Muhammad Faisal Hamidi @ Abdul Rani
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Muhammad Faisal Hamidi @ Abdul Rani
Official Name
Muhammad Faisal , Hamidi @ Abdul Rani
Alternative Name
Rani, M. F.H.
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Scopus Author ID
57195985189

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  • Publication
    Identifying Batik buying behaviour among generation Z in Malaysia towards the marketing strategy development for Batik entrepreneurs
    ( 2024-06)
    Wongsumali Saiprawat
    ;
    Julinawati Suanda
    ;
    Hafizah Abdul Rahim
    ;
    Atikah Nor Johari
    ;
    Muhammad Faisal Hamidi @ Abdul Rani
    Batik is considered historical traditional wear for Malaysian. The evolution of batik could be seen from the motives, colours and material. The objective of this study is to identify the relationship between several variables of batik buying behaviour among the young adults in Malaysia towards the marketing strategy development. The study aimed to identify the factors that influence Generation Z's buying behaviour towards batik products by using the Theory of Planned Behaviour (TPB). In this study, convenience sampling has been used to identify the buying behaviour of university students aged 19-27 years old. The data gained from the surveys is analysed using Statistical Package for Social Sciences (SPSS) version 28. The results of the multiple regression analysis indicate that the combination of the independent variables such as subjective norms, consumer knowledge, perceived behavioural control and product characteristics, significantly predicts the marketing strategy development. The findings of the study are expected to assist the batik entrepreneurs from Small and Medium-Sized Enterprises (SMEs) in determining the suitable marketing strategy in the context of batik industry with the Generation Z as their target market and the need for batik businesses to focus on product quality and affordability, as well as innovative marketing strategies to attract young consumers to the batik market.
  • 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.
  • Publication
    Drill Bit Design and Its Effect on Temperature Distribution and Osteonecrosis During Implant Site Preparation: An Experimental Approach
    ( 2023-01-01)
    Islam M.A.
    ;
    Nur Saifullah Kamarrudin
    ;
    Ruslizam Daud
    ;
    Zuradzman Mohamad Razlan
    ;
    Muhammad Faisal Hamidi @ Abdul Rani
    ;
    Ibrahim ii
    In this study, the drilling parameters will be evaluated to obtain optimal parameters in minimizing the impact of drilling damage on synthetic bone blocks. The effect of damage observed in the study is osteonecrosis that occurs in the drill hole for implant site preparation, where a smaller value is desired. The drilling parameters are optimized using the Taguchi method with two control factors: the feed rate and spindle speed; each parameter is designed in five levels. This experiment was then carried out on four different designs of drill bits, i.e., Twist (118°and 135°), spherical, and conical drill bits. While experimental planning uses L25 orthogonal arrays, the "smaller is better" approach is used as a standard analysis. The main findings of this research are 118° point angle twist drill bit is the ideal type of drill bit for bone drilling, as it produces less heat than other types of drill bits. The optimal range of feed rate and drilling speed for bone drilling is 40-60 mm/rev and 1000-1400 RPM, respectively. Combining these parameters helps to minimize heat generation during implant site preparation drilling.