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Journal : Indonesian Journal Education

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.
The Relationship Between Self-Regulated Learning on Learning Motivation and e-Learning Activities in Virtual Learning at SMAN 9 Tasikmalaya City Septian Cahya Azhari; Darwis Darmawan; Siti Fadjarajani
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 (303.302 KB) | DOI: 10.56495/ije.v1i1.199

Abstract

Virtual learning during the COVID-19 pandemic requires an investigation into the psychological development of students. This study aims to determine the relationship between self-regulated learning on student learning activities using e-learning. This research was conducted in May 2022 on class XI students at SMAN 9 Kota Tasikmalaya by taking a sample of 100 students to fill out a questionnaire. Structural equation modeling partial least square (SEM-PLS) was used to analyze the data in the study. The results showed that the value of the path coefficient of all variables was 0.000 so that there was a significant relationship between self-regulated learning (SLR), learning motivation and e-learning student activity. So to get optimal results during virtual learning, the formation of student SLR is one thing that needs to be focused.