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Meditya Wasesa
Meditya Wasesa
Assistant Professor, School of Business & Management, Institut Teknologi Bandung
Verified email at sbm-itb.ac.id - Homepage
Title
Cited by
Cited by
Year
Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach
DT Andariesta, M Wasesa
Journal of Tourism Futures, 2022
392022
The seaport service rate prediction system: Using drayage truck trajectory data to predict seaport service rates
M Wasesa, A Stam, E van Heck
Decision Support Systems 95, 37-48, 2017
362017
The Drivers, Barriers, and Enablers of Building Information Modeling (BIM) Innovation in Developing Countries: Insights from Systematic Literature Review and Comparative Analysis
B Ariono, M Wasesa, W Dhewanto
Buildings 12 (11), 1912, 2022
242022
Investigating agent-based inter-organizational systems and business network performance: Lessons learned from the logistics sector
M Wasesa, A Stam, E van Heck
Journal of Enterprise Information Management 30 (2), 226-243, 2017
122017
Yard cranes coordination schemes for automated container terminals: an agent-based approach
A Rizaldi, M Wasesa, MN Rahman
Procedia Manufacturing 4, 124-132, 2015
122015
Impact of overbooking reservation mechanism on container terminal’s operational performance and greenhouse gas emissions
M Wasesa, FI Ramadhan, A Nita, PF Belgiawan, L Mayangsari
The Asian Journal of Shipping and Logistics 37 (2), 140-148, 2021
112021
Booking prediction models for peer-to-peer accommodation listings using logistics regression, decision tree, K-nearest neighbor, and random Forest classifiers
MA Afrianto, M Wasesa
Journal of Information Systems Engineering and Business Intelligence 6 (2 …, 2020
102020
Economic and environmental assessments of an integrated lithium-ion battery waste recycling supply chain: A hybrid simulation approach
M Wasesa, T Hidayat, DT Andariesta, MG Natha, AK Attazahri, ...
Journal of Cleaner Production 379, 134625, 2022
72022
Relocating a multiple-tenants logistics center: Lesson learned from an air cargo terminal relocation project
M Wasesa, MN Rahman, A Rizaldi
Procedia Manufacturing 4, 139-145, 2015
72015
IMPROVING THE PRE-NOTIFICATION PROTOCOL OF THE CONTAINERS PICK-UP PROCEDURE-An Agent-based Approach
M Wasesa, P Nijdam, IH Muhammad, E van Heck
International Conference on Agents and Artificial Intelligence 2, 190-196, 2012
72012
Application of Predictive Analytics To Improve The Hiring Process In A Telecommunications Company
L Jayanti, M Wasesa
Jurnal CoreIT 8 (1), 32-39, 2022
52022
Predicting electricity consumption in microgrid-based educational building using Google trends, Google mobility, and COVID-19 data in the context of COVID-19 pandemic
M Wasesa, DT Andariesta, MA Afrianto, IN Haq, J Pradipta, M Siallagan, ...
IEEE Access 10, 32255-32270, 2022
52022
Data driven building electricity consumption model using support vector regression
FXN Soelami, PHK Utama, IN Haq, J Pradipta, E Leksono, M Wasesa
Journal of Engineering and Technological Sciences 53 (3), 210313, 2021
42021
SARIMA and artificial neural network models for forecasting electricity consumption of a microgrid based educational building
M Wasesa, AR Tiara, MA Afrianto, FI Ramadhan, IN Haq, J Pradipta
2020 IEEE International Conference on Industrial Engineering and Engineering …, 2020
42020
Agent-based inter-organizational systems in advanced logistics operations
M Wasesa
42017
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
MA Afrianto, M Wasesa
Current Issues in Tourism 25 (23), 3854-3870, 2022
32022
Peningkatan Kinerja Microgrid Bangunan Kampus dengan Simulasi Multi Skenario dan Analisis Sensitivitas
J Pradipta, K Friansa, IN Haq, E Leksono, H Kusumayudha, S Regita, ...
Journal of Science and Applicative Technology 5 (2), 332-341, 2021
32021
Agent-based Truck Appointment System for Containers Pick-up Time Negotiation
FI Ramadhan, M Wasesa
Indonesian Journal of Computing and Cybernetics Systems 14 (1), 81-90, 2020
32020
Unraveling the Most Influential Determinants of Residential Segregation in Jakarta: A Spatial Agent-Based Modeling and Simulation Approach
H Kusumah, M Wasesa
Systems 11 (1), 20, 2023
22023
Machine Learning Analytics For Predicting Tax Revenue Potential
RD Febriminanto, M Wasesa
Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan …, 2022
22022
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