Global Research Trend In Digital Learning: Analysis Using Bibliometrix On The Scopus Database

Abstract

The aims of this article are; a) To analyse the bibliometric keyword "digital learning" related to the research performance which consists of annual scientific production, most relevant source, most relevant author, most relevant affiliation, country scientific production and document. 2) To analyse the bibliometric keyword "digital learning" related to science mapping which consists of Trend Topic, Co-Accurance Network, Thematic Map, Three-Field Plot, Collaboration Network and Collaboration World Map. This study explores the scientific literature, analysing the performance and trends of digital learning topics using bibliometric. The five stages carried out in this study are keyword determination, data search, article selection, data validation, and data analysis. The researcher then performs this keyword on Scopus database (Scopus.com). The results of the analysis showed that there were 1711 articles collected. Researcher uses R Program to perform the bibliometric analysis.