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Opportunities &
Challenges in IoT
Future of IoT industry in Indonesia 2019 - 2024
MASTEL

FGD Pengembangan Industri IoT Nasional 2019 – 2024 

Jakarta - Oct 31, 2019
Andri Yadi
CEO, DycodeX
Andri Yadi
Vice Chairman, Indonesia IoT Association
Co-founder & CEO of DycodeX
a (at) dycodex.com | http://andriyadi.com
A (rogue) Physicist, Cum-Laude
Developer, Maker, Community Guy, Entrepreneur
About Me
MicrosoS Most Valuable Professional (MVP) of Azure for 12 years

Code for food & passion for 20 years

Break & make electronic stuXs for 22 years

Trying to change the world through entrepreneurship, 15 years now
PT. DycodeX Teknologi Nusantara
We’re 4 years sta-up, that is pioneering and leading in developing end-
to-end home-grown A"i$cial Intelligence (AI) & Internet of Things
(IoT)-based products & solutions in Indonesia, and enable maker
movement along the way.

Only a few of sta?ups in the country capable of doing both AI & IoT,
in-house!
As seen on
My Company
Our vision is to solve big problems with
4IR technologies.
Represent
hMps://facebook.com/asioti/
hMp://bit.ly/asioti-tgram
 hMp://bit.ly/MemberASIOTI
I’m not a futurist
Opportunity
Devices
56T
Network
39T
Platform
157T
Application
192T
Total IDR 444 Trillion!
Indonesia’s IoT Market in 2022: IDR444T
Major Contributors: Platform & Apps (78%)
in
just

3
years
Home & Others
3%
Agriculture
5%
Real Estate
5%
Utilities
6%
Transportation
7%
Government
8%
Computing
9%
Retail
9%
Insurance
13%
Healthcare
17%
Manufacture
18%
Total 400 million
Devices
Indonesia’s IoT Devices Number in 2022: 400M
Manufacture & Healthcare are
major contributors, totalling
140 million devices
in
just

3
years
Back to
Back to
Edge AI
Not much seen in Indonesia yet
I’VE BEEN PROMOTING IT
20+ TALKS THIS YEAR
Communication

Networks
IoT High Level Architecture
Gateways /

Base Station
Things
(lots of them)
Internet
Apps
Cloud User
Internet
Ingestion
Infrastructure
Logics
API
First, let’s get back to
* “Ternak” in SMARTernak means “livestock” in Bahasa Indonesia
Internet of Things & Artificial Intelligence-powered
Livestock-Farm Assistant Platform
16
Just an example
Livestock-wearable Device
Wearable Device Internals
Dual IoT Connectivity
Short Range: 1 km WiFi, Bluetooth v4.2, BLE
Mesh-supported. High speed, e.g. for firmware update
Long Range: NB-IoT, LoRa/LoRaWAN
for low power yet long range coverage
Powerhouse
Low Power Microcontroller
with on-device Machine Learning inference
Packed with Sensors
GPS / GNSS
Accelerometer, Gyroscope
Body Temperature
Ambient Temperature & Humidity
Barometric Pressure
Ambient Light
MEMS Microphone
Device Removal Detector
Smart Energy Management
Battery Monitoring
Solar Energy Harvesting
Smart Switching Between
Main & Backup Battery
Firmware-optimised
power consumption
Actuators
Audio Alert/Speaker
LED
Electronic board is 100% designed in-
house, mass-produced in Indonesia, by
100% Indonesian
Internet
SMARTernak: Monitoring
Monitor livestock’s where-about &
well-being parameters
Sensed Parameters:

Latitude, Longitude
Speed, Direction
Body temperature
Ambient temperature &
humidity
Ambient light
Ambient sound
Movement (Linear, Angular,
Direction)
Chest Circumference
Device removal status
Battery voltage & capacity
Do all raw data really need to go the cloud? 

Farmers may not need or understand raw
data!
What if we put
AI into IoT?
AI + IoT
IoT is about automated data collecting, 

storing, visualisation, and reacting, in massive scale
Combining AI + IoT enables a lot of use cases & business models!
“Data Supplier”
AI is about making sense of plethora of data, 

generating insights & recommendation,
and predicting the future outcome
“Data Miner”
AI Applications
Ingestion

/ API
Intelligence
EngineInternet
Edge Cloud
Simplified Architecture of Most AI-powered Applications
Inference result
Raw data
Face API
Internet
If you remember: how-old.net
Edge Cloud
how-old.net

(circa 2015)
(Web Browser)
High latency

Must be online

Potential privacy issue
What If…
We move intelligence closer or at
the Edge
AI on The Cloud - Cons
Demo: hBps://youtu.be/EwSZ1YagHMo
Demo: Face Detection, Gender &
Emotion Recognition run entirely
on my laptop, NOT in the Cloud
Demo: Face Detection, Gender &
Emotion Recognition run on
Microcontroller
last demo runs on…
It’s 8x8mm!
Benects:
High pegormance: less latency as no data need to go
to cloud

Works ohine: no internet connectivity needed to
exchange data with cloud.

Beier privacy: data can stays on-device if necessary

Ejcient power consumption: no need to send large
data to cloud. Most of power is consumed by radio
AI at the Edge
GNSS
176
Gyroscope
130
Accelerometer
21
Bluetooth
100
Radio
800
Display
400
in mW
Clearly Radio consumes
almost 50% of power.
65% if no display!
Typical Energy Consumption
Watch here: https://www.youtube.com/watch?v=i5DQSper7GA
TinyML
Demo Video: http://bit.ly/smrtrnk-ai-1
IMU Sensor
LPWA
AI + IoT on SMARTernak
Predicted activity

(standing, lying-down, feeding, and more)
App
Movement captured by 

Ineial Measurement Unit (IMU) inside 

livestock-wearable device
Web Socket
5D 1B 16
56 01 41
…(1080 B)
0A 0B 01
(3 Bytes)
{
“cattle_id”: 94,
“act”, “standing”,

…
}
LPWA = Low Power Wide Area Network
Payload length: ~200 - 1600 bytes
One of use cases: Detect & learn livestock activities based on sensor data with the help of AI
“Minority Repo?” movie clip, 2002

hMps://www.youtube.com/watch?v=7bXJ_obaiYQ
Personalised Ads
Now…
“Jerry Maguire” (1996). P.S: Watch the movie.
9Billion+
Microcontroller-powered devices deployed each year
AI on “Thing” will open a whole lot oppo?unities
Still not sure?
83%
AI chipsets market is for IoT
$26+B
AI in embedded IoT 

devices market
$80+B
Global general AI market
By 2023
Challenges
Real-world local challenges around IoT

Success stories

Talent &
Community

Infrastructure Regulations Startups &
Investments
g 

• Organizing IoT Business
Matching to connect
producers and
consumers, in collab
with Ministry of Industry

• Promoting Indonesia’s
IoT landscape to Asia’s
region (e.g. at IoT Asia
2019 in SG, GSMA APAC
IoT Summit in KL)

• Reaching makers
community through IoT
Makers Creation
program, in collaboration
with Ministry of Kominfo
& Industry. Visited 10
cities in 2019

• Involvement in the
formulation of national
competency standard
(SKNNI) for IoT ->
already convention

• Promoting IoT HR
Certification
• Promoting and helping
IoT Labs in Indonesia to
be Type Approval &
Certification labs, in
collaboration with
Kominfo

• Promoting IoT (public)
network deployment
nation-wide
• Involvement and giving
feedbacks/
recommendations on
LPWA device
requirement regulation

• Involvement in drafting
of IoT business model
regulation
• Facilitating IoT startup
founding 

• Promoting Indonesia’s IoT
startups to the region

• Promoting IoT R&D
g 
Success stories Talent & Community Infrastructure Regulations Startups & Investments
What ASIOTI has been doing… so far
3 Activity Pillars in 2019
 
Socialisation &
Education

Certifications Collaboration
g
Devices, human resourcesIoT Makers Creation 2019
MoUs with industry players
in region
Collaboration
Disrupt large enterprises
Emphasis on tailor made products
Education: practice over theory
Resource sharing
Convergence of forces last decade
innovations
Epic Journey StaupMaker
How many Indonesia’s IoT startups? Investors?
All abroad. What about Indonesia?
Hardware Accelerator/Incubator
Closing
”
“The best way to predict the future is to invent it.”
Alan Kay, at a 1971 meeting of PARC
”
“The future cannot be predicted, but futures can be
invented.”
Dennis Gabor, Inventing the Future (1963)
hMps://facebook.com/asioti/
hMp://bit.ly/asioti-tgram
 hMp://bit.ly/MemberASIOTI
Join & collaborate with us
Andri
Vice Chairman, ASIOTI
CEO, DycodeX
a (at) dycodex.com
Keep in touch

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Opportunities & Challenges in IoT - Future of IoT industry in Indonesia 2019 - 2024

  • 1. Opportunities & Challenges in IoT Future of IoT industry in Indonesia 2019 - 2024 MASTEL FGD Pengembangan Industri IoT Nasional 2019 – 2024 Jakarta - Oct 31, 2019 Andri Yadi CEO, DycodeX
  • 2. Andri Yadi Vice Chairman, Indonesia IoT Association Co-founder & CEO of DycodeX a (at) dycodex.com | http://andriyadi.com A (rogue) Physicist, Cum-Laude Developer, Maker, Community Guy, Entrepreneur About Me MicrosoS Most Valuable Professional (MVP) of Azure for 12 years Code for food & passion for 20 years Break & make electronic stuXs for 22 years Trying to change the world through entrepreneurship, 15 years now
  • 3. PT. DycodeX Teknologi Nusantara We’re 4 years sta-up, that is pioneering and leading in developing end- to-end home-grown A"i$cial Intelligence (AI) & Internet of Things (IoT)-based products & solutions in Indonesia, and enable maker movement along the way. Only a few of sta?ups in the country capable of doing both AI & IoT, in-house! As seen on My Company Our vision is to solve big problems with 4IR technologies.
  • 5. I’m not a futurist
  • 7. Devices 56T Network 39T Platform 157T Application 192T Total IDR 444 Trillion! Indonesia’s IoT Market in 2022: IDR444T Major Contributors: Platform & Apps (78%) in just 3 years
  • 8. Home & Others 3% Agriculture 5% Real Estate 5% Utilities 6% Transportation 7% Government 8% Computing 9% Retail 9% Insurance 13% Healthcare 17% Manufacture 18% Total 400 million Devices Indonesia’s IoT Devices Number in 2022: 400M Manufacture & Healthcare are major contributors, totalling 140 million devices in just 3 years
  • 9.
  • 10.
  • 11.
  • 14. Edge AI Not much seen in Indonesia yet
  • 15. I’VE BEEN PROMOTING IT 20+ TALKS THIS YEAR
  • 16. Communication Networks IoT High Level Architecture Gateways / Base Station Things (lots of them) Internet Apps Cloud User Internet Ingestion Infrastructure Logics API First, let’s get back to
  • 17. * “Ternak” in SMARTernak means “livestock” in Bahasa Indonesia Internet of Things & Artificial Intelligence-powered Livestock-Farm Assistant Platform 16 Just an example
  • 19. Wearable Device Internals Dual IoT Connectivity Short Range: 1 km WiFi, Bluetooth v4.2, BLE Mesh-supported. High speed, e.g. for firmware update Long Range: NB-IoT, LoRa/LoRaWAN for low power yet long range coverage Powerhouse Low Power Microcontroller with on-device Machine Learning inference Packed with Sensors GPS / GNSS Accelerometer, Gyroscope Body Temperature Ambient Temperature & Humidity Barometric Pressure Ambient Light MEMS Microphone Device Removal Detector Smart Energy Management Battery Monitoring Solar Energy Harvesting Smart Switching Between Main & Backup Battery Firmware-optimised power consumption Actuators Audio Alert/Speaker LED Electronic board is 100% designed in- house, mass-produced in Indonesia, by 100% Indonesian
  • 20. Internet SMARTernak: Monitoring Monitor livestock’s where-about & well-being parameters Sensed Parameters: Latitude, Longitude Speed, Direction Body temperature Ambient temperature & humidity Ambient light Ambient sound Movement (Linear, Angular, Direction) Chest Circumference Device removal status Battery voltage & capacity Do all raw data really need to go the cloud? Farmers may not need or understand raw data!
  • 21. What if we put AI into IoT?
  • 22. AI + IoT IoT is about automated data collecting, storing, visualisation, and reacting, in massive scale Combining AI + IoT enables a lot of use cases & business models! “Data Supplier” AI is about making sense of plethora of data, generating insights & recommendation, and predicting the future outcome “Data Miner”
  • 24. Ingestion / API Intelligence EngineInternet Edge Cloud Simplified Architecture of Most AI-powered Applications Inference result Raw data
  • 25. Face API Internet If you remember: how-old.net Edge Cloud how-old.net (circa 2015) (Web Browser)
  • 26. High latency Must be online Potential privacy issue What If… We move intelligence closer or at the Edge AI on The Cloud - Cons
  • 27. Demo: hBps://youtu.be/EwSZ1YagHMo Demo: Face Detection, Gender & Emotion Recognition run entirely on my laptop, NOT in the Cloud
  • 28. Demo: Face Detection, Gender & Emotion Recognition run on Microcontroller
  • 29. last demo runs on… It’s 8x8mm!
  • 30. Benects: High pegormance: less latency as no data need to go to cloud Works ohine: no internet connectivity needed to exchange data with cloud. Beier privacy: data can stays on-device if necessary Ejcient power consumption: no need to send large data to cloud. Most of power is consumed by radio AI at the Edge
  • 31. GNSS 176 Gyroscope 130 Accelerometer 21 Bluetooth 100 Radio 800 Display 400 in mW Clearly Radio consumes almost 50% of power. 65% if no display! Typical Energy Consumption
  • 35. IMU Sensor LPWA AI + IoT on SMARTernak Predicted activity (standing, lying-down, feeding, and more) App Movement captured by Ineial Measurement Unit (IMU) inside livestock-wearable device Web Socket 5D 1B 16 56 01 41 …(1080 B) 0A 0B 01 (3 Bytes) { “cattle_id”: 94, “act”, “standing”,
 … } LPWA = Low Power Wide Area Network Payload length: ~200 - 1600 bytes One of use cases: Detect & learn livestock activities based on sensor data with the help of AI
  • 36. “Minority Repo?” movie clip, 2002 hMps://www.youtube.com/watch?v=7bXJ_obaiYQ Personalised Ads
  • 37. Now… “Jerry Maguire” (1996). P.S: Watch the movie.
  • 38.
  • 39.
  • 40.
  • 41. 9Billion+ Microcontroller-powered devices deployed each year AI on “Thing” will open a whole lot oppo?unities
  • 43. 83% AI chipsets market is for IoT $26+B AI in embedded IoT devices market $80+B Global general AI market By 2023
  • 44.
  • 46. Real-world local challenges around IoT  Success stories  Talent & Community Infrastructure Regulations Startups & Investments g 
  • 47.  • Organizing IoT Business Matching to connect producers and consumers, in collab with Ministry of Industry • Promoting Indonesia’s IoT landscape to Asia’s region (e.g. at IoT Asia 2019 in SG, GSMA APAC IoT Summit in KL)  • Reaching makers community through IoT Makers Creation program, in collaboration with Ministry of Kominfo & Industry. Visited 10 cities in 2019 • Involvement in the formulation of national competency standard (SKNNI) for IoT -> already convention • Promoting IoT HR Certification • Promoting and helping IoT Labs in Indonesia to be Type Approval & Certification labs, in collaboration with Kominfo • Promoting IoT (public) network deployment nation-wide • Involvement and giving feedbacks/ recommendations on LPWA device requirement regulation • Involvement in drafting of IoT business model regulation • Facilitating IoT startup founding • Promoting Indonesia’s IoT startups to the region • Promoting IoT R&D g  Success stories Talent & Community Infrastructure Regulations Startups & Investments What ASIOTI has been doing… so far
  • 48. 3 Activity Pillars in 2019   Socialisation & Education Certifications Collaboration g Devices, human resourcesIoT Makers Creation 2019 MoUs with industry players in region
  • 49. Collaboration Disrupt large enterprises Emphasis on tailor made products Education: practice over theory Resource sharing Convergence of forces last decade innovations
  • 50. Epic Journey StaupMaker How many Indonesia’s IoT startups? Investors?
  • 51.
  • 52. All abroad. What about Indonesia? Hardware Accelerator/Incubator
  • 54. ” “The best way to predict the future is to invent it.” Alan Kay, at a 1971 meeting of PARC ” “The future cannot be predicted, but futures can be invented.” Dennis Gabor, Inventing the Future (1963)
  • 56. Andri Vice Chairman, ASIOTI CEO, DycodeX a (at) dycodex.com Keep in touch