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Dr Meditya Wasesa (Institut Teknologi Bandung) Indonesia

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Biography

Meditya Wasesa is an Associate Professor of Business Analytics at the School of Business and Management, Institut Teknologi Bandung. He holds a Ph.D. in Management Information Systems from the Rotterdam School of Management, Erasmus University (The Netherlands), an M.Sc. in Logistics Engineering from Duisburg-Essen University (Germany), and a B.Eng. in Mechanical Engineering from Institut Teknologi Bandung (Indonesia). His career includes international experience with organizations such as General Motors Europe, Almende BV, and the Erasmus Research Institute of Management, as well as executive, consulting, and training roles in Indonesia across sectors including logistics and transportation, e-commerce, manufacturing, petrochemicals, FMCG, energy, mining, and tourism. Within the university, he has held several leadership roles, including Chief Editor of the Asian Journal of Technology and Management (AJTM), Chairman of the International Conference on Management in Emerging Markets (ICMEM 2021), Interim Director of ITB Press, and currently serves as Internal Auditor of Institut Teknologi Bandung. His research, teaching, and professional work focus on leveraging advanced business analytics to improve operational, tactical, and strategic decision-making, and his publications have appeared in leading journals such as IEEE Access, Journal of Enterprise Information Management, Journal of Management Analytics, Resources Policy, Journal of Cleaner Production, and Decision Support Systems.

 

Location

Bandung, West Java, Indonesia

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Languges
  • English
Sustainable Development Goals
  • SDG8
  • SDG4
  • SDG12
  • SDG13
  • SDG14
Video
Subjects
  • Business & Management
  • Information Systems
  • Supply Chain Management
Subjects
  • Business & Management
  • Information Systems
  • Supply Chain Management
Universities

 

Doctor of Philosophy

Ph.D. (2017)

Rotterdam School of Management

Erasmus Universiteit Rotterdam, the Netherlands

Master of Science M.Sc. (2008) Logistics Engineering

Universitaet Duisburg-Essen, Germany

Bachelor of Engineering

ST. (2005)

Mechanical Engineering

Institut Teknologi Bandung, Indonesia

 

Research Interest/Publications

Wasesa, M., Hidayat, T., Andariesta, D. T., ... & Putro, U. S. (2026). Navigating trade policies and sustainability: a system dynamics analysis of Indonesia’s nickel supply chain. Resources Policy, 112, 105786. https://doi.org/10.1016/j.resourpol.2025.105786 SCOPUS *Q1 Journal

Prasetya, A., Wasesa, M., & Sunitiyoso, Y. (2025). How Can Business Analytics Enhance Decision-Making in Oil and Gas Surface Facilities?. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3582939 SCOPUS*Q1 Journal

Astari, A. J., Lovett, J. C., & Wasesa, M. (2025). Sustainable pathways in Indonesia's palm oil industry through historical institutionalism. World Development Sustainability, 6, 100200. https://doi.org/10.1016/j.wds.2024.100200 SCOPUS*Q1 Journal

Sudjono, S. S., Hakam, D. F., & Wasesa, M. (2025). Advancing towards indonesia's net zero emission goals: An in-depth multi-criteria decision making (MCDM) analysis of ship-loader operations in maritime transportation using interval type-2 fuzzy AHP and TOPSIS methods. Energy Reports, 14, 552-565. SCOPUS*Q1 Journal https://doi.org/10.1016/j.egyr.2025.06.014

Anisah, S., & Wasesa, M. (2025). Improving Café Reputation: Machine Learning Analytics for Predicting Customer Engagement on Google Maps. Journal of Information Systems Engineering & Business Intelligence, 11(1). SCOPUS*Q3 Journal. https://orcid.org/0009-0000-2468-3473

Ariono B, Wasesa M, Dhewanto W (2025) Revealing Building Information Modeling Adoption Factors in Indonesia: a Mixed-Methods Exploration Through Constant Comparative Method and Structural Equation Modeling Revealing Building Information Modeling Adoption Factors in Indonesia : A Mixed-Method. Engineering Management Journal. https://doi.org/10.1080/10429247.2024.2386512  SCOPUS*Q2 Journal

Wasesa M, Rizaldi A, Stam A, et al (2024) Advancing Smart Sustainable Seaports: Auction-based Truck Appointment System for Automated Container Terminal. IEEE Access. 12:116384–116397. https://doi.org/10.1109/ACCESS.2024.3445711SCOPUS *Q1 Journal

Wasesa, M., Afrianto, M. A., Ramadhan, F. I., Sunitiyoso, Y., Nuraeni, S., Putro, U. S., & Hastuti, S. (2024). Using smart card data to develop origin-destination matrix-based business analytics for bus rapid transit systems: case study of Jakarta, Indonesia. Journal of Management Analytics, 11(3), 471-494. https://doi.org/10.1080/23270012.2024.2371518 SCOPUS *Q1 Journal

Sagala P, Wasesa M, Sunitiyoso Y (2024) The Data Divide in Pharma: A Comparative Case Study of Business Analytics Capabilities Impact on Performance. IEEE Access 12:130375–130397. 10.1109/ACCESS.2024.3457762  SCOPUS *Q1 Journal

Friansa, K., Pradipta, J., Nanda, R. M., Haq, I. N.,..., Wasesa M & Leksono, E. (2024). Enhancing University Building Energy Flexibility Performance Using Reinforcement Learning Control. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3512543 SCOPUS *Q1 Journal

Kusumah, H., & Wasesa, M. (2023). Unraveling the Most Influential Determinants of Residential Segregation in Jakarta: A Spatial Agent-Based Modeling and Simulation Approach. Systems, 11(1), 20

Wasesa, M., Hidayat, T., Andariesta, D. T.,... & Putro, U. S. (2022). Economic and environmental assessments of an integrated lithium-ion battery waste recycling supply chain: A hybrid simulation approach. Journal of Cleaner Production, 379, 134625. https://doi.org/10.1016/j.jclepro.2022.134625 SCOPUS *Q1 Journal

Wasesa, M., Andariesta, D. T., Afrianto, M. A., ... & Putro, U. S. (2022). Predicting Electricity Consumption in Microgrid-Based Educational Building Using Google Trends, Google Mobility, and COVID-19 Data in the Context of COVID-19 Pandemic. IEEE Access, 10, 32255-32270. https://doi.org/10.1109/ACCESS.2022.3161654 SCOPUS *Q1 Journal

Ariono, B., Wasesa, M., & Dhewanto, W. (2022). The Drivers, Barriers, and Enablers of Building Information Modeling (BIM) Innovation in Developing Countries: Insights from Systematic Literature Review and Comparative Analysis. Buildings, 12(11), 1912. https://doi.org/10.3390/buildings12111912   SCOPUS *Q1 Journal

Andariesta, D. T., & Wasesa, M. (2022). Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach. Journal of Tourism Futures. https://doi.org/10.1108/JTF-10-2021-0239 SCOPUS *Q1 Journal

Afrianto, M. A., & Wasesa, M. (2022). The impact of tree-based machine learning models, length of training data, and quarantine search query on tourist arrival prediction’s accuracy under COVID-19 in Indonesia. Current Issues in Tourism, 25(23), 3854-3870. https://doi.org/10.1080/13683500.2022.2085079 SCOPUS *Q1 Journal

Wasesa, M., Ramadhan, F. I., Nita, A., Belgiawan, P. F., & Mayangsari, L. (2021). Impact of Overbooking Reservation Mechanism on Container Terminal’s Operational Performance and Greenhouse Gas Emissions.  Asian Journal of Shipping and Logistics, 37-2, pp.140–148. SCOPUS https://doi.org/10.1016/j.ajsl.2021.01.002 *Q1 Journal

Muhammad, A., Putro, U. S., Siallagan, M., Kyoichi, K., & Wasesa, M. (2020). System of Diagnostic Systems Framework and its Application to the Disharmony in Indonesian National Security. Systems Research and Behavioral Science, (1), pp. 1–19.   https://doi.org/10.1002/sres.2656 SCOPUS *Q2 Journal

Wasesa, M., Stam, A. & Van Heck, E., 2017. The Seaport Service Rate Prediction System: Using Drayage Truck Trajectory Data to Predict Seaport Service Rates. Decision Support Systems, 95, pp. 37-48. https://doi.org/10.1016/j.dss.2016.11.008 SCOPUS *Q1 Journal

Wasesa, M., Stam, A. & Van Heck, E., 2017. Investigating Agent-based Inter-organizational Systems and  Business  Network  Performance:  Lessons Learned from The Logistics Sector. Journal of Enterprise Information Management, 30(2), pp.226-243. https://doi.org/10.1108/JEIM-07-2015-0069 SCOPUS *Q1 Journal

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