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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.
Digital Transformation Drives Banking Financial Performance Evidence from Indonesia: Transformasi Digital Mendorong Kinerja Keuangan Perbankan di Indonesia Nova, Amellia; Darmayanti, Novi; Rosyida, Isnaini Anniswati
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.13999

Abstract

This study examines determinants of banking financial performance in the context of post-pandemic recovery and digital economy transition. General Background: The Indonesian banking sector experienced structural shifts during 2021–2024 due to digitalization, regulatory changes, and competitive pressures. Specific Background: Strategic Performance Measurement System (SPMS), Enterprise Risk Management Disclosure (ERMD), and digital transformation are considered key managerial and governance mechanisms influencing financial outcomes. Knowledge Gap: Prior studies largely analyze these variables separately, with limited integrated evidence and inconsistent findings, particularly in Indonesian banking during the post-pandemic period. Aims: This study aims to analyze the simultaneous and partial relationships of SPMS, ERMD, and digital transformation on financial performance, proxied by Return on Assets (ROA), with firm size as a control variable. Results: Using panel data regression with 180 observations from 45 banks, the findings reveal that SPMS and ERMD do not show significant relationships with financial performance, while digital transformation demonstrates a significant positive relationship. Simultaneously, all variables contribute significantly, although the explanatory power remains limited (Adjusted R² = 0.0921). Novelty: This study integrates strategic measurement, risk disclosure, and digital capability within a single analytical framework during the 2021–2024 transition period. Implications: The findings highlight digital capability as a dominant driver of banking profitability, suggesting that integrated digital transformation strategies are essential for sustaining competitiveness in the digital economy. Highlights• Digital capability shows the strongest statistical relationship with profitability indicators• Disclosure-based mechanisms display non-significant statistical relationships• Combined model explains financial variation despite limited explanatory power KeywordsDigital Transformation; Financial Performance; Banking Sector; Enterprise Risk Management Disclosure; Strategic Performance Measurement System
Central Bank Digital Currency Adoption Determinants in Developing Countries: Determinan Adopsi Central Bank Digital Currency di Negara Berkembang Auliya, Elena; Darmayanti, Novi; Rosyida, Isnaini Anniswati
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.14004

Abstract

General Background: The rapid digital transformation of financial systems has accelerated the development of Central Bank Digital Currency (CBDC) as a strategic instrument in modern monetary policy and payment systems. Specific Background: In developing countries such as Indonesia and Nigeria, CBDC adoption varies due to differences in implementation stages, financial ecosystems, and public readiness. Knowledge Gap: Previous studies predominantly focus on technological and macroeconomic determinants, with limited integration of financial literacy, monetary policy accountability, and trust in financial authorities within a unified cross-country model. Aims: This study aims to examine the role of financial literacy, monetary policy accountability, and trust in financial authorities in shaping CBDC adoption using a mixed method approach. Results: The findings reveal that financial literacy and trust exhibit negative and significant relationships with CBDC adoption, reflecting increased public critical awareness of risks, while monetary policy accountability shows a positive and significant relationship. Simultaneously, all variables significantly explain CBDC adoption with high explanatory power (Adjusted R² = 0.962083). Novelty: This study integrates cognitive, institutional, and psychological dimensions in a cross-country analysis, providing a multidimensional perspective on CBDC adoption in developing economies. Implications: The results suggest that CBDC implementation requires comprehensive and adaptive policies emphasizing public trust, transparency, and risk communication beyond technological readiness. Highlights• Financial literacy relates negatively to adoption due to heightened risk awareness• Monetary governance transparency strengthens acceptance of digital currency systems• Trust deficits remain a critical barrier in early-stage implementation contexts KeywordsCentral Bank Digital Currency; Financial Literacy; Monetary Policy Accountability; Trust In Financial Authorities; Developing Countries