A Scientometric Analysis of electric vehicle-based text mining

Penulis: Angella Natalia Ghea PuspitaIsti SurjandariBunga Kharissa Laras Kemala
Informasi
JurnalProcedia Computer Science
PenerbitElsevier, Elsevier B.V.
Volume & EdisiVol. 234
Halaman114-122
Tahun Publikasi2024
ISSN18770509
Jenis SumberGoogle Scholar
Sitasi
Scopus: 5
Google Scholar: 9
PubMed: 5
Abstrak
The United Nations Climate Change Conference (COP 21) held in Paris on December 12, 2015, agreed on the Paris Agreement, which aims to address climate change and its negative impacts as part of the challenge of Global Warming. The transportation sector contributed 23% of CO2 emissions of a global contributor in 2018. Electric vehicles themselves have benefited from an environmental and economic perspective. The development of electric vehicles in Indonesia has increased the number of electric vehicle users as well as research related to customer awareness, opinions, preferences, and satisfaction, identification of markets and potential for technology and innovation, predictions, new policies, literature reviews and topics, keywords and fields related to electric vehicle. From the results of this study, it is expected to be able to find out customer characteristics, customer concerns, market penetration …
Dokumen & Tautan

© 2025 Universitas Indonesia. Seluruh hak cipta dilindungi.