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Recent Submissions

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    Textile and Garment Sector Financial Distress and Its Prediction: A Systematic Indonesia Literature Review
    (ENRICHED PUBLICATIONS PVT. LTD, 2025-01) Muhani1; Syamsu Alam; Muhammad Yunus Amar; Madris; Kadek Wiweka; Shahid Husain; Hamad Alhumoudi; Abdullah A. Alakkas; Salah Mohamed Eladly; Gopalan Puthukulam; Anitha Ravikumar; Magdalene Enruchi Williams
    This research study analyzes the influence of the adoption of International financial reporting standards (IFRS) on foreign direct investments (FDI) inflows and economic growth in Nigeria. Institutional quality indicators are incorporated into the study to assess their mediating impact on the relationship between the independent and dependent variables. FDI inflows and economic growth are used as dependent variables in the study
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    Soft S-Paracompact Space
    (J. Indones. Math. Soc, 2025-09) Vishwanath Kumasi; Baiju Thankachan
    This paper introduces a new topological class called soft S-paracompact spaces. These spaces generalize the concept of soft paracompact spaces. A soft topological space is considered soft S-paracompact if every soft open cover has a locally finite soft semi-open refinement. We explore the key properties of soft Sparacompact spaces and investigate their relationships with other well-established soft topological spaces. We depict an application of soft S-paracompactness in the decision-making problem
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    Semiparametric Bivariate Probit Model Early Breastfeeding Initiation and Exclusive Breastfeeding
    (J. Indones. Math. Soc, 2025-09) Suci Amalia; Vita Ratnasari; Ismaini Zain
    Regression analysis in which the response variable is categorical can be processed using the probit model. The probit model is based on the normal distribution, in addition to its interpretation based on marginal effect values. A probit model consisting of two response variables is called the bivariate probit model, in which the response variables each consist of two categories. The predictor variables in bivariate probit model can be either categorical and also continuous data. Bivariate probit model both response variables have a relationship. One of the developments of the bivariate probit model is the semiparametric bivariate probit model, where the bivariate probit model in which there is a parametric and a nonparametric model in this case in the form of a continuous covariate smooth function. Semiparametric bivariate probit model have the advantage of being able to address the problem of nonlinearity of undetected continuous predictor variables that can cause modeling inaccuracies that can effect the results of estimation accuracy. Parameter estimation of semiparametric bivariate probit model uses the Penalized Maximum Likelihood Estimation approach, but the equation obtained is not closed form so iteration are needed to solve it. The iteration used is Fisher Scoring. The semiparametric bivariate probit model was applied to data on early breastfeeding initiation and exclusive breastfeeding in East Java Province in 2021 with variables that affect early breastfeeding initiation being birth attendants while those affecting exclusive breastfeeding are maternal age and maternal education level.
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    Secondary Flow for Slow Rotation of a Pervious Sphere with Source at its Centre in a Viscous Fluid
    (J. Indones. Math. Soc, 2025-09) Mukesh Awasthi; Naveen Mani; Amit Sharma; Rahul Shukla
    In this paper, the problem of secondary motion of fluid in region between two concentric spheres are studied. Navier Stokes equations are employed to obtain the flow field, and the components of velocity for primary and secondary flow, stream function are obtained. Further, two particular cases are deduced and discussed for the radius of cavity. Finally, Equi-pressure lines, streamlines, and vortex lines are constructed to visually demonstrate the impact of different factors on the flow pattern.
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    Representation Matrices of Coprime Graph of Generalized Quaternion Group
    (J. Indones. Math. Soc, 2025-09) Siti Zahidah; Ahmad Nadimas Zulfikar; Nenik Estuningsih; Ahmad Erfanian
    This study discusses the representation matrices of the coprime graph of the generalized quaternion group. The representation matrices are adjacency matrix, anti adjacency matrix, Laplacian matrix, and signless Laplacian matrix. Furthermore, the eigenvalues of each representation matrix are determined. As a result, we obtained the construction of the four representation matrices and their eigenvalues. The matrix determinant is zero based on the matrix form, so the matrices have zero eigenvalues except for the signless Laplacian matrix. As for the non-zero eigenvalues, the values depend on the type of representation matrices, the order of the graph, and its algebraic multiplicity.