Application of Table 100 Media in Addition and Subtraction Learning to Improve Math Learning Outcomes

This research uses a type of quantitative research with a quasi-experimental approach by using the 100 table media to improve math learning outcomes. This study used 100 learning table media to improve math learning outcomes. The quantitative approach used in this research is a type of quasi experiment. This study uses the table 100 media as the independent variable and student learning outcomes as the dependent variable. In this study, 20 students were used as samples. Observation, interview, test, survey, and documentation are the methods used to collect data. The steps of proposing hypotheses and testing normality are the data analysis procedures. The paired sample t test (t-test) resulted in Sig. (2-tailed) 0.02 in the experimental class, in accordance with the results of hypothesis testing. In contrast, the control class had a Sig. (2-tailed) of 0.01. The findings of the 2-tailed sig value can be compared with hypothesis testing if the sig (2-tailed) value is between 0.01 and 0.02. With the assumption that the 2-tailed sig value is greater than 0.05, the hypothesis is not rejected if it is less than 0.05. This shows that the math learning outcomes of grade II students of MI Ma'arif NU 6 Karyamukti are influenced by the table 100 media. The normality test shows that the Experiment class has a significance value of 0.018 and 0.088 before and after the test, while the Control class has a significance value of 0.200 and 0.135. If the p-value is less than 0.05, it can be concluded that the data follows a normal distribution.

Authors

Institutions

Publication Details

Journal
Journal of Childhood Development
Published
2024-09-02
DOI
https://doi.org/10.25217/jcd.v4i2.4528
Primary Topic
Mathematics Education and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Table 100 Media in Addition and Subtraction Learning to Improve Math Learning Outcomes

Muh Ngali Zainal Makmun, Nurul Aisyah, Inayatus Sangadah
Journal of Childhood Development
Mathematics Education and Pedagogy
article

Application of Table 100 Media in Addition and Subtraction Learning to Improve Math Learning Outcomes

Muh Ngali Zainal Makmun, Nurul Aisyah, Inayatus Sangadah
article en

Abstract

This research uses a type of quantitative research with a quasi-experimental approach by using the 100 table media to improve math learning outcomes. This study used 100 learning table media to improve math learning outcomes. The quantitative approach used in this research is a type of quasi experiment. This study uses the table 100 media as the independent variable and student learning outcomes as the dependent variable. In this study, 20 students were used as samples. Observation, interview, test, survey, and documentation are the methods used to collect data. The steps of proposing hypotheses and testing normality are the data analysis procedures. The paired sample t test (t-test) resulted in Sig. (2-tailed) 0.02 in the experimental class, in accordance with the results of hypothesis testing. In contrast, the control class had a Sig. (2-tailed) of 0.01. The findings of the 2-tailed sig value can be compared with hypothesis testing if the sig (2-tailed) value is between 0.01 and 0.02. With the assumption that the 2-tailed sig value is greater than 0.05, the hypothesis is not rejected if it is less than 0.05. This shows that the math learning outcomes of grade II students of MI Ma'arif NU 6 Karyamukti are influenced by the table 100 media. The normality test shows that the Experiment class has a significance value of 0.018 and 0.088 before and after the test, while the Control class has a significance value of 0.200 and 0.135. If the p-value is less than 0.05, it can be concluded that the data follows a normal distribution.

Journal of Childhood DevelopmentVol. 4(2)
Lampung University (ID)
Openalex Percentile: Top 55%
Mathematics Education and Pedagogy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.