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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,226 Documents
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Enhancing AODV protocol for black hole attack detection and mitigation in VANETs: a lightweight dual-confirmation approach Ahmed Abderraouf; Ramdane Taglout; Sofiane Boukli-Hacene
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 1: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i1.pp252-262

Abstract

Vehicular ad hoc networks (VANETs) represent a specialized category of Mobile ad hoc networks that are specifically designed to enable communication among autonomous (self-driving or partially self-driving) vehicles. These vehicles are equipped with onboard computers, network interfaces, and sophisticated sensors for data capture and processing. Within a VANET, vehicles have the ability to communicate with each other as well as with surrounding infrastructure, thereby exchanging critical messages aimed at enhancing road safety, reducing traffic congestion, and enabling new services and applications for drivers and passengers. Due to its unique characteristics, VANETs have succeeded in enhancing transportation efficiency and safety. However, VANETs are vulnerable to black hole attacks, where malicious nodes discard packets, compromising safety. Existing solutions suffer from high overhead or infrastructure dependence. We propose a lightweight enhancement to AODV using dual-confirmation (RepAck/Info packets) to detect and isolate attackers in real time. Simulations show a 98% improvement in packet delivery ratio under attack, with minimal protocol modifications. While routing overhead increases by 25%, this trade-off ensures reliable communication in dynamic VANETs.
A sub-threshold CMOS temperature sensor circuit core with 2.41 mV/°C sensitivity for ultra-low-power applications (-100°C to 100°C) Abdelhakim Megueddem; Khaled Bekhouche
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 1: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i1.pp40-47

Abstract

This paper presents a sub-threshold complementary metal-oxide semiconductor (CMOS) temperature sensor core for ultra-low-power applications, with the key advantage of reliable operation over an exceptionally wide temperature range from –100 °C to 100 °C, which is rarely reported in existing CMOS-based designs. The proposed architecture operates entirely in the sub-threshold region and is evaluated using circuit level simulations, with validation through comparison to a previously reported temperature sensor. Simulation results show excellent linearity across the full temperature range, achieving a coefficient of determination of R² = 0.99997 and a sensitivity of approximately 2.41 mV/°C. At a supply voltage of 1.4 V and 25°C, the sensor core consumes only 22 nW, highlighting its suitability for energy-constrained applications. These results demonstrate the potential of sub-threshold CMOS temperature sensing for wide-range, ultra-low-power sensing systems.
Towards decision-making and task planning modules for autonomous mini-UAV mission planning in civil applications Asmaa Idalene; Sophia Faris; Hicham Medromi; Khalifa Mansouri
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 1: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i1.pp48-61

Abstract

Autonomous mini unmanned aerial vehicles (UAVs) for civilian applications face a critical challenge: during flight, their mission planning cannot break down complex goals into real-time actions. It’s like having a brilliant strategy with no way to execute it in the moment conditions change. While current solutions can handle basic navigation, they often fail when conditions change. This lack of adaptability seriously limits autonomy in real-world applications, like infras tructure inspection or emergency response. The core problem? Nobody has yet built a system that can think in both layers, combining hierarchical goal decom positions with dynamic tasks without overloading the onboard computer. Our work addresses this gap by introducing an integrated mission planning system with two complementary modules. First: the decision-making module employs recursive goal tree construction to transform high-level mission goals into hier archical sub-goal structures in a systematic manner. Second: the task planning module converts these structured goals into concrete MAVLink command se quences. Together, these modules bridge the gap between abstract mission spec ifications and low-level flight operations while enabling dynamic replanning. To verify if our system actually works, we validated the framework through simulation-based experiments using a Python UAV mission simulator across 50 test runs. The results showed a 94% mission completion rate, with an average planning time of 1.8 seconds for missions with 5 to 8 waypoints. It adapted well to surprises: new targets (100% success), no-fly zones (92% success), and priority changes (96% success). Compared to traditional reactive baseline ap proaches, the framework reduced replanning time by 67%. This tells us that the modular approach is not just theoretically sound but it’s also practically viable for real-world civilian operations.
Fraud detection in financial transactions: state of the art Hamza Badri; Youssef Balouki; Fatima Guerouate
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 1: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i1.pp272-282

Abstract

The surge in digital financial transactions, fueled by the proliferation of online banking, ecommerce, and emerging technologies, has brought significant oppor- tunities and equally critical vulnerabilities. Fraudulent activities have evolved in parallel, leveraging the complexity and global reach of digital systems to exploit weaknesses. This paper investigates the multifaceted nature of fraud in financial transactions, focusing on key types such as credit card fraud, money laundering, insurance fraud, and emerging threats in cryptocurrency systems. In this paper, we establish a state-of-the art overview of fraud detection method- ologies, analyzing their strengths and limitations. Traditional rule-based ap- proaches are contrasted with modern machine learning (ML) models, hybrid frame- works, and the application of advanced technologies. The study highlights the critical role of systems capable of identifying complex fraud patterns while ad- dressing persistent challenges. By synthesizing findings from existing research and evaluating innovative methods, this paper provides actionable insights into enhancing the effectiveness and resilience of fraud detection systems.
Characteristics dipole antenna for partial discharge in gas insulated switchgear Rian Nurdiansyah; Farradita Nugraha; Nadya Glaudira; Linda Faridah
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 1: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i1.pp13-22

Abstract

The insulation condition of high-voltage equipment can be determined by measuring partial discharge (PD), which is an important indicator in insulation degradation. One of the PD detection methods that can be used is to use antennas as sensors in detecting electromagnetic waves generated from PD activities, especially in gas insulated switchgear (GIS) systems. This study focuses on designing and testing dipole antennas in the ultra-high frequency (UHF) frequency range of 300 Mhz-3 GHz to detect PD signals in GIS. Previous studies on dipole antennas with dimensions of 66×15 mm have reported a bandwidth of 336 MHz and a return loss of -22.4 dB at 1.3 GHz. The antenna was fabricated using an FR4-epoxy substrate with a thickness of 1.6 mm, a substrate radius of 102 mm, and a gap distance of 2 mm. Optimization of the antenna length and width significantly improved performance characteristics. Simulation results show that a dipole antenna with dimensions of 35×40 mm antenna produced a wider bandwidth of 989 MHz with a return loss of −28.47 dB at 1.4 GHz. Experimental validation using vector network analyzer (VNA) and PD testing on GIS confirmed that the optimized dipole antenna effectively detected PD activity at a voltage level of 16 kV.
Comparative analysis for different passive filter topologies in grid-tied PV systems Shorouk Elsayed Ibrahim Mehrez; Asmaa Sobhy Sabik; Fady Wadie; Ibrahim A. Nassar
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 1: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i1.pp1-12

Abstract

The enhancement of power quality in grid-connected photovoltaic (PV) systems requires the development of effective harmonic mitigation techniques. This paper addresses the design and evaluation of specific passive filters (RC, LC, and LCL filters) for a three-phase grid-tied PV system, aiming to mitigate harmonics in the power system. The paper also systematically calculates and optimally solves for the components required for the given system. The design of the parameters for all filter topologies within the 100-kW grid-connected PV array is thoroughly elaborated. Each topology is evaluated based on the total harmonic distortion (THD) content, which is obtained using fast fourier transform (FFT), as well as DC voltage and system efficiency. The results are presented to identify the best solutions for harmonic mitigation. The modified filter model demonstrated in this study effectively limits harmonic distortion at the output. It is shown that the proposed design addresses the issue of harmonic distortion in grid-connected inverters for PV systems. The goal of this paper is to identify the most reliable filter for extending the system’s lifespan. The results suggest that the LCL filter is superior, as the system’s DC voltage remained within the rated value and the system efficiency was higher compared to the RC filter. The performance and functionality of these filters were tested using MATLAB/Simulink.

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