The comparison of Chat GPT, Perplexity AI, and Scopus database to capture Indonesian higher education quality in achieving SDGs 2030

• Published in: E3S web of conferences Vol. 513; p. 4001
• Main Authors: Utami, Putri Lintang, Suprapto, Nadi, Hidaayatullaah, Hasan N., Cheng, Tsung-Hui
• Format: Journal Article
• Language: English
• Published: EDP Sciences 01.01.2024
• ISSN: 2267-1242; 2267-1242
• DOI: 10.1051/e3sconf/202451304001

Indonesia’s higher education sector significantly contributes to achieving the Sustainable Development Goals (SDGs), particularly in the context of quality education. The research aims to (1) analyse the challenges of Indonesian higher education in achieving SDGs 2030 based on data and facts, (2) analyse Indonesian higher education’s challenges in achieving SDGs 2030 by making a plan or design, (3) analyse the impact of implementing the design in Indonesian higher education achieving SDGs 2030. Literature reviews using AI tools such as Chat GPT and Perplexity AI are rarely used, especially in discovering remedies to enhance the quality of education in higher education institutions in Indonesia. There has yet to be further research comparing AI tools and the Scopus database to find literature on specific SDG topics. Research shows several challenges in Indonesian higher education in achieving SDGs 2030, with the most discussed being access and equity, quality of education, universities programs, and infrastructure.