Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Teknika
Mohd Tarmizi Ibrahim
Electrical and Automation Department, Faculty of Engineering Technology, University College TATI, Terengganu, Malaysia
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
IoT IMPLEMENTATION BASED ON POWER QUALITY NETWORK ANALYZER FOR 3-PHASE INDUCTION MOTOR CONTROL Muhammad Afiq Aiman; Ammar Husaini Hussian; Mohd Tarmizi Ibrahim; Slamet Pambudi
Teknika Vol 10 No 2 (2025): October 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/teknika.v10i2.612

Abstract

This study presents the design and implementation of a Power Quality Network Analyzer (PQNA) employing an ESP32 microcontroller to monitor and analyze key power quality parameters, including voltage, current, power factor, and total harmonic distortion (THD) for each phase of a three-phase induction motor. Traditional monitoring systems rely on manual or fixed data acquisition methods, which are inadequate for achieving efficient real-time data analysis. In contrast, the proposed system utilizes the RS-485 communication protocol, ensuring robust and reliable industrial data transfer, and functions as a data gateway that transmits all acquired parameters to the Thinger.io cloud platform for real-time visualization and analytics. This configuration enables enhanced diagnostic capabilities and predictive maintenance, improving system reliability and operational efficiency. Furthermore, the project demonstrates the potential of IoT integration in enabling remote assessment of power quality, thereby minimizing motor downtime and facilitating data-driven decision-making for performance optimization in industrial environments. The proposed framework also contributes to the advancement of intelligent industrial automation, emphasizing how real-time data analytics can significantly enhance productivity and sustainability.
PERFORMANCE ANALYSIS OF FOOTWEAR SENSORS FOR VOLTAGE MONITORING Muhamad Aiman; Ruzlaini Ghoni; Mohd Tarmizi Ibrahim; Fariyono Fariyono
Teknika Vol 10 No 2 (2025): October 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/teknika.v10i2.613

Abstract

Advances in wearable technology are driving innovation in efficient, self-powered biomechanical monitoring systems. One promising approach uses piezoelectric sensors to generate energy while detecting foot (plantar pressure) during physical activity. This study aims to design and test a piezoelectric-based insole system capable of performing dual functions: harvesting mechanical energy from footsteps and analyzing fatigue patterns and gait asymmetry. The research used an experimental approach involving 10 male respondents aged 15–31. Each insole was equipped with four DLAY piezoelectric sensors placed on the heel and forefoot of the right and left feet, and connected to a Raspberry Pi Pico RP2040 microcontroller for voltage data acquisition. The data was analyzed using voltage changes to indicate foot pressure distribution and muscle fatigue. The results showed that the system could generate voltages between 0.025 V and 0.082 V, with an average harvested power of 4.8mW. 70% of respondents experienced decreased voltage in one leg, indicating unilateral fatigue and gait imbalance. Respondent 10 showed the most significant voltage decrease in the left heel sensor (<0.03 V after 1000 seconds), while the right foot remained stable (0.045–0.055 V). In contrast, Respondent 5 showed stable and symmetrical voltage distribution throughout the test session.
Co-Authors Ammar Husaini Hussian Fariyono Fariyono Muhamad Aiman Muhammad Afiq Aiman Ruzlaini Ghoni Slamet Pambudi