Vol.13, No.1, February 2024.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

TEM Journal

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

Optimization of Algorithms and Models in Two Scenarios for Picking up-Dropping off Disaster Victims in Islands Cities

Muhammad Muhammad, Hajjul Kamil, Muhammad Adlim, Irwandi Irwandi

© 2024 Hajjul Kamil, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

Citation Information: TEM Journal. Volume 13, Issue 1, Pages 177-184, ISSN 2217-8309, DOI: 10.18421/TEM131-18, February 2024.

Received: 05 October 2023.

Revised:   16 January 2024.
Accepted: 24 January 2024.
Published: 27 February 2024.

Abstract:

Earthquakes in the past have caused significant damage, injuries, and deaths. The remaining resources do not equal the amount needed. For this reason, effective and efficient disaster management methods are needed. Learning from recent research that describes how they optimize the coordination function of hospital systems to overcome the imbalance between need and care capacity, we add the bed occupancy ratio (BOR) of healthcare facilities to the modeling. This paper aims to provide information about the distribution mechanism for injured victims by minimizing the total time to arrive at the healthcare facility. This victim evacuation modeling uses the integer linear programming method with two scenarios. Simulations were carried out on 164 injured victims, estimated by residents who live in areas that cross the Great Sumatran fault. The results show that the second scenario, which involves distributing it to the nearest healthcare facility, is 3.6 hours shorter compared to taking it to the general hospital in the first scenario.

Keywords –PickingUp-dropping off, disaster victims, island cities.

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