Meditya Wasesa

12 papers Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
How Can Business Analytics Enhance Decision-Making in Oil and Gas Surface Facilities?
IEEE Access
Agung Prasetya, Meditya Wasesa, Yos Sunitiyoso
2024 J jnl
Advancing Smart Sustainable Seaports: Auction-Based Truck Appointment System for Automated Container Terminal.
IEEE Access
Meditya Wasesa, Ardian Rizaldi, Andries Stam, Rob A. Zuidwijk, Eric van Heck
2024 J jnl
Enhancing University Building Energy Flexibility Performance Using Reinforcement Learning Control.
IEEE Access
Koko Friansa, Justin Pradipta, Rezky Mahesa Nanda, Irsyad Nashirul Haq, Rizki Armanto Mangkuto, Reza Fauzi Iskandar, Meditya Wasesa, Edi Leksono
2024 J jnl
The Data Divide in Pharma: A Comparative Case Study of Business Analytics Capabilities Impact on Performance.
IEEE Access
Perdamen Sagala, Meditya Wasesa, Yos Sunitiyoso
2023 — conf
Estimating Public Electric Vehicle Charging Stations Demand in Jakarta: An Agent-Based Approach.
ICA
Meditya Wasesa, Farrel Nabil Sateriano
2023 — conf
Machine learning models to predict the engagement level of Twitter posts: Indonesian e-commerce case study.
ICCSCI
Dinda Thalia Andariesta, Meditya Wasesa
2023 J jnl
Unraveling the Most Influential Determinants of Residential Segregation in Jakarta: A Spatial Agent-Based Modeling and Simulation Approach.
Syst.
Hendra Kusumah, Meditya Wasesa
2022 J jnl
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
Meditya Wasesa, Dinda Thalia Andariesta, Mochammad Agus Afrianto, Irsyad Nashirul Haq, Justin Pradipta, Manahan Siallagan, Edi Leksono, Budi Permadi Iskandar, Utomo Sarjono Putro
2020 — conf
SARIMA and Artificial Neural Network Models for Forecasting Electricity Consumption of a Microgrid Based Educational Building.
IEEM
Meditya Wasesa, Adhya Rare Tiara, Mochammad Agus Afrianto, Fakhri Ihsan Ramadhan, Irsyad Nashirul Haq, Justin Pradipta
2017 J jnl
Investigating agent-based inter-organizational systems and business network performance: Lessons learned from the logistics sector.
J. Enterp. Inf. Manag.
Meditya Wasesa, Andries Stam, Eric van Heck
2017 J jnl
The seaport service rate prediction system: Using drayage truck trajectory data to predict seaport service rates.
Decis. Support Syst.
Meditya Wasesa, Andries Stam, Eric van Heck
2012 — conf
Improving the Pre-notification Protocol of the Containers Pick-up Procedure - An Agent-based Approach.
ICAART (2)
Meditya Wasesa, Pim Nijdam, Ismail Habib Muhammad, Eric van Heck