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RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC Lestari, Karunia Eka; Agustina, Fitriani; Yudhanegara, Mokhammad Ridwan; Nugraha, Edwin Setiawan; Sylviani, Sisilia
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2517-2530

Abstract

The study highlighted three essential roles of retrospective analysis in hypothesis testing, particularly as a priori analysis, post hoc analysis, and sensitivity analysis. These approaches were applied to the Gini ratio data sourced from the National Socioeconomic Survey Indonesia 2023 to examine the income inequality level in Indonesia. The sample size, statistical power, and effect size for the one-sample t-test are evaluated by aid G*Power software. The test results show that for a sample size of 10, at the 95% confidence interval, there is not enough evidence to show that the Gini ratio in 2023 is smaller than 0.4. A retrospective analysis using G*power software reveals that for a sample size of 20 at the same confidence interval, there is enough evidence to suggest that the Gini ratio is statistically significant at less than 0.4 with a power of analysis of 90.8% and an effect size of 0.76. This study has important implications in hypothesis testing, especially in retrospective analysis, since understanding the effect of sample size and effect size makes it possible for academics or practitioners to optimize hypothesis testing and generate more accurate and reliable test results.
Efektivitas Pembelajaran Brain-Based Learning Terhadap Peningkatan Kemampuan Berpikir Logis Matematis Siswa Suwarto; Lestari, Karunia Eka
Polinomial : Jurnal Pendidikan Matematika Vol. 4 No. 4 (2025)
Publisher : Papanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jp.v4i4.2103

Abstract

This study aims to determine the effectiveness of brain-based learning on improving students' mathematical logical thinking abilities. The research uses a quantitative approach with a quasi-experimental method, specifically a non-equivalent control group design. The population in this study consists of all eighth-grade students at SMP Negeri 2 Karawang Timur. The sample includes two classes: Class VIII-G as the experimental group and Class VIII-J as the control group. The sampling technique used is cluster random sampling. Data collection was carried out using instruments in the form of pre-test and post-test. The instrument used in this study was a test designed to measure students' mathematical logical thinking abilities. There are two variables in this study: the use of the brain-based learning model as the independent variable and mathematical logical thinking ability as the dependent variable. The results of the study show that the post-test scores of the experimental class were higher than those of the control class, with N-Gain values of 0.50 and 0.45, respectively. The t-test for the difference in mean N-Gain scores showed a significance value (Sig. 2-tailed) < 0.05, namely 0.014, indicating that there was a significant difference in improvement between the control and experimental classes. Additionally, Cohen's d effect size (standardized mean difference) was 0.31, suggesting that the brain-based learning model had a moderately meaningful practical impact on improving students' mathematical logical thinking abilities. Thus, the brain-based learning model is proven to be effective both statistically and practically in enhancing students’ mathematical logical thinking skills.