Introduction to Machine Learning and it's Role during COVID-19 Pandemic

Introduction to
Machine Learning
and it’s role during Covid-19 Pandemic
Moch Ari Nasichuddin
(Machine Learning Engineer Netray.id)
Makassar, 14 Juni 2020

Work Experiences
Feb 2018 – Present
ML ENGINEER & WEB/CORE PROGRAMMER
PT Atmatech Global Informatika
Jogjakarta, Indonesia
Sept 2017 – Feb 2018
FULL STACK ENGINEER
Wonderlabs.io
Apr 2015 – Aug 2017
FULL STACK WEB DEVELOPER
Komuri Geek Garden
Education
2016 – 2018
MASTER OF INFORMATION TECHNOLOGY (M.ENG)
Universitas Gadjah Mada
2010 – 2015
BACHELOR OF INFORMATICS (S.KOM)
Universitas Islam Indonesia
Moch. Ari Nasichuddin
ML Engineer at Netray.id

Apayang akan kita diskusikan?
Mengenal Big Data,
Artificial Intelligence, dan
Machine Learning
1
Apa saja isu yang
berkembang selama
masa Pandemi Covid-19
seminggu ini?
2

Source:
ttps://www.economist.com/leaders/2017/05/0
6/the-worlds -most-valuable-resource-is-no-
longer-oil-but-data

Data Sources
Source: Machine Learning for Dummies, IBM Limited Edition
Structured
Data
Unstructured Data

Structured Data
 Sensor Data: Examples include radio frequency ID (RFID) tags, smart meters, medical devices, and
Global Positioning System (GPS) data.
 Weblog data: When servers, applications, networks, and so on operate, they capture all kinds of
data about their activity.
 Point-of-sale data: When the cashier swipes the bar code of any product that you purchase, all
that data associated with the product is generated.
 Financial Data: Many financial systems are now programmatic; they operate based on predefined
rules that automate processes.
 Weather data: Sensors to collect weather data are being deployed across towns, cities, and
regions to collect data on things like temperature, wind, barometric pressure, and precipitation.
 Click-stream data: Data is generated every time you click a link on a website. This data can be
analyzed to determine customer behavior and buying patterns.

Unstructured Data
 Document: Think of all of the text within documents, logs, survey results, and emails.
Enterprise information actually represents a large percent of the text information in the world
today.
 Social Media: This data is generated from the social media platforms, such as YouTube,
Facebook, Twitter, LinkedIn, and Flickr.
 Mobile data: This includes text messages, notes, calendar inputs, pictures, videos, and data
entered into third-party mobile applications.
 Satellite images: This includes weather data or the data that the government captures in
its satellite surveillance imagery.
 Photographs and Video: This includes security, surveillance, and traffic data.
 Radar or sonar data: This includes vehicular, meteorological, and oceanographic data.

Structured Data vs Unstructured Data
Source: https://www.oriresults.com/articles/blog-posts/whats-
hiding-in-your-unstructured-data/

Structured Data vs Unstructured Data
Source: https://www.predactica.com/blog/2018/08/29/feature-
engineering-the-secret-sauce-of-machine-learning-3/

Unstructured Data
Source: https://www.zdnet.com/article/ibm-eyes-china-south-
america-africa-and-big-data-for-2015-growth/

Virality Map
Source: https://www.talkwalker.com/blog/social-listening-virality-map-go-viral

Source: https://www.nairaland.com/3466738/artificial-intelligence-perfect-match-human

Source: https://medium.com/@jorgesleonel/artificial-intelligence-78937d8b46d4

Source: https://mc.ai/an-easy-guide-to-the-history-of-artificial-intelligence/

Artificial Intelligence
Source: https://www.javatpoint.com/subsets-of-ai

AI – ML – NLP
Source: https://devopedia.org/natural-language-processing

Machine Learning
“A computer program is said to learn from experience (E)
with respect to some class of tasks (T) and performance
measure (P), if its performance at tasks in T, as measured by
P, improves with experience E.”
(Tom Mitchell, 1997)

Machine Learning Methods
Supervised
Learning
Unsupervised
Learning
Classificatio
n
Support Vector
Machines
Naive Bayes
Neural
Networks
Regression
Linier
Regression
Logistic
Regression
Polynomial
Regression
Classification
Support Vector
Machines
Naive Bayes
Neural
Networks
Clustering
K-Means
DBSCAN
Density-based
Clustering
Topic
Modeling

Machine Learning
Source: https://data-flair.training/blogs/types-of-machine-learning-algorithms/

Supervised Learning
Source: https://www.uc.ac.id/ict/perbedaan-supervised-learning-and-unsupervised-learning/

Unsupervised Learning
Source: https://www.uc.ac.id/ict/perbedaan-supervised-learning-and-unsupervised-learning/

Machine Learning Process
Identify the data Prepare data
Select the
ML algorithm
Split data
TrainEvaluatePredictDeploy

Text Classification
Artikel Berita
Sports
Entertainment
Transportation
Category

Text Classification Type
 Binary classification: The total number of
distinct classes or categories is two in
number and any prediction can contain
either one of those classes.
 Multi-class classification: The total
number of classes is more than two, and
each prediction gives one class or category
Source: Text Analytics with Python a Practical R

Text Classification Processing
Source: Text Analytics with Python a Practical R
Prepare datasets Text normalization Feature extraction
Prepare train &
test datasets
Model training
Model testing
and evaluation
Predict Model deployment

Application of AI & Machine Learning
Source: http://www.mindmapsoft.com/mind-maps-artificial-intelligence-ai/ai-application/

Media monitoring berbasis big data,
deep learning, dan sentiment analysis
yang dapat membantu mengetahui
suatu hal yang tengah terjadi di media
sosial (twitter, facebook dan
instagram) dan media daring.netray.id

Monitoring ONLINE MEDIA
Netray memantau akun & kata kunci
Online Media
Menarik data dari Online Media
Menyajikan dalam visualisasi
interaktif dan realtime
Menyajikan report dalam
berbagai bentuk

Monitoring INSTAGRAM
Instagram
Menarik data dari Instagram
berbagai bentuk

Monitoring FACEBOOK
Netray memantau akun, page &
grup Facebook
Menarik data dari Facebook
berbagai bentuk

Monitoring TWITTER
Twitter
Menarik data dari Twitter
berbagai bentuk

Back-end
DB
Queue Crawler
Indexer
Machine
Learning
keyword
Front-end
Netray Topology

AI/ML Services
 Sentiment Analysis
 Named-entity recognition
 Category Classification
 Sex Classification by Name
 SNA

Category Classification: Method
 Naive Bayes
 SVM

Named-entity Recognition
Pengurus Besar Nahdlatul Ulama (PBNU) memperingati
hari ulang tahun yang ke-94.
Dalam pidato sambutannya, Ketua Umum PBNU Said Aqil Siroj pun ikut
bicara soal kasus Jiwasraya.
ORGANIZATION
PERSON
ORGANIZATION

Named-entity Recognition: Method
 Bidirectional LSTM-CRF
 Conditional Random Fields (CRF)

Sentiment Analysis: Method
 Naive Bayes
 SVM
 ABSA

Sex Classification by Name
REZA RAHARDIAN
SRI MULYANI
MALE
FEMALE

Sex Classification: Method
 LSTM

Kabar Covid-19
Seminggu terakhir
Apa saja isu yang
berkembang selama masa
Pandemi Covid-19
seminggu ini?

Kabar Covid-19
Seminggu terakhir
Keyword:
covid, covid-19, corona
07 Juni-13 Juni 2020

Kabar Covid-19 Seminggu Terakhir (07 Juni-13 Juni 2020)

Kabar Covid-19 Seminggu Terakhir
(07 Juni-13 Juni 2020)

INSIGHTS
 Pemberitaan terkait Covid-19 secara garis besar berbicara tentang Pemerintahan, Kesehatan, dan Keuangan.
 Berita tentang Pemerintahan berbicara penyelenggaran Pilkada ditengah merebaknya virus dan COVID-19,
tidak adanya ibadah haji pada tahun ini, dan dimulainya kebijakan PSBB Transisi. Berita tentang Kesehatan
berbicara untuk pertama kalinya dalam minggu kasus positif di Indonesia mencapai angka 1000 lebih. Berita
tentang Keuangan berbicara tentang bagaimana meningkatkan sektor ekonomi ditengah COVID-19.
 Pemerintah daerah bersiap menyelenggarakan PSBB Transisi
 Keluhan terkait PHK masih menjadi pembicaraan yang tinggi
 Khusus berita di Sulawesi Selatan, berita tentang pengambilan paksa jenazah cukup menjadi bahan
pembicaraan

Pantau isu terbaru COVID-
19 Real-time!
https://covid19.netray.id/

KESIMPULAN
 Perpaduan teknologi Pengembangan Web + Web Scraping + NLP dapat digunakan
untuk mengolah informasi tentang Covid-19
 Kombinasi Descriptive Analytics dan Predictive Analytics mampu menjadi pisau
analisis yang cukup tajam dalam menggali insights

netray.id
@arynas04
Terima Kasih
Netray ID @netrayID netrayid blog.netray.id

Introduction to Machine Learning and it's Role during COVID-19 Pandemic

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