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All Journal Unisda Journal of Mathematics and Computer Science (UJMC)
Ratna Yuniarti
Institut Teknologi Sosial dan Kesehatan Muhammadiyah Selong
Computer Science & IT Education Mathematics

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Pengaruh Distribusi Data Terhadap Hasil Uji Korelasi Studi Pada Uji Pearson Product Moment, Rank Spearman, dan Rank Kendall Tau Ratna Yuniarti; Hartiani Hartiani; Harizahayu Harizahayu
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.9439

Abstract

Correlation analysis is used if you want to know whether there is a correlation between two phenomena. To determine the type of correlation to be used, researchers need to consider whether or not the assumption of normality and data characteristics are met. The purpose of this study was to compare the results of the analysis using several correlation tests with both parametric and non-parametric approaches. The method used is to provide data simulation with three types of data characteristics, namely normal, skewed and data containing outliers. The test used is the correlation in the parametric approach with the Pearson Product Moment Test, while for the non-parametric approach is the Spearman Rank and Kendall Tau Rank tests. Furthermore, a case study is given. The results show that in correlation testing without considering data distribution and data characteristics. Can produce inaccurate conclusions.
Pemodelan Keputusan Graduasi Mandiri Keluarga Penerima Manfaat Program Keluarga Harapan Ratna Yuniarti; Harmaeniza Harmaeniza
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 2 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i2.11257

Abstract

Modeling the Independent Graduation Decision of Conditional Cash Transfer ( CCT) Beneficiary Families aims to explain the relationship between several independent variables and the dependent variable. This model is a multiple linear regression equation. In this study, we model the factors influencing the graduation decision of Conditional Cash Transfer (CCT ) beneficiaries in Pesanggrahan Village, Montong Gading District. The research method used in this study is quantitative, with data collection using a questionnaire. The results of this study indicate that internal factors include self-awareness (79.5%) and entrepreneurship (81.8%), and external factors include the influence of P2K2 activities (82.5%) and family support (79.6%). Based on the results, 86.1% of the variation in the Graduation Decision variable can be explained by variations in the four independent variables (Self-Awareness, Entrepreneurship, P2K2 Activities, and Family Support). The remaining 13.9% is explained by factors outside the research model. In this study, P2K2 activities are the most dominant factor influencing graduation decisions
Co-Authors Harizahayu, Harizahayu Harmaeniza Harmaeniza Hartiani Hartiani