About SQE Lab
Discover our journey in advancing System Quality Engineering through excellence in research, education, and innovation
What is SQE Lab?
"In God We Trust, All Others Must Bring Data"
Ever wondered:
- How come YouTube recommends videos that interest me?
- How come Google Maps knows the fastest route for that day?
- How come the weather forecast is (most of the time) accurate?
- How come the elected president can be predicted using quick count?
All of these rely on data which are collected, analyzed, and transformed into insights. Data is information (in facts or numbers) collected to support better decision-making. In today's world, data is everywhere and it's becoming essential in every field.
But data alone is not enough. That's where quality comes in.
In the world of industrial engineering, quality isn't just about perfection, it's about consistency, reliability, and meeting customer expectations. Quality saves time, reduces waste, builds trust, and enables continuous improvement. With that, the SQE Lab is where students start learning how to deliver it, powered by data.
To bring these principles to life, the SQE Lab offers a variety of programs and initiatives that give students the opportunity to apply data and quality concepts in meaningful ways.
These include:
Academic Practicums
For courses related to statistics and quality
Training & Consultation
Statistics, Data Analysis, Quality Engineering, and Reliability for internal and external audiences
Engineering Research
Manufacturing, process, and service industry using statistical and data analytic-driven approaches
Non-Academic Activities
Alumni Sharing, Company Visit, Excursion, etc.
Our History
Discover our history in statistic and quality engineering.
Foundation
2008
Established in 2008 based on the Dean of Engineering Faculty Decree Number 1158/D/SK/FTUI/VIII/2008, SQE acts as a prominent laboratory within the Department of Industrial Engineering Universitas Indonesia.
Key Milestones Timeline
2008
Laboratory establishment
2010
First research publications
2015
Industry partnership programs
2020
Digital transformation initiatives
2024
Current research excellence
Vision & Mission
Our guiding principles that drive excellence in research, education, and service
Our Vision
To become Indonesia's leading statistics and quality engineering laboratory by contributing to industry development and society through various excellent learning and research activities.
Our Mission
Conduct learning activities including practicum, internal training, and assistance to support research and external activities.
Involved in grants, projects and external training as a way to contribute to the industry development and society.
Ensure the quality of researches, theses, and grants by continuously being up-to-date with the latest industrial issues related to statistics and quality engineering.
Scope of Research & Focus Areas
Our research spans across multiple domains, utilizing advanced statistical methods and quality engineering principles
Quality & Reliability Engineering
Analysis methods to ensure the goods and services produced meet the customer's standards.
Tools Example:
Applied Statistics & Data Mining
Essential frameworks to understand data. Two categories of statistical learning are supervised learning and unsupervised learning.
Business Intelligence
Strategies, techniques, and technologies to transform raw data into actionable data for business decision making.
Research Roadmap 2023-2035
GOAL: Efficiency Improvement Solutions through Data Analytics
2023-2026
Phase 1
Quality and Efficiency Improvement using Machine Learning Techniques
Methods/Tools:
Sector/Industries:
2027-2031
Phase 2
AI Integration for Efficiency and Optimization
Methods/Tools:
Sector/Industries:
2031-2035
Phase 3