Mohamed Mydin Hj M.Abdul Kader
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Preferred name
Mohamed Mydin Hj M.Abdul Kader
Official Name
Mohamed Mydin , Hj M.Abdul Kader
Alternative Name
Kader, M. M.A.
Abdul Kader, M. Mohamed Mydin
Mohamed, M. M.A.K.
Abdul Kader, Mohamed Mydin M.
Kader, M. M.M.A.
Main Affiliation
Scopus Author ID
57202264868
Researcher ID
CYH-3060-2022

Research Output

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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
    Malaria Parasite Diagnosis Using Computational Techniques: A Comprehensive Review
    ( 2021-12-01)
    Wan Azani Wan Mustafa
    ;
    Hiam Alquran
    ;
    Muhammad Zaid Aihsan
    ;
    Mohd Saifizi Saidon
    ;
    Wan Khairunizam Wan Ahmad
    ;
    Aimi Salihah Abdul Nasir
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Midhat Nabil Ahmad Salimi
    ;
    Mohd Wafi Nasrudin
    Malaria is a very serious disease that caused by the transmitted of parasites through the bites of infected Anopheles mosquito. Malaria death cases can be reduced and prevented through early diagnosis and prompt treatment. A fast and easy-to-use method, with high performance is required to differentiate malaria from non-malarial fevers. Manual examination of blood smears is currently the gold standard, but it is time-consuming, labour-intensive, requires skilled microscopists and the sensitivity of the method depends heavily on the skills of the microscopist. Currently, microscopy-based diagnosis remains the most widely used approach for malaria diagnosis. The development of automated malaria detection techniques is still a field of interest. Automated detection is faster and high accuracy compared to the traditional technique using microscopy. This paper presents an exhaustive review of these studies and suggests a direction for future developments of the malaria detection techniques. This paper analysis of three popular computational approaches which is k-mean clustering, neural network, and morphological approach was presented. Based on overall performance, many research proposed based on the morphological approach in order to detect malaria.
  • Publication
    Methylene blue dye adsorption by using deep eutectic solvent pre-treated wood chips
    ( 2022-11-18)
    Muhammad Masrur Jamil
    ;
    Ahmad Anas Nagoor Gunny
    ;
    Mohd Sharizan Md Sarip
    ;
    Mohd Faizal Ab Jalil
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Mohamed Syazwan Osman
    ;
    Zulkarnain Mohamed Idris
    Adsorption of Methylene Blue using biomass or bioproduct of industries has received major attention by the researcher and industries. In this study, wood chips treated using deep eutectic solvents (DES) was used for adsorption of methylene blue. The surface and pores of this wood chips were analyzed by using scanning electron microscope (SEM). One Factor At a Time (OFAT) method was carried out to study the effect of contact time and biomass dosage on adsorption efficiency. Evaluation of pretreated wood chips biosorption, isotherms and kinetics were also studied.. Wood chips treated with DES changes the surface area and the pores of wood chips and improved the adsorption process efficiency. Freundlich isotherm and pseudo-second show correlation coefficient of R2, 0.9591 and 0.9999 respectively. Wood chips treated using deep eutectic solvents demonstrate a great potential as a cheap biosorbent for the removal of methylene blue by looking at the isotherm and kinetic studies.
  • 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
    Think-aloud Technique in Assessing Practical Experience: A Pilot Study
    ( 2020-12-18)
    Zol Bahri Razali
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Affendi N.S.S.R.
    ;
    Daud M.H.
    The learning domains such as cognitive, affective and psychomotor for Engineering Technology programs should be identified and valued. The acquisition of hands-on experience in workplace settings and laboratory classes is just as important as explicit technical knowledge, and should be measured in psychomotor domain. However, the explicit knowledge is valued in engineering technology education. Furthermore, practically all assessments measure cognitive value. This implicit devaluation of hands-on experience could significantly impair engineering technology students' ability to acquire and value practical skills. Therefore, developing a new model to include effective assessment in psychomotor domain could be one way to overcome this problem. Thus, the aim of this project is to find ways to measure changes in hands-on experience in engineering laboratory classes. The second aim is to test the relationship between hands-on experiences acquired in laboratory classes with the ability to diagnose simple experiment faults in laboratory arrangements. The method of think-aloud is used in the research where the finding of students' attainment is compared to experts' acquisition. The results show that the value of psychomotor domain in laboratory classes via hands-on experience can be assessed and valued between two groups of students which is experiment and control group. Methodologies and detail results for this research are described in this project.
  • 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
    Characterizing Global Hand-Crafted Feature Descriptors for Sketch-Based Image Retrie
    ( 2022-02-14)
    Abbas M.H.
    ;
    Che Ani A.I.
    ;
    Abd Samat A.A.
    ;
    Hazim M.A.
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Setumin S.
    ;
    Muhammad Faisal Hamidi @ Abdul Rani
    Sketch-based Image Retrieval (SBIR) is an essential method of searching objects by drawing them in two-dimensional (2-D). The SBIR problem was that the image inside the dataset did not match the pair due to its modality difference. The main objective of this research is to compare which descriptor is better adapted to the SBIR. Histogram of Oriented Gradient (HOG), Gabor, and Local Binary Pattern (LBP) are selected for the study. Each sample will be divided into distance measures with features vector that corresponds to the training dataset will be compared the performance in order to study the best adapted to SBIR. Histogram of Oriented Gradient (HOG) is identified as the best descriptor for SBIR. HOG has shown a better performance than Gabor and LBP since the method shows the highest percent of distance matrices accuracy.