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Bulletin of Electrical Engineering and Informatics
Published by Universitas Ahmad Dahlan
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.
Arjuna Subject : -
Articles 75 Documents
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Search results for , issue "Vol 14, No 2: April 2025" : 75 Documents clear
Forward and optimised IK utilising the Levenberg-Marquardt algorithm 6-DOF robot manipulator for sorting applications Hafidz Hasnor Faiz, Mohammad; M. Thamrin, Norashikin; Syahirul Amin Megat Ali, Megat; Zainal Abidin, Idris
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8723

Abstract

Colour sorting robots automate industries, but translating image data to robot movement is expensive and complicated. Vision sensors require a lot of processing power, which can slow down and strain the robot. Real-time colour sorting hardware and software integration complicates things. This work uses robotic operating system (ROS) to solve vision-guided colour sorting problems in Cartesian space. Ubuntu 20.04, ROS Noetic, a Raspberry Pi, a camera, and six servos. In Jupyter Lab, unified robotic description format (URDF) is used to build a virtual kinematic model, and Levenberg-Marquardt (LM) optimisation guides object manipulation. OpenCV image processing uses colour conversion, Canny edges, and midpoint estimation to detect coloured objects efficiently. The average servo movement error is 0.46 degrees, and the robot manipulator's final destination positioning error is 1.65 mm. The average object edge detection error is 0.33 mm, and the red, green, blue (RGB) colour distance is 57.84. ROS-based robot manipulator achieves impressive Cartesian space colour sorting accuracy despite image processing challenges, enabling real-world deployment.
Designing electric braking system for brushless direct current motor as an electric bicycle propulsion Supriyono, Heru; Supardi, Agus; Romadhon, Muhammad Rafi Nur; Yulianto, Aldi; Utomo, Untung Budi
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8608

Abstract

One of the problems arising in the conversion of pedal-based bicycles into electric bicycles using brushless direct current (BLDC) motors is how to provide an electric braking system for the BLDC motor. Published research on braking systems for electric bicycles from a practical perspective was still limited. The objective of the article is to develop an electric braking system for BLDC motor as a propulsion of electric bicycle converted from pedal-based bicycle from the empirical point of view. The pedal-based bicycle was converted to the electric bicycle by fully replacing its rear wheel including its chain system with the BLDC motor. The braking system was developed by adding a DC motor as a load for BLDC in the braking mode. Test was conducted by turning on the acceleration handle and then the braking action was applied. The stoppage time was recorded from the start of braking action until the wheel was fully stopped. The test results showed that the addition of a direct current (DC) motor as a load can shorten stoppage time of the electric bicycle dramatically, i.e., needs 1.65 seconds compared to 10.14 seconds and 3.09 seconds for without braking and with braking but without DC motor as a load respectively.
Accurate brain tumor classification with STN-NAM in ResNet50 using MRI Topannavar, Preeti Sadanand; Sachin Bendre, Varsha; Khurge, Deepti
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8706

Abstract

Brain tumor is an abnormal cell growth that contains malignant and benign cells emerging from numerous cell types within brain. Magnetic resonance imaging (MRI) is utilized for brain tumor classification which provides high-resolution images. However, tumors exhibit different characteristics like shape, location, and size which make it challenging to accurately distinguish among different tumor types and accurately classify them. In this research, spatial transformer network and non-local attention mechanism (STN-NAM) is proposed in ResNet50 to accurately classify tumors. STN transforms spatial information while NAM identifies relationships among normal and lesion areas, which together accurately classify tumors. Initially, images are obtained from Figshare, Brats 2019, and Brats 2020 datasets. These images are pre-processed using a normalized median filter (NMF) to reduce salt and pepper noise. Then, normalization is performed to resize original image to a standard size which assists uniformity in image dimension. U-Net is employed to segment tumor regions and STN-NAM is performed to accurately classify tumors. In comparison to the existing techniques namely, multi-level attention network (MANet), mathematical model with 3D attention U-Net, and convolutional neural network (CNN), the STN-NAM achieves superior accuracy of 98.06%, 99.05%, and 98.66% in Figshare, Brats 2019, and Brats 2020 datasets, respectively.
Optimization model and development of power estimation in photovoltaics for self-load consumption Yosefa Hutajulu, Olnes; Dwi Waluyo, Bakti; Dodi Suryanto, Eka; Haryanto Sinaga, Denny; Suwarno, Suwarno; Indra Cahyadi, Catra; Junaidi, Agus
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8506

Abstract

The Indonesian government's initiative to meet a renewable electricity supply 2050 of around 100% and its ecological benefits, has an impact on the big challenge where the increasing number of photovoltaic (PV) systems due to high power input and risks to electricity network security conditioned sunny weather for a long time. This research aims to provide predictable power output for network operators, thereby enabling longer planning periods and increasing the protection of the national operational network. Independent consumption by household consumers will impact household energy behavior and affect the security of the electricity network. Consumption itself provides an incentive to increase the cost of energy use which will be much higher than the compensation received, so software is needed which can support PV system prediction patterns. This pattern will close the gap in software development in the process of implementing optimization and configuration based on PV estimates. The consumption planning optimization algorithm itself validates the predetermined scenario optimization process. This research contributes to the efficiency and stability of energy use in households.
Conceptual design for traceability and transparency in halal self-declared with blockchain Munawar, Munawar; Zulfiandri, Zulfiandri; Mugiyono, Arif
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8634

Abstract

Halal self-declared is a halal certification procedure for small micro enterprises (SMEs). However, sufficient technology support is required to ensure the halal process’s transparency and traceability. By integrating blockchain-oriented software engineering (BOSE) technology with smart contracts and electronic product code information services (EPCIS), this study aims to deliver a conceptual design for traceability and transparency in halal self-declared. The effectiveness of the blockchain in storing data and disclosing private information to interested parties can be circumvented by utilizing both off-chain and on-chain technology. The effectiveness of blockchain data storage and the ability to disclose sensitive information to interested parties can be advantageous for both on-chain and off-chain applications.
Theoretical and experimental implementation of PID and sliding mode control on an inverted pendulum system K. Dawane, Mahendra; M. Malwatkar, Gajanan
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8439

Abstract

This paper explores the theoretical and experimental implementation of proportional-integral-derivative (PID) and sliding mode control (SMC) on an inverted pendulum system, a well-known problem in control engineering that is inherently unstable and highly nonlinear. The primary objective of this study is to evaluate and compare the effectiveness of these two control strategies in achieving system stabilization and robustness against disturbances. The PID controller, widely utilized due to its straightforward design and implementation, is developed based on the linearized model of the inverted pendulum. On the other hand, the SMC technique, known for its robustness to system uncertainties and external disturbances, is employed to tackle the nonlinear nature of the system. The controllers are tested in both simulation and real-time experimental environments to ensure the reliability of the findings. The results from the experiments indicate that while the PID controller performs adequately under nominal conditions, it struggles to maintain stability when faced with parameter variations and external perturbations. In contrast, the SMC exhibits superior performance by consistently stabilizing the pendulum even under adverse conditions, demonstrating its robustness and effectiveness in managing nonlinear systems. This comparative analysis provides valuable insights into the practical applications of PID and SMC, highlighting the trade-offs between simplicity and robustness in control system design.
Digital signal processing for accurate body temperature measurement Koshekov, Abay; Orazbayeva, Bibigul; Savostin, Alexey
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.9150

Abstract

The relevance of the subject matter is conditioned by the need to find the most effective and stable point for measuring body temperature using special measuring instruments. The main purpose of this scientific research is to develop a method for the most accurate implementation of these operations through the use of scientific and theoretical apparatus of digital signal processing. The study used methods of analysis and synthesis of information about the main provisions necessary in the process of finding an effective place for measuring the temperature parameter. The main points of body temperature measurement were established, including the key provisions of the digital temperature signal processing technique for measuring these parameters, which are required to assess the real state of a person. The presented mathematical formulas reflect the possibilities of calculating the average body temperature, as well as the skin temperature parameter, determined depending on the temperature indicators at individual points. Temperature curves for various types of diseases were presented. The practical significance of the results obtained lies in the possibility of their use in the activities of institutions of various profiles to find an effective method of measuring human body temperature to assess the physical condition.
A 0.7 GHz and 0.9 GHz efficient and compact dual-band rectifier for ambient radio frequency energy harvesting Nor Azrin Raja Yunus, Raja; Adam, Ismahayati; Najib Mohd Yasin, Mohd; Muhammad, Surajo; Zuki Azman Wan Muhamad, Wan; Amin Ahmed Ghaleb, Abdulrahman
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8533

Abstract

This study introduces a compact dual-band rectifier utilizing a single and multi-stub matching network (MN) technique. The rectifier consists of two branches, each incorporating a single block stub and two blocks stub to generate two frequency susceptance blocks, subsequently transformed into a meandered line. The proposed rectifier operates at two frequency bands of 0.7 GHz and 0.9 GHz and is fabricated on an RT/Duroid 5880 printed circuit board (PCB) with dimensions of 37×25×1.6 mm using an entire ground architecture. Simulation and measurement results show that the rectifier has a power conversion efficiency (PCE) of 67.77% and 66.35% at 0.7 GHz and 70.31% and 71.22% at 0.9 GHz with input power of 0 dBm, respectively. The rectified voltage is 1.79 V DC across a 5 kΩ load terminal (RL) with 5 dBm input power and is capable of sensing low input power down to -30 dBm. This feature makes the rectifier a promising solution for powering low-power devices from ambient energy.
Wideband and high gain mmWave antenna with phase gradient metasurface Soni, Devendra; Yadav, Dinesh; Tiwari, Manish
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.7840

Abstract

This study presents a phase gradient metasurface (PGM) measuring 30 mm on each side and discusses its development. The use of multiple unit cell sizes is critical to the design of the PGM that was produced. A sand-timer-shaped monopole antenna was designed specifically for wideband millimetre wave (mmWave) applications. An antenna structure is reinforced with a PGM that was specifically designed to increase antenna gain over its bandwidth. This is done to increase the antenna gain overall. The antenna has a bandwidth of 9.18 GHz, which includes mmWave frequencies ranging from 20.78 GHz to 29.96 GHz. For a wideband response, the ground plane must contain flaws. These flaws must exist on the surface of the ground plane. This study presents an in-depth examination of the antenna, PGM design, and operating principles, backed up by experimental verification. The use of PGM results in a 5 dB increase in antenna gain, with an average improvement of 2 dBi across all frequencies.
A stochastic optimization called split-compete optimization and its utilization on economic load dispatch problem Daru Kusuma, Purba; Candrasyah Hasibuan, Faisal
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8665

Abstract

The economic load dispatch (ELD) problem is one crucial optimization problem in a power system. Metaheuristics has become a standard method to tackle this problem. Ironically, ELD is not popular enough to become a constrained use case in most studies introducing new metaheuristics, where four designs in mechanical engineering have become the most popular ones. This work introduced a new metaheuristic called split-compete optimization (SCO). It contains three serial steps where two directed searches are employed and competed against each other in each step. SCO is then assessed to tackle both unconstrained and constrained problems where 23 classic functions represent the unconstrained problems and two cases in ELD problems represent the constrained ones. Five new metaheuristics are chosen as competitors, including the coati optimization algorithm (COA), language education optimization (LEO), northern goshawk optimization (NGO), Kookaburra optimization algorithm (KOA), and walrus optimization algorithm (WaOA). In the first evaluation, SCO is superior enough by being better than COA, LEO, NGO, KOA, and WaOA in 14, 13, 20, 15, and 10 functions, whereas SCO is dominant in high-dimensional functions. Meanwhile, SCO is competitive in solving both cases of ELD problems.

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