The Role of Artificial Intelligence in Image Recognition to Support Green Campus in Telkom University Adrian Permana Zen (a*), Avianto Nugroho (b), Isroni Muhammad Miraz (c), Cucu Retno Yuningsih (d), Dyah Ayu Wiwid Sintowoko (e)
a) Faculty of Creative Industries, Department of Visual Arts, Telkom University
Telkom University, Jl. Telekomunikasi No. 1, Terusan Buahbatu - Bojongsoang, Sukapura, Kec. Dayeuhkolot, Bandung, Jawa Barat 40257
*adrianzen[at]telkomuniversity.ac.id
b) IDP Education Ltd.
*avianto.nugroho[at]idp.com
c) Faculty of Business and Management, Widyatama University.
*isroni.muhammad[at]widyatama.ac.id
d) Faculty of Creative Industries, Department of Visual Arts, Telkom University
Telkom University, Jl. Telekomunikasi No. 1, Terusan Buahbatu - Bojongsoang, Sukapura, Kec. Dayeuhkolot, Bandung, Jawa Barat 40257
*curetno[at]telkomuniversity.ac.id
e) Faculty of Creative Industries, Department of Visual Arts, Telkom University
Telkom University, Jl. Telekomunikasi No. 1, Terusan Buahbatu - Bojongsoang, Sukapura, Kec. Dayeuhkolot, Bandung, Jawa Barat 40257
*dyahws[at]telkomuniversity.ac.id
Abstract
The COVID-19 Pandemic has brought change in all social aspects, particularly in education. COVID-19 has enabled society to learn and use Artificial Intelligence (AI) technology much further and bringing in an era of technologies that are dynamic, adaptive, productive, and making the world more digitally connected. AI could enable the existing technology to be applicable in daily lives by using image recognition which is already being developed. As the field of AI develops, so will the potential to protect the environment. From the land and air to both drinking and ocean water, AI is shaping up to be the key that governments, organizations, and individuals can tap to work toward a cleaner planet. Telkom University, as one of the campus that support Green Campus will be the study case to be reviewed. The review focuses in the role of AI in achieving the sustainable environment of Green Campus through Image Recognition to detect another part which is not perceived to be healthy/green in terms of environment.
Keywords: Artificial Inteligence, Green Campus, Sustainable Envinronment, Technology
Topic: Symposium on Energy and Environmental Science and Engineering
