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Penguatan Prestasi OSN Matematika SMP dan SMA melalui Kolaborasi Guru dan Siswa: Studi pada SMA Sumber Putih Kabupaten Malang Solimun, Solimun; Hapsari, Meilina Retno; Mudjiono, Mudjiono; Lusiana, Evellin Dewi; Hidayat, Kamelia; Sianipar, Celia; Zahra, Septi Nafisa Ulluya
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1332

Abstract

This community service program was designed to enhance the achievement of the National Science Olympiad in Mathematics through collaboration between teachers and students in Malang Regency. The background of this program lies in the limited availability of structured coaching, insufficient intensive mentoring by teachers, and the lack of competition simulations that hinder students’ academic readiness and mental resilience. The objective was to strengthen teacher competence and prepare students more effectively for the demands of Olympiad-level competitions. The program was implemented through seminars for teachers, intensive classes for students, collaborative discussion forums, competition simulations, and continuous evaluation using statistical-based monitoring. The results showed that teachers developed stronger skills in designing innovative and systematic coaching strategies, while students demonstrated improved readiness in facing challenging problems and competition pressure. The program also fostered a collaborative and participatory learning ecosystem that supports sustainable academic development. In conclusion, this initiative contributed to improving the quality of mathematics education in Malang Regency and provided a replicable model for Olympiad coaching in other schools and regions.
Sensitivity of Bayesian Truncated Spline Regression to Prior and Knot Configuration in Stunting Models Zahra, Septi Nafisa Ulluya; Fernandes, Adji Ahmad Rinaldo; Efendi, Achmad; Solimun, Solimun; Nasywa, Alfiyah Hanun; Junianto, Fachira Haneinanda
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.37381

Abstract

This study develops a Bayesian bi-response regression model using a truncated spline approach to examine nonlinear effects of economic, dietary, and environmental factors on nutritional and physical stunting. Sensitivity analysis was conducted to evaluate the influence of prior types and knot numbers on model performance using Deviance Information Criterion (DIC), Root Mean Square Error (RMSE), and bias. Results show that the informative Normal–Gamma prior combination yields the best performance, with the lowest DIC, smallest RMSE, and minimal bias. Models with three knots provide higher predictive accuracy, while noninformative Uniform priors cause instability and overfitting. Overall, the findings indicate that prior specification has a stronger effect on model robustness than the number of knots, emphasizing the importance of informative priors in Bayesian spline modeling for understanding complex, nonlinear determinants of child stunting.