BIBLIOMETRIC COMPUTATIONAL MAPPING ANALYSIS OF PUBLICATIONS ON AUGMENTED REALITY BASED GREEN MINERAL MINING MODULE USING VOSVIEWER Meta Indah Agnestia, Ahmad Mudzakir
Universitas Pendidikan Indonesia
Abstract
The concepts of green mining need to be taught to students, namely through learning modules that use Augmented Reality in order increase students^ interest and motivate to study them. Bibliometric analysis is one of the analytical techniques that can be used to determine the progress of the research area in the field of Augmented Reality and green mining modules for minerals. Bibliometric analysis was performed on search results for numerous journals and other scientific publications on Google Scholar with the Publish or Perish application using VOSviewer. There were 234 items that matched the search parameters, divided into eight (8) clusters, according to the search results. Between 2018 and 2023, research developments typically decrease, while they appear to have started to increase in 2023. The network visualization results clearly reveal the keywords mineral and augmented reality in big size, because augmented reality items have the highest occurrence and total link strength, 280 and 1353, respectively, they have the greatest dark blue circle area and are in cluster 3. Mineral items have an occurrence and total link strength of 252 and 975, respectively, hence they have a red area and are in cluster 1. The overlay visualization findings display that module items have a high score and seem brilliant in color (yellow), whereas the density visualization results show that augmented reality items and minerals have the highest density, which also appears in yellow.
Keywords: Bibliometric, VOSviewer, Augmented Reality, Green Mining, Minerals,Module
