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

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  • Publication
    Antioxidant and xanthine oxidase inhibitory activity of sesbania grandiflora extract
    ( 2024-07)
    Ahmad Anas Nagoor Gunny
    ;
    Ahmad Iqrak Azri
    ;
    Mohd Hishamuddin Che Mat
    ;
    Syaheerah Syazana Syalabiah Salim
    ;
    Mohamed Mydin Hj M.Abdul Kader
    Xanthine oxidase is a crucial enzyme in the regulation of uric acid, with elevated levels leading to gout and hyperuricemia. To combat these conditions, a synergistic approach using antioxidants and xanthine oxidase inhibitors presents a promising treatment strategy. Given the side effects of synthetic inhibitors, this study explores the natural xanthine oxidase inhibitory and antioxidant properties of Sesbania grandiflora leaves extract. The analysis revealed a significant free radical inhibition rate of 61.59 ± 0.90% at a concentration of 100 μg/mL. The SC₅₀ value for the leaves extract was 16.59 ± 0.67 μg/mL, compared to 7.76 ± 0.23 μg/mL for gallic acid, a positive control. The leaves extract also demonstrated notable efficiency in inhibiting uric acid formation, with an IC₅₀ value of 0.36 ± 0.341 μg/mL, although this was higher than the 0.01 ± 0.005 μg/mL value for allopurinol. A strong correlation (r = 0.9958) was found between the antioxidant activity and xanthine oxidase inhibition of the extract, underscoring its effectiveness. This study is the first to report the combined effects of xanthine oxidase inhibition and antioxidant activity in Sesbania grandiflora, highlighting its potential as a natural treatment for gout and related diseases.
  • Publication
    Solar Powered Multiple Output Buck Converter
    ( 2020-12-18)
    Muhammad Zaid Aihsan
    ;
    Norhanisa Kimpol
    ;
    Liew Hui Fang
    ;
    Muhammad Izuan Fahmi Romli
    ;
    Wan Azani Wan Mustafa
    ;
    Junaidah Ali Mohd Jobran
    ;
    Mohamed Mydin Hj M.Abdul Kader
    Times have certainly changed over the past few decades, now it seems that technology is getting more compact and efficient. The modern outdoor enthusiast such as hikers, climbers has a problem regarding the lack of power supply to power up electronics when they go for adventure activities. In order to solve this problem, this paper design and develop DC/DC buck converter system to drop down the voltage from the solar photovoltaic (PV) system from 12VDC into 5VDC. This paper is first to start up with design and simulation circuit using simulation to test outcome of this paper in the range of 5VDC & 1.0A and 5VDC & 0.5A. A battery storage is needed to feed electricity independent and battery management of the battery is needed to improve the performance of battery life. This can be done by adding a charge controller unit. The outcome of this paper allows the battery to be charged using the solar panel and at the same time can produce multiple outputs for low voltages used. The software simulation has been done to shows this system produces two different output and the hardware will be developed based on the software results. Software and hardware result, both will be compared and analysed.
  • 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.
      2
  • Publication
    Electronic Nose Testing for Confined Space Application Utilizes Principal Component Analysis and Support Vector Machine
    ( 2020-12-18)
    Bakar M.A.A.
    ;
    Abdullah A.H.
    ;
    Wan Azani Wan Mustafa
    ;
    Zol Bahri Razali
    ;
    Saidi S.A.
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Aman M.N.S.B.S.
    A confined space has a limited space for entry and exit but it is large enough for workers to enter and perform work inside. It is not designed for continuous occupancy because it can contribute atmospheric hazards accidents that threaten the worker safety and industry progress. In this work, we reported the testing an instrument to assist workers for atmosphere testing during pre-entry. An electronic nose (e-nose) using specific sensor arrays is the integration between hardware and software that able to sense different concentrations of gases in an air sample using pattern recognition techniques. The instrument utilizes multivariate statistical analysis which is Principal Component Analysis (PCA) for discriminate the different concentrations of gases and the Support Vector Machine (SVM) to classify the acquired data from the air sample. The instrument was successfully tested using diesel, gasoline, petrol and thinner. The results show that the instrument able to discriminate an air sample using PCA with total variation for 99.94%, while the classifier success rate for SVM indicates at 98.21% for train performance and 95.83% for test performance. This will contribute significantly to acquiring a new and alternative method of using the instrument for monitoring the atmospheric hazards in confined space to ensure the safety of workers during work progress in a confined space.
      2
  • 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.
      2  1
  • Publication
    Reprogramming the articulated robotic arm for glass handling by using Arduino microcontroller
    ( 2017-09-26)
    Zol Bahri Razali
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Mohd Asmadi Akmal Kadir
    ;
    Mohd Hisam Daud
    The application of articulated robotic arm in industries is raised due to the expansion of using robot to replace human task, especially for the harmful tasks. However a few problems happen with the program use to schedule the arm, Thus the purpose of this project is to design, fabricate and integrate an articulated robotic arm by using Arduino microcontroller for handling glass sorting system. This project was designed to segregate glass and non-glass waste which would be pioneer step for recycling. This robotic arm has four servo motors to operate as a whole; three for the body and one for holding mechanism. This intelligent system is controlled by Arduino microcontroller and build with optical sensor to provide the distinguish objects that will be handled. Solidworks model was used to produce the detail design of the robotic arm and make the mechanical properties analysis by using a CAD software.
  • Publication
    Deep Eutectic Solvent-Assisted Synthesis of Nanocrystalline Cellulose Adsorbent for Silver Nitrate Removal
    ( 2023-01-01)
    Ahmad Anas Nagoor Gunny
    ;
    Aminuddin N.H.
    ;
    Azalina Mohamed Nasir
    ;
    Hashim R.H.R.
    ;
    Jalil M.F.A.
    ;
    Pakir M.A.A.S.
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Rahman A.
    This study introduces application of deep eutectic solvent-assisted of nanocrystalline cellulose adsorbent for silver nitrate removal. The study aims to offer new green and low energy method in producing nano crystalline cellulose (NCC). NCC from microcrystalline cellulose (MCC) was extracted by using synthesized acidic DES. NCC fabricated was found to have a capability to act as a biosorbent for removal of silver nitrate (AgNO3). The adsorption kinetics and isotherm of silver nitrate on NCC were studied by varies initial concentration of silver nitrate and contact time. The experimental data were analyzed by using Langmuir and Freundlich models of adsorption. The adsorption isotherm data were fitted well to Freundlich adsorption isotherm. The biosorption kinetics data obtained at different time have been analyzed using pseudo-first order and pseudo-second order equation. The experimental data fitted well to pseudo-second order kinetics model. Application of novel and green acidic DES for production of NCC from lignocellulose will contribute to a new paradigm in a green adsorption study.
  • Publication
    Design and analysis on sorting blade for automated size-based sorting device
    ( 2017-09-26)
    Zol Bahri Razali
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Yasser Suhaimi Samsudin
    ;
    Mohd Hisam Daud
    Nowadays rubbish separating or recycling is a main problem of nation, where peoples dumped their rubbish into dumpsite without caring the value of the rubbish if it can be recycled and reused. Thus the author proposed an automated segregating device, purposely to teach people to separate their rubbish and value the rubbish that can be reused. The automated size-based mechanical segregating device provides significant improvements in terms of efficiency and consistency in this segregating process. This device is designed to make recycling easier, user friendly, in the hope that more people will take responsibility if it is less of an expense of time and effort. This paper discussed about redesign a blade for the sorting device which is to develop an efficient automated mechanical sorting device for the similar material but in different size. The machine is able to identify the size of waste and it depends to the coil inside the container to separate it out. The detail design and methodology is described in detail in this paper.
  • 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
      4  3
  • 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.
      7  6