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I Gde Dharma Nugraha
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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
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Artificial Intelligence Risk Identification: Challenges, Impacts, and Mitigation Strategies Syukrina, Ulfia; Nugraha, I Gde Dharma
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.v3i2.109

Abstract

Artificial Intelligence (AI) has rapidly transformed various industries, providing significant benefits in automation, decision-making, and efficiency. However, AI also presents numerous risks, including bias, lack of transparency, security vulnerabilities, and regulatory challenges. This study employs a Systematic Literature Review (SLR) approach to identify and categorize key risks associated with AI implementation. The findings indicate that AI risks can be classified into technological, social, and regulatory aspects, each posing unique challenges. Algorithmic bias, privacy concerns, and the lack of global AI governance frameworks highlight the need for more robust risk mitigation strategies. To address these challenges, this study recommends enhancing fairness-aware AI models, strengthening AI governance, and increasing public AI literacy. Future research should focus on improving AI accountability, security measures, and ethical guidelines to ensure responsible AI adoption.
Optimizing Generation Costs in Electricity Supply Business Plan for Electricity Companies in Indonesia: A Reliability-Based Approach for the Sumatra Power System Sikumbang, Supriyanto; Garniwa, Iwa
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.v3i2.111

Abstract

Ensuring a stable and sustainable electricity supply requires effective planning that balances cost efficiency and system reliability. This study explores the optimization of Basic Generation Cost (BPP) in PT PLN (Persero)'s Electricity Supply Business Plan (RUPTL) 2025-2034 while considering the reliability of the Sumatra power system. Using Digsilent PowerFactory, simulations incorporating Unit Commitment and Economic Dispatch methodologies were conducted to achieve cost reductions without compromising system stability. The significant result of this theses is optimization with economic dispatch reduces BPP up to 41,4% compared to conventional methods, enhancing power system cost efficiency. Increasing voltage reliability from 0.99 p.u. in 2025 to 1.01 p.u. in 2034. Higher renewable energy integration in 2034 reduces fuel costs but increases challenges in maintaining frequency and voltage stability. Strategic recommendations include increasing transmission capacity, implementing energy storage systems, and optimizing unit commitment to balance cost and reliability. This research offers valuable insights for power system planning, addressing energy transition challenges and facilitating the integration of renewable energy sources in Sumatra. Keywords: Basic Generation Cost, System Reliability, Economic Dispatch, Digsilent PowerFactory
Transforming Humanitarian Response with IoT in Conflict Zones: Field Insights, Ethical Frameworks, and Deployment Challenges Parmadi, Budi Dhaju; Ramli, Kalamullah
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 1 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i1.112

Abstract

The integration of Internet of Things (IoT) solutions into the delivery of humanitarian aid can be potentially transformative in improving the effectiveness of operations, time management, and the coordination of logistics in conflict-affiliated areas. However, there are some critical challenges, which include poor infrastructure, limited and irregular network coverage, increased cyber security risk, and cultural issues. Despite the fact that most of the existing literature focuses on these issues separately, this thematic review is the first to offer an integrated review of the infrastructural, security, and ethical aspects of IoT implementation simultaneously. In particular, the review reveals new approaches; decentralized IoT architectures, blockchain-secured networks, AI-assisted data analysis, and alternative network architectures. Specifically, it focuses on ethical governance, of addressing technocolonial issues, fair data management, and design for communities. This paper provides original, practical contributions and recommendations for strategic implications that guide researchers, policymakers, and humanitarian practitioners to develop resilient, scalable, and ethically informed IoT deployments. The directions for future research are outlined to develop sustainable IoT practices, comprehensive governance frameworks, and multi-stakeholder collaborations to improve the resilience and ethical appropriateness of humanitarian aid operations.
Cybersecurity Of Work From Anywhere Model For Government : A Systematic Literature Review Asyrofi, Muhammad Fahreza; Nugraha, I Gde Dharma
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 1 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i1.113

Abstract

Presidential Regulation No. 21 of 2023 grants Indonesian civil servants (ASN) location flexibility, creating cybersecurity challenges that institutions and authorities have yet to fully address. Existing frameworks such as ISO 27001 and NIST provide only general remote work guidelines, lacking specific recommendations for the Work From Anywhere (WFA) model. This gap poses significant risks to data security and government operations, particularly as cyber incidents reported by the National Cyber and Crypto Agency of Indonesia (BSSN) continue to rise. The 2023 Indonesian Cybersecurity Landscape report recorded 347 suspected cyber incidents, including data breaches and the exposure of over 1.6 million records on the darknet, affecting numerous stakeholders. This study employs a Systematic Literature Review (SLR) to identify cybersecurity threats associated with remote work and explore effective mitigation techniques. The findings reveal five primary threats classified into two categories: human-centric threats (social engineering attacks, insider threats, and human errors) and technology-centric threats (malware-based and network attacks). To address these threats, the study identifies four key best practice themes: Awareness and Education, Phishing Protection, Technical Countermeasures, and Management and Audit. These themes provide a structured approach to enhancing cybersecurity in WFA environments. The results of this study serve as valuable input for formulating policy and technical guidelines to implement WFA in government settings. Future research should explore supply chain security, integration of WFA with on-site operations, cultural factors in security compliance, and governance frameworks to enhance cybersecurity resilience in government WFA environments.
Development Of Detection Model For Skin Diseases In Pets Using Image Processing And Deep Learning Techniques Taufiqoh, Salma Dewi; Purnamasari, Prima Dewi
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.v3i2.114

Abstract

Early detection of skin diseases in pets is essential but often hindered by the cost and complexity of clinical diagnosis. This study introduces a deep learning–based system for identifying three common pet skin diseases—Ringworm, Scabies, and Earmite—using images captured with mobile phone cameras. The system integrates classical image preprocessing techniques, including Contrast Limited Adaptive Histogram Equalization (CLAHE) and Hue-Saturation-Value (HSV) segmentation, with a custom convolutional neural network (CNN) designed for disease-specific classification tasks. Two separate models were developed: a multi-class CNN model for classifying Ringworm, Scabies, and Undetected conditions, which achieved a test accuracy of 83%, and a binary CNN model for classifying Earmite versus Undetected, which achieved 100% accuracy, precision, and recall on both test and unseen validation sets. Compared to transfer learning models such as ResNet-50 and VGG16, the proposed CNN models demonstrated superior performance under limited-data conditions (72 images total), emphasizing the advantage of domain-specific model design and preprocessing. These findings suggest that disease-adapted CNN architectures, combined with targeted preprocessing, can support accurate and accessible veterinary screening using mobile devices. Future work will focus on expanding the dataset and deploying the model in a real-time mobile diagnostic application.
Modeling Liver Fibrosis Using hiPSC-Derived Liver Organoids: Methods and Applications Ksatrianto, Faris; Suhantoa, Deviana Lavender; Aziz, Rizal; Natadilandes, Reyhan; Qamarani, audina; Nurjamil, Aris Muhammad; Widowati, Wahyu
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 1 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i1.117

Abstract

Liver fibrosis is a pathological state marked by the excessive buildup of extracellular matrix due to persistent liver damage. Despite the potential of traditional medicines, including antiviral medications and lifestyle adjustments, to decelerate fibrosis progression, a completely effective treatment is still lacking. This article examines the function of human-induced pluripotent stem cells (hiPSCs) in mimicking liver fibrosis. HiPSCs can differentiate into multiple liver cell types, such as hepatocytes, hepatic stellate cells, and endothelial cells, facilitating the reconstruction of liver microarchitecture in both two-dimensional cultures and three-dimensional organoids. These technologies offer critical insights into the pathophysiological underpinnings of the disease, facilitate the discovery of therapeutic targets, and aid in the development of innovative antifibrotic drugs. The use of hiPSCs not only enables novel methods for disease modeling but also presents intriguing opportunities for more targeted and effective regenerative therapy for liver fibrosis.
Optimizing Power Transformer Failure Identification: A Multi-Method Framework Based on Normalized Energy Intensity According to IEEE C57.104-2019 Standards Adapted to Indonesian Power Transformer Characteristics Kurniawan, Wahyu Citra; Sudiarto, Budi
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.v3i2.121

Abstract

This research develops and validates a multi-method diagnostic framework by integrating Normalized Energy Intensity (NEI) parameters according to IEEE C57.104-2019 standards adapted for Indonesian power transformer populations. Analysis of 1525 DGA samples from PLN Indonesia transformers reveals significant differences in percentile thresholds compared to North American standards. Using unadapted North American thresholds categorized 68.4% of transformers as critical (DGA Status 3), while adapted thresholds reduced this to 25.1%. Duval Triangle 1 identified Discharge of Low Energy (D1) as the dominant failure type (35.4%), while Duval Pentagon 1 showed dominance of Discharge of High Energy (D2) (39.4%), and Duval Pentagon 2 identified Stray gassing (S) (27.6%) and Overheating without paper carbonization (O) (22.3%). Pearson correlation analysis on transformers with O₂/N₂ ratio ≤ 0.2 showed strong correlations between NEI Oil with ethylene (R = 0.877) and methane (R = 0.845), while NEI Paper strongly correlated with carbon monoxide (R = 0.934). NEI Oil combined with hydrocarbon gas concentrations provided more consistent patterns with multi-method fault identification than NEI Paper. Multi-method validation proved absolute gas concentration methods more reliable than gas ratio methods. This framework improves maintenance efficiency by reducing false alarms and optimizing preventive strategies.
Lightning Performance Design Review of 150kV Overhead Transmission Line Hakim, Fakhri; Fitri, Ismi Rosyiana; Widyanto, Aji Nur
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.v3i2.122

Abstract

Lightning overvoltage constitutes the predominant cause of transmission line interruptions in Indonesia, significantly compromising system safety and reliability. This paper presents comprehensive simulations of lightning performance on 150kV overhead transmission lines using ATP-EMTP software, with particular focus on evaluating shielding failure and back flashover occurrences on one of the standard tower designs used by PT PLN (Persero). The transmission line model incorporates shielding wires, phase conductors, tower surge impedance, current-dependent footing resistance behavior, and arcing horns. Simulations were conducted to investigate three key aspects: maximum shielding failure current based on various Electrogeometric Model (EGM) constants, the impact of footing resistance on critical flashover current, and the effect of arcing horn length variations on critical flashover current. The analysis also accounts for phase angle variations in system voltage. Results highlight the significant influence of these variables on the Lightning Flashover Rate (LFR) of existing tower designs. Increasing footing resistance from 10Ω to 20Ω elevates Back Flashover Rate (BFOR) by 16.39%, while further increases to 30Ω and 40Ω yield only marginal increases of 17.33% and 17.76%, respectively. Notably, arcing horn gap length modifications demonstrate substantial performance improvements, with 1.4m and 1.5m gaps reducing LFR by 17.37% and 30.87%, respectively, compared to the 1.3m reference configuration. Analysis of maximum shielding-failure currents across varying EGM coefficient sets indicates that shield wires fail to intercept currents in the range of 2.53 kA to 52.81 kA.
Power Quality Improvement for Voltage Sag Issue in Industrial Customers Putra, Muhamad Mandala; Sudiarto, Budi
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.v3i2.131

Abstract

Customer demand today is no longer limited to ensuring the reliability of electricity supply, but also includes the continuity and delivery of high-quality electrical power. One of the main challenges affecting power quality is voltage sag, a condition frequently experienced by industrial customers, particularly at PT. Samator Gas Industri Palembang. This study aims to analyze the causes of voltage sag problems and evaluate the effectiveness of technical solutions. The methodology involves analyzing field observation data, recordings from a Fluke Power Quality Meter (PQM), and simulations of Line-to-Line (LL) and Three-Phase (L-3P) short-circuit faults using ETAP software. The simulation results are evaluated using the ITIC Curve to determine whether the observed voltage levels fall within acceptable operational boundaries or enter the prohibited zone. Simulations were conducted under normal operating conditions by integrating three technical solutions: Static VAR Compensator (SVC), IS-Limiter, and Diesel Rotary UPS (DRUPS). The findings indicate that although SVC can accelerate voltage recovery after a disturbance, its effectiveness is lower compared to the others. The IS-Limiter provides a rapid response to limit fault current and prevent the propagation of disturbances throughout the system. Meanwhile, DRUPS offers the fastest and most reliable voltage recovery, restoring voltage to 100% in less than 20 milliseconds.
Analysis of Additional Generation Planning in the Batam-Bintan Power System to Improve Reliability Purba, Kevin Pangestu; Garniwa, Iwa
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.v3i2.133

Abstract

The Batam-Bintan electrical system encounters operational challenges due to inadequate new power plants being commissioned to meet the increasing demand. Bintan Island's supply dependency on Batam Island through the undersea cables and 150 kV SUTT places operational stress systemically and adds vulnerability to disruption. The focus of the research is to optimize the system reliability through peak load forecasting up to 2030 and refining the strategic locations and sizes for the new power plants. The calculation forecast employs a second-order polynomial regression method, whereas the load flow analysis is performed with DIgSILENT PowerFactory 2022 software. Based on the research, the peak load is expected to grow from 675.2 MW in 2024 to 1,322.1 MW by 2030. To attain reliability, 940 MW of additional generation capacity is required, which is made up of 580 MW of DG (distributed generation) and 360 MW of central generation. The placement of DG is focused on substations that are overloaded or approaching overload, while centralized generation is positioned where power loss is lowest. The evaluation results indicate the additional generation makes it possible to maintain voltage stability, reduce dependence on PLTU XYZ and meet the reserve power requirement of a 35% power margin.

Page 7 of 9 | Total Record : 83

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