Lab Roles and History

SEMS Lab is responsible to develop knowledge and skill in model thinking and system thinking for IEUI graduates, through education, research and advocacy, by the use of multi-modeling approaches and technology, in order to design and deliver a better engineered system.

SEMS is aiming to be the go to  research lab in Indonesia  for developing solution models for complex systemic problems using single and multi-method simulation approach. We provide this professional services equipped with unparalleled in depth knowledge in modeling and simulation analysis.

Our History

SEMS was established as Systems Modeling Lab as one of the first laboratories at the birth of  Industrial Engineering Department in the Faculty of Engineering, University of Indonesia, in 1998. Focusing first at discrete event modeling and heuristics optimization, we are growing to more diverse areas of simulation and modeling world.

Started with just a number of computers and located on 2nd floor of the Industrial Engineering’s administration building in the year 2000, we are now occupying more spacious room L301 and L302 at the 3rd Floor of the Industrial Engineering Laboratory Building. The lab is now next to a modern and state of the art, Ergonomic Center of the Human Factors Laboratory.

Our Logo

To give a sense of ownership and identity to our lab members, we decided to develop a logo which we would like it to be simple. (because: Simplicity is the ultimate sophistication, leonardo da vinci)

After so many debates, drafts, draughts, delays, deadlock and all other “d”s, finally iron hand is deployed by the head of lab, Mr Akhmad, to use his design.

SEMS IEUI

SEMS Lab Logo

The logo is explained:

  • circle represents the world, circles represent multiple realities of the worlds or “virtual worlds”. In modeling we create virtual world in order to solve problems, whether it is simulation or mathematical optimization model.
  • the circles represents cycles, a perfect cycles, we believe everything is already interconnected and the connection will create cycles of feedback loops
  • the circle represents a whole, which where we should start to see the problems when we use systems approach to solve it
  • the circles are getting bigger to highlight the snowballing effects we are commonly found in reinforcing loops, the curvature of the circles is the representation of behavior-overtime graph which shows the dynamics of the system
  • the simple black and white color, represents simplicity, which is the ultimate sophistication to achieve. the black and white thinking is the false dichotomy of assuming anything not good is evil and vice versa we remind ourselves, that no such true dichotomy exist