Siti Nurul Aqmariah Mohd Kanafiah
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Preferred name
Siti Nurul Aqmariah Mohd Kanafiah
Official Name
Siti Nurul Aqmariah, Mohd Kanafiah
Alternative Name
Kanafiah, S. N.Aqmariah
Kanafiah, S. N.A.M.
Kanafiah, Siti Nurul Aqmariah Mohd
Aqmariah Kanafiah, S. N.
Kanafiah, S. N. A. M
Main Affiliation
Scopus Author ID
55987982900
Researcher ID
HTR-1815-2023

Research Output

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  • Publication
    Model Reference Adaptive Controller Design for Electrohydraulic Actuator System with Varying Disturbance
    ( 2022-01-01)
    Othman S.M.
    ;
    Yi W.K.
    ;
    Rustam R.A.
    ;
    Rahmat M.F.
    ;
    Azalan M.S.Z.
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Hashim M.S.M.
    ;
    Siti Nurul Aqmariah Mohd Kanafiah
    The objective of this study is to design and analyze the performance of the designed controllers on the presence of varying mismatched disturbances. This research provides a clear the selected approaches for the controllers’ design implementation of the electro-hydraulic actuator (EHA) system, an adaptive controller, the Model Reference Adaptive controller (MRAC). Subsequently, this research is considered another controller, the Proportional Integral Derivative (PID) for comparing the best control performance for the electro-hydraulic actuator system with varying mismatched disturbance. PID controller has been tuned by using two different tuning techniques. The Trial-and-error and Ziegler-Nichols tuning method have been proposed for attaining the desired control system response in this research. Simulation results show that the MRAC provides the best response performance among the designed methods for every specific disturbance setting at 0 N, 5000 N and 10,000 N. The MRAC method dominantly achieves the faster response in rise time for every disturbance respectively.
  • Publication
    IoT Based Smart Betta Fish Monitoring system with fish fatality prediction.
    ( 2023-01-01)
    Julida N.L.
    ;
    Othman S.M.
    ;
    Mohd Nasir Ayob
    ;
    Rahim N.A.
    ;
    Siti Nurul Aqmariah Mohd Kanafiah
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Hashim M.S.M.
    ;
    Talib M.T.M.
    ;
    Khalid N.S.
    This study enlightens the importance of rearing water quality to Betta fish health. A water quality monitoring system was developed based on water quality parameters namely water pH, temperature (°C) and TDS level (ppm). Fuzzy Logic Algorithm was applied to predict the possibility of the fish to get infected by the disease using combination of the water quality parameters value. Graphical User Interface (GUI) was developed to test the efficiency of the fish disease prediction system using fuzzy logic algorithm before the fuzzy rule been embedded to the IOT system. Arduino Uno Wi-Fi R2.0 and Blynk Apps used for enabling the system to update the aquarium water quality to owner in real-time. Hydroponic technology implemented in this project for recirculate rearing water inside the fish tank. Theoretically, the aquaponic system will help regulate the water tank parameters in optimum range and Betta Splendens should be free from all diseases.
  • Publication
    IoT Based Smart Betta Fish Monitoring system with fish fatality prediction.
    ( 2023-01-01)
    Julida N.L.
    ;
    Siti Marhainis Othman
    ;
    Mohd Nasir Ayob
    ;
    Norasmadi Abdul Rahim
    ;
    Siti Nurul Aqmariah Mohd Kanafiah
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Mohd Sani Mohamad Hashim
    ;
    Masturah Tunnur Mohamad Talib
    ;
    Nurul Syahirah Khalid
    This study enlightens the importance of rearing water quality to Betta fish health. A water quality monitoring system was developed based on water quality parameters namely water pH, temperature (°C) and TDS level (ppm). Fuzzy Logic Algorithm was applied to predict the possibility of the fish to get infected by the disease using combination of the water quality parameters value. Graphical User Interface (GUI) was developed to test the efficiency of the fish disease prediction system using fuzzy logic algorithm before the fuzzy rule been embedded to the IOT system. Arduino Uno Wi-Fi R2.0 and Blynk Apps used for enabling the system to update the aquarium water quality to owner in real-time. Hydroponic technology implemented in this project for recirculate rearing water inside the fish tank. Theoretically, the aquaponic system will help regulate the water tank parameters in optimum range and Betta Splendens should be free from all diseases.
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