Summary of "WEBINAR NASIONAL : Integrasi AI, IoT, dan Big Data dalam Manajemen Rantai Pasok"

Summary of Webinar: Integration of AI, IoT, and Big Data in Supply Chain Management — Efficiency Strategies and Competitive Advantages

This national webinar, organized by the Computer Systems Undergraduate Study Program of Semarang University and collaborating universities, explored how Artificial Intelligence (AI), Internet of Things (IoT), and Big Data technologies transform supply chain management (SCM) to increase efficiency, resilience, and competitive advantage in various industries, including manufacturing, finance, and food production.

Main Financial Strategies, Market Analyses, and Business Trends Presented

Smart Supply Chain Implementation:
- Integration of AI, IoT, and Big Data enables real-time data collection, analysis, and automation.
- Benefits include demand forecasting, inventory optimization, deadline management, and rapid response to disruptions.
- Case studies such as Amazon and UPS demonstrate productivity gains and cost reductions through AI-driven logistics and IoT-enabled monitoring.
Digital Supply Chain in Financial Sector:
- Financial institutions leverage digital supply chains to automate transactions, reduce operational costs (up to 30-40%), and improve customer service.
- Technologies like Blockchain enhance transparency, security, and speed of transactions, reducing fraud risk by up to 80%.
- AI and Big Data enable better risk management, demand forecasting, and personalized customer experiences.
- Cloud platforms provide scalable, secure, and efficient integration of legacy and modern systems.
Supply Chain in Manufacturing and Food Industry:
- IoT sensors monitor production conditions (e.g., temperature and humidity) to maintain product quality.
- Big Data analytics provide insights into demand patterns, inventory status, and customer preferences to optimize production and distribution.
- Governance frameworks (e.g., COBIT 5) ensure information system security and operational compliance.
Governance and Security in Digital Supply Chains:
- Significant investment in infrastructure and human resources is required.
- Security risks include cyberattacks such as ransomware, botnets, and insider threats.
- Adoption of security standards (ISO 27001, ISO 27036), zero-trust architecture, encryption, and incident response teams is critical.
- Privacy laws (e.g., Indonesia’s PDP Law, GDPR) guide data protection efforts.
- Continuous monitoring, governance, and human oversight are essential to mitigate risks.
Future Trends and Challenges:
- Emerging technologies like generative AI and quantum computing promise enhanced predictive capabilities and optimization.
- Integration complexity, high initial costs, data quality, and workforce training remain challenges.
- Blockchain integration for transparency, traceability, and smart contracts is a growing research direction.
- Digital transformation is imperative for competitiveness; gradual implementation with focus on quick wins is advised.

Methodologies and Step-by-Step Guides Shared

Smart Supply Chain Framework (by Prof. Dr. Heti Rohayati)

Data Collection: Use IoT sensors to collect real-time data across supply chain points.
Data Analysis: Apply AI and machine learning to analyze data for insights and predictions.
Process Automation: Automate manual tasks to increase efficiency and reduce errors.
Visibility: Maintain high transparency of inventory, delivery, and demand status.
Responsiveness: Quickly adapt to changes or disruptions in demand or supply.

Intelligent Supply Chain Network Framework (by Dr. Untari Novia Wisesti)

AI Layer: Forecasting and predictive analytics using machine learning; decision support systems for operational recommendations.
Big Data Layer: Manage massive, heterogeneous data streams from IoT devices and external sources; real-time processing and storage.
Communication Layer: Use 5G, IoT, and edge computing to ensure fast, secure data connectivity among stakeholders.
Workflow: IoT collects data → Big Data processes and stores → AI analyzes and optimizes → Communication layer distributes insights to stakeholders.

Information System Security Governance (by Mrs. Azifa Habibah)

Use COBIT 5 framework focusing on domains like Deliver, Service and Support (DSS) for IT service management.
Regular evaluation of security maturity levels and continuous improvement.
Integration of governance with business objectives to ensure data security and compliance.

Security Strategy in Supply Chain (by Mr. Ali Hafiz)

Recognize security risks: ransomware, botnets, insider threats.
Adopt standards like ISO 27001 and ISO 27036 for supply chain security.
Implement zero-trust architecture, encryption, risk management for third parties.
Develop incident response teams and continuous monitoring.
Emphasize human factor awareness and training to reduce social engineering risks.

Key Takeaways

Efficiency & Cost Reduction: Automation and predictive analytics reduce operational costs and improve delivery speed.
Transparency & Security: Blockchain and security governance frameworks enhance trust and protect assets.
Resilience: Real-time visibility and predictive capabilities help supply chains withstand global disruptions like pandemics and geopolitical crises.
Workforce Adaptation: Transition from manual roles to technical and analytical roles through training and upskilling.