Zol Bahri Razali
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Preferred name
Zol Bahri Razali
Official Name
Zol Bahri, Razali
Alternative Name
Razali, Zol Bahri
Razali, Z. B.
Main Affiliation
Scopus Author ID
55050201000
Researcher ID
AAD-8927-2019

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  • Publication
    Self-assessing psychomotor skills using thinking-aloud technique via smartphone
    ( 2022)
    Nor Syamina Sharifful Mizam
    ;
    Zol Bahri Razali
    ;
    Mohamed Mydin Hj M.Abdul Kader
    This research aims to design and develop an automated device for self-assessing psychomotor skills without an instructor’s observation. The lab assessment usually needs an instructor to observe, measure, and analyze the student's skills. It consumed much time to monitor each student. The problem of assessing psychomotor skills in the laboratory can be solved using the latest technology. Thus, the design of an Automated Psychomotor Testing Kit will be used to measure student psychomotor skills via a smartphone. The result can be transmitted to the instructor's smartphone via the Blynk application using the Arduino Mega and Bluetooth module. For this research, 17 students of Robotic and Automation Technology (Treatment Group) and 19 volunteered students from other engineering technology programs (Control Group) participated. The detailed methodology is described in this paper. The results show that there is a significant difference in mean scores between the treatment and control groups. Thus, the researcher can conclude that changes in students' Psychomotor Skills (P.S.) resulting from laboratory classes are statistically significant and be measured.
  • Publication
    Renewable Energy Driven Exhaust Fan for Use in Laboratory via IOT
    ( 2021-01-01)
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Wan Azani Wan Mustafa
    ;
    Zol Bahri Razali
    ;
    Syahrul Affandi Saidi
    ;
    Akbar M.F.
    ;
    Ahmad Anas Nagoor Gunny
    ;
    Osman M.K.
    ;
    Setumin S.
    ;
    Idris M.
    ;
    Mahendran Gunaseakaran
    ;
    Nor Syamina Sharifful Mizam
    This paper discussed on the hardware product of renewable energy driven exhaust fan for use in laboratory via IOT. Ventilation is generally deployed in buildings for maintaining user's safety and health. This renewable energy driven exhaust fan is the most considered system in improving the energy saving while sustaining user's safety and health. If we can renew and reuse the energy we waste, it would help in some way to the problem of scarcity of energy, which is major threat of present world. Initial capital cost of solar systems is still quite high when it comes to generate power for domestic. By using the concept of wind turbines wind-generated electricity can be used for battery charging and for connection with the power grid. Hence this research proposes a prototype of Renewable Energy Driven Exhaust Fan for use in laboratory via IOT. This research presents a prototype of regenerating power by an exhaust fan. The generated power can be either used directly or can be stored in a battery. This exhaust fan also can be controlled and monitored via IOT. The objectives of this research are, to design and develop an exhaust fan that can be driven by renewable energy, to design and develop an exhaust fan that can be controlled by IoT and to collect data and analyze the power consumptions and power saving. Methods used in this research is to use power from battery to operate the Fan 1. Than this kinetic energy produced by Fan 1 is used to drive Fan 2 and Fan 3 which are now actually a pair of generators with the help of charging circuit to directly recharge the battery which at first used to power up Fan 1. Analysis is then carried out to evaluate the theory, which actually agreed to the initial theory as presented
  • Publication
    Transformation of Thinking-Aloud in assessing hands-on psychomotor: A pilot study
    ( 2021-07-21)
    Zol Bahri Razali
    ;
    Nor Syamina Sharifful Mizam
    ;
    Mohd Hisam Daud
    ;
    Mohamed Mydin Hj M.Abdul Kader
    Evaluation of laboratory experiences of engineering and engineering technology students has led to an increasing in the attention being paid to the development of students' psychomotor skills. One of the reasons that psychomotor seems to be less important in the past is because of the lack of suitable measuring tools despite it is important in the engineering and engineering technology course. Furthermore, a current assessment which is using report and test to evaluate the experience of student practice in the laboratory only help in assessing students' knowledge in cognitive skill. Thus, a new study method is needed to focus on evaluating engineering technology students in terms of their understanding of the component called 'hands-on practical experience' during their practical skill classes or experiment. The existing technique for evaluating psychomotor abilities that have emerged from attempts to improve selection in recruitment processes may provide a potentially useful tool for such a purpose. The point of this study is to create a new approach to test a change in practical experience to assess unintentional learning related to classic psychomotor skills in engineering technology laboratory classes. The methodology used to build up the instrument is portrayed and the empirical data collected to support its validity is presented. Thus, this research aims to find a way to measure the practical skill involve in a psychomotor change in an engineering laboratory class.
  • Publication
    Transformation of Thinking-Aloud in assessing hands-on psychomotor: A pilot study
    ( 2021-07-21)
    Zol Bahri Razali
    ;
    Nor Syamina Sharifful Mizam
    ;
    Mohd Hisam Daud
    ;
    Mohamed Mydin Hj M.Abdul Kader
    Evaluation of laboratory experiences of engineering and engineering technology students has led to an increasing in the attention being paid to the development of students' psychomotor skills. One of the reasons that psychomotor seems to be less important in the past is because of the lack of suitable measuring tools despite it is important in the engineering and engineering technology course. Furthermore, a current assessment which is using report and test to evaluate the experience of student practice in the laboratory only help in assessing students' knowledge in cognitive skill. Thus, a new study method is needed to focus on evaluating engineering technology students in terms of their understanding of the component called 'hands-on practical experience' during their practical skill classes or experiment. The existing technique for evaluating psychomotor abilities that have emerged from attempts to improve selection in recruitment processes may provide a potentially useful tool for such a purpose. The point of this study is to create a new approach to test a change in practical experience to assess unintentional learning related to classic psychomotor skills in engineering technology laboratory classes. The methodology used to build up the instrument is portrayed and the empirical data collected to support its validity is presented. Thus, this research aims to find a way to measure the practical skill involve in a psychomotor change in an engineering laboratory class.
  • Publication
    Renewable Energy Driven Exhaust Fan for Use in Laboratory via IOT
    ( 2021-01-01)
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Wan Azani Wan Mustafa
    ;
    Zol Bahri Razali
    ;
    Syahrul Affandi Saidi
    ;
    Ahmad Anas Nagoor Gunny
    ;
    Akbar M.F.
    ;
    Osman M.K.
    ;
    Setumin S.
    ;
    Idris M.
    ;
    Mahendran Gunaseakaran
    ;
    Nor Syamina Sharifful Mizam
    This paper discussed on the hardware product of renewable energy driven exhaust fan for use in laboratory via IOT. Ventilation is generally deployed in buildings for maintaining user's safety and health. This renewable energy driven exhaust fan is the most considered system in improving the energy saving while sustaining user's safety and health. If we can renew and reuse the energy we waste, it would help in some way to the problem of scarcity of energy, which is major threat of present world. Initial capital cost of solar systems is still quite high when it comes to generate power for domestic. By using the concept of wind turbines wind-generated electricity can be used for battery charging and for connection with the power grid. Hence this research proposes a prototype of Renewable Energy Driven Exhaust Fan for use in laboratory via IOT. This research presents a prototype of regenerating power by an exhaust fan. The generated power can be either used directly or can be stored in a battery. This exhaust fan also can be controlled and monitored via IOT. The objectives of this research are, to design and develop an exhaust fan that can be driven by renewable energy, to design and develop an exhaust fan that can be controlled by IoT and to collect data and analyze the power consumptions and power saving. Methods used in this research is to use power from battery to operate the Fan 1. Than this kinetic energy produced by Fan 1 is used to drive Fan 2 and Fan 3 which are now actually a pair of generators with the help of charging circuit to directly recharge the battery which at first used to power up Fan 1. Analysis is then carried out to evaluate the theory, which actually agreed to the initial theory as presented
  • Publication
    Automotive Mechanical Vehicle Starter
    ( 2021-12-01)
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Zol Bahri Razali
    ;
    Wan Azani Wan Mustafa
    ;
    Syahrul Affandi Saidi
    ;
    Ahmad Anas Nagoor Gunny
    ;
    Setumin S.
    ;
    Osman M.K.
    ;
    Idris M.
    ;
    Akbar M.F.
    ;
    Muhammad Anas Ahmad Sarbini
    ;
    Nor Syamina Sharifful Mizam
    This research is used to crank start automotive vehicle. There are many different system used in order to start-up vehicles using electric starter, in the time of battery low-power or totally drained. The purpose of this research is to help the driver to get out of this difficulty. Nowadays there are many people that have experienced such a bad moment, where they are stranded at road side due to malfunction starter in their car because of battery problem. Most of the vehicle electric starter failure is because of battery corrosion or battery undercharged. The importance of this research is to solve this problem. Starter is a vital part of the vehicle, without it no automotive vehicles able to operate. These starters will rotate an internal-combustion engine to initiate the engine's operation under its own power. Starters also can be malfunction too due to corroded electrical connections or an undercharged battery. This system can be used to solve this problem. This system used human energy by using mechanical parts in order to produce electrical power. In order to produce electrical current, workforce will be applied by rotating the wheel that already linked by belt and from that rotations will trigger a magnetic force and it will produce an electrical current and supply it into battery. This system is divided into two development; hardware development and software development. The hardware development involved, mechanical device which is used and electrical device such as monitor. For software development, Fritzing is used to construct circuit.
  • Publication
    Urban Farming Growth Monitoring System Using Artificial Neural Network (ANN) and Internet of Things (IOT)
    ( 2025-01-01)
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Muhammad Naufal Mansor
    ;
    Wan Azani Wan Mustafa
    ;
    Zol Bahri Razali
    ;
    Ahmad Anas Nagoor Gunny
    ;
    Samsul Setumin
    ;
    Muhammad Khusairi Osman
    ;
    Mohaiyedin Idris
    ;
    Akbar M.F.
    ;
    Premavathy Kunasakaran
    ;
    Muhammad Zubir Zainol
    ;
    Nor Syamina Sharifful Mizam
    As an introduction to this project, the growth-related traits, such as above-ground biomass and leaf area, are critical indicators to characterize the growth of indoor lettuce plants. Currently, non-destructive methods for estimating growth-related traits are subject to limitations in that the methods are susceptible to noise and heavily rely on manually designed features. It is also one of the problem statements in this project. Based on this project the next problem is manual control of nutrients may cause quality issues to the lettuce plant. If the nutrient supply is too much or less, it will disturb the growth of the lettuce plant either the lettuce plant is dead or stunted. This project is about urban farming growth monitoring system using Artificial Neural Network (ANN) and Internet of Things (IoT). In this project, a method for monitoring the growth of indoor lettuce plants was proposed by using digital images and an ANN using Deep Learning Architecture. DLA is mostly developed by the software of MATLAB or Python to insert and run the coding. DLA is mostly used for image detection, pattern recognition, and natural language processing through the graph for Neural Network. Next, the Internet of Things (IoT) is a medium to store images of indoor lettuce plant growth into the Cloud (Google Drive). Furthermore, it takes indoor lettuce plant images as the input, an ANN was trained to learn the relationship between images and the corresponding growth-related traits with other fixed parameters. The pH level parameters were controlled by other fixed parameters to take the images of indoor lettuce plant growth. The parameters used in this project are temperature and humidity. This helps to compare the results of Artificial Neural Network (ANN), widely adopted methods were also used. Concisely, this project is expected to develop the Deep Learning Architecture using an Artificial Neural Network (ANN) with digital images as a robust tool for the monitoring of the growth of indoor lettuce plants every 30 minutes per day. Generally, focused on an urban farming growth monitoring system using Artificial Neural Network (ANN) and the Internet of Things (IoT).