Journal of Data Science Theory and Application
Vol. 3 No. 1 (2024): JASTA

RANCANGAN SISTEM DINAMIS PERENCANAAN PENYEDIAAN DAN KONSUMSI BAHAN BAKAR MINYAK

Rohmatulloh Muhamad Ikhsanuddin (Unknown)
Alfiyanto, Muhammad Annas (Unknown)



Article Info

Publish Date
02 Apr 2024

Abstract

The supply and consumption of fuel oil (BBM) is a crucial aspect in the global energy framework that affects the economy, environment and sustainability. In the era of climate change, the focus on energy sustainability drives this research to evaluate environmental impacts and efforts to reduce dependence on fuel. This research aims to predict future fuel supply and consumption. The model used in this research is a dynamic system model. The simulation results show that fuel supply and consumption will continue to increase until 2038. By exploring the relationships between variables in this system, it is hoped that this research can provide strategic insights for policy makers, industry and academics to design sustainable solutions, encourage innovation and face challenges. faced by future fuel supply and consumption.

Copyrights © 2024






Journal Info

Abbrev

ijasta

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Social Sciences

Description

Journal of Data Science Theory and Application is an open-access scientific journal intended to bring together researchers and practitioners dealing with the general field of computing, including but is not limited to the following topics:Tools and Applications in Data Science, Theoretical in Data ...