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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Noor Fadzilah Razali
Universiti Teknologi MARA

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Real time robustness test evaluation performance for intelligent fuzzy controller in extraction process Z. M. Zakiah Mohd Yusoff; Nur Dalila Khirul Ashar; Zuraida Muhammad; Amar Faiz Zainal Abidin; Noor Fadzilah Razali; Shakira Azeehan Azli; A.M. MaArkom; Khairul Kamarudin Bin Hasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1290-1296

Abstract

This paper presents the real time robustness test using intelligent fuzzy based controller in extraction process of essential oil is discussed in this study. Previous finding shows that the quality of the essential oil is affected by the steam temperature that acts as the control variable in this study. The robustness test is applied to the system during running process to show the system is robust to any operation conditions t make sure the controller is able to give a smooth control output response. The dynamic performance of the system are represented by applying  standard performance criteria such as rise time Tr, settling time Ts, overshoot %OS, root mean square error (RMSE) and time on recovering load disturbance. Generally, the objectives in designing the controllers have been achieved because all intelligent fuzzy based controllers capable to regulate the desired set point by acting on the change in the output compared with the set point.
IOT-Based smart street lighting enhances energy conservation Zakiah Mohd Yusoff; Zuraida Muhammad; Mohd Syafiq Izwan Mohd Razi; Noor Fadzilah Razali; Muhd Hussaini Che Hashim
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp528-536

Abstract

The electricity generation cost is escalating every year while the electric energy is indispensable and increasing in demand. The resources for energy generation is also depleting due to the increasing demand of power. Thus, a system that can reduce the energy wastage and the massive expenses is essential. Street light system is one of the systems that can reduce energy consumption. The massive energy consumption from the current street light system is not efficient enough to reduce the wasted energy. By implementing an IOT-based smart street light system, the power consumption of the street light will be optimized. This system will also provide the ability to monitor input voltage for Arduino MEGA 2560 microcontroller and control the street light through IOT. The concept of this smart system is to introduce an intelligent system which can decide to switch on or off the street light according to the movement detection by using an infrared sensor module. The data will be sent to Arduino Mega 2560, which is a microcontroller that will decide to turn on or off the street light. The Wi-Fi module ESP-01 is implemented to enable the microcontroller to connect to Blynk software for monitoring and controlling purpose. The result shows that the smart street light system is expected to reduce energy consumption up to 45.48% on weekdays and 32.22% on weekends from the present street light system which uses timer system. The IOT-based Smart Street Light system also shows the condition of the street light system based on the Blynk interfaces for maintenance purpose.
Co-Authors A.M. MaArkom Amar Faiz Zainal Abidin Khairul Kamarudin Bin Hasan Mohd Syafiq Izwan Mohd Razi Muhd Hussaini Che Hashim Nur Dalila Khirul Ashar Shakira Azeehan Azli Z. M. Zakiah Mohd Yusoff Zakiah Mohd Yusoff Zuraida Muhammad