Samsuriadi
Universitas Nahdlatul Wathan Mataram

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Parents and viewpoints: online learning during the Covid-19 pandemic Muhamad Galang Isnawan; Essa Eqal Almazroei; Evana Gina Shantika; Indrawati; Muh. Rusmayadi; Samsuriadi
Polyhedron International Journal in Mathematics Education Vol. 1 No. 1 (2023): pijme
Publisher : Nashir Al-Kutub Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59965/pijme.v1i1.3

Abstract

Parents play an important role during online learning during the Covid-19 Pandemic. However, there are still not many studies that examine parents' perspectives regarding online learning. Therefore, this study aims to examine the perspective of parents regarding the problems experienced by students during online mathematics learning. Participants in this study were 47 parents of students whose ages ranged from 35 to 50 years. The instrument used was an interview guide in the form of a semi-structured interview. Data were analyzed using NVivo-12-assisted thematic analysis. The results of the study show that parents think students have problems in terms of low understanding of math material and children learning less than optimally while at home. However, some parents also revealed that there were no obstacles during online learning during the Pandemic. The results of this study then recommend that parents immediately provide information to the teacher when they find that children cannot solve problems and parents cannot help children in solving these math problems.
The effect of learning intensity on students’ statistics course scores: A multiple regression approach with Ridge regularization Muh. Rusmayadi; Samsuriadi; Lidaini Lidaini; Muhamad Galang Isnawan; Naif Mastoor Alsulami; Aditya Purnama
Polyhedron International Journal in Mathematics Education Vol. 4 No. 1 (2026): pijme
Publisher : Nashir Al-Kutub Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59965/pijme.v4i1.294

Abstract

Low achievement in statistics courses is a persistent concern in higher education, yet the contributions of study time and attendance remain underexplored, particularly in Indonesian undergraduate contexts and without correcting for predictor multicollinearity. This study addresses this gap by applying Ridge regularization to estimate the independent effects of daily study hours and attendance rate on statistics course scores among 20 Indonesian undergraduates. Classical OLS assumptions were tested; Ridge regression with Leave-One-Out Cross-Validation was applied when violations occurred. Study hours and attendance jointly explained 97.54% of score variance (R² = 0.975; F = 337.70; p < 0.001); however, severe multicollinearity (VIF = 11.77) destabilized OLS estimates. Ridge regression (λ = 1.0) produced stable coefficients (b₁ = 2.87; b₂ = 0.80) with negligible accuracy loss (R² = 0.974). The near-perfect collinearity of the predictors indicates that study hours and attendance are part of the same underlying construct academic engagement rather than acting through independent pathways. These findings challenge the conventional additive model of learning time and imply that interventions targeting self-regulated learning may be more effective than policies addressing attendance or study time in isolation.