About
Faculty Members
Education
Chemical Engineering
Regular Bachelor Program
International Bachelor Program
Magister Program
Doctoral Program
Bioprocess Engineering
Regular Bioprocess Engineering
International Bioprocess Engineering
Laboratory
Education Lab.
Basic Chemical Process Lab
Bioprocess Engineering Unit Lab
Engineering Operation Unit Lab
Research Lab.
Chemical Product Engineering Lab
Process Intensification Technology Lab
Bioprocess Technology Lab
Sustainable Energy Lab
Process Systems Engineering Lab
UPPM
Organizational Structure
Expert
Project Experience
Training Materials & Costs
Testing Laboratory
Students
Current Students
Activity
FAQ
dtk@che.ui.ac.id
+62-7863-3516
About
Faculty Members
Education
Chemical Engineering
Regular Bachelor Program
International Bachelor Program
Magister Program
Doctoral Program
Bioprocess Engineering
Regular Bioprocess Engineering
International Bioprocess Engineering
Laboratory
Education Lab.
Basic Chemical Process Lab
Bioprocess Engineering Unit Lab
Engineering Operation Unit Lab
Research Lab.
Chemical Product Engineering Lab
Process Intensification Technology Lab
Bioprocess Technology Lab
Sustainable Energy Lab
Process Systems Engineering Lab
UPPM
Organizational Structure
Expert
Project Experience
Training Materials & Costs
Testing Laboratory
Students
Current Students
Activity
FAQ
Email:
ahmad.syauqi91@ui.ac.id
Links:
Google Scholar
Ahmad Syauqi, S.T., M.T.
Ph.D. (Cand)
Education
M.T. (Chemical Engineering), Universitas Indonesia, Indonesia
Ir. (Chemical Engineering), Universitas Indonesia, Indonesia
Research interests
Digital Energy and Process
Selected Publications
Syauqi
, A.,
Lee, H.,
Nagulapati
, V. M., & Lim, H. “Accelerating EV adoption in broader income groups: Battery swapping
centers and their implications for business, customer, and government”
Sustainable Energy Technologies and Assessments
,
2025,
73
, 104147,
https://doi.org/10.1016/j.seta.2024.104147
Syauqi
, A.,
Eldi, G. P., Andika, R., & Lim, H. “Reducing data requirement for accurate photovoltaic power prediction using hybrid
machine learning-physical model on diverse dataset”
Solar Energy
, 2024,
279
, 112814,
https://doi.org/10.1016/j.solener.2024.112814
Syauqi
, A.
,
Uwitonze
, H., Chaniago, Y. D., & Lim, H. “Design and optimization of an onboard boil-off gas re-liquefaction process under
different weather-related scenarios with machine learning predictions”
Energy
, 2024,
293
, 130674,
https://doi.org/10.1016/j.energy.2024.130674
English
powered by