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Meta Synthesis: Analysis of Mathematical Anxiety On Student’s Mathematical Communication Skills Jahfaludin, Abi; Mariani, Scolastika; Rosyida, Isnaini; Junaedi, Iwan; Cahyono, Adi Nur
JRPM (Jurnal Review Pembelajaran Matematika) Vol. 9 No. 2 (2024)
Publisher : Department of Mathematics Education, Faculty of Tarbiyah and Teacher Training, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/jrpm.2024.9.2.129-142

Abstract

The purpose of this research is to describe the effect of mathematics anxiety on students' mathematical communication skills. The research method used in this study is meta-synthesis, which is a qualitative systematic review that analyzes articles relevant to the research title. The steps taken are to formulate the research problem, followed by searching for research that has been done that is relevant to the same title, then analyzing the research results in depth. The data collection technique used is non-test by reviewing research that has similar problems to obtain results and conclusions. This study surveyed several national articles. Analysis of the articles resulted in the conclusion that mathematical anxiety has a negative impact on students' mathematical communication skills. Students who have high mathematical anxiety have low mathematical communication skills. While students with low mathematical anxiety have a high level of mathematical communication skills.
Meta Analysis: The Effect of Treffinger Learning Model on Students' Mathematical Creative Thinking Ability Wahyuningsih, Vebryana; Isnarto, Isnarto; Hendikawati, Putriaji; Mariani, Scolastika; Rosyida, Isnaini
SJME (Supremum Journal of Mathematics Education) Vol 9 No 1 (2025): Supremum Journal of Mahematics Education
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Singaperbangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sjme.v9i1.94

Abstract

This study aims to determine the effect of Treffinger learning model on students' mathematical creative thinking ability, based on previous research articles. The method used in this research is meta-analysis. The results of the analysis through the calculation of the t-test and effect size show that , indicating that the average mathematical creative thinking ability of students who use the Treffinger model is higher than the average students who follow conventional learning. Thus, there is a significant influence between the mathematical creative thinking ability of students using the Treffinger model, with an effect size of 1.02, which is classified in the large category.
Penentuan Spektrum pada Variasi Graf Barbel Putri, Neli Septiana; Rosyida, Isnaini
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 3 December 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i3.33968

Abstract

This study aims to analyze the determination of the spectrum of barbell graph variations, where the variations are made by modifying the number of nodes on the bridge between complete graphs in a barbell structure. The spectrum contains the eigenvalues of the adjacency matrix of the barbell graph variations along with their multiplicities. The analysis is conducted manually using linear algebra approaches such as cofactor expansion, characteristic polynomial factorization, the rational root theorem, and Horner’s scheme. The results are then validated using Python programming. The findings of this study show that the longer and more complex the bridge connecting the two complete graphs, the greater the diversity of eigenvalues produced. The spectrum of the barbell graph B(n,1)B(n, 1)B(n,1) consists of the eigenvalues λ1,n−1,λ2,−1,λ3\lambda_1, n - 1, \lambda_2, -1, \lambda_3λ1,n−1,λ2,−1,λ3 with multiplicities 1,1,1,2n−3,11, 1, 1, 2n - 3, 11,1,1,2n−3,1. Furthermore, the spectrum of the barbell graph B(n,2)B(n, 2)B(n,2) consists of the eigenvalues λ1,λ2,λ3,λ4,−1,λ5,λ6\lambda_1, \lambda_2, \lambda_3, \lambda_4, -1, \lambda_5, \lambda_6λ1,λ2,λ3,λ4,−1,λ5,λ6 with multiplicities 1,1,1,1,2n−4,11, 1, 1, 1, 2n - 4, 11,1,1,1,2n−4,1, respectively. This research provides theoretical contributions regarding the relationship between complex graph structures and their spectral representations.