Admission
Faculty Member
Meditya Wasesa
Decision Making and Strategic Negotiation (DMSN)
Expertise
Business Analytics, Information Systems, Logistics, Manufacturing Systems
2005
B.Eng. in Mechanical Engineering, Institut Teknologi Bandung, Indonesia
2007
M.Sc. in Logistics Engineering, Universitaet Duisburg Essen, Germany
2017
Ph.D. in Management Information Systems, Rotterdam School of Management, Erasmus Universiteit, the Netherlands
  • meditya.wasesa@itb.ac.id
  • meditya.wasesa@sbm-itb.ac.id
  • Ganesha ITB
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Profile

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, Journal of Cleaner Production, and Decision Support Systems.

Grants, Projects & Achievements

  • Erasmus Research Institute of Management - Ph.D. Scholarship

Publications

  • 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
  • Prasetya, A., Wasesa, M., & Sunitiyoso, Y. (2025). How Can Business Analytics Enhance Decision-Making in Oil and Gas Surface Facilities?. IEEE Access. https://ieeexplore.ieee.org/document/11050428/
  • 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. Engineering Management Journal, 37(2), 163-182. https://doi.org/10.1080/10429247.2024.2386512
  • 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). https://doi.org/10.20473/jisebi.11.1.91-102
  • 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. https://doi.org/10.1016/j.egyr.2025.06.014
  • Wasesa, M., Rizaldi, A., Stam, A., Zuidwijk, R., & Van Heck, E. (2024). Advancing Smart Sustainable Seaports: Auction-based Truck Appointment System for Automated Container Terminal. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3445711
  • 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
  • Wasesa, M. (2024). Business Analytics to Support Sustainable Community-Based Tourism: Insights from a Community Development Project in Pengudang Village, Bintan, Indonesia. In Social Decision Systems Science: Theory and Applications in Southeast Asia (pp. 117-130). Springer. https://doi.org/10.1007/978-981-97-5219-5_7
  • 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. https://doi.org/10.1109/ACCESS.2024.3457762
  • Friansa, K., Pradipta, J., Nanda, R. M., Haq, I. N., Mangkuto, R. A., Iskandar, R. F., ... 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
  • Wasesa, M., & Sateriano, F. N. (2023). Estimating Public Electric Vehicle Charging Stations Demand in Jakarta: An Agent-Based Approach. In 2023 IEEE International Conference on Agents (ICA) (pp. 19-23). Kyoto Japan. IEEE. https://doi.org/10.1109/ICA58824.2023.00013
  • Andariesta, D. T., & Wasesa, M. (2023). Machine learning models to predict the engagement level of Twitter posts: Indonesian e-commerce case study. Procedia Computer Science, 227, 823-832. https://doi.org/10.1016/j.procs.2023.10.588
  • Wasesa, M., Hidayat, T., Andariesta, D. T., Natha, M. G., Attazahri, A. K., Afrianto, M. A., ... & 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
  • Wasesa, M., Andariesta, D. T., Afrianto, M. A., Haq, I. N., Pradipta, J., Siallagan, M., ... & 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
  • 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
  • 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
  • Febriminanto, R. D., & Wasesa, M. (2022). Machine Learning Analytics for Predicting Tax Revenue Potential. Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan Publik, 7(3), 193-205. https://doi.org/10.33105/itrev.v7i3
  • 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. The Asian Journal of Shipping and Logistics, 37(2), 140-148. https://doi.org/10.1016/j.ajsl.2021.01.002
  • Muhammad, A., Putro, U. S., Siallagan, M., Kijima, K., & Wasesa, M. (2021). System of Diagnostic Systems framework and its application to the disharmony in Indonesian national security. Systems Research and Behavioral Science, 38(1), 31-49. https://doi.org/10.1002/sres.2656
  • 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, 37-48. https://doi.org/10.1016/j.dss.2016.11.008
  • 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), 226-243. https://doi.org/10.1108/JEIM-07-2015-0069

Industry & Policy Engagement

  • Awardee of Numerous Competitive Research and Community Development Grants
  • Consultancy and Training Engagements with diverse organizations, including The World Bank, Government Ministries, PT. Pupuk Indonesia, Kalbe Nutritionals, Unilever, PT. Angkasa Pura II, PT. Wijaya Karya, Bukalapak, and Gojek.