Dhanan UtomoPhD student
I am a PhD student in Management Science Department, Lancaster University Management School. My specialization is in computer modelling and simulation. Previously, I worked in various organisations including as a lecturer in Institut Teknologi Bandung, and as an expert in Indonesian Presidential Office. I took part in many research funded by various international bodies such as The British Council, Japan Society for the Promotion of Science (JSPS) and Asian Office of Aerospace Research and Development (AOARD). I also did several consultation projects including for PT Pertamina EP (Oil company), Indonesian Bank (central bank), Indonesian ministry of agriculture and PT TELKOM (Telecommunication company). I received my Masters’ degree in Management Science from Institut Teknologi Bandung (Indonesia), submitting a dissertation on the application of Agent-based simulation for school choice policy. Now I am developing data collection methodologies for agent-based computer simulation. During my PhD, I also undertake teaching role and become a mentor in Math and Stats Help Center.
Comparing the Benefits of Scenario Based Questionnaire and Role Playing Game to Calibrate Decision Rules in Agent-Based Simulation
My research focuses on agent-based computer simulation methodology (ABS). ABS model how behaviours of many individuals will eventually affect the system's macroscopic behaviours. Thus, ABS allows us to make behavioural interventions that may lead to more desirable outcomes e.g., higher productivity, effectiveness and efficiency. However, deriving model of behaviour based on empirical data is still a challenge in ABS methodology itself. To provide more insights on this issue, I examine how different data collection methods may lead to different models of behaviour and discuss their effects on ABS validity using a case of agri-food (i.e., dairy) supply chain.
In my research first I propose steps to develop a scenario-based questionnaire and a role-playing game as data collection instruments for ABS. I then calibrate an ABS using behavioural models derived from these two approaches. After comparing the final models' validity, I discuss the benefits and drawbacks of each data collection method.
My research interests are in computer simulation and modelling areas i.e. system dynamics and agent-based simulation. I also interested in the application of computer simulation and modelling e.g. in agriculture, public sector, environment, telecommunication and politics.
- MSCI103: Introduction to Management Science / Operational Research
- MSCI212: Statistical Methods for Business
- MSCI242: Spreadsheet Modelling for Management
- MNGT599: Information Technology
- MA in Human Resources & Consulting: Quantitative and Survey Research Methods
- Studentship from Lancaster University Management School (2014)
- The British Council Travel Grant (2014)
- Decentralized Research Grant from Directorate General of Higher Education Indonesia (2014)
- Studentship in Southern Africa Young Scientist Summer Program from South African National Research Foundation (NRF) and International Institute for Applied Systems Analysis (IIASA) (2013)
- Tropical Flagship Program on REDD+ Policies from International Institute for Applied Systems Analysis (IIASA) (2013)
- Joint Research Project in Social Systems Science and Engineering from Japan Society for the Promotion of Science (JSPS) (2013)
- ITB Research and Innovation Grant from Institut Teknologi Bandung (2012)
- ITB Research and Innovation Grant from Institut Teknologi Bandung (2011)
- DGHE National Strategic Research Grant from Directorate General of Higher Education Indonesia (2010)
- Research Grant from Asian Office of Aerospace Research and Development (2010)
- DGHE Competitive Research Grant Based on National Priority from Directorate General of Higher Education Indonesia (2009)
- ITB Research Group Grant from Institut Teknologi Bandung (2009)
- DGHE Post-Graduate Research Grant from Directorate General of Higher Education Indonesia (2008)
Supporting Decision Making for a Republic Under a Complex System
Mangkusubroto, K., Utomo, D., Ramadhani, D. 28/05/2016 In: Systems Science for Complex Policy Making. Tokyo : Springer p. 1-16. 16 p. ISBN: 9784431552727. Electronic ISBN: 9784431552734.
Deductive and inductive data collection for agent-based modelling: A Comparative Study using a Dairy Supply Chain Case
Utomo, D., Onggo, B.S.S., Eldridge, S. 2016
Achieving Sustainable and Self-Sufficient Food Security in the Indonesian's Beef Industry: Policy Planning and Analysis using Agent Based Modelling
Putro, U.S., Onggo, B.S.S., Utomo, D. 2014 In: Proceedings of the National Seminar on System Analysis Approach to Support Sustainable Agriculture. Indonesian Agency for Agriculture Research and Development p. 8-22. 15 p. ISBN: 9786021280171.
Analyzing Co-Creation Process in Cluster Industry using Agent-Based Simulation, Case Study: Cluster Industry Batik Solo
Putro, U.S., Hermawan, P., Utomo, D., Nuraeni, S., Ariyanto, K. 2013 In: Jurnal Manajemen Teknologi. 12, 1, p. 102-114. 13 p.
Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation
Sianipar, C.P.M., Utomo, D., Nuraeni, S., Sunitiyoso, Y., Putro, U.S. 3/12/2012 In: Procedia Social and Behavioral Sciences. 65, p. 64-69. 6 p.
Agent-Based Simulation of School Choice in Bandung, Indonesia: The Emergence of Enrolment Pattern Trough Individual Preferences
Utomo, D., Putro, U.S., Hermawan, P. 2012 In: Asian Journal of Technology Management. 2, 1
Developing strategic initiatives through Triple Helix interactions: systems modelling for policy development
Sunitiyoso, Y., Wicaksono, A., Utomo, D., Putro, U.S., Mangkusubroto, K. 2012 In: Procedia Social and Behavioral Sciences. 52, p. 140-149. 10 p.