The Internet of Things (IoT) has emerged as a
critical issue and area of research for a variety of communities, academics, and industries worldwide. Due to the lack of research in IoT and understanding the direction of IoT development in the future. This research presents bibliometric analysis and analysis of science mapping on IoT. Data was taken from the Scopus database based on Indonesian state affiliation from 2012 - 2020. A total of 1415 documents (Conference proceedings, journals, book series, and books)
were retrieved, which were then processed online via Scopus
Web and by VOSviewer software to perform advanced
bibliometric analysis and science mapping analysis. The
method is divided into five stages: keyword selection, initial
search results, search result refinement, initial compilation,
and data analysis. Scopus's list of the most frequently
published and indexed articles, the most published papers are
in the subject area of Computer Science (29.0%) with 938
documents, Engineering (20.7%) with 668 documents, Physics
and Astronomy (9.5%) with 308 documents. The data
processed and visualized on this topic offer exploratory
information about the current status and trends in the IoT
scientific literature and provide insight for established and
novice researchers in understanding this research topic
