The Implementation of AHP and Whale Optimization Algorithm In The Selection and Optimization of Best Clean Energy Source

Main Article Content

Niklas Parlindungan Simorangkir
Aditya Tirta Pratama


Clean energy sources have become more and more important in the present time, especially with the goal to reduce the production of greenhouse gases. There are various clean energy sources available, and care must also be taken into which clean energy source is more prevalent in which location. Furthermore, with the multiple alternatives for such clean sources, a method has to be developed to choose the best one, and, if possible, have it optimized to produce the best performance. It is also good if the method developed only requires theories without any need of practical applications in real life (although this is strongly encouraged). This paper will show the utilization of a decision-making tool, namely the analytic hierarchy process, to decide the best energy source and which components are important and then conducts the optimization process through whale optimization algorithm. The research will then conclude with the best energy source chosen in its optimized state. It is hoped that this research will open a gateway into determining which energy sources to use digitally without any recourse to incurring costs on its way.

Article Details

How to Cite
Simorangkir, N. P., & Pratama, A. T. (2023). The Implementation of AHP and Whale Optimization Algorithm In The Selection and Optimization of Best Clean Energy Source. Journal of Emerging Supply Chain, Clean Energy, and Process Engineering, 2(2), 131–144.
Author Biography

Aditya Tirta Pratama, Department of Industrial Engineering, Faculty of Engineering and Information Technology, Swiss German University

Dr. Eng. Aditya Tirta Pratama, S.Si, MT, obtained his bachelor’s and master’s degree from the University of Indonesia and earned his doctoral degree from the Department of System Cybernetics, Hiroshima University, Japan.

He started his career as a member of the Faculty of Engineering and Information Technology at Swiss German University in 2005, and has been assigned as Head of the Department of Industrial Engineering since January 2022. His recent activities include research and community services in digital competence development and Industrial Internet of Things (IIoT).