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 | 40 | 2022 |
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 | 36 | 2017 |
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 | 27 | 2022 |
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 | 12 | 2022 |
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 | 12 | 2017 |
Yard cranes coordination schemes for automated container terminals: an agent-based approach A Rizaldi, M Wasesa, MN Rahman Procedia Manufacturing 4, 124-132, 2015 | 12 | 2015 |
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 | 11 | 2021 |
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 | 10 | 2020 |
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 | 8 | 2022 |
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 | 8 | 2015 |
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 | 7 | 2012 |
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 | 6 | 2021 |
Application of Predictive Analytics To Improve The Hiring Process In A Telecommunications Company L Jayanti, M Wasesa Jurnal CoreIT 8 (1), 32-39, 2022 | 5 | 2022 |
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 | 4 | 2023 |
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 | 4 | 2021 |
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 | 4 | 2020 |
Agent-based inter-organizational systems in advanced logistics operations M Wasesa | 4 | 2017 |
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 | 3 | 2022 |
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 | 3 | 2020 |
Enhancing HVAC Electricity Load Prediction Accuracy using Bi-LSTM Method based on Daily Dataset K Friansa, J Pradipta, IN Haq, PHK Utama, M Wasesa, E Leksono 2023 8th International Conference on Instrumentation, Control, and …, 2023 | 2 | 2023 |