04 Sistem dan Perangkat Digital

Main ideas & lessons (Digital Systems & Devices — IoT, Part 2)

IoT (Internet of Things): definition and purpose

• IoT is a field that connects the internet with real-world (physical) objects.
• It enables everyday objects to sense, actuate, and exchange data with:
  • other objects
  • humans
  • internet-based applications
• Outcomes:
  • decisions can be made from data
  • services can be provided
  • physical objects can be controlled from anywhere, anytime, and using any device (smartphone/tablet/PC)
• IoT systems can operate autonomously without human intervention.

Impact and application areas

• The lecture highlights a major economic impact (with a forecast mentioned for 2025).
• Common application domains include:
  • home automation
  • autonomous vehicles
  • office security
  • energy systems
  • smart cities
  • retail
  • human health
  • logistics
• Example uses mentioned:
  • drones and surveillance
  • fish feeders
  • robots for medicine/food support
  • connected payment systems
  • smart greenhouses and smart meters (monitor/control electricity use)
  • patient monitoring and ventilators
  • remote dashboards/analytics for health data

Who introduced IoT

• IoT was introduced by Kevin Ashton (1999), described as connecting the internet to the real world using networks and sensor data.

Technology building blocks that drive IoT

• Internet technology: infrastructure for “anywhere” access
• Mobile technology: smartphone/touch interfaces to manage and control objects
• Cloud technology: storage + messaging + security + connectivity + computation
• M2M (Machine-to-Machine) communication:
  • automated data exchange between devices
  • without a human interface

IoT as a cyber-physical system

IoT devices can see/hear/think/speak/do through:

• sensors: gather data about the environment
• actuators: perform actions

Example:

• An “automatic chair” adjusts itself based on who sits (senses identity/size/position and adjusts).

Value provided by IoT

• Efficiency via automation
• Comfort and improved user experience
• Convenience (less manual work; automated tasks)
• Effectiveness (achieve goals better, increase productivity)
• New services/business models
• Monetization potential through new application opportunities and market expansion.

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Methodology / step-by-step flow for IoT system design & operation (as described)

A) Challenges/requirements when designing IoT systems

• Reliability: consistently perform according to specifications.
• Mobility: manage devices (often via smartphone) and allow them to move as needed.
• Availability: avoid frequent failures; ensure uptime and continuous service.
• Scalability: expand without degrading quality of service.
• Performance evaluation: monitor and assess performance over time.
• Interoperability: multiple systems exchange data using standards.
• Management: devices must be manageable at scale.
• Security and privacy: critical due to large numbers of internet-connected devices.

B) IoT architecture (layered approach: 3 layers + application)

1. Perception / Physical (Sensing) Layer
   • Includes sensors and actuators
   • Collects information and can execute actions
2. Network Layer
   • Provides connectivity between:
     • objects/devices
     • gateways
     • servers/cloud
   • Transmits and processes sensor data
3. Data Processing Layer
   • Processes data so it can be interpreted
4. Application Layer
   • Implements application functions based on user-specified services

Example (Smart Home):

• turn lights on/off
• raise/lower temperature
• heat water
• open doors

C) IoT “stage” / pipeline (from sensing to cloud analytics)

1. Define “things” (edge devices/objects)
   • Things may be mobile devices, smart meters, robots, etc.
   • They generate data via:
     • sensing (capture environment)
     • actuating/control (apply actions)
2. Data aggregation + gateway
   • Collect and aggregate data
   • Gateway connects devices to broader systems
3. Early data analytics
   • Initial analytics at/near the edge or gateway (preprocessing)
4. Data center / Cloud + advanced analytics
   • Store and analyze massive datasets (big data analytics)
   • Use AI/machine learning to produce insights
5. Visualization & decision support
   • Present results via dashboards (e.g., health dashboards)
   • Enable data-driven decision-making

D) Gateway/edge data preprocessing (to reduce load and improve system behavior)

• Filter and transform data before sending to the cloud.
• Select/prepare only necessary data (instead of sending “raw” data).
• Benefits stated:
  • reduces bandwidth usage
  • reduces latency
  • improves reliability
  • reduces system cost
  • increases security by limiting transmitted data

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Key components in IoT (as described)

• Sensors
  • Measure physical/chemical quantities and convert them to digital form
  • Characteristics/requirements mentioned:
    • sensitivity / minimum sensitivity
    • compatibility with environment
    • operating range
    • frequency response
    • suitability for use
    • durability/rigidity
• Actuators
  • Perform physical actions (e.g., open doors, raise curtains)
• Gateway
  • Facilitates communication between sensors/devices and the system/cloud

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IoT node / device (computing + connectivity) characteristics

Node composition

• Processor that runs an application
• OS + driver (as applicable)
• Interfaces/IO, such as:
  • GPIO for power and sensor/actuator connection
  • connections to RFID/NFC (as mentioned)
• Wireless communication module to reach the gateway

Typical device constraints

• small form factor
• low cost
• low power consumption
• easy to deploy
• expected multi-year lifetime with minimal maintenance

Communication traits

• low data rate / low bandwidth
• low connectivity cost
• long-range options
• high delay tolerance
• small packet sizes

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Communication/network types and technologies mentioned

Network topology

• Star architecture: one node connects to many nodes (but may require more power).
• Mesh network: nodes connect with short-range links to cover wider areas.

Short-range vs long-range trade-offs

• Short range: Bluetooth, ZigBee
• Medium/long range with low data: LoRa, Sigfox (long-range emphasis)
• Higher speed / longer range (more data): Wi‑Fi, LTE/cellular

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Example IoT application scenarios (use cases)

• Mining operations
  • loading site, dumping site, and transfer/building sites
  • devices communicate so they can be observed/controlled remotely
• Smart city
  • water management
  • waste management
  • surveillance
  • street lighting (remote on/off)
  • bus information system / intelligent transportation
  • smart grid
  • e-government
• Other referenced domains
  • healthcare monitoring and patient-generated data workflows

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Speakers / sources featured (explicit in subtitles)

• Trio Adiono (presenter; lecture host)
• Nana Sustisna (assistant)
• Kevin Ashton (credited with introducing IoT in 1999)
• McKenney (source cited for the economic impact estimate)