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Muhammad Faisal Hamidi @ Abdul Rani
Preferred name
Muhammad Faisal Hamidi @ Abdul Rani
Official Name
Muhammad Faisal , Hamidi @ Abdul Rani
Alternative Name
Rani, M. F.H.
Main Affiliation
Scopus Author ID
57195985189
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1 - 5 of 5
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PublicationCiri-ciri usahawan pelajar di Institusi Pengajian Tinggi Awam Malaysia: program kejuruteraan di UniMAP(Universiti Malaysia Perlis (UniMAP), 2010-11-12)
;Institusi pengajian tinggi di Malaysia merupakan pusat latihan dan bimbingan yang terbaik dalam melahirkan usahawan yang berjaya dan mempunyai tahap ketahanan yang tinggi dalam pasaran. Kebolehan pelajar menjadi usahawan semasa mereka belajar di universiti sangat berkait rapat dengan kemampuan mereka berdikari selepas mereka keluar dari alam universiti. Kertas ini menerangkan beberapa ciri usahawan pelajar yang boleh dijadikan panduan kepada pihak universiti untuk membangunkan dan mengenal pasti pelajar-pelajar yang mempunyai potensi sebagai usahawan dan seterusnya memberikan sokongan dan bantuan yang diperlukan bagi mengembangkan bakat yang mereka miliki. Pengenalan ciriciri usahawan pelajar ini juga akan menjadi panduan kepada pelajar mengembangkan bakat mereka dan kepada pendidik dan pentadbir universiti untuk membangunkan kurikolum dan kemudahan yang sewajarnya. -
PublicationIdentifying Batik buying behaviour among generation Z in Malaysia towards the marketing strategy development for Batik entrepreneurs( 2024-06)
;Wongsumali Saiprawat ; ; ;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.66 11 -
PublicationDrill Bit Design and Its Effect on Temperature Distribution and Osteonecrosis During Implant Site Preparation: An Experimental Approach( 2023-01-01)
;Islam M.A. ; ; ; ;Ibrahim iiIn 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.1 24 -
PublicationTemperature Distribution Analysis of Lithium-Ion Polymer Battery Surface( 2022-01-01)
;Murali Rishan ; ; ;Suffer K.H. ;Ibrahim Z. ; ;The main objective of this study is to investigate the heat load generated by the Lithium-ion (Li-ion) battery during the completion of the cycle. Besides that, the objective is also to identify the most affected surface of the Li-ion battery towards the temperature during the charging and discharging process. An experiment is carried out for five different conditions of battery to obtain the data for heat load calculation purposes. The five conditions are differences in discharge ampere. From the result obtained there are differences in heat load generated by the battery during the charging and discharging process for every condition. Furthermore, the greater the discharge ampere, the lower the time taken for the battery to discharge and the higher the heat load generated by the battery. Besides that, an experiment to investigate the temperature distribution along the experiment is also carried out. Four surfaces of battery (front, right, left, back in vertical position of battery) are put into concern in obtaining the temperature distribution. Every surface gives a different temperature distribution during the experiment. Surface 4 recorded the highest average temperature distribution. Thus, the cooling system will consider the cooling capacity at this surface.1 33 -
PublicationCharacterizing 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. ; ;Setumin S.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.1 21