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Internet of Things (IoT) dan tantangan ke depan
Dr.Eng., Ir. Adha Imam Cahyadi, ST., M.Eng., IPM
Ketua Prodi Sarjana Teknik Elektro Universitas Gadjah Mada
Wakil Ketua FORTEI Regional Jateng-DIY
Webinar di IIB Darmajaya
DTETI UGM• 6 Program: 3 Sarjana, 2 Magister, 1 Doktoral
• ~1200 mahasiswa S1, ~400 mahasiswa Pasca
• 60+ staf dosen, ~70% Ph.D holders
• Best Department in publication in UGM 2018-2020
• Best staffs in publication in UGM
• Accredited by international bodies• ABET
• AUN-SAR
Program Sarjana TE UGM
• Berdiri tahun 1963
• Tahun 2006, Prodi Teknologi Informasi didirikan
• Mempunyai 1200 mahasiswa Sarjana, 200 mahasiswa Magister dan doktoral
• Mempunyai 66 staf pengajar dengan sebagian besar berpendidikan doktor
• Tahun 2016, kurikulum berubah mengikuti OBE
• Terakreditasi A BAN PT 2018
• Terakreditasi IABEEE 2018
• Terakreditasi ABET 2019
http://sarjana.jteti.ugm.ac.id/
• 11 dari 32 peneliti UGM berasal dari DTETI (33%)
• 11 dari 16 peneliti FakultasTeknik berasal dari DTETI (69%)
Revolusi Industri (RI)
Wikipedia, 2016
RI4: cyber-physical systems
• And now we enter Industry 4.0, in which computers and automation will come together in an entirely new way, with robotics connected remotely to computer systems equipped with machine learning algorithms that can learn and control the robotics with very little input from human operators (Bernard Marr, Forbes 2016).
• Visi Pemerintah Jerman tahun 2006 tentang integrated industry
• Konsep Industri 4.0:• Interoperability: -> Connect via IoT• Information transparency: -> share the information for immediate decision• Technical assistance: -> support from cyber physical systems• Decentralized decisions: decisions in low-medium level from cyber physical systems
• Lebih kepada communication and connectivity dan bukan ke teknologi
https://preparingforgre.com
The Covid-19 pandemic has precipitated profound changes across
the globe, accelerating the shift towards digital transformation
and radically impacting workflows. Industry 4.0 is necessary! John
Robinson - Strategic Client Advisor, Digital Supply Chain at SAP
Let’s talk about IoT
Camera
Gyro/Accelerometer
GPS sensors PPG/Blood monitoring
Voltage/current/battery management
Finger print/vein sensors
Others: temperature, humidity, light etc
Your smart phone has so many sensors!
Social networks: People to people
How about to connect not only people to people?
• Sensors to sensors?
• Devices to devices?
• Machines to machines?
• How can they talk each other like human?
• Here comes IOT……
Internet of things
• Things mean sensors, devices, machines, etc just like human!
Definisi formal IOT
• The Internet of things (IoT) is a system of interrelated computingdevices, mechanical and digital machines provided with unique identifiers (UIDs) and the ability to transfer data over a networkwithout requiring human-to-human or human-to-computer interaction. (Wikipedia, 2020)
IoT VS not-IoT• Things: human, animal, machine etc
• Interrelation: equipped with sensor with communication abilities
Not IoT
Contoh IoT: smart home
• Available on market
Contoh IOT: transportasi
• Safety
• Vehicle health
• Smart public transport
• Toll billing
• Supply chain management
• Warehouse management
• Fleet/cargo/ship management
Contoh IOT: Industrial IOT (IIoT)
• The potential for growth from implementing IIoT may generate $12 trillion of global GDP by 2030
• Wide range of industry:• Manufacture
• Oil and gas
• Agriculture
• Services
• Infrastructure
• Supply chain efficiency
• Predictive manufacturing
Smart Agriculture
Contoh IOT: Smart Cities
• Songdo, South Korea, fully equipped, wired, and automated, with little or no human intervention.
• Santander, Spain people use smartphone app connected to 10,000 sensors that enable services like parking search, environmental monitoring, digital city agenda, and more.
• Efficiency, energy management, traffic managemen, smart parking, etc
IoT + Others
• IoT + Others = better (possibly the best)
• Biasanya IoT tidak berdiri sendiri tetapibergabung menjadi system yang besar
• IoT+Big Data&Analytics
• IoT+ AI
• IoT+ Additive manufacturing
• IoT + Cloud computing
• etc
IBM Watson vs human champion
• IBM Watson adapt natural language processing part of DeepQA project
• Learned million of words through encyclopedias, dictionaries, thesauri, newswire articles and literary works
• It might not be IoT but now Watson dealing with IoT!
Watson at this moment
• He moves to hospitals as healthcare worker
• He can learn medicaltextbooks faster than human
• IBM's Watson is better at diagnosing cancer than human doctors (90% va 50%)
IoT+Big Data+Artificial Intelligence= good?
- Prof Hawking said that AI could be future threat if not wisely controlled
- Listen to what Sophia said!- Which one is better?:
- Skilled doctor vs IBM Watson
- Chess player vs Computer- Human officer vs AI based
Camera- Human soldier vs Robotic
soldier
IOT Protocols: Publish-subscribe
• MQTT(Message Queuing Telemetry Transport)
• AMQP (Advanced Message Queuing Protocol)
• DDS (Data Distribution Service),
IOT Protocols: request-reply
• XMPP (Extensible Messaging and Presence Protocol)
• CoAP (Constrained Application Protocol).
Future IoT
• The number of IoT devices increased 31% yearly from 8.4 billion (2017) to 30 billion devices in 2020.
• The global market value of IoT is $7.1 trillion in 2020. (Wikipedia, 2020)
Tantangan IOT di masa depan
• IOT secara teknologi mudah dipelajari tapi perkembangannyasangat cepat Moore’s Law
• Rata-rata hanya perlu 3 bulan untuk belajar dari nol
• Learning by doing
• Mustahil untuk mempelajari dan menguasai semuanya
• Diperlukan dasar-dasar pengetahuan untuk mempelajari, bukanbelajar teknologinya
• Mempunyai potensi bahaya, pelanggaran privacy dan keamanan
• Menambah device=efisiensi tapi mengurangi tenaga kerja
Challenges in RI 4.0
• Nature of jobs: Jobs would be replaced by advanced robots with intelligence at extremely fast influence
• Innovation at faster pace: • Digital currency: bitcoin, block chain, etc driven by information and data
• Skills: Artificial intelligence, Big data and analytics, IoT, 3D Printings
WEF Global Agenda Council on Future of Software & Society Survey Report: Deep Shift 21 Ways Software will Transform Global Society (Nov 2015)
Konsep kurikulum Pendidikan Tinggi Teknik
• Job are replaced by robot and autonomy with AI at faster pace
• Classical approaches would lead to failure
• Menyiapkan lulusan siap kerja menjadi tidak relevan• Impossible to get one that fits all!
• Perlu Lulusan dengan kharakter pembelajar sepanjang hayat
• Must have subjects: AI, ML, Strong foundation in math and physics
• Must have subjects: Social Science, Humanity and Art
• Kurikulum tidak menciptakan lulusan yang siap bekerja, tetapi siapbelajar menghadapi perubahan
Strong foundation
Religion, ideology,
social sciences
Digital competency
and Emerging Skills
Capstone Design Project
Ready for long-life learning
Kurikulum di PS Sarjana DTETI UGM
Math and basic Science (34 sks)
Agama kontekstual,Pancasila, Kewirausahaan etc
AI, ML, IOT, Analytics
We learnt formABET
Core Subjects
Member of AIC’s Lab
Terima kasih