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MEDITYA WASESA

Institut Teknologi Bandung S2 - Administrasi Bisnis SINTA ID : 6706255
805
SINTA Score Overall
463
SINTA Score 3Yr
805
Affil Score
463
Affil Score 3Yr
Latest number of publications
  Scopus Analysis  

Machine learning models to predict the engagement level of Twitter posts: Indonesian e-commerce case study
Q2 as Conference Proceedin Procedia Computer Science
Author Order : 2 of 2     Creator : Andariesta D.T.
2023 0 cited
Estimating Public Electric Vehicle Charging Stations Demand in Jakarta: An Agent-Based Approach
no-Q as Conference Proceedin Proceedings - 2023 IEEE International Conference on Agents, ICA 2023
Author Order : 1 of 2     Creator : Wasesa M.
2023 0 cited
Enhancing HVAC Electricity Load Prediction Accuracy using Bi-LSTM Method based on Daily Dataset
no-Q as Conference Proceedin Proceedings of the 2023 International Conference on Instrumentation, Control, and Automation, ICA 20
Author Order : 5 of 6     Creator : Friansa K.
2023 0 cited
Business Survival Strategy during COVID-19 Pandemic: A Case Study of Kopontren
Q2 as Journal Grey Journal
Author Order : 5 of 5     Creator : Ariatin A.
2023 0 cited
Unraveling the Most Influential Determinants of Residential Segregation in Jakarta: A Spatial Agent-Based Modeling and Simulation Approach
Q3 as Journal Systems
Author Order : 2 of 2     Creator : Kusumah H.
2023 2 cited
The Drivers, Barriers, and Enablers of Building Information Modeling (BIM) Innovation in Developing Countries: Insights from Systematic Literature Review and Comparative Analysis
Q1 as Journal Buildings
Author Order : 2 of 3     Creator : Ariono B.
2022 11 cited
Economic and environmental assessments of an integrated lithium-ion battery waste recycling supply chain: A hybrid simulation approach
Q1 as Journal Journal of Cleaner Production
Author Order : 1 of 9     Creator : Wasesa M.
2022 11 cited
Predicting Electricity Consumption in Microgrid-Based Educational Building Using Google Trends, Google Mobility, and COVID-19 Data in the Context of COVID-19 Pandemic
Q1 as Journal IEEE Access
Author Order : 1 of 9     Creator : Wasesa M.
2022 4 cited
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
Q1 as Journal Current Issues in Tourism
Author Order : 2 of 2     Creator : Afrianto M.A.
2022 1 cited
Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach
Q1 as Journal Journal of Tourism Futures
Author Order : 2 of 2     Creator : Andariesta D.T.
2022 20 cited
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Summary

Article Quartile
Research Output
  Scopus GScholar WOS
Article 24 56 16
Citation 114 232 78
Cited Document 16 29 14
H-Index 7 8 5
i10-Index 4 8 2
G-Index 1 1 2
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