International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
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.
Articles
83 Documents
<![CDATA[Fault Detection for Low Voltage System in Electric Vehicle ]]>
<![CDATA[Muhammad Anwar Sadat Faidar]]>;
<![CDATA[Kamlasi, Dava]]>;
<![CDATA[Yusivar, Feri]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i1.4
<![CDATA[With the rapid development of the electric vehicle ecosystem, there are concerns about the electrical safety of electric vehicles. This concern is caused by the problems with electric vehicles, which cannot be used when not used for a long time. This problem is caused by a low voltage rating that is not available when the electric vehicle is in that condition. In this study, an algorithm is proposed to support safety for the availability of low-voltage electrical energy, when electric vehicles are in use or not in use. The results of this research indicate that the created algorithm can provide safety for the availability of low voltage level electrical energy, by adjusting the lead-acid battery charging procedure, monitoring the low voltage level while it not in use, and making existing electric vehicles unable to move as long as problems with the low voltage level charging system cannot be resolved.]]>
<![CDATA[The Impact of a 1.1 MWp PV Rooftop Integration in Medium Voltage Distribution Networks ]]>
<![CDATA[Prasetya, Candra Agung]]>;
<![CDATA[Sudiarto, Budi]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i1.7
<![CDATA[A high penetrating the capacity of Rooftop PLTS has an impact on the performance of distribution network operations and the prior technical studies only using simulation. This paper examines the impact of integrating a 1.1 MWp PV Rooftop into the medium voltage distribution network, involves a comparison between simulation data obtained using the ETAP software, before and after integration, compared with direct measurements. The results indicate improvements in the distribution operating performance. Following the integration, there was a 0.05% increase in voltage levels, a 0.06% increase in short circuit current, a 1.25% reduction in network losses, up to 8.9% harmonics current, up to 0.14% harmonics voltage, and a 0.28% decrease in power factor, as observed at both the substation and the network, they are in accordance with the measurement results.]]>
<![CDATA[Multichannel Slotted ALOHA Simulator Design for Massive Machine-Type Communication (mMTC) on 5G Network ]]>
<![CDATA[Feliana, Ferlinda]]>;
<![CDATA[Harwahyu, Ruki]]>;
<![CDATA[Overbeek, Marlinda Vasty]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 2 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i2.8
<![CDATA[Massive Machine-type Communication (mMTC) is one of the main service scenarios in 5G. At the time of initializing the connection to the base station, the MTC machines will make a connection request via the random access procedure. One of the schemes of random access procedure for handling this connection request is similar to how multichannel slotted ALOHA works. Multichannel slotted ALOHA itself is a development of the slotted ALOHA scheme which originally has only a single channel. At the initial state of mMTC, there will be an explosion of the number of demands to the available channels. Given the number of machines that will be connected, the likelihood of a collision on the same channel increases. As a result, the probability of failure also increases. The system's configuration has an impact on the likelihood of success and the time it takes to achieve it. The number of channels influences the likelihood of collisions, the backoff window influences the transmission distribution in each slot, and the maximum transmission limits the ability of device retransmission. These three arrangements have an impact on one another. The simulator build in this research is expected to make it easier for researchers to optimize multichannel slotted ALOHA configurations in 5G to handle the surge in access demands from mMTC devices.]]>
<![CDATA[Evaluation of Direct Terahertz Radiation on Prospective Communication Applications ]]>
<![CDATA[Dzakwan Widyo Pangestu]]>;
<![CDATA[Catur Apriono]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i1.9
<![CDATA[The continuous development of information and communication technology has brought rapid changes, especially developments in cellular technology, starting with 1G and reaching the fifth development in 2020, 5G. This development continues, as evidenced by the start of 6G technology development in early 2020. The Terahertz (THz) spectrum, which has not been used optimally so far for communication technologies, is one candidate to support the next cellular technology developments. THz Waves offers far wider bandwidth than the existing technologies. Apart from the advantages of THz wave radiation, this research studies THz wave radiation intensity and its potential for communication. By calculating the Atmospheric Attenuation, FSPL and considering the minimum received power of user equipment (UE), THz wave radiation characteristics will be more optimal for use less than 500 meters at 0.1 THz and less than 100 meters at 3 THz. The highest Power density of THz radiation is 7.99 × 10-11 Watt/m2 when using 0.1 THz as frequency and a power transmitter of 10 Watts. The results show that exposure to THz waves in communication applications is safe and acceptable for practical communication use.]]>
<![CDATA[Synthesis of Fibrin Clot from Fibrinogen Platelet Rich Plasma (PRP) for Scaffold Applications ]]>
<![CDATA[Rahman, Siti Fauziyah]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i1.11
<![CDATA[Platelet-rich plasma (PRP), which contains fibrinogen, is activated by the addition of thrombin and calcium chloride to create fibrin clots. Fibrin is a natural biopolymer that can be applied for medical applications. This study aims to synthesize fibrin clots from fibrinogen platelet-rich plasma for scaffold applications. The optimum amount of fibrin clot can be obtained by varying the ratio of PRP to a mixture of CaCl2 with the variation of 9:1, 10:1, and 11:1. The highest fibrin clot produced was 5.925 ml with 5.5% CaCl2.]]>
<![CDATA[Web Application Development Skin Lesion Classification Using Transfer Learning InceptionResNet-v2 ]]>
<![CDATA[Harahap, Nanda Ilham]]>;
<![CDATA[Zulkifli, Fitri Yuli]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 2 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i2.13
<![CDATA[The development of machine learning continues from various domains where automation systems are needed. Advanced learning models, such as Convolutional Neural Networks (CNNs) in deep learning, can classify and identify objects even beyond human capabilities. One application is the classification of medical images skin cancer. Automatic diagnosis of skin cancer images is still challenging for CNNs. The use of transfer learning on classification has been leveraged for mobile, accurate, and fast automatic diagnosis. However, such models are imperfect in the categorization of skin lesions. Therefore, this study developed a web application for multiclass classification of 7 classes of disease through Streamlit and HuggingFace, with datasets from HAM10000 using TF Lite-conversion InceptionResNetV2. TF Lite-converted and the model’s classification reports were analyzed. The results on EarlyStopping overall accuracy were 87.56%, top-2 95.05%, and top-3 97.46%. Moreover, latency and classification duration were measured on Streamlit Share and HuggingFace Spaces. The findings are Streamlit has a faster average latency (1.17 ms) than HuggingFace (1.49 ms). The latency standard deviation on HuggingFace less consitent (0.49 ms) than Streamlit (0.10 ms). The HuggingFace classification average duration and standard deviation is 116 ms and 5 ms, while Streamlit is better at 97 ms and 2 ms respectively.]]>
<![CDATA[Implementation of Xception and EfficientNetB3 for COVID-19 Detection on Chest X-Ray Image via Transfer Learning ]]>
<![CDATA[Novalina, Nadya]]>;
<![CDATA[Rizkinia, Mia]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 2 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i2.14
<![CDATA[COVID-19 is a highly contagious infectious disease caused by the SARS-CoV-2 virus that can cause respiratory issues. The utilization of X-ray imaging has the potential to serve as an alternative means of detecting COVID-19 by offering insights into the condition of the lungs. Rapid and automated analysis of medical images and patterns can be achieved through deep learning techniques. In this study, we propose methods for the automatic classification of COVID-19 from Chest X-Ray images using CNN with transfer learning techniques, namely Xception and EfficientNetB3 architectures, as well as an ensemble of both architectures working in parallel. Additionally, we use Grad-CAM to visualize the regions of the X-ray image that are most important for the classification decision. The classification of COVID-19 is carried out for four types of classes: COVID-19, normal, bacterial pneumonia, and viral pneumonia. The proposed classifier models achieve an overall accuracy of 94.44% for the Xception classifier, 95.28% for the EfficientNetB3 classifier, and 94.44% for the parallel classifier. The accuracy value is higher than the other comparison classifiers accuracy values. Overall, the proposed classifiers can be recommended as tools to assist radiologists and clinical practitioners in diagnosing and following up with COVID-19 cases.]]>
<![CDATA[Analysis of performance and economic value of thin film and monocrystalline photovoltaic systems in the tropical area of Jakarta ]]>
<![CDATA[Novagia Adita]]>;
<![CDATA[Setiawan, Eko Adhi]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i1.19
<![CDATA[Evaluation of PV performance is important as a development in supporting the government’s program to increase the renewable energy mix to reach 23% in 2025. This study aims to analyze the performance of thin film vs monocrystalline PV which has been operating in tropical areas in Jakarta. Then thin film and monocrystalline PV were simulated using PVsyst. Evaluation is carried out through a performance ratio analysis approach and the value of the degradation rate. The performance of thin film PV was 5% close to the simulation result but not for the monocrystalline silicon. The degradation rates for thin-film and mono-si were 0.93% and 2.07%, respectively. The degradation rates of PV are comparable to other studies that have been conducted in other countries with similar climates. Such a degradation rate value reduces the economic value of PV where the Levelized Cost of Energy (LCOE) value obtained decreases for thin films by 25% while for monocrystalline would change by 77%.]]>
<![CDATA[Performance Evaluation of QUIC Protocol in Message Replication Overhead in PBFT Consensus using NS-3 ]]>
<![CDATA[Habibi, Thio Lutfi]]>;
<![CDATA[Sari, Riri Fitri]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i1.20
<![CDATA[The development of protocols in the ICT world to increase reliability and speed in data traffic gave an inspiration to a new protocol called the QUIC protocol. The QUIC protocol is expected to improve the performance of Transport Control Protocol (TCP). In addition, developments also occur in blockchain technology where the protocol used in this technology still uses the existing TCP protocol. In this paper, we aimed to research whether the QUIC protocol implementation in blockchain infrastructure could improve the performance of the blockchain infrastructure itself, in terms of the time required for transactions. We focus on conducting research to measure the overhead time reduction of Practical Byzantine Fault Tolerance (PBFT) consensus by implementing the QUIC protocol, the consensus propagation process is a crucial phase in Blockchain. For simulation we used NS-3 discrete simulation environment to conduct scenario and our simulation result showed that the QUIC Protocol have potential significant performance compared to TCP Protocol in large datasets, on the other hand QUIC protocols have more room for improvement by implementing appropriate congestion algorithms.]]>
<![CDATA[Challenges and Progress in the Fabrication of Silicon Nanowire Tunnel Diodes ]]>
<![CDATA[Moraru, Daniel]]>
<![CDATA[ International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 1 (2023) ]]>
Publisher : <![CDATA[Universitas Indonesia ]]>
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DOI: 10.62146/ijecbe.v1i1.23
<![CDATA[Tunnel (Esaki) diodes prepared in silicon (Si) nanowires could provide a unique platform to investigate band-to-band tunneling (BTBT) transport in nanoscale. However, the successful fabrication of these devices poses substantial challenges, related to controlling high doping concentrations, maintaining the abruptness of the pn junction, and minimizing roughness due to nanoscale patterning. This paper comprehensively addresses these challenges, suggesting potential strategies for optimization. Additionally, examples of nanoscale diodes fabricated so far in silicon-on-insulator (SOI) substrates are showcased, highlighting their tunnel-diode characteristics at low temperatures. Furthermore, the underlying physics is discussed: phonon-assisted tunneling, single-charge tunneling and donor-acceptor compensation. For practical applications, such as photodetectors or tunnel field-effect transistors, room-temperature operation is also required.]]>
