Integrated Undergraduate and Graduate (IUG) | Industrial & Manufacturing Engineering
Rico is a Schreyer Honors scholar and an Integrated Undergraduate and Graduate (IUG) student at Penn State. Currently he is pursuing his B.S. in Industrial Engineering with minors in Six Sigma and Mathematics, in addition to the dual M.S. degree in Industrial Engineering and Operations Research. Particular interest in the field of machine learning and its applications to data rich-information sparse environment led him to the Laboratory for Intelligent Systems and Analytics (LISA). Rico is expected to complete his IUG program by December 2016 with Dr. Kumara as his adviser.
Rico is a member of the Formula Society of Automotive Engineers (SAE) and Indonesian Student Association (ISA) at Penn State where he has held leadership positions. Having experience in interdisciplinary projects such as supply chain analytics and formula style race-car making, he is looking forward to solving problems that require multifaceted individuals with background in mathematical analysis.
- Big Data Analytics
- Machine Learning
- Automotive Engineering
Description of Research Projects
- Supply Chain Analytics:
Given the presence of information such as shipment route and date, there exists an expected delivery time for any parts and/or finished product delivered from one origin to its destination. To accurately forecast a shipment duration, one would need to quantify the effects of disruptions (labor strikes, natural disasters, etc.) toward shipment’s duration in addition to the available set of attributes that pertain to the shipment. A machine learning approach to tackle data-rich, information-sparse environment of a logistics system was done to generate a forecast of shipment duration from a set of categorical and quantitative variables. Integrating the predictive model to a business intelligence platform, Rico was able to present the forecast using data visualization techniques for the management in the form of dashboards.