Sakinah Zakaria
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Preferred name
Sakinah Zakaria
Official Name
Sakinah, Zakaria
Alternative Name
Zakaria, Sakinah S.
Zakaria, Sakinah
Zakaria, S. S.
Main Affiliation
Scopus Author ID
57216322620
Researcher ID
GPF-6043-2022

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  • Publication
    An investigation of energy consumption in fused deposition modelling using ESP32 IoT monitoring system
    (Elsevier, 2023)
    Sakinah Zakaria
    ;
    Paul Mativenga
    ;
    Engku Ahmad Rafiqi Engku Ariff
    Energy price and availability have become an urgent global challenge. Manufacturers need to model and reduce energy consumption and cost. To enable energy smart manufacturing using Industry 4.0, there is a need to develop a framework for energy monitoring using Internet of Things (IoT). In this paper, an energy-monitoring device has been developed using ESP32 as IoT system to monitor energy consumption on the fused deposition modelling machine. The energy consumed is measured and categorised according to its manufacturing process states. This paper proposes an IoT system capable of simultaneously measuring the energy consumed in the machine's components during the printing process into idle state, warm-up state, printing state and cool-down state. This platform technology can be a basis for simultaneous monitoring of multiple machines in a production system.
  • Publication
    Investigation on magnetometer as potential sensors for infusion pump utilisation status
    ( 2021-12-01)
    Engku Ahmad Rafiqi Engku Ariff
    ;
    Ammar Zakaria
    ;
    Latifah Munirah Kamarudin
    ;
    Syed Muhammad Mamduh Syed Zakaria
    ;
    Sakinah Zakaria
    ;
    Visvanathan R.
    The utilisation of medical device e.g. an infusion pump is commonly treated as nontrivial process in service and maintenance section albeit in actuality, it is a crucial process for determining its correct maintenance cycle. Therefore, a discussion on the capability of magnetometer sensor as one of potential sensors to be used to keep track the utilisation status of infusion pump. The variation of magnetic flux density and its frequency produced by the stepper motor inside the infusion pump is measured and analysed through magnetometer sensor, embedded inside a Bluetooth Low Energy (BLE) device. Obtained result shows that magnetometer sensor has the potential to track the utilisation status of the tested infusion pumps.
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