cover
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
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
Design of NB-IoT Based Household Light Electric Energy Monitoring System Pasaribu, Stevan Togar; Asvial, Muhamad
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 1 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i1.34

Abstract

Energy is a vital part of human life, especially in the digital era that requires a lot of energy. Monitoring energy use, especially electricity, is an alternative step to improve energy efficiency. This research aims to develop and implement an NB-IoT-based electrical energy monitoring. The proposed system allows users to monitor, analyze their electrical energy consumption efficiently. Then the Quality-of-Service test results at 500 m get very good results, with the results: average RSSI of -62.8 dBm, average latency of 3.0667 seconds, and PDR ratio of 100%. Quality of Service testing at 1 km gets pretty good results, with the results: average RSSI of -68.933 dBm, average-latency 3.24138 seconds, and PDR ratio of 90%. Quality of Service testing at 1.5 km gets fewer good results, especially on RSSI and PDR parameters, with the results: average RSSI of -84.80 dBm, average-latency 3.4667 seconds, and PDR ratio of 83.33%. The NB-IoT network is suitable for on-grid electricity meters in urban areas with an optimal distance of 500 to 1 km, while at more than 1.5 km it is better used for household scale.
Global Warming Potential from the Life Cycle of Fischer-Tropsch Fuel from Carbon Capture for Passenger Cars in Jakarta Putra, Satria Indrawan; Dalimi, Rinaldy
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 1 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i1.36

Abstract

Measures to mitigate the impacts of climate change in the form of carbon capture and storage have not been implemented in Indonesia, especially because there are carbon transportation and storage processes that do not provide added value. The Fischer-Tropsch process is a technology that can produce products that can be processed from CO2 and processed to become value-added commodities in the form of motor vehicle fuel. Using the openLCA application, a life cycle analysis was carried out of the synthesis of FT fuel for use in conventional gasoline vehicles in Jakarta from the capture of CO2 sourced from a coal fired power plant’s exhaust gas, which was compared with the life cycle of electrical energy for battery electric vehicles and conventional fuel for internal combustion engine vehicles. The life cycle impact method used is global warming potential which is expressed in kg CO2-eq. An alternative scenario is created as a comparison for analysis regarding life cycle impacts and parameter sensitivity. It is gathered that FT Fuel synthesis from carbon capture has a higher GWP impact than electrical energy for BEVs and conventional gasoline for ICEVs, due to the high electrical energy requirements from FT Fuel synthesis and the energy mix of the Java-Bali electric power system which is still dominated by fossil-fueled power plants. With alternative scenarios, the GWP impact from FT Fuel synthesis could be equivalent to or lower than electrical energy for BEVs and conventional gasoline for ICEVs.
Study of Reducing Transmission Losses in Java-Bali System with the Addition of Capacitors along with Optimal Capacitor Placement Methods Using Quasi-Dynamic Simulation Ali, Haidar; Sudiarto, Budi; Jufri, Fauzan Hanif; Salile, Ahmad Yusuf; Nasution, Eldi Firmansyah; Marbun, M
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 1 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i1.39

Abstract

The Java-Bali electricity system is the largest electricity system in Indonesia which consists of 5 areas including Jakarta-Banten area, West Java area, Central Java area, East Java area and Bali area. This system is operated to meet the economic, reliability, quality, and green principles. In the case of reliability, one of the essential aims is minimization of transmission losses due to importance in system improvement to increase system operational efficiency to the possible extent. Transmission losses are an inevitable part of the electric power transfer process from generation stations to consumers. The power losses in a transmission line are inversely proportional to the square of the line voltage. This implies that lower line voltages result in higher power losses. Therefore, it is crucial to maintain optimal voltage levels to minimize transmission losses and ensure efficient energy delivery across the power system. One effective way to achieve this is by integrating capacitors into the system. In this study, we have explored two methods that aim to pinpoint the most advantageous locations for the integration of new capacitors. The goal is to optimize capacitor planning, with an emphasis not only on improving voltage levels but also on minimizing transmission losses within the Java-Bali system. The research results indicate that implementing two proposed methods can significantly reduce transmission losses in The Java-Bali system. Method-1 involves identifying the lowest voltage over the course of a year, while Method-2 focuses on the lowest voltage value within the first quartile (Q1/25%) during the same period
Technical Analysis Using 100 Percent Palm Kernel Shell as Fuel in Circulation Fluidized Bed Boiler Type Masrajuddin; Sudiarto, Budi; Setiabudy, Rudy
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 2 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i2.44

Abstract

Energy is a basic human need that has increased in use. Given the limited energy resources, it is necessary to manage energy appropriately and efficiently. Energy efficiency not only has an impact on reducing production costs, but also on reducing emissions. As a concrete step to support the government's net zero emission program by 2060, the company is trying to use alternative biomass fuels, namely: palm kernel shell. The purpose of this study is to conduct a technical and economic analysis of the use of 100 percent palm kernel shells as fuel in a circulation fluidized bed boiler type power plant. This research was conducted at power plant unit 2 of PT XYZ, located in Cilegon, Banten Province. The parameters measured are limited to boiler efficiency, thermal efficiency, and heat rate. The results showed that when using palm kernel shells, boiler efficiency decreased 0.47 percent, thermal efficiency decreased 0.24 percent, and heat rate increased 22 kcal/kWh or 0.76 percent. By considering of three operational parameters (boiler efficiency, thermal efficiency, and heat rate) it can be concluded that technically the use of 100 percent palm kernel shells as fuel in the plant is feasible. There is no major impact on boiler performance regarding the transition of coal to palm kernel shells. The impact of long-term use of palm kernel shells on equipment is beyond the scope of this research.
IoT-Based Vehicle Monitoring System on LoRa Network: Addressing Community Needs in Indonesia Zulkifli, Fitri Yuli; Halimsurya, Ervin; Ayyasy, Muhammad; Luthfi, Fitya; Alinursafa, Ibnu
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 2 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i2.46

Abstract

Our innovative IoT-based vehicle monitoring system emerges from a comprehensive survey among vehicle owners. The device circuit is designed using ESP32, GPS to detect location and speed, MPU6050 to detect vibrations from the vehicle engine, and a relay that is used to disconnect the vehicle socket if needed. The data collected from each component is sent through the LoRa Antares network. Access to the data can be done using a cell phone through the MOTRAV application that has been integrated with the Antares server. The designed system is able to display the location, speed, and condition of the vehicle consistently with an average delay of 7 seconds and can receive 65% of the control signals to start and stop the vehicle engine. The system can also send a warning notification if the vehicle that is not being used is detected at a speed of more than 5.5 km/h with engine vibrations detected reaching 28 vibrations/5 seconds.
Analysis of an Integrated QEEG-Neurofeedback System Utilizing Active Stimuli for Non-Pharmacological Intervention in Enhancing Neurobehavioral Function Mahatidana, Pradipta; Musridharta, Eka; Basari
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 2 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i2.47

Abstract

Quantitative Electroencephalogram (QEEG) and Neurofeedback (NF) are employed in the diagnosis and treatment of neurobehavioral deficits associated with various clinical conditions. These approaches enable the exploration of EEG usage within the context of neurobehavioral electrophysiology. This study aims to elucidate the fundamental evidence supporting NF and to outline strategies for its further development and application in ameliorating neurobehavioral deficits. Numerous research studies have demonstrated the efficacy of NF in enhancing neurobehavioral functions, including attention, language, memory, visuospatial abilities, and executive function. This study intends to develop an NF system that includes the establishment of a robust approach to QEEG transformation and database. The closed-loop QEEG-NF system under development incorporates active visual and auditory stimuli that leverage stochastic phenomena. The efficacy of the QEEG NF treatment was confirmed with a statistically significant increase in alpha brain wave percentages post-treatment (p = 0.018), indicating that the system effectively enhances alpha brain wave production.
Transmission Outage Cost Analysis Using Value of Loss Load Approach Based on Macro Economic Data Suwargono, Son; Garniwa, Iwa
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 2 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i2.48

Abstract

The West Nusa Tenggara (NTB) electricity system, which consists of the Lombok System and the Sumbawa-Bima System, has an important role in supporting the country's economy, especially in the tourism segment. Quantitatively, there has been no measurement of the impact of electricity disruption on the macro economy. Value of Loss Load (VoLL) is a useful quantity parameter in the economic evaluation of electric power systems. It can be represented as the value of losses borne by customers in case of electricity service interruptions. For policy makers and electricity management, the size of the VoLL would affect decisions regarding investment. A low VoLL requires for a low reliability level and a high VoLL for a high reliability level. This research will calculate Transmission outage costs using the Value of Loss Load approach based on macro economic data and predicting VoLL 2024 - 2030. The outcome of the research shows that The Lombok System VoLL is lower than Bima – Sumbawa System. Outage costs due to disruptions on the Transmission System side affect GDP by 0.001% / year. The trend of VoLL 2024 – 2030 is estimated to decrease by an average of 2.29% / year which is indicate it is is inline with Rencana Usaha Penyediaan Tenaga Listrik 2021 - 2030.
Performance Evaluation Elastic Security as Open Source Endpoint Detection and Response for Advanced Persistent Threat Cyberattack Putra, Zegar Pradipta; Harwahyu, Ruki; Hebert, Evans
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 2 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i2.49

Abstract

Detecting APT using conventional information protection systems poses significant challenges. For instance, signature-based detection tools like antivirus primarily rely on predefined signature rules to identify malware. However, in scenarios like zero-day attacks where malware signatures are unknown, detection becomes unreliable. While EDR traditionally hinges on signature-based rules, recent advancements integrate machine learning techniques for enhanced detection capabilities. In this study, we conducted an evaluation of open-source EDR, specifically Elastic Security, for APT detection. APT attack vectors were simulated utilizing the Caldera Platform. The evaluation involved validating each attack vector sent by Caldera against detection alerts generated by Elastic Security. The detection outcomes revealed three categories: detected alerts conforming to predefined rules, undetected alerts despite predefined rules, and undetected alerts due to undefined rules. Some attack vectors lacked rule definitions, potentially resulting in elevated false positives. Additionally, certain attack vectors failed to trigger alerts despite rule definitions.
Energy Management System using Evolutionary Mating Algorithms for Optimizing Energy Usage and User Comfort in Office Building Alvin, Bob; Husnayain, Faiz; Sudiarto, Budi; Setiabudy, Rudy
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 2 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i2.50

Abstract

Indonesia has set a target to reduce emissions by 29% or 835 million tons of CO2 by 2030, which was increased to 32% or 912 million tons of CO2 in 2023. The building sector is one of the largest contributors to emissions in Indonesia. To reduce these emissions, the Indonesian government has issued energy conservation regulations requiring each sector to reduce energy consumption. According to Government Regulation No. 33 of 2023, energy conservation is mandatory for energy users in the building sector who use energy sources equivalent to or greater than 500 Tons of Oil Equivalent. One way to conserve energy is by implementing energy-efficient technologies, without compromising the comfort of building users, which includes thermal and visual comfort as part of indoor environmental quality (IEQ). An energy-efficient technology using the Evolution Mating Algorithm (EMA) is proposed. This study will discuss energy use without compromising building user comfort in tropical countries using the EMA optimization algorithm. The study demonstrates that EMA successfully optimizes energy use without reducing user comfort in tropical countries.
Development of a Wearable Wide band Antenna in the Frequency Range of 2.4 GHz and 5.2 GHz Soares, Fidelio; Eko Tjipto Rahardjo
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 3 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i3.51

Abstract

This paper presents the optimization and design of a wearable multiband microstrip patch antenna using jeans as a substrate material for wireless communication applications. The proposed antenna operates at 2.4 GHz, 5.2 GHz, and 5.6 GHz frequency bands, which are essential for Wi-Fi and other wireless standards. The antenna design incorporates a rectangular slot and patch to achieve triple-band operation with a full ground plane, ensuring good isolation, directional radiation patterns, and high gain. Simulations and measurements were conducted using CST STUDIO SUITE software and standard laboratory equipment to validate the antenna's performance. Results demonstrate return losses greater than -10 dB with bandwidths of 72.5 MHz, 169.1 MHz, and 127.7 MHz for each band, respectively. The antenna achieves gain values of 0.886 dBi, 6.38 dBi, and 5.27 dBi for the 2.4 GHz, 5.2 GHz, and 5.6 GHz bands. Flexibility tests confirm the antenna's suitability for wearable applications, maintaining performance despite bending. The proposed antenna shows significant potential for integration into wearable devices, providing a reliable and efficient solution for modern wireless communication needs.