Robotic Process Automation

1. Robotic Process Automation
Definisi, Tutorial & Studi Kasus di Korea Selatan
Bernardo Nugroho Yahya, PhD
Full Professor, Industrial & Management Engineering (IME),
Hankuk University of Foreign Studies (HUFS)
Robotic Process Automation: Contemporary themes and challenges, Computers in Industry 115 (2020)

2. Outline
01. Definisi RPA
02. Tutorial
Tutorial RPA with UI Path
(Community Version)
Mengapa RPA
Applications
Definisi
Video RPA
Suitability of RPA
Tutorial
Case Studies
Manufacturing
Banking
03. Case Studies
System Integration Company

3. Definisi RPA

4. Robotic Process Automation (RPA)
https://www.traveldoo.com/robotic-process-automation-making-expense-management-easier/?lang=en

5. Latar Belakang & Definisi
• Robotic
https://luxai.com/robot-for-teaching-children-with-autism-at-home/
https://codebots.com/artificial-intelligence/robots-and-bots-explained

6. Latar Belakang & Definisi
• Robotic Process Automation
https://amt-it.com/mengenal-robotic-process-automation-dan-manfaatnya-bagi-perusahaan/
• Robotic Process Automation (RPA) merupakan sebuah konsep
teknologi yang menggunakan robot (atau bot) untuk membantu
manusia dalam melakukan pekerjaan yang bersifat repetitif.
• RPA merupakan software yang mampu meniru aktivitas manusia di
dalam komputer dengan kecepatan dan akurasi sampai 100%.
• Tipe RPA
• Probots adalah bots yang mengikut aturan sederhana dan repetitive untuk memproses data
• Knowbots adalah bots yang surfing ke internet mengumpulkan dan menyimpan informasi yang
dispesifikasikan user.
• Chatbots adalah agen virtual yang dapat merespons permintaan customer secara real time.
Before RPA After RPA
• Tujuan RPA
• Menggantikan pekerjaan manusia dalam proses bisnis dengan software (“bots”)
• Berinteraksi dengan front-end systems sama seperti manusia

7. Mengapa RPA?
• A population decline in some countries (South Korea, Japan)
• The rising of human salary
• Prone to errors of human workers

8. Applications
• BFSI : Banking, Financial Services, and Insurance
https://www.spri.kr/posts/view/22662?code=industry_trend

9. RPA technologies
• Three main vendors

10. Tutorial

11. RPA Tutorial
• A Demo with UIPath (Community Version)
• Task:
• Access a website
• Select the proper data for data collection
• Put the data into a CSV file.
• https://www.goodreads.com/book/popular_by_date
• How long does it take to generate the file?

12. Case Studies
• https://blog.naver.com/hspnsit/221516107274

13. Suitability of RPA

14. Case Studies

15. Banking
ABC Ltd. Payroll Registration
Bob 1234-567 4.500.000
Charlie 9876-543 2.750.000
Dan 55354-22 3.567.000
AI System
Use AI to create the
data structure
XYZ Ltd. Payroll Registration
123-5674 Accounting 4.230.000
9873-542 HR Dept 2.965.000
5554-223 SCM Dept 3.422.000
HIJ Ltd. Payroll Registration
123-xxxx Manager 4.115.000
542-xxxx Supervisor 3.885.000
223-xxxx Administrator 2.912.000
ABC Ltd. Register Payroll
XYZ Ltd. Register Payroll
HIJ Ltd. Register Payroll
https://www.aitimes.kr/news/articleView.html?idxno=16601
Structured
Data for
Payroll
RPA for Payroll System
Register for
Payroll Bank
Transfer
Payroll System (RPA + AI)
RPA Data Collection

16. Manufacture
Waste Management 50 cases /day
As-Is
Issue Delivery Order
Delivery Order detail,
Issue Work-order letter
Deliver Waste (truck)
Change amount of discharged waste
from Work-Order Sheet
Data Comparison and Update
90 min
90 min
30 min
30 min
Overall time: 4 hours / day
To-Be
Issue Delivery Order
Delivery Order detail,
Issue Work-order letter
Deliver Waste (truck)
Change amount of discharged waste
from Work-Order Sheet
Data Comparison and Update
90 min
90 min
30 min
30 min
Overall time: 1 hour + 3 hours
Every waste should be scrapped in a proper place with proper
methods in accordance to the law. In addition, all the waste
should be registered due to the environmental effects

17. System Integration Company
Event
occurred
Event
Detection
Access the
system
System
Diagnosis
Send
Diagnosis
via email
Diagnosis
Result
Confirmation
Take
necessary
actions
3 years logs of event occurrence with
analysis throughout the system
Event occurred
Data Analysis
Event occurred
Data extraction
Generate
Scenario
Diagnosis
System Event
Occurrence
Bot will send the diagnosis
result after event detection
and system diagnosis
Manager confirmation and
complete the process
ERP System Real Time Risk Detection

18. Final Remark

19. THANK YOU
• Bernardo Nugroho Yahya
• Data & Business Analytics Lab
• HUFS, Republic of Korea
• bernardo (@) hufs.ac.kr
Bernardo Nugroho Yahya t.me/ps_indo