Shakila Saad
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Shakila Saad
Official Name
Shakila, Saad
Alternative Name
Saad, Shakila
Saad, S.
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Scopus Author ID
56213592000
Researcher ID
DNY-3727-2022

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  • Publication
    Visualization of monotonic shaped data by a rational cubic Ball
    (Universiti Malaysia Perlis, 2025-02-17)
    Wan Nurhadani Wan Jaafar
    ;
    Siti Jasmida Jamil
    ;
    Shakila Saad
    ;
    Nooraihan Abdullah
    This paper discusses the monotonicity-preserving curve interpolation of 2D monotone data. A piecewise rational cubic Ball function in form of (cubic numerator /cubic denominator), with four shape parameters is presented. The rational cubic Ball spline has four shape parameters in its descriptions where two of them are constrained shape parameters and remaining two of them provide the freedom to user to easily control the shape of the curve by simply changing their values. The sufficient data dependent conditions are derived for two shape parameters to insure the monotonicity everywhere. Numerical results show that the Ball interpolation scheme is quite efficient and well tested for monotone data.
  • Publication
    Developing a Credit Scoring of the SMEs Manufacturing based on Multi Criteria Decision Making (MCDM) Algorithm
    (Universiti Malaysia Perlis, 2025-02-17)
    Shakila Saad
    ;
    Wan Nurhadani Wan Jaafar
    ;
    Siti Jasmida Jamil
    ;
    Nooraihan Abdullah
    Credit risk is a very important risk to banks since failure of borrowers to make required payment will lead to high non-performing loans. Hence, it is necessary for banks to develop a mechanism to gauge the credit risk of its borrowers. One of the methods is credit scoring. Small and Medium Enterprises (SMEs) are the backbone of the Malaysian economy comprising 98.5% of the total business established in Malaysia. Despite their importance, access to finance is relatively limited. According to banks, lending money to SMEs are risky compared to large companies due to few factors such as less of publicly available information, young and lack of collateral. Hence, this study tried to predict the credit risk of SMEs in Malaysia by developing a credit scoring that combined financial and non-financial criteria. This study proposes a credit scoring method based on MCDM algorithm that will be able to forecast the score of the potential borrowers at a certain time by using the historic information. Result obtained is verified via the comparison with the given credit risk level provided by banks and by measuring the correlation. The correlation value is 0.88640526 indicates the high positive linear relationship.
      4  8
  • Publication
    Visualization of monotonic shaped data by a rational cubic Ball
    (Universiti Malaysia Perlis, 2025-02-17)
    Wan Nurhadani Wan Jaafar
    ;
    Siti Jasmida Jamil
    ;
    Shakila Saad
    ;
    Nooraihan Abdullah
    This paper discusses the monotonicity-preserving curve interpolation of 2D monotone data. A piecewise rational cubic Ball function in form of (cubic numerator /cubic denominator), with four shape parameters is presented. The rational cubic Ball spline has four shape parameters in its descriptions where two of them are constrained shape parameters and remaining two of them provide the freedom to user to easily control the shape of the curve by simply changing their values. The sufficient data dependent conditions are derived for two shape parameters to insure the monotonicity everywhere. Numerical results show that the Ball interpolation scheme is quite efficient and well tested for monotone data.
      7  1