Setia Budi completed his academic exercise in Computer Science at the University of Tasmania, Australia.  Australia Awards Scholarships and Sense-T Elite Scholarships enabled him to get his Master and PhD qualifications. His primary research interests include optimisation problem, environmental monitoring, data science, educational data mining, and computer vision. He is also the main contributor for Indonesia Belajar, an Indonesian YouTube channel dedicated to provide learning materials related to computer science.

 

Publications

2018

Low-Cost Electronic Tagging System for Bee Monitoring (Journal Article)
Sensors (MDPI)

2018

Addressing RFID Misreadings to Better Infer Bee Hive Activity (Journal Article)
IEEE Access (IEEE)

2018

Mobile Platform Sampling for Designing Environmental Sensor Networks (Journal Article)
Environmental Monitoring and Assessment (Springer)

2017

In Search for a Robust Design of Environmental Sensor Networks (Journal Article)
Environmental Technology (Taylor and Francis)

2016

Design of Environmental Sensor Networks Using Evolutionary Algorithms (Journal Article)
Geoscience and Remote Sensing Letters (IEEE)

2015

Optimisation in the Design of Environmental Sensor Networks with Robustness Consideration (Journal Article)
Sensors (MDPI)

2018

IBAtS - Image Based Attendance System: A Low Cost Solution to Record Student Attendance in a Classroom (Conference Paper)
2018 IEEE International Symposium on Multimedia (ISM - Taiwan)

2018

FACE - Face At Classroom Environment: Dataset and Exploration (Conference Paper)
2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA - China)

2013

Multi-objective Optimization Model in Mobile Data Communication Scheduling (Conference Paper)
2013 8th International Conference on Information Technology in Asia (CITA - Malaysia)

2013

Scheduling Data Communication Based Services on the Personal Mobile Devices (Conference Paper)
15th International Conference on Enterprise Information Systems (ICEIS - France)

2018

Balancing Robustness and Redundancy in the Design of Environmental Sensor Networks (Thesis)
PhD Thesis (University of Tasmania)
Teachings
Statistics
First year undergraduate
Algorithms
First year undergraduate

Prescribed textbook: Grokking Algorithm

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Data Structure
Second year undergraduate

Prescribed textbook: Data Structures and Algorithms in Python

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Awards

2013

Sense-T Elite Scholarships
PhD Scholarship

2011

Australia Awards Scholarships
Master Scholarship
[Australia Awards] Formerly known as Australian Development Scholarships (ADS), a full scholarship funded by Australian Government

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Affiliations

2005-present

Maranatha Christian University
Lecturer

2013-2018

University of Tasmania
PhD candidate; Academic tutor

2013-2017

Commonwealth Scientific and Industrial Research Organisation
Research assistant
Professional Memberships

2018

IEEE Member
Victorian Section

IEEE Member ID: 94845913

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Courses

2019

Open Source tools for Data Science
Coursera [IBM]

On going

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2019

Python Basics
Coursera [University of Michigan]
[certificate]
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2019

Open Source Software Development Methods
Coursera [The Linux Foundation]
[certificate]
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2019

Version Control with Git
Coursera [Atlassian]
[certificate]
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2019

What is Data Science?
Coursera [IBM]
[certificate]
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2019

Introduction to Probability and Data
Coursera [Duke University]
[certificate]
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2018

Python Data Structures
Coursera [University of Michigan]
[certificate]
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2018

Programming for Everybody (Getting Started with Python)
Coursera [University of Michigan]
[certificate]
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2017

Data Science in Real Life
Coursera [Johns Hopkins University]
[certificate]
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2017

Managing Data Analysis
Coursera [Johns Hopkins University]
[certificate]
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2017

Building a Data Science Team
Coursera [Johns Hopkins University]
[certificate]
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2017

A Crash Course in Data Science
Coursera [Johns Hopkins University]
[certificate]
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Multi-objective Optimisation, Environmental Monitoring, Environmental Sensor Networks, Data Science