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Journal : Jurnal Logistik Indonesia

Location Design of GIS-Based Temporary Evacuation Sites (TES) by Considering the COVID-19 Pandemic Situation: A Case Study in Padang City) Liperda, Rahmad Inca; Sukarno, Iwan; Yenda, Natasha Utami Syave
Jurnal Logistik Indonesia Vol. 7 No. 1: April 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v7i1.3265

Abstract

Padang City is an area that is predicted to occur in the Mentawai Megathrust disaster. In dealing with these potential disasters, proper planning is needed to reduce the impact of disasters. The exact location of the Temporary Evacuation Sites (TES) will affect the safety level of the community. However, based on the current situation, the COVID-19 pandemic adds to the complexity of disaster management. Therefore, anticipatory steps are needed to prevent the spread of disease in the environment. This study aims to design a TES location-allocation to deal with the potential Mentawai Megathrust disaster in Padang City by adjust to physical distancing health protocols. Determination of the location-allocation in this study is using Network Analysis extension namely Maximum Capacitated Location Problem (MCLP) in Geographic Information Systems (GIS). In addition, this study uses an evacuation time scenario with an interval of 3-30 minutes consisting of two different scenarios involving the use of community response times to disasters. The location-allocation results consist of four results based on the scenario of evacuation time and the addition of Proposed TES. Based on the location-allocation results, with the addition of Proposed TES, the maximum number of people that can be accommodated is only around 34-39 percent in both evacuation scenarios. This shows that there is a need for further design related to both Existing TES and Proposed TES so that the percentage of the number of people who can be accommodated can increase.
Analysis of Patient Flows Using Discrete-Event Simulation (Case Study: Emergency Department of Hospital X) Liperda, Rahmad Inca
Jurnal Logistik Indonesia Vol. 6 No. 2: Oktober 2022
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v6i2.2683

Abstract

This research is intended to analyze the patient flows through a number of processes in the Emergency Department (ED) using Discrete Event Simulation (DES) approach. In this paper, the time that a patient spends in the ED as well as the total number of patients served by the ED in a day were investigated and compared with the standard of the medical service time set by the hospital. A case study of Hospital X’s ED in Jakarta, Indonesia was modeled using ProModel software. In addition, this research also proposes a number of considerable scenarios for defining the suitable number of beds and nurses. The results signify that the average time spent in the ED and the number of patients served can be optimized by adding 1 nurse and 2 beds. This finding signifies that the DES modeling approach may assist the hospital managers with the decent decision for improving the efficiency of the patient flows in the ED.
Enhancing Post-Disaster Mapping Assessment: Agent-Based Simulation Modeling Integrating Ground Vehicles and Drones (Case Study: Mount Merapi's Volcanic Eruption) Liperda, Rahmad Inca; Rinaldy, Ravi Prananda; Redi, Anak Agung Ngurah Perwira; Asih, Anna Maria Sri; Sopha, Bertha Maya
Jurnal Logistik Indonesia Vol. 7 No. 2: Oktober 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v7i2.3463

Abstract

This research presents an agent-based simulation model for post-disaster location mapping, considering land vehicles and drones along with access road availability and depot locations. The study examines the impact of bridge facility damage on depot selection and time indicators. Results reveal that damage to bridge facilities affects depots differently based on their location, leading to increased total processing and completion times due to interactions between land vehicles and bridges. Depot 7 emerges as the optimal location for undamaged and KRB II and III damage scenarios based on total processing time. Depot 3 performs best for KRB III damage, while Depot 8 exhibits the shortest completion time across all scenarios. These findings emphasize the importance of selecting depots with resilient road access and alternative routes, improving post-disaster logistics efficiency.