Summary of "WEBINAR NASIONAL: AI dan IoT untuk Dunia Modern:Inovasi, Implementasi, dan Dampaknya bagi Masa Depan"
Summary of the Webinar:
Title: WEBINAR NASIONAL: AI dan IoT untuk Dunia Modern: Inovasi, Implementasi, dan Dampaknya bagi Masa Depan
Date: Wednesday, May 28, 2025
Organizer: Bachelor of Computer Systems Study Program, University of Computer Science and Engineering Semarang (Tekom University)
Format: Presentations by 10 expert speakers, followed by Q&A
MAIn Ideas, Concepts, and Lessons Conveyed:
1. Introduction and Context
- AI (Artificial Intelligence) and IoT (Internet of Things) are no longer futuristic concepts but integral to modern life across sectors like industry, health, education, transportation, and government.
- The webinar AIms to bridge theory and practice by sharing knowledge and encouraging critical thinking about the ethical, policy, and workforce impacts of these technologies.
- Collaboration among universities and institutions is emphasized for advancing innovation and application.
2. Webinar Rules and Structure
- Participants must mute microphones during presentations.
- Questions can be submitted via Zoom chat or YouTube comments with clear identification.
- Attendance forms must be filled for digital certificates.
- Presentations are time-limited (~10 minutes each) with possible extensions during Q&A.
DetAIled Presentation Summaries and Methodologies:
Speaker 1: Mr. Moh Alfa Ujianto (Utpadaka University Tangerang)
Topic: AI and IoT Architecture & Data Processing Optimization for Real-Time Smart Transportation
- Challenges in transportation: traffic congestion, accidents, pollution.
- AI + IoT provide real-time, adaptive data-driven solutions using Edge Computing (processing near data source instead of cloud).
- Key concepts:
- IoT: network of interconnected smart devices.
- AI: analytics and automatic decision-making.
- Edge Computing: local data processing for low latency.
- Architecture includes IoT+sensors+for+smart+home&tag=dtdgstoreid-21">IoT sensors embedded in vehicles, edge devices running AI models for Machine Learning and Deep Learning.
- Case studies: smart traffic lights that reduce wAIting time by 30%, smart public transport monitoring speed, driver behavior, and route optimization.
- Advantages: low latency, reduced bandwidth use, improved privacy/security through local data processing.
- Challenges: limited Edge Computing power, system modularity, data security (encryption/authentication).
- Future: integration with 5G, autonomous vehicles, scalable and energy-efficient systems.
- Closing note: humans remAIn creators and controllers of AI systems.
Speaker 2: Mr. Ronald David Markus (Merdeka University Malang)
Topic: Towards the Hyperconnected Era: How AI and IoT Reshape the Modern Ecosystem
- Hyperconnected era: billions of IoT devices communicating in real-time creating smart ecosystems.
- AI acts as the brAIn analyzing data collected by IoT (the nervous system).
- Applications in smart cities (traffic optimization), health (heart monitoring), industry 4.0 (predictive mAIntenance), agriculture (smart farming), retAIl (cashier-less stores).
- Examples: Tesla’s autonomous cars, Singapore’s Smart Nation platform reducing carbon emissions by 35%.
- Challenges: data security (43% cyberattacks target IoT), infrastructure costs (5G, AI servers), ethics and privacy concerns (mass surveillance).
- Future: AI processing at device level (edge AI), faster networks (5G/6G), green energy smart grids.
- Conclusion: AI and IoT are foundational to future civilization; success depends on global collaboration and ethical management.
Speaker 3: Dr. Herlina Jayadianti (UPN Veteran Yogyakarta)
Topic: Integration of AI+and+IoT&tag=dtdgstoreid-21">Ontology with AI and IoT for Semantic Interoperability
- AI+and+IoT&tag=dtdgstoreid-21">Ontology: formal representation of knowledge to enable shared understanding among heterogeneous IoT devices from different manufacturers.
- Addresses semantic interoperability, ambiguity (same term different meanings), and synonymy (different terms same meaning).
- AI+and+IoT&tag=dtdgstoreid-21">Ontology enables automated, intelligent data processing and device interaction without human intervention.
- Example: smart campus where temperature sensors and AC units from different vendors understand each other’s data via AI+and+IoT&tag=dtdgstoreid-21">Ontology.
- AI+and+IoT&tag=dtdgstoreid-21">Ontology modeling involves defining entities (students, classrooms, sensors), relationships, and properties using semantic web languages (e.g., OWL, SPARQL).
- This facilitates energy saving, automation, and improved comfort.
- Challenges: data confidentiality, reluctance to share data, complexity in building ontologies.
- Emphasizes the importance of AI+and+IoT&tag=dtdgstoreid-21">Ontology for scalable, smart IoT systems.
Speaker 4: Mr. Gunawan, S., M.Kom (Pancasakti University Tegal)
Topic: From Sensors to Intelligence: Building Future Solutions with AI and IoT
Overview of AI and IoT synergy: IoT collects data, AI analyzes and makes decisions. Machine Learning and Deep Learning explAIned as
Category
Educational
