Authors: Eddy Soeryanto Soegoto, Brandon Nathanael Meliala, Senny Luckyardi, Bobi Kurniawan
Abstract
This study explored the role of computer science in advancing sustainable infrastructure in Indonesia, aligning with the United Nations Sustainable Development Goals (SDGs). As the country grapples with rapid urbanization, environmental challenges, and disaster resilience, emerging technologies such as Artificial Intelligence (AI), big data, the Internet of Things (IoT), and blockchain present innovative solutions. This research examined the studies using the Systematic Literature Review (SLR) from the past five years that focus on the application of computer science in sustainable infrastructure development in Indonesia. The study highlights contributions that align with the UN SDGs through a structured process of identifying, evaluating, and synthesizing relevant findings. Key findings reveal the potential of AI-powered smart grids, IoT-based environmental monitoring, and predictive analytics for disaster management. However, challenges such as infrastructure disparities, cybersecurity risks, and regulatory gaps remain significant barriers to adoption. The study emphasizes the need for more significant investment, stronger policies, and cross-sector collaboration to accelerate technology integration. By merging computer science with sustainability strategies, Indonesia can enhance infrastructure resilience, drive economic growth, and strengthen environmental protection. This research provides policy recommendations and insights for future studies, advocating a technology-driven approach to sustainable development. © School of Engineering, Taylor’s University.
Author keywords
Artificial intelligence (AI); Computer research; Digital infrastructure; Internet of things; Sustainable development goals
This article can be accessed at https://www.scopus.com/pages/publications/105001481965
