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Gedung Jurusan Teknik Elektro Lantai 2. Fakultas Teknik Universitas Andalas, Limau Manis, Pauh, Padang City, West Sumatra 25163
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Andalas Journal of Electrical and Electronic Engineering Technology
Published by Universitas Andalas
ISSN : -     EISSN : 27770079     DOI : -
Core Subject : Science, Education, Engineering,
Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering
Electrical power and energy: Transmission and distribution, high voltage, electrical energy conversion, power electronics and drive. Telecomunication and Signal Processing: Antenna and wave propagation, network and systems, Modulation and signal processing, Radar and sonar, Radar imaging; Radio, multimedia content, Routing protocols, Wireless communications, Signal Processing, Image Processing, Voice Processing. Control automation and Robotic: Robotics, Automation, Pattern Recognition, Biosignal Engineering, Control Theory, Applied Control, System Design, Optimization, Process Control, Sensor. Research in Electrical and Electronic Engineering Education.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 81 Documents
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A Comprehensive Review of Intelligent Reflecting Surfaces from Hardware to Industrial Integration and Future Directions Munira, Anne; Muguro, Joseph; njeri, waweru
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 1 (2024): May 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i1.100

Abstract

An Intelligent Reflecting Surface (IRS) has emerged as a key solution to performance bottlenecks in wireless communication. Its ability to combat multipath fading and improve signal and energy efficiencies has made it relevant to various industry applications, including the Internet of Things (IoT), smart manufacturing, cognitive radio, radar, and Multiple-Input Multiple-Output (MIMO) systems. This paper presents a comprehensive review of the IRS’s structure and hardware requirements, channel estimation, optimization methods, and key applications to enable readers to understand how the IRS operates, its benefits, and some of the challenges involved in its application. The structure and hardware requirements are important to understand as they dictate the material composition, number, and arrangement of reflecting elements, and their reconfigurability. Channel State Information (CSI) plays a crucial role in optimized transmission as it gives information on the channel conditions, enabling users to tailor their transmission accordingly. In this work, all scholarly papers related to the IRS published between 2010-2024 were considered, sampled, and categorized based on the key themes. An analysis of the hardware and architecture reveals that transceiver hardware imperfections significantly affect IRS optimization and should be considered. While several channel estimation techniques offer comparable benefits, accuracy turns out to be the most important factor to consider. Further, results show that flexibility and inference accuracy make machine learning techniques superior to other optimization methods. Still, challenges remain in relation to IRS standardization, privacy concerns, and handover techniques that ought to be addressed for future industrial integration.
The Material and Energy Conversion Potential from Municipal Waste in Padang City: Business Chance and Future Prospective Putra, Alqadri Asri; Rasyidin, Azwar
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 1 (2024): May 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i1.104

Abstract

Padang City, the capital city of West Sumatra Province, is expected to grow and reach a population of 1 million by 2035. However, this growth also means an increase in municipal solid waste, projected to be about 256,000 tons annually. At the same time, there is potential for waste-to-energy conversion in Padang City due to the demand for renewable energy and business opportunities. This study is based on existing literature and data, which were analyzed using a statistical approach and municipal solid waste management calculations. The study conducted scenarios that show potential energy conversions. The first scenario involves converting solid waste to gas and using it directly as biogas. The second scenario involves converting biogas from solid waste to electricity and distributing it for household use. The last scenario consists of using small and medium-sized biodigesters to convert gas into electricity, which will then be used as a charging station for electric vehicles (EVs). The first scenario can generate the most significant profit, while the third scenario suits small and medium businesses. However, each scenario has its pros and cons. Still, it's crucial to consider regulation issues, government support, and public awareness of the environmental problems to implement these waste-to-energy conversion practices on-site successfully.
Use of IoT Technology in Home Security Monitoring Systems: A Review Fitriyan, Rahmawati; Muhammad Imran Hamid; Abdul Rajab
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 1 (2024): May 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i1.111

Abstract

Utilizing IoT technology in home security monitoring systems offers an effective solution to improve energy efficiency and security by allowing users to monitor and control electronic devices remotely via the Internet. The basic principles of a smart home include reliable connectivity, device interoperability, stringent security and privacy, and energy efficiency. IoT communications are supported by technologies such as RFID and Wi-Fi to ensure effective wireless data transmission. IoT facilitates connecting new devices without additional installation, using technologies such as Wi-Fi, Barcodes (QR codes), and Bluetooth for various applications. The application of IoT in home security monitoring involves platforms such as Blynk and web servers for remote control, with a focus on data protection and system security. This paper compiles various research and conference-related aspects of IoT, including privacy, educational guidelines, system characterization, innovative grid communications, bridge monitoring, RFID authentication, Wi-Fi technology, Bluetooth communications, smart home applications, and security systems. Topics covered include energy monitoring systems, smart home security, earthquake detection, IoT privacy and security, automation, edge intelligence, and Internet of Things architecture.
Development of 220V Overcurrent Relay Protection System Based on Internet of Things Hasibuan, Arnawan; Hafidzuddin, Muhammad; Misbahul Jannah; Jintaka, Dhandis Rito; Kerimzade G.S
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 5 No. 1 (2025): May 2025
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v5i1.40

Abstract

Electrical protection is essential to keep electrical systems safe. A suitable protection system can create a safe situation in the event of an overcurrent or voltage drop in the power grid. This can be caused by various factors such as usage, short circuits, or other disturbances. An electrical load control system regulates and monitors power consumption to prevent overcurrents and short circuits. The current reading process uses the current sensor and voltage sensor PZEM-004T, and when the set consumption exceeds the consumption, the relay holds the electric load. Also, the LCD is used to display the power consumption, and the keypad is used to enter the power limit. On the other hand, remote monitoring uses NodeMCU ESP826. Arduino Uno R3 is also a microcontroller that controls the central system. This study aims to create a prototype to monitor, limit, adjust, and control energy consumption to minimize energy consumption. This tool can monitor current and voltage and limit electrical energy consumption if necessary. This research is expected to alleviate the problem of house fires caused by overcurrents. 
Performance Evaluation of Load Frequency Control in Reheat Power Systems with Filtered PID Controllers Laksono, Heru Dibyo; Avif Tiftazani; Mumuh Muharam; Rizki Wahyu Pratama; Riko Nofendra; Ramadhani, Salisa 'Asyarina
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 5 No. 1 (2025): May 2025
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v5i1.95

Abstract

This study aims to design and analyze a Load Frequency Control (LFC) system for a power plant with a reheat turbine, using PID-based controllers with various filter configurations to optimize frequency stability under load fluctuations. A series of PID, PD, and PDF controllers is implemented and tested through MATLAB simulations, focusing on key dynamic performance indicators such as rise time, peak time, settling time, and maximum overshoot. The findings reveal that PD and PDF controllers—particularly those that omit droop characteristics and incorporate filters—consistently outperform conventional PID controllers regarding faster response and improved transient stability. The integration of filters plays a crucial role in dampening oscillations and reducing overshoot, which is essential in maintaining system robustness during load disturbances. However, the study also identifies that the absence of droop control introduces limitations in achieving steady-state accuracy. Despite improvements in dynamic performance, the system continues to exhibit steady-state deviations, highlighting a trade-off between transient responsiveness and long-term stability. This underscores the need for hybrid or adaptive control strategies that combine fast response benefits with droop-based steady-state correction. The study contributes valuable insights toward developing more resilient and efficient frequency control mechanisms in modern power generation systems.
Study of the Effect of Pink Noise, White Noise, Sinusoidal, and Real Audio Signals with MATLAB-based Sound Pressure Level Kartika; Misriana; Permana Putra, Fitra
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 5 No. 1 (2025): May 2025
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v5i1.128

Abstract

This study presents a comprehensive methodology for measuring Sound Pressure Level (SPL) utilising MATLAB software. Through analysing four distinct categories of audio signals—Pink Noise, White Noise, Sinusoidal, and Real Audio—this research aims to investigate the fundamental acoustic properties associated with each signal type. The SPL measurement process employs specialised MATLAB functions tailored to each specific signal. The results are meticulously analysed to better understand the acoustic responses regarding energy and frequency spectrum. Furthermore, visual representations of the audio signals are provided to facilitate a clearer understanding of the structure and patterns inherent in each signal type. The outcomes of this study contribute valuable insights into SPL measurement within diverse audio contexts while also advancing the understanding of MATLAB’s role in exploring acoustic characteristics. The analysis is expected to offer a refined perspective on the application of MATLAB in acoustic research, thereby showcasing its broader potential within the field of audio engineering. Consequently, this research makes a significant scientific contribution and paves the way for future advancements in the domain.
Electroencephalography on Controlling Assistive Device: A Systematic Literature Review Salisa 'Asyarina Ramadhani; Muhammad Ilhamdi Rusydi; Andrivo Rusydi; Minoru Sasaki; Luxfy Roya Azmi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 2 (2024): November 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i2.42

Abstract

The present article delves into the practical applications of electroencephalography (EEG) in assistive devices. The article thoroughly summarizes the current state of the art, research trends, methods, and implementation. The focus is primarily on how EEG can operate various assistive devices effectively, incorporating artificial intelligence, machine learning, and several computing methods. The authors emphasize the importance of conducting more research and development in the field and offer valuable insights into its prospective directions. A complete search of the Scopus database from 2017 to 2022, including journals and proceedings such as IEEE Xplore, MDPI, Springer, Frontiers, and ScienceDirect, was conducted to ensure the findings are as comprehensive as possible. Conferring to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, 4397 metadata were transformed into 45. Based on the data synthesis, the following study execution must prioritize determining whether the observed signals are attributable to EEG artifacts or actual EEG signals. The derivation of input signals for controlling helpful devices can be enhanced by utilizing familiar activities, such as facial muscle movements, and employing various machine-learning techniques to ensure high levels of accuracy.
Nonlinear Parameter Identification of the Franka Emika PANDA Robot: A Comparative Analysis of Friction Models Soto, Gilbert; Irungu Maina, Francis; Byiringiro, Jean B.
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 2 (2024): November 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i2.101

Abstract

This research addresses the problem of dynamic parameter identification for robot manipulators. As the complex manipulation of tasks increases, traditional control methods become insufficient, necessitating accurate model-based control. Previous studies have explored various parameter identification methods for robot manipulators. Still, the impact of different friction models on dynamic parameter identification, particularly for the Franka Emika PANDA robot, is yet to be comprehensively investigated. The linear and nonlinear parameter identification methods and nonlinear friction models (Lugre, Stribeck, and Sigmoidal) were studied on the PANDA robot. A linear inverse dynamic model was developed using the Newton-Euler method. Identification and validation trajectories were designed. Nonlinear constraints and bounds were applied for easier convergence, ensuring a positive definite inertia tensor in the center of mass (COM) frame. Using constrained least squares with Lasso regularisation, model-estimated torques comparison to measurements was done to estimate the physical parameters, considering the PANDA robot’s hand as a payload. We obtained the PANDA robot’s physical parameters, including the hand’s mass, without a friction model where discrepancies in joint torques were observed. Incorporating friction models reduced these discrepancies, validated by another trajectory comparison between the measured and the model’s predicted joint torques. Stribeck friction model exhibited the best performance in estimating parameters from its Root Mean Square Error (RMSE) and Mean Absolute Error (MAE), indicating its effectiveness in capturing nonlinearities in the PANDA robot.
Portable Pico Hydro Power Plant with Cross Flow Turbine by Water Springs Flow in Limau Manis Padang Zulka Hendri; Yudia Meka Seftiani; Akbar Abadi; Wiwik Wiharti; Fandi Ahmad
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 2 (2024): November 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i2.132

Abstract

This research examines the design and implementation of a Portable Pico Hydro Power Plant (PHPP) featuring a cross-flow turbine with a capacity of 300 watts. Pico hydro is a compact and efficient form of hydropower generation tailored to meet the energy requirements of remote plantation areas. The primary aim of this study is to optimize the use of low-flow water sources and low-head conditions. The research encompasses a comprehensive evaluation of several critical factors, including the assessment of water source conditions, the selection of suitable turbine and generator designs, the configuration of the system, and a thorough performance evaluation. By employing a cross-flow turbine, the Pico Hydro system is designed to convert the kinetic energy generated by flowing water into mechanical energy, which is then transformed into electrical energy. The findings of this study reveal that the portable PHPP provides a stable and sustainable energy supply for off-grid locations. This system holds considerable promise for improving energy accessibility in rural and remote regions, positioning it as a viable solution for renewable energy applications.
Analysis Comparison of PSMEID With Preview for Controlling Shock Vibration of UAV’s Landing Gear System Darmawan; Lovelyson; Meifal Rusli; Rahmadi Kurnia; Amirul Luthfi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 5 No. 1 (2025): May 2025
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v5i1.135

Abstract

Semi-active dampers reduce the effects of shock vibrations because they can operate at specific vibration frequencies at a lower cost than more complex active dampers.  PSMEID is one of the alternative methods developed in the semi-active damping system. PSMEID has been developed by adapting it by adding a PSMEID active time prediction system when an impact occurs. This research attempts to compare two types of PSMEID with active time prediction, where the position of each model offered has a different PSMEID mass position when applied to the landing gear damper of an Unmanned Aerial Vehicle (UAV). This comparison aims to give the user a choice among these optimal models suitable for use in multiple conditions. When simulated using the same parameter values, the PSMEID placed on the unsprung mass can reduce acceleration amplitude by up to 6.6 percent when the landing gear is dropped at 0.15 meters from the ground. The model that places the PSMEID on the sprung mass can help reduce the velocity amplitude up to 8.8 percent when dropped at a height of 0.05 meters, and the spring constant value of the PSMEID (KPS) is 1600 N/m. All these simulations show that the PSMEID should be activated just before the landing gear hits the runway surface (TB < TL).

Page 7 of 9 | Total Record : 81

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