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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Harmoni Sosial: Jurnal Pendidikan IPS
Nur Chamidah
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Education Mathematics Social Sciences

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From pluralism to tolerance: The role of project-based social studies learning in Islamic schools Nur Chamidah; Ali Nasith; Alfiyana Yuli Efiyanti
Harmoni Sosial: Jurnal Pendidikan IPS Vol. 13 No. 1 (2026): March
Publisher : Program Pascasarjana Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/hsjpi.v13i1.96146

Abstract

This study uses a mixed method with a sequential exploratory model approach. The research population consisted of 120 students with a sample of 92 eighth-grade students at MTsN 1 Kediri City. Qualitative data were obtained from interviews, observations, and documentation. Meanwhile, quantitative data were obtained through the distribution of questionnaires using a Likert scale (Cronbach's Alpha > 0.97). The results showed that pluralism had been systematically integrated into teaching modules through heterogeneous group discussions and problem-based learning. This application was reinforced by the P5RA (Rahmatan Lil Alamin Student Profile Strengthening Project) school program, which is a character-building program for students in instilling Islamic values and understanding cross-cultural diversity.  Simple linear regression analysis produced a p-value of 0.000 < 0.05, indicating that the integration of pluralism values in Social Studies (IPS) learning has an effect on students' tolerance levels in Islamic-based educational institutions. Thus, the application of pluralism values in IPS learning, implemented through heterogeneous project-based learning and school programs in the form of cultural performances, has been proven to be effective in increasing student tolerance.
Local Polynomial Estimator in The Nonparametric Model of Inflation in Indonesia Abdul Aziz; Nur Chamidah; Toha Saifudin
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.27625

Abstract

Inflation is a general and continuous increase in prices of goods and services over a certain period.  Nonparametric regression analysis can be used to model inflation data that does not form a particular pattern. This study applies a local polynomial nonparametric method to model the rate of change rate in the inflation over a period considering two factors influencing inflation: the rate of change in the BI interest rate and the rate of change rate in the money supply from the previous period. The bivariate local polynomial method estimates the nonparametric regression function by considering the optimum Gaussian kernel bandwidth and polynomial order using the Taylor series expansion and WLS estimator. The optimal local polynomial nonparametric regression model was obtained based on a minimum GCV value of  0.015108 with two optimum Gaussian kernel bandwidth values of 0.1 and 0.03 in polynomial order of 1. The best model had a MAPE value of 3.45%, showing that all the prediction models were highly accurate. The benefits gained are additional information and consideration for determining monetary policy, especially inflation in Indonesia, by determining the BI interest rate and money supply.
Co-Authors Abdul Aziz Alfiyana Yuli Efiyanti Ali Nasith Toha Saifudin