal processed on the Robotic Operating System platform for robot movement. The trilateration method converts the distance into position coordinates as the end output. In static and dynamic accuracy assessments, the maximum error in measurement findings is 4.3% within 50 cm to 600 cm. In evaluating coordinate reading accuracy, the mean error is 1.2% on the X-axis and 3.13% on the Y-axis.
Design and Development of a Transceiver Device with a Power Control and Monitoring Application for Boarding House Tenants based on LoRa RAFSYAM, YENNIWARTI; NIXON, BENNY; PUTRI, KHOMALA ERNIA; ANGELICA, MOLLIYANA TOTA; HASANI, RIFQI FUADI; NURJIHAN, SHITA FITRIA; PRASETYA, IRWAN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 2: Published April 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i2.115

Abstract

Electricity costs in boarding rooms are often unfairly distributed because each room is charged the same amount, even though electricity usage varies. To solve this problem, a system was created to monitor each room's power usage more efficiently using Long Range (LoRa) technology. This system uses an ESP32 microcontroller, a PZEM-004T sensor, and LoRa, programmed with Arduino IDE. The sensor collects power usage data and sends it to the boarding house owner over the LoRa network, with accuracy close to 99% in three tests. The data is transmitted up to 150 meters with an RSSI of -107 dBm in non-line-of-sight (NONLOS) conditions and up to 600 meters with an RSSI of -111 dBm in line-of-sight (LOS) conditions. It is also connected to an Android app for easier power management and monitoring.
Implementation of HSV Algorithm for Speed Synchronization of Robot Arm and Conveyor LILANSA, NOVAL; SURYATINI, FITRIA; WAHIDIN, DEDE MOCH. DINAR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 2: Published April 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i2.170

Abstract

Conveyors and robotic arms are often combined in industries for pick-and-place applications. In pick-and-place operations involving a moving conveyor and a robotic arm, accuracy in performing the task heavily depends on the object's coordinate position and the conveyor's speed. This study proposes using the HSV (Hue, Saturation, Value) algorithm and a webcam to synchronize the speed between the robotic arm and the moving conveyor. The HSV algorithm detects objects based on color and enables high-accuracy conveyor speed calculation. The research results show that the system can perform pick-and-place operations with a 90% success rate across various object coordinate positions and different conveyor speeds. Implementing the HSV algorithm provides an efficient solution to enhance accuracy in pick-and-place operation systems.
Real-Time Monitoring System for Solar Power Plants Using PLC and IoT-Based Architecture KHOWARIZMI, MUHAMMAD HAEKAL; SETIYONO, SETIYONO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 2: Published April 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i2.215

Abstract

Integrating renewable energy systems with digital monitoring platforms has become essential for efficient energy management and fault detection. This research presents the development of a real-time monitoring system for Solar Power Plants (PLTS) by integrating Programmable Logic Controller (PLC) and Internet of Things (IoT) technologies. The system uses voltage and current sensors to collect electrical parameters from solar panels, which are processed via a Haiwell PLC and displayed locally on an HMI. Additionally, data are transmitted to a cloudbased IoT platform using a Wi-Fi module, enabling remote monitoring via dashboards. The system was tested using a solar panel simulator under controlled conditions. The results showed accurate real-time data acquisition with an average deviation below 3% compared to benchmark measurement tools. This low-cost and scalable system demonstrates a practical solution for modernizing solar energy monitoring in small to medium-scale installations.
Subject Index and Author Index -, - INDEX
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 3: Published July 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i3.%p

Abstract

Subject Index and Author Index
Comparison of Buck and Synchronous Buck Converters for ANFIS-Controlled Li-Ion Fast Charging SUHARININGSIH, SUHARININGSIH; SUNARNO, EPYK; PRASETYONO, EKA; NUGROHO, MOCHAMAD ARI BAGUS; BAYHAQI, KHAFIDZ
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 3: Published July 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i3.228

Abstract

The research discusses the implementation of a fast charging system on Lithium-Ion batteries by comparing the performance of conventional Buck Converters and Synchronous Buck Converters. Charging is carried out using constant current (CC) and constant voltage (CV) methods with set points of 4A and 16.8V as the targets used, and is equipped with sensors to monitor voltage and current during the charging process. The system is controlled by the Adaptive Neuro Fuzzy Inference System (ANFIS) which is useful for maintaining charging stability at one battery specification with a full capacity of 4.2V voltage and 4A current. Test results show that ANFIS is able to maintain filling parameters within safe limits. In addition, the Synchronous Buck Converter provides better efficiency than conventional Buck Converters in terms of efficiency and controlling voltage fluctuations, so it is more optimal for use in Lithium-Ion battery fast charging systems.
Identification of Sugarcane Fields and Classification of Their Growth Stages using Random Forest on Google Earth Engine SARI, DEWI KANIA; NOVAL, MUHAMMAD SAPUTRA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 3: Published July 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i3.300

Abstract

Remote sensing technology, particularly Sentinel-2 imagery, offers an efficient and large-scale solution for monitoring sugarcane crop growth phases. This study aims to identify sugarcane fields and classify their growth phases in Jatitujuh District, Majalengka Regency, using the Random Forest algorithm on the Google Earth Engine (GEE) platform. Three vegetation indices—NDVI, NDRE, and CIRE—were used as input variables in the classification process. The results indicate that the stem elongation phase is the most dominant, followed by the maturation, fallow, and sprouting phases. The developed classification model achieved an overall accuracy of 80%, with a Kappa coefficient of 65% and an F1-Score of 68%. This study is expected to contribute to the optimization of sugarcane production in Indonesia and serve as a reference for more effective land management and planning.
Design and Construction of 100 WP Capacity Tracker Solar Panel using VDI 2206 Method HARJA, HERMAN BUDI; DIRATAMA, MOHAMMAD YAZID; SURYATINI, FITRIA; FATURROHMAN, MUHAMMAD; NOVIANDANI, PRADIKA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 3: Published July 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i3.243

Abstract

There are main issues in optimizing the energy conversion of solar panels, including (1) the movement of the sun's position and (ii) the best capability of solar panels to capture sunlight, which must be perpendicular to the sun's rays. The objective of this research is to conduct a study into the design and development of a solar panel tracking system, specifically to obtain the effectiveness value of the tracking system. The VDI 2206 method is used in the design, which integrates three main systems: mechanical, electronic, and information technology. Based on the test results, the performance of the solar panel tracker increased by 48.38%. With a tracking system power requirement of 5.51%, the percentage increase in the net energy gain of the tracker solar panel is 40.2% compared to static solar panels. Therefore, solar panel systems equipped with tracking devices are more effective and efficient compared to static solar panels.
Preliminary Study on the Influence of Blade Shape and Quantity in Water Turbines using the INA219 Sensor SAGALA, MONAESA; MAHDALYA, ELLIN ERNITA; SIHOMBING, YOSIA PANDU; ULANDARI, TRESI PITRIA; SULISTIANI, EVI; YULIZA, ELFI; EKAWITA, RISKA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 3: Published July 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i3.314

Abstract

The design of turbine blades plays a crucial role in enhancing the efficiency of converting the kinetic energy of water into electrical energy, particularly on a small scale. This study aims to evaluate the influence of blade shape and number on turbine performance, as well as to compare the accuracy of voltage measurements using an INA219 sensor based on Arduino Uno with a digital multimeter. Four blade shapes were tested: cylindrical, semi-cylindrical, concave oval, and flat plate, each configured with 4 and 8 blades. Tests were conducted under three water flow rate conditions (low, medium, and high) to observe the optimization process of turbine performance. The results showed that the cylindrical blade with 8 blades produced the highest voltage of 1.03 V at high flow rate. The average measurement difference between the sensor and the multimeter was ±0.015 V, indicating good accuracy. These findings confirm that the cylindrical blade is the most efficient, and the INA219 sensor based on Arduino is suitable for use in micro-hydro turbine voltage monitoring systems.

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