GENERATING FUZZY INTERVAL DATA AND ITS APPLICATION TO FIND THE RELATION BETWEEN MATH ANXIETY WITH SELF EFFICACY USING CORRELATIONS ANALYSIS

SUSANTO, HARI PURNOMO and SUTARTI, TATIK and HAFIDAH, AGUSTINA SRI (2018) GENERATING FUZZY INTERVAL DATA AND ITS APPLICATION TO FIND THE RELATION BETWEEN MATH ANXIETY WITH SELF EFFICACY USING CORRELATIONS ANALYSIS. JOURNAL OF PHYSICS : CONFERENCE SERIES. pp. 1-7. ISSN 1742-6596

Text 6. hps-Pros 2019 Generating Fuzzy Interval Data and Its Application to Find The Relation Between Math-turnit.pdf Download (1MB)

Abstract

In this article, adding a dimension that has not yet been explored in published literature, we investigate the process of generating fuzzy interval data using a crisp data, applying the process to the students' anxiety and self-efficacy crisp data in learning mathematics, and determining the two variable correlations using Cheng and Yang fuzzy correlations. We take Fuzzy correlation developed by Cheng and Yang because of being easy to understand, and its development adopts the formula of Pearson correlation. The data used are fuzzy interval data and trapezoid fuzzy. ln this case, the crisp data taken using traditional questionnaires cannot be employed. The findings of this research reveal that (I) the crisp data fuzzification process to be interval fuzzy provides a new alternative in obtaining fuzzy interval data: (2) fuzzy correlations using fuzzification results provide the conception that the anxiety has a negative correlation at a moderate effect level. The correlation coefficient shows the same conclusions with Pearson correlation and fuzzy correlation using original fuzzy data obtained from data collection.

Item Type:	Article
Subjects:	Q Science > QA Mathematics
Divisions:	Pendidikan Matematika
Depositing User:	Dhita Indah Puspita Rini
Date Deposited:	17 Jul 2023 03:25
Last Modified:	17 Jul 2023 03:25
URI:	http://repository.stkippacitan.ac.id/id/eprint/1169

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