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Jurnal Elektronika dan Telekomunikasi
Published by BRIN Publishing
ISSN : 14118289     EISSN : 25279955     DOI : https://doi.org/10.55981/jet.717
Core Subject :
Jurnal Elektronika dan Telekomunikasi (JET) aims to publish high-quality articles with a specific focus on the latest research and developments in the field of electronics, telecommunications, and microelectronics engineering. It will provide a platform for academicians, researchers and engineers to share their experience and solution to problems in different areas of electronics and telecommunication engineering.
Arjuna Subject : -
Articles 309 Documents
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Advanced State Estimations for Gravitational Oil/Water Separator Tanks using a Kalman Filter and Multi-Model Hypothesis Testing Zaid Cahya; Parsaulian Siregar; Estiyanti Ekawati; Irfan Bahiuddin; Dito Eka Cahya; Tsani Hendro Nugroho; Heru Taufiqurrohman; Mohammed Boudaoud
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.682

Abstract

This paper presents a new application of the Kalman filter with Hypothesis testing for a fast and robust model-based estimator for measuring level interfaces of atmospheric gravitational oil-water separator tanks. A newly developed semi-empirical linearized model is applied in the estimator algorithm. A multi-model hypothesis-testing algorithm for covering more scenarios was deployed. The proposed method provides a cost-effective and straightforward solution for estimating all state variables in an oil-water separator. Our evaluation results demonstrate that the proposed algorithm achieves high accuracy with an observation error of less than 2% and a false alarm rate of 3.3% under 50-70% working conditions. Furthermore, the estimator can effectively handle process noise with a 10% feed offset. The proposed platform requires only a few installed sensors yet can accurately estimate unknown parameters. The proposed approach offers a robust and practical soft sensor solution for gravitational oil/water separators
On the Impact of the Number of Tiles and Partitioning of RISs on the Maximum Achievable Intensity Fadil Habibi Danufane; Ashif Aminulloh Fathnan; Raden Priyo Hartono Adji; Arie Setiawan; Prasetyo Putranto
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.687

Abstract

Reconfigurable intelligent surface (RIS) is a key technology to enable the concept of smart radio environment (SRE) which is envisioned to meet the ever-increasing demands of connectivity in the upcoming decade. However, most existing works consider a RIS that is seen as a whole surface. In this paper, we study the performance of a RIS that consists of multiple tiles, each of which is capable of performing certain wave manipulation, by deriving the physics-compliant analytical formulation of the received signal at the receiver. We also introduce the numerical approximation of the signal for different operating regimes and different functionalities. Based on the obtained result, we study the impact of the number of fixed-sized tiles and partitioning of a fixed-sized RIS on the maximum achievable intensity. The validity of our findings is confirmed through extensive simulation results.
Performance Comparison of Particle Filter, Optical Flow, and CSRT in Unsupervised Visual Tracking for Mobile Robots Heru Taufiqurrohman; Abdul Muis; Yusuf Nur Wijayanto; Tsani Hendro Nugroho; Zaid Cahya
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.688

Abstract

This study addresses the challenges of selecting a suitable visual tracking method for real-time mobile robot applications, particularly in scenarios where the target is moving on the ground. The primary research problem addressed is the need for a flexible, computationally efficient tracking method that does not rely on pre-existing labelled datasets, as is often required by deep learning approaches. Unsupervised methods can overcome this problem by utilizing object motion information in each image frame without prior training. With many unsupervised tracking methods available, choosing an appropriate algorithm that can perform efficiently under dynamic conditions becomes a critical problem. The study compares the performance of three unsupervised visual tracking methods: particle filter, optical flow, and channel and spatial reliability tracker (CSRT) under various tracking conditions. The dataset used includes challenges such as moving target variations, changes in object scale, viewpoint changes, suboptimal lighting, image blurring, partial occlusions, and abrupt movements. Evaluation criteria include tracking accuracy, resistance to occlusion, and computational efficiency. The particle filter with ORB and a constant velocity model achieves a root mean square error (RMSE) of 36.47 pixels at 13 frames per second (fps). Optical flow performs best with an RMSE of 10.79 pixels at 30 fps, while CSRT shows an RMSE of 252.35 pixels at 4 fps. These findings highlight the effectiveness of optical flow for real-time applications, making it a promising solution for mobile robot visual tracking in challenging situations.
Comparative Analysis of Charge Recombination Dynamics in Dye-Sensitized Solar Cells with different Counter Electrodes Evi Nur Azizah; Nunik Nurhayati; Lalu Jihad Al Jazeera; Lia Yuliantini; Mohammad Hatta; Tahta Amrillah; Natalita Maulani Nursam; Yuliar Firdaus
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.703

Abstract

Counter electrodes are essential in dye-sensitized solar cells (DSSCs) for facilitating charge transfer and catalyzing the regeneration of the electrolyte, impacting overall efficiency. Common counter electrode materials include platinum (Pt), poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT:PSS), and graphene, each with distinct advantages and challenges. Pt, a traditional choice, offers excellent catalytic activity but is expensive and scarce. PEDOT:PSS, a conductive polymer, is cost-effective and easily deposited but often suffers from high recombination losses and lower efficiency. Graphene, known for its high conductivity and large surface area, is emerging as a promising alternative. However, a lack of comparative studies on how different counter electrode materials influence recombination dynamics limits the understanding needed for optimizing DSSC performance. This study addresses this gap by examining Pt, graphene, and PEDOT:PSS -based counter electrodes, analyzing their effects on charge transfer, recombination behaviour, and efficiency through J-V measurements, charge extraction, and transient photocurrent (TPC) as well as transient photovoltage (TPV) analyses. Graphene-based DSSCs show superior performance, achieving the highest photocurrent density and power conversion efficiency up to 5.12% at an intensity equivalent to 1 sun (100 mWcm-2), due to enhanced charge extraction and minimized recombination. TPC data reveal that graphene supports faster charge transport, while TPV analysis shows longer electron lifetimes than PEDOT:PSS-based DSSCs. In contrast, PEDOT:PSS-based DSSCs exhibit high recombination losses, lower photocurrent, and s-shaped J-V curves, indicating high resistance of limited charge transfer efficiency. These findings highlight graphene’s potential as an optimal counter electrode material for efficient, high-performance DSSCs.
A Robust SMO-PLL Estimation Algorithm for Enhancing Rotor Position Accuracy and Reducing Chattering Issues in Sensorless FOC of SPMSM Nektar Cahayasabda; Sekhul Ishak; Danang Suryo Wibowo; Aulia Rahmah Salsabila; Syifa Fajry Az Zahra; Isyatul Hani’ah; Khoirudin Fathoni; Mario Norman Syah
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.704

Abstract

Recent advancements in sensorless Field-oriented Control (FOC) of Surface Permanent Magnet Synchronous Motors (SPMSMs) have improved system reliability and cost-effectiveness. However, limitations such as speed chattering and inaccurate rotor position estimation remain problematic for Electric Vehicle (EV) applications. This study developed a sliding mode observer-phase locked loop (SMO-PLL) algorithm applied to sensorless FOC in SPMSMs. The SMO predicts the back EMF of the SPMSM, which the PLL then uses for precise rotor position and speed estimation. Simulations conducted in MATLAB Simulink demonstrate that the SMO-PLL significantly reduces chattering and achieves a rotor position estimation error of only 1 rad/min. While the quantitative integral error criteria for SMO-PLL (IAE: 0.0868, ITAE: 0.3069, ISE: 0.0229, ITSE: 0.0834) are slightly higher than those of Field Observer (FO) and Extended Electromagnetic Field Observer (EEMFO), speed control analysis confirms that SMO-PLL delivers a rapid steady-state response with minimal overshoot and oscillation. These findings are crucial for applications where speed stability is essential for passenger comfort and safety, highlighting the SMO-PLL's potential as a robust sensorless control solution for future EVs.
Cardiac Imaging with Electrical Impedance Tomography (EIT) using Multilayer Perceptron Network Amelia Putri Ristyawardani; Marlin Ramadhan Baidillah; Yudi Adityawarman; Pratondo Busono; Mochamad Adityo Rachmadi; Meta Yantidewi; Endah Rahmawati
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.705

Abstract

This research explores the enhancement of Electrical Impedance Tomography (EIT) for cardiac imaging using Multilayer Perceptron (MLP) networks, focusing on supervised and semi-supervised learning approaches. Using synthetic thoracic datasets simulating dynamic cardiac and respiratory conditions, the study demonstrates that supervised learning achieves lower mean squared error (MSE) values (minimum 4.76) and more stable predictions compared to semi-supervised learning (minimum MSE 5.08). However, semi-supervised learning excels in edge accuracy and noise reduction, particularly in regions with sharp conductivity gradients, making it viable for scenarios with limited labeled data. Dropout regularization at 0.3 provided optimal balance, enhancing model generalization and robustness. While supervised learning outperformed semi-supervised methods in overall accuracy, the latter showed potential for cost-effective and scalable applications in EIT-based cardiac imaging. These findings suggest that integrating advanced machine learning with EIT can improve diagnostic accuracy and enable efficient use of sparse labeled data, paving the way for future optimizations and clinical applications.
Implementation of Internet of Things-Based Autofeeder to Maintain Koi Pond Water Quality Helmy Helmy; Suko Tyas Pernanda; Septiantar Tebe Nursaputro; Mona Inayah Pratiwi; Brian Rahmaditya; Clara Silvia Anggreini
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.717

Abstract

Koi fish farming requires careful monitoring of water temperature and pH to prevent adverse impacts on the fish. This study presents a prototype IoT-based autofeeder that integrates real-time water quality monitoring and automatic feeding, controllable via both an Android application and local device buttons. The system allows users to configure feeding schedules, feed throw levels, and durations, as well as set pH thresholds. When the pH exceeds the safe range, the system automatically stops feeding and sends notifications, enabling the user to inspect and maintain pond water quality. The findings demonstrate that the dispensing level significantly influences the feed-throwing distance; higher dispensing levels result in longer distances. Small-sized feed (S) consistently produced the highest output, followed by medium-sized (M) and large-sized (L). Increasing the feeding duration enhanced the weight of the released feed. Additionally, the average delay in sensor data transmission to the database was recorded at 5.48 seconds. The data loss rate during the testing period was 1.72%, which is considered acceptable and does not adversely affect system operations. The data transmission system demonstrated good and stable performance with relatively low data loss.
Preface Vol. 24 No. 2 Salita Ulitia Prini
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.719

Abstract

Appendix Vol. 24 No. 2 Salita Ulitia Prini
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.720

Abstract

Front Cover Vol. 24 No. 2 Salita Ulitia Prini
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.721

Abstract

Page 29 of 31 | Total Record : 309

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