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Arsyad Ramadhan Darlis
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ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika
ISSN : 23388323     EISSN : 24599638     DOI : -
Core Subject : 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 9 Documents
Search results for , issue "Vol 13, No 2: Published April 2025" : 9 Documents clear
Evaluating a Preprocessing Pipeline for Fetal Phonocardiography Using FIR Filtering DAMARDHI, SAHI RAFAEL; FARADISA, IRMALIA SURYANI; SOTYOHADI, SOTYOHADI
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.v13i2.155

Abstract

This study evaluates the effectiveness of a preprocessing pipeline consisting of resampling, normalization, and Finite Impulse Response (FIR) filtering to improve signal consistency for further signal analyses such as feature extraction and classification. Resampling standardizes the sampling rate to 16 kHz, ensuring uniform temporal resolution. Normalization adjusts amplitude across recordings, yielding a mean of 0,0015 and a standard deviation 0,0462. FIR filtering reduces noise, eliminating 77,69% of signal energy above 200 Hz while retaining 29,65% of the main signal. Pipeline evaluation shows a Signal-to-Noise Ratio (SNR) of -1,88 dB, indicating a significant power reduction, but normalization ensures amplitude stability. These results demonstrate that this preprocessing combination effectively reduces noise, although balancing noise reduction and signal preservation remains challenging.
Study and Design of Picohydro Power Plant for Low-Head and Low-Flow Application HAMDANI, DENY; EDYPOERWA, MUGNI LABIB
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.v13i2.200

Abstract

The global energy transition trend has driven the utilization of renewable energy from the surrounding environment, one of which is the irrigation water flow. Picohydro Power Plant (PLTPH) offers a solution to harvest kinetic and potential energy from water flow with low discharge and head. This study designed a PLTPH based on a classic water wheel equipped with an impulsive nozzle, a gradual intake pipe, a booster converter, an MPPT device, and a battery to ensure optimal and stable power output. With a water flow discharge of 0.4 m/s and a head of 80 cm, the PLTPH can generate up to 1,100 W, demonstrating the effectiveness of this technology in supporting energy transition and energy utilization in remote areas.
FedFA: Firefly Algorithm for Communication Cost Optimization in Federated Learning FATH, NIFTY; PURNAWAN, PEBY WAHYU; KRISTANTO, DIDI; MUFIDA, RIDHA
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.v13i2.130

Abstract

Federated Learning is a promising communication model to address data security and privacy issues. Each client device engages in a collaborative machine learning model, eliminating the need to send all client data to the server. However, the main obstacles to applying FL to wireless network communication are limited bandwidth and unstable network conditions. Therefore, this research proposes a new FedFA approach integrating the Firefly algorithm to optimize weight initialization and minimize communication costs. The basic principle of FedFA involves parameters in the Firefly algorithm to select the best weight of each client to be trained on the server. Based on the test results, the proposed algorithm produces an accuracy improvement of 12.84% compared to FedAvg. The FedFA model is also more resilient to unstable communication, as seen from the less significant decrease in accuracy compared to the FedAvg algorithm.
Cognitive Successive Interference Cancellation for Multi-User Visible Light Communication Systems MARSUKI, AMINAH INDAHSARI; PAMUKTI, BRIAN
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.v13i2.185

Abstract

Wireless communication technology continues to face challenges in meeting high bandwidth demands and the capability to serve numerous users. One promising solution is the non-orthogonal multiple access (NOMA) scheme, particularly through the use of power domain (PD) in the application of visible light communication (VLC) technology. However, PD-NOMA still faces power allocation and detection issues at the receiver end. We propose the Cognitive-SIC-VLC method, which considers the line of sight (LOS). Using combined multiplexing techniques, variations in user positions within the system can result in low SNR (dB) values when detecting a BER threshold of 10-3. In three power allocation experiment scenarios, the third scenario was the best with an initial power allocation of 0.95 and a power increment for each user of 0.05. This has been proven to have very low SNR requirements for users close to the LED.
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.
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 2: Published April 2025
Publisher : Institut Teknologi Nasional, Bandung

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

Abstract

Subject Index and Author Index

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