Summary of "WEBINAR NASIONAL: Green Software di Era AI dan IoT: Menuju Transformasi Digital Ramah Lingkungan"
Summary of the Webinar: "Green Software di Era AI dan IoT: Menuju Transformasi Digital Ramah Lingkungan"
Overview
The national webinar, held on September 29, 2025, was organized by the Informatics Engineering Undergraduate Study Program at Universitas Sains dan Teknik Komputer Inovasi Semarang (Tekom University) in collaboration with several Indonesian universities and associations. The theme focused on Green Software in the era of AI and IoT, aiming to promote environmentally friendly digital transformation.
The event featured 10 expert speakers from academia and industry, each presenting for 10 minutes on topics related to Green Software, AI, IoT, Blockchain, big data, and sustainable digital practices. The webinar also included Q&A sessions via Zoom and YouTube chat.
Key Technological Concepts and Product Features
- Green Software and Environmental Impact
- Green Software emphasizes energy efficiency, resource optimization, and sustainability throughout software design, development, and deployment.
- It aims to minimize carbon emissions and energy consumption in digital infrastructure, including data centers, networks, and user devices.
- The software lifecycle must consider carbon efficiency, energy efficiency, hardware efficiency, and carbon awareness.
- Integration of AI, IoT, and Blockchain for Green Governance
- Combining IoT sensors, Blockchain, and AI can create reliable, tamper-proof green data for environmental monitoring and governance.
- Blockchain ensures data immutability and transparency, preventing manipulation of environmental data collected via IoT.
- AI enables data analysis, prediction, and decision-making to optimize energy usage and incentivize green practices.
- This integrated approach supports government policy enforcement, incentives, and penalties based on verified environmental data.
- AI and IoT Challenges and Opportunities
- AI models, especially large-scale ones, consume significant energy during training and inference, contributing to the digital carbon footprint.
- Optimization techniques such as model compression, pruning, quantization, and edge computing help reduce AI energy consumption.
- IoT devices, while enabling real-time environmental monitoring and smart automation (e.g., smart homes, smart cities, precision farming), also increase energy demand.
- Energy-efficient IoT protocols (LoRa, Sigfox, NB-IoT) and device lifespan extension are critical to sustainability.
- Digital Transformation and Net Zero Economy
- Digital transformation can drive net zero economy goals by enabling efficient energy management, carbon footprint tracking, and sustainable innovation.
- Technologies like Digital Twins, carbon capture and storage (CCS), and smart energy management systems are pivotal.
- Cultural and social readiness are as important as technology adoption for successful green digital transformation.
- Case Studies and Practical Implementations
- Google and Microsoft use AI-driven cooling systems in data centers to reduce energy consumption by up to 30%.
- Sustainable AI applications include smart home energy management, automated content creation (e.g., news portals using AI bots), and intelligent traffic management in smart cities.
- Blockchain and AI-based models can predict cryptocurrency market movements to optimize investments while minimizing energy waste.
- Virtualization and cloud computing reduce physical hardware needs, lowering energy use and emissions.
- Green Software in Industry and Business
- Research from China shows digitalization boosts green innovation in manufacturing and enterprises by reducing financing constraints and improving social responsibility.
- Collaboration between manufacturing and internet companies, supported by government subsidies and carbon credit policies, enhances green innovation.
- Managerial capabilities and digital investments are key to successful green technology adoption.
- Software Development and Best Practices
- Green Software development requires optimized code, efficient algorithms, and energy-aware infrastructure.
- Virtualization technologies (e.g., VMware, Hyper-V) improve resource utilization and reduce energy consumption.
- Cybersecurity and data privacy remain critical challenges in Green Software deployment.
- Green Software supports SDGs, particularly affordable and clean energy (SDG 7) and climate action (SDG 13).
- Economic and Governance Perspectives
- Initial investments in Green Software may be higher but lead to long-term operational savings and enhanced reputation.
- Compliance with global green economy trends is essential to avoid geopolitical sanctions and maintain competitiveness.
- Governance frameworks (e.g., ISO 14001, IT governance) and audits ensure sustainability principles are integrated into IT operations.
Guides, Reviews, and Tutorials Highlighted
- Systematic Literature Review with Bibliometrics on combining IoT, Blockchain, and AI for green governance.
- Explanation of deep learning and convolutional neural networks (CNN) as part of AI applications in Green Software.
- Demonstration of patterned data set techniques for cryptocurrency price prediction to optimize energy-efficient trading.
- Overview of sustainable AI applications such as automation in content creation and smart home energy management.
- Discussion of digital twin technology and carbon management cycles for industrial
Category
Technology
