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All Journal Jurnal Pendidikan dan Pemberdayaan Masyarakat Indonesian Journal Education
Tasya Meita
Universitas Siliwangi
Education Mathematics Other

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The Use of Partial Least Square for Analysis of the Relationship of Family Support on Learning Outcomes and Achievements Through Learning Motivation Septian Cahya Azhari; Ely Satiyasih Rosali; Muhammad Adlan Faishal; Nita Nurmala Dewi; Lutfiah -; Riska Setiawatil Huda; Nina Asih Rahayu; Tasya Meita
JPPM (Jurnal Pendidikan dan Pemberdayaan Masyarakat) Vol 9, No 1 (2022): March 2022
Publisher : Departement of Nonformal Education, Graduate Scholl of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jppm.v9i1.49008

Abstract

Abstract:  This study aims to analyze the relationship of family support to learning outcomes and learning achievement through learning motivation so that parents can increase their support for children in the effort to increase their learning motivation. This study uses a quantitative approach with partial least squares (SEM-PLS) analysis. The results showed that the score of the original sample of family support to learning motivation was 0.655, the score of learning motivation to learning outcomes was 0.605, and the score of learning motivation to learning achievement was 0.487. Thus, there is a positive relationship between family support and learning motivation, learning motivation and learning outcomes, and learning motivation and learning achievement. Therefore, to improve learning outcomes, learning achievement and learning motivation of children, parents must provide optimal support in the learning process to improve children's learning motivation.
Development of Literature Academic Anxiety From 2002-2021: A Bibliometric Analysis Approach Septian Cahya Azhari; Ceceng Saepulmilah; Tasya Meita
Indonesian Journal Education Vol. 1 No. 1 (2022): Indonesian Journal Education (IJE)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (782.068 KB) | DOI: 10.56495/ije.v1i1.171

Abstract

Bibliometric analysis is a statistical tool that is useful for visualizing developments in the field of science to be used as a tool in finding research gaps. This study aims to create a visualization map on the topic of academic anxiety research which includes the development of keywords and popular authors. The database in this study was obtained from dimensions.ai and took data from 2002 to 2021 which was then divided into two ten-year periods. The results of the bibliometric analysis from 2002-2011 contained 6 clusters and 66 keyword items and citation authors with 26 clusters and 59 items. Meanwhile, the results of the bibliometric analysis of the database from 2012-2021 contained 66 items and 8 clusters for popular keywords, while 21 items and 11 clusters for citation authors.
Co-Authors Ceceng Saepulmilah Ely Satiyasih Rosali Lutfiah - Muhammad Adlan Faishal Nina Asih Rahayu Nita Nurmala Dewi Riska Setiawatil Huda Septian Cahya Azhari