cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
I Gde Dharma Nugraha
Contact Email
i.gde@ui.ac.id
Phone
+6281558805505
Journal Mail Official
ijecbe@ui.ac.id
Editorial Address
IJECBE Secretariat Electrical Engineering Department, Faculty of Engineering, Universitas Indonesia Kampus UI Depok, West Java, Indonesia 16424
Location
Kota depok,
Jawa barat
INDONESIA
International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
Published by Universitas Indonesia
ISSN : -     EISSN : 30265258     DOI : https://doi.org/10.62146/ijecbe.v2i1
Core Subject : Health, Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Materials Science & Nanotechnology Medicine & Pharmacology
The International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE) is an international journal that is the bridge for publishing research results in electrical, computer, and biomedical engineering. The journal is published bi-annually by the Electrical Engineering Department, Faculty of Engineering, Universitas Indonesia. All papers will be blind-reviewed. Accepted papers will be available online (free access) The journal publishes original papers which cover but is not limited to Electronics and Nanoelectronicsc Nanoelectronics and nanophotonic devices; Nano and microelectromechanical systems (NEMS/MEMS); Nanomaterials; Quantum information and computation; Electronics circuits, systems on chips, RF electronics, and RFID; Imaging and sensing technologies; Innovative teaching and learning mechanism in nanotechnology education; Nanotechnologies for medical applications. Electrical Engineering Antennas, microwave, terahertz wave, photonics systems, and free-space optical communications; Broadband communications: RF wireless and fiber optics; Telecommunication Engineering; Power and energy, power electronics, renewable energy source, and system; Intelligent Robotics, autonomous vehicles systems, and advanced control systems; Computational Engineering. Computer Engineering Architecture, Compiler Optimization, and Embedded Systems; Networks, Distributed Systems, and Security; High-performance Computing; Human-Computer Interaction (HCI); Robotics and Artificial Intelligence; Software Engineering and Programming Language; Signal and Image Processing. Biomedical Engineering Cell and Tissue Engineering; Biomaterial; Biomedical Instrumentation; Medical Imaging.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 83 Documents
 5   6   7   8   9 
Illicit Cryotocurrency Investigation Digital Forensic Framework: Integrating Off-chain and On-Chain Analysis for Two Types of Crime Regina, Oliva; Ramli, Kalamullah; Amarullah, Abdul Hanief
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 2 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i2.135

Abstract

Cryptocurrencies have emerged as integral components of modern financial ecosystems, yet their pseudonymous nature poses significant challenges for digital crime investigations. This study proposes the Illicit Cryptocurrency Investigation Digital Forensic Framework, a novel model that integrates both on-chain and off-chain forensic techniques into a cohesive investigative process. Unlike prior research that treats blockchain analysis and conventional digital forensics separately, this framework combines blockchain transparency with contextual digital artifacts to form a unified approach. Validated by expert judgement from digital forensic practitioners, the framework is designed to address two primary crime scenarios: Type A, where investigations begin with suspect-owned devices; and Type B, where blockchain transactions provide the first investigative lead. The framework’s structured process—from identification to reporting—ensures evidentiary integrity, traceability, and legal admissibility. Beyond its practical application, the study lays groundwork for future developments, including the integration of artificial intelligence and cross-border legal interoperability in cryptocurrency-related crime investigations
Development of Disturbance Type Detection Using Convolution Neural Network for Fault Signature Analysis Putra, Kharisma Darmawan; Garniwa, Iwa; Jufri, Fauzan Hanif; Oh, Seongmun
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 2 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i2.136

Abstract

The development of technology in electrical systems is growing rapidly, increasing power system complexity, which causes the operation and maintenance of the power system networks to become more complicated, especially when a disturbance occurs in the networks. To overcome the issue, there is a need to utilize the tools available as much as possible to manage the power system networks. Nowadays, the power system network is equipped with protection relays and controls that provide various data about the systems, such as the Disturbance Fault Recorder (DFR), which monitors and records the system’s characteristics during network disturbance events. DFR holds information on the system’s parameters during a fault, but it cannot recognize the type or cause of the disturbance. Hence, this paper proposes a method based on the Convolution Neural Network (CNN) model to analyze the DFR’s data and determine the type/cause of disturbance so it can be used to manage the follow-up actions properly. Based on the research results, CNN, with six types of disturbance classification, has an accuracy of 93,87%. Based on the results obtained, the accuracy of CNN using the VGG19 type in handling disturbance analysis in graphical patterns is satisfactory.
Comparative Analysis of Breakdown Voltage, Temperature Rise, and Production Cost of Using Mineral Oil and Synthetic Ester in 33 MVA 132/33 kV Power Transformers Khusuma, AB Rendra; Indarto, Agus; Hudaya, Chairul; Setiabudy, Rudy; Husnayain, Faiz
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 2 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i2.139

Abstract

In support of achieving the net zero emission target in the power sector, the selection of environmentally friendly transformer insulating oil is very important. This study presents a comparative analysis of the dielectric and thermal performance between mineral oil and synthetic ester oil. The breakdown voltage (BDV) test was conducted with a variation of rest time of 1 minute and 10 minutes. In addition, temperature rise tests were conducted on a 33 MVA capacity power transformer with a voltage of 132/33 kV. Temperature rise testing is carried out on synthetic ester oil and mineral oil through thermal simulation with identical transformer specifications, the goal is that there are no distinguishing variables in the test. The test results show that at a rest time of 1 minute, synthetic ester oil produces fluctuating BDV values, with some data being below the minimum threshold of 60 kV according to IEC 61203 standards. In contrast, mineral oil (MO) showed stable and consistent dielectric performance. At a rest time of 10 minutes, both types of oil showed stable BDV values with low standard deviations. In terms of thermal performance, mineral oil produced a lower temperature rise than synthetic ester oil (SE), indicating better cooling efficiency. The study will also analyze the impact of transformer dimensions due to the different transformer oils used, which will result in the price of the transformer. The findings provide technical insights for manufacturers and users in selecting transformer oils that support environmental sustainability without compromising the reliability of power transformers.
DEVELOPMENT AND OPTIMIZATION OF SIMPLE-O: AN AUTOMATED ESSAY SCORING SYSTEM FOR JAPANESE LANGUAGE BASED ON BERT, BILSTM, AND BIGRU Junaidi, Muhammad Aidan Daffa; Ratna, Anak Agung Putri
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 3 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i3.100

Abstract

This study aims to develop an Automatic Essay Scoring System (SIMPLE-O) for Japanese essays, consisting of five short essay questions. SIMPLE-O is designed to enhance scoring accuracy by leveraging deep learning models such as BERT, BiLSTM, and BiGRU. The research evaluates deep-level score predictions for each question, rather than only considering the total score across the five questions, to provide more reliable and accurate assessments. SIMPLE-O compares student responses with three predefined answer keys using two similarity measurement methods: Cosine Similarity and Manhattan Distance. The study employs datasets developed through data augmentation techniques applied to lecturer and student responses. The system is implemented using Python, and its performance is evaluated through analyses of various architectures based on specified hyperparameters. The best results were achieved using a BERT-BiLSTM architecture with the Cosine Similarity method, configured with a batch size of 8, 256 hidden state units, a learning rate of 0.00001, and 100 epochs. The evaluation demonstrated that this approach achieved a Mean Absolute Percentage Error (MAPE) of 7.230% and an average score difference of 5.689. This research highlights the potential of SIMPLE-O for automated scoring of Japanese essays, offering improved accuracy, reliability, and deeper analytical insights.
Risk Assessment of Solar Power Plant Development in Indonesia Using The Analytic Hierarchy Process Method Ginting, Frederick Sakaja; Garniwa, Iwa
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 3 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i3.110

Abstract

The Ministry of Energy and Mineral Resources is committed to building Solar Power Plant in Indonesia with the aim of increasing the national electrification ratio and ensuring equitable energy access, especially for people who have not enjoyed electricity. This study aims to determine what risk factors exist in the construction of Solar Power Plant and conduct a risk assessment using the Analytic Hierarchy Process (AHP) method. The results of the analysis show that there are 7 criteria and 38 risk sub-criteria. The project risk criterion has the highest weight with an expert value of 25.2%, self-assessment 36.9% and employees 2.2%. In the sub-criteria, the provider is late in completing the work, it has the highest weight with an expert value of 6.7%, self-assessment 10.6% and employees 0.1%.
Modernizing Voting Systems: A Comprehensive Approach Using Blockchain, Biometrics and Zero Knowledge Proofs Kumar, Narendar; Kumar, Surendar; Waqar, Abdul; Ngantung, Clavincy Francis Yohanes
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 3 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i3.116

Abstract

This research article provides the design of an in-person and remote voting system, while at the same time ensuring the privacy of users that would guarantee openness, transparency, and at the same time fraud-free results. The aim is to solve various common problems associated with most conventional elections including fraud, vote manipulation, through adaptation of the usage of a safe, highly transparent decentralized logical Hyperledger Fabric-based system provided by blockchain implementation. The methodology in this article is to be implemented for the sheer reason of urgency needed in making a more secure and transparent system for voting, considering even the rising frauds in elections. The addition of Zero Knowledge Proof (ZKP) guarantees that votes are confident and correct, yet anonymous between a voter and their vote. Biometric identification makes the system resistant to double spending. This incorporation of technologies ensures there is privacy and immutability against the double transactions, which, in turn, would be put in place as foundation for the future to be provided wherein every process in an election becomes safe and transparent. Innovation via creating a voting system to be trusted to meet today's demands and set standards for future electoral processes.
Reliability Assessment of Interconnected Substations Using the Reliability Block Diagram Approach Hermoyo, Ganis; Fitri, Ismi Rosyiana; Widyanto, Aji Nur
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 3 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i3.123

Abstract

The reliability of substations plays a crucial role in maintaining the continuity and stability of power supply in transmission systems. This study evaluates the reliability level of two interconnected 150 kV substations using the Reliability Block Diagram (RBD) approach. The RBD model is applied to map the actual component configuration, from major component levels to the system level, based on operational age and component failure rate data. Simulation results show that System1 has a reliability value of 0.907735, while System2 reaches 0.979424. This discrepancy indicates a potential for reliability improvement through component rejuvenation strategies. A scenario simulating the replacement of critical equipment successfully increased the reliability of system1 to 0.980168 and raised the overall reliability of the interconnected system to 0.959989. These findings suggest that a prioritized maintenance or renewal of component strategy targeting critical component can significantly enhance the overall reliability of the transmission system.
Analysis of Single Phase to Ground Faults Caused by Animals on Energy Not Served (ENS) in the Sumatera System Januarsyah, Ginanjar; Widyanto, Aji Nur; Husnayain, Faiz
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 3 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i3.124

Abstract

Animal disturbances on the High Voltage / Extra High Transmission Air Lines (SUTT / SUTET) in the work area of PT PLN (Persero) Sumatra Load Regulation and Distribution Center Main Unit (UIP3B Sumatra) during the period 2020-2024 have caused 208 animal disturbances on transmission lines and 35 animal disturbances on power transformers. This study provides information on mitigating animal interference, analyzing trends or patterns of animal habits that cause interference, and providing information on Energy Not Served (ENS). The data covers the period from 2020 to 2024, with a focus on evaluating the types of animals causing interference, the frequency and duration of outages, load data at the time of interference and the effectiveness of mitigation implemented, including recording the date, location, animal species, event classification, causal factors and response actions taken. This approach aims to improve understanding of the impact and behavior of wildlife on energy supply and to improve reliability and reduce the number of ENS.  The results showed that the behavior of each animal was consistent with the fault data analysis, and the largest amount of undelivered power was monkeys 629.15  MWh, followed by birds 391.167 MWh and 358.04 MWh. Reducing the number of disturbances is done by preventive maintenance in animal-prone areas, with regular monitoring and evaluation so that ENS can be minimized
Development of a 1550 nm LiDAR System Using Galvanometer and i-ToF Method for Distance Measurement and 2D Object Reconstruction Hutagalung, Febrian Winston; Purnamaningsih, Retno Wigajatri; Nainggolan, Sahat Pandapotan; Rofianingrum, Mefina Yulias; Hapiddin, Asep; Hanto, Dwi
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 3 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i3.129

Abstract

LiDAR (Light Detection and Ranging) is a high-precision distance measurement technology based on laser light reflection. This study develops a galvanometer-based LiDAR system utilizing the indirect Time of Flight (i-ToF) method with 100 MHz sinusoidal modulation and a 1550 nm eye-safe laser diode. The system is designed to measure distance and identify the shape of 2D objects. The system was tested through phase difference measurements, galvanometer response, and flat-surface mapping at distances of 25 cm and 35 cm. The measurement results demonstrate high linearity and stability up to a maximum range of 1.5 meters, in accordance with the 360° phase difference (∆φ) limitation. The measurements of object dimensions in the form of an aluminum foil-covered plate at distances of 25 cm (1.76 cm × 2.63 cm) and 35 cm (2.45 cm × 3.66 cm) indicate that increasing the distance between the object and the system results in a wider coverage area but with reduced spatial resolution. At a distance of 25 cm, the light beam shifts by 0.436 cm/1°∆φ, whereas at 35 cm it shifts by 0.611 cm/1°∆φ. Furthermore, the limited active area of the photodetector was identified as the main factor restricting the detection coverage. This research opens opportunities for further development, particularly in optimizing galvanometer angle adjustments and enhancing the photodetector’s active area to expand coverage and improve measurement accuracy under various operating conditions.
Grid Impact of Battery Swapping Station for Electric Two-Wheelers in Indonesia Jamaluddin, Tisha Aditya Anggraini; Syamroni, Abdul Wachid; Husnayain, Faiz
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 3 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i3.130

Abstract

Indonesia is rapidly advancing toward electric transportation, with electric two-wheelers playing a crucial role, driven by widespread use and cost-effectiveness. While battery swapping stations (BSS) offer a practical and gap solution over charging station scenario through the stop-go schema, knockdown units and lessen upfront investment, however their unpredictable nature—stemming from random user swaps and varying battery state-of-charge (SoC)—creates dependency operational challenges, particularly for low-voltage distribution grid feeders (DGF). Hence, this article thoroughly evaluates grid impacts using a modified IEEE 9-bus system, focusing on future urban multi-source feeders in Indonesia. A stochastic simulation process for BSS operates every minute over 1440 periods, effectively capturing the near-realistic dynamics of BSS operational behavior and assessing the effects on voltage stability, lines, and transformer loadings concerning BSS integration in quasi-dynamic power flow analysis through DIgSILENT PowerFactory. The findings reveal that even a minor deployment of BSS can cause a voltage drop of up to 1.1%, a 30% increase in transformer loading, and a 100% rise in line loading, especially during peak exchangeable periods. These results highlight the need for proactive infrastructure planning and grid readiness strategies toward Indonesia’s future vision to decarbonize the transport sector into a scalable electric vehicle (EV) ecosystem.

Page 8 of 9 | Total Record : 83

 5   6   7   8   9 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 3 (2025) Vol. 3 No. 2 (2025) Vol. 3 No. 1 (2025) Vol. 2 No. 4 (2024) Vol. 2 No. 3 (2024) Vol. 2 No. 2 (2024) Vol. 2 No. 1 (2024) Vol. 1 No. 2 (2023) Vol. 1 No. 1 (2023)