Dr. Intan Nurma Yulita, M.TPusat Riset Kecerdasan Artifisial dan Big Data

Universitas Padjadjaran

Dr. Intan Nurma Yulita, M.T

• Ketua Pusat Riset Kecerdasan Artifisial dan Big Data Universitas Padjadjaran

• Pengalaman instruktur:

o Artificial Intelligence-Oracle Academy

o Artificial Intelligence-Huawei

o Machine Learning- Bangkit Academy

Outline

• AI Overview

• Teknis dan Aplikasi AI

• Implementasi AI di Pendidikan

AI di Mata Masyarakat

Haidian Park: First AI-themed Park in the World

StarCraft II: AlphaStar Beat Professional Players

AI-created Edmond de Belamy Sold at US$430,000

Dem and f or AI Programmers: 𝗍 35 Times! Salary:

Top1!

50%Jobs Will be Replaced by AI in the future

Winter is Coming? AI Faces Challenges

…

The Terminator

2001: ASpace Odyssey

The Matrix

I, Robot

Blade Runner

Elle

Bicentennial Man

…

⚫ Orang-orang mengenal AI melalui berita, film, dan aplikasi aktual dalam kehidupan sehari-hari. Apa AI di mata publik?

Music/Movie recommendation

Smart speaker

Ai facial fortune-telling

Vacuum cleaning robot

Self-service bank terminal

Intelligent customer service

Siri

…

News

AI Applications

AI industry outlook

Challenges faced by AI

…

Movies

AI Control over human

beings

Fall in love with AI

Self-awareness of AI

…

Applications in daily life

Security protection

Entertainment

Smart Home

Finance

…

AI di Mata Peneliti

• The science of m a k i n g machines do things that wo u l d require intelligence if d o n e b y m e n

• M a r v In M In s k y

• "I propose to consider the question, 'Can machines think?'"

• — Alan Turing 1950

• The branch of computer science concerned wi t h m a k i n g computers behave likehumans.

• — John M cCart hy 1956

Apa itu Intelligences?⚫

⚫

Howard Gardner's Multiple Intelligences

Human intelligences can be divided into seven categories:

Verbal/Linguistic

Logical/Mathematical

Visual/Spatial

Bodily/Kinesthetic

Musical/Rhythmic

Inter-personal/Social

Intra-personal/Introspective

Apa itu AI?⚫ Artificial Intelligence (AI) adalah ilmu teknis baru yang mempelajari dan mengembangkan teori,

metode, teknik, dan sistem aplikasi untuk meniru dan memperluas kecerdasan manusia. Pada tahun

1956, konsep AI pertama kali diusulkan oleh John McCarthy, yang mendefinisikan subjek sebagai

"sains dan rekayasa pembuatan mesin cerdas, terutama program komputer cerdas". AI prihatin

dengan membuat mesin bekerja dengan cara yang cerdas, mirip dengan cara dia bekerja. Saat ini AI

telah menjadi mata kuliah interdisipliner yang melibatkan berbagai bidang.

AI

Brain

science Cognitive

science

Psychology

LinguisticsLogic

Philosophy

Computer

science

Identification of concepts related to AI and machine learning

AI Development Report 2020

Hubungan AI, Machine Learning, dan Deep Learning

Sejarah Pengembangan AI

1 9 5 6-1 9 7 6

Fi rst p er i od of boom

Th e con cep t and development target

of AI wer e determ ined at the

Dar tmou th conf erence.

19 50 s 19 60 s 19 70 s 19 80 s 19 90 s 20 00 s 20 10 s 20 20 s

1 9 7 6-1 9 8 2

Fi rst p er i od of

low eb b

AI suff ered from

quest ioning and

crit i c ism d u e to

insufficient

comput i ngcapabi l i t ies, h igh

comput i ng

complexi ty, and

great di ff icul ty of

inference

real ization.

1 9 8 2-1 9 8 7Sec ond per i od

of boom

Exp er t syst em

cap ab le of l og i c

rule inference

and an swer in g

quest ions of

speci fic fields

wen t popu lar

and fifth-

gen er ati on

c om p u ter s

de velo ped .

1 9 8 7-1 9 9 7

S ec on d per i od of low

ebbTechnical f ields faced

bottlenecks , peop le

on lon ger focused on

abstract inference,

and models bas ed on

symbol process i ng

wer e rejected.

1 9 9 7-2 0 1 0

Per i od of recov ery

Compu t ing per formance

was improved and Internet

technologies got

popularized quickly.

2 0 1 0-

Per i od of rap id growth

New- generat i oninformation technologies

tr iggered transformation of

in formation env i ron men t

and data bas i s . Mul ti -

model data such as

mass ive images, voices,

and texts emerged

continuously. Comput ing

capabi l i t ies wer e imp roved .

1956 : AI was p roposed at

the Dar tmou th Conferen ce.

1959 : Ar thur Samuel

p roposed machine

learning.

1 9 7 6: Du e to failure

of projects s u c h a s

m ac h i n e tr ansl at i on

an d n eg ative im p act

of some academic

repor ts, the fund forAI was decreased

in general .

1985: Decision-

mak in g tree

model s wi th

better

visual ization

effect and mul ti -

lay er ANNs

wh ich broketh rou gh the l imi t

of early

percept ron. 1 9 8 7 : Th e

market of L ISP

mach ines

col lapsed.

1997 : De ep Blue

defeated the wor ld

chess champion

Garry Kas parov .

2 0 0 6 : Hin ton and his

students st ar ted deep

learning.

2 0 1 0 : Th e

era of big

data

came.

2014 : Microsoft

released the fi rst

indiv idual intel l igent

assistant Microsf t

Cor tana in the wor l d .

2 0 1 6 March : Alp haGo

defeated the wor ld

champion Go player Lee

Sed ol by 4-1.

2017 October: T he D e epMind team released

Alp haGo Zero, the

s tron ges t version of

Alp haGo.

Overview Teknologi AI⚫ Teknologi AI berlapis-lapis, meliputi aplikasi, algorithm, toolchain, device, chip.

Application

Algorithm

Device

Chip

Process

Tipe AI⚫ Strong AI

Mesin cerdas yang benar-benar dapat menalar dan memecahkanmasalah. Mesin seperti itu dianggap sadar dan mandiri memikirkanmasalah dan menjalankan solusi optimal untuk menemukan masalah, danmemiliki semua naluri yang sama dengan makhluk hidup, sepertikebutuhan kelangsungan hidup dan keamanan.

⚫ Weak AI

Mesin tidak dapat benar-benar bernalar dan memecahkan masalah.Mesin-mesin ini hanya terlihat cerdas, tetapi tidak memiliki kecerdasanyang nyata atau kesadaran diri.

Klasifikasi Robot Cerdas⚫ Saat ini, tidak ada definisi yang seragam tentang penelitian AI. Robot cerdas

adalah umumnya diklasifikasikan menurut empat jenis:

"Thinking like human beings": weak AI, such as Watson and AlphaGo

"Acting like human beings": weak AI, such as humanoid robot, iRobot, and Atlas of

Boston Dynamics

"Thinking rationally": strong AI (Currently, no intelligent robots of this type have

been created due to the bottleneck in brain science.)

"Acting rationally": strong AI

Ekosistem Industri AI

⚫ The four elements of AI are data, algorithm, computing power, and scenario. To meet requirements of these f our

elements, we need to combine AI with cloud computing, big data, and IoT to build an intelligent society.

Subbidang AI

AI Development Report 2020

Outline

• AI Overview

• Teknis dan Aplikasi AI

• Implementasi AI di Pendidikan

Technical Fields and Application Fields of AI

Global AI Development

White Paper 2020

Distribution of AI Application Technologies

⚫ At present, application directions of AI technologies mainly include:

Computer vision: a science of how to make computers "see"

Speech processing: a general t erm for various processing technologies

used t o research t he voicing process, statistical features of speech signals,

speech recognition, machine- based speech synthesis, and speech

perceptrion

Natural language processing (NLP) : a subject that use computer

technologies t o understand and use natural

language

AI Application Field - Smart City

Social

management

scenarios

Public service

scenarios

Industry

operation

scenarios

Individual

application

scenarios

AI +Security

protection

AI +

Transportation

AI +Energy

AI +Agriculture

AI + Building

AI +Retail

AI +Life and

entertainment

AI +Education

AI + Healthcare

AI + Government

AI + Service robot

AI Will ChangeAll Industries

• Disaster prediction improvement

• Robot teacher

• Precision cure • Abstraction

• Inspection

Public sector Education Healthcare Media Pharmacy Logistics Finance

• Safe City • Personalization • Early prevention • Real-time • Fast R&D • Routing planning • Doc process

• Intel l igent transport • Attention • Diagnosis assistance tra nslation • Precise trial • Moni tor ing • Real-time f

raud• Auto sorting prevention

• Up-sell

• Targeted medicine

Insurance

• Auto detection

• Fraud prevention

• Innovative service

Retail

• Staff-less shops

• Real-time inventory

• Precise

recommendations

Manufacturing

• Defect detection

• Industrial internet

• Predictive maintenance

Telecom

• Customer service

• Auto O&M

• Auto optimization

Agriculture

• Fertilization improvement

Remote operation

• Seeds development

Oil and gas

• Localization

• Remote maintenance

• Operation optimization

19

Outline

• AI Overview

• Teknis dan Aplikasi AI

• Implementasi AI di Pendidikan

Implementasi AI di Pendidikan

• Deteksi Kecurangan Ujian Online

• Proses Penilaian Essay Otomatis

Pandemi COVID-19

Para Pendidik di Era Pandemi

Deteksi Kecurangan Ujian Online

Kecurangan Ujian Online

Kecurangan Ujian Online (2)

Bagaimana pelaksanaan ujian online yang efektif?

• Action camera• Microphone • Web camera• Handy camera• Kombinasi?

Deteksi via Action Camera dan Handycam

Deteksi via Webcam

Deteksi via Microphone

Methodology Deteksi Kecurangan

Segment labelling

Hasil

Proses Penilaian Essay Otomatis

Waktu yang Lama dalam Menilai Essay

Peserta ujian menjawab soal

essay

Penguji menyusun soal dan

kunci jawaban

Database

Teks

Jawaban

Database

Teks Kunci

Jawaban

Text Pre-

processing

Text Pre-

processing

Word2vec

Word2vec

Membandingkan

jawaban peserta

ujian dengan kunci

jawaban

menggunakan

Kecerdasan

Artifisial

Nilai Ujian

Essay

Input

Input

Output

Input

Dokumen jawaban

TokenisasiFiltering

(stopword removal)Stemming

Text Pre-processing

Text preprocessing

Outputs

Backward Layer

Forward Layer

Inputs

… …

… 𝑥𝑡−1 𝑥𝑡 𝑥𝑡+1 …

𝑜𝑡−1 𝑜𝑡 𝑜𝑡+1

ℎ𝑡+1ℎ𝑡ℎ𝑡−1

ℎ𝑡+1ℎ𝑡ℎ𝑡−1

Classifier: Bidirectional Long Short Term Memory

Hasil

References

• HUAWEI HCIA-AI Materials

• Atoum, Y., Chen, L., Liu, A. X., Hsu, S. D., & Liu, X. (2017). Automated online exam proctoring. IEEE Transactions on Multimedia, 19(7), 1609-1624.

• Kumar, V., & Boulanger, D. (2020, October). Explainable Automated Essay Scoring: Deep Learning Really Has Pedagogical Value. In Frontiers in Education (Vol. 5, p. 186). Frontiers.

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