ESTIMATION OF SARS-COV-2 VIRUS QUANTITY INHALED BY PASSENGERS DURING HANDLING PROCESSES IN AN AIRPORT DEPARTURE TERMINAL

Managing disease transmission risks at airports during the COVID-19 pandemic is critical. This study develops a simulation model for passenger handling processes at Terminal 3, Departure Area, Soekarno-Hatta International Airport, focusing on security checks, immigration, and boarding lounges. The m...

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Main Author: Afifuddin, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/87124
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:87124
spelling id-itb.:871242025-01-13T14:41:07ZESTIMATION OF SARS-COV-2 VIRUS QUANTITY INHALED BY PASSENGERS DURING HANDLING PROCESSES IN AN AIRPORT DEPARTURE TERMINAL Afifuddin, Muhammad Indonesia Final Project simulation, SARS-CoV-2 transmission, airport management, passenger handling process. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/87124 Managing disease transmission risks at airports during the COVID-19 pandemic is critical. This study develops a simulation model for passenger handling processes at Terminal 3, Departure Area, Soekarno-Hatta International Airport, focusing on security checks, immigration, and boarding lounges. The model, tailored for Garuda Indonesia passengers, uses statistical distributions to simulate queuing dynamics and viral spread. Results show that factors such as the number of counters, ventilation, air purifiers, and mask-wearing policies significantly reduce SARS-CoV-2 transmission risks. External factors like passenger volume (FNP) and schedule adjustments also influence exposure. Domestic passengers inhale an average of 1.17×10?? quanta, while international passengers inhale 1.19×10?? quanta. The domestic boarding lounge is the area with the highest virus concentration, followed by the international lounge, check-in, immigration, and security checks. Masks are the most effective in mitigating risks, followed by optimizing the number of counters. Ventilation, air purifiers, and operational adjustments also contribute but have lesser impacts. This model reliably represents Garuda Indonesia's passenger handling processes at Terminal 3, enabling the estimation of virus exposure under various operational scenarios. The findings offer practical insights for improving pandemic risk management strategies in airports, ensuring safer passenger handling an reduced transmission risks. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Managing disease transmission risks at airports during the COVID-19 pandemic is critical. This study develops a simulation model for passenger handling processes at Terminal 3, Departure Area, Soekarno-Hatta International Airport, focusing on security checks, immigration, and boarding lounges. The model, tailored for Garuda Indonesia passengers, uses statistical distributions to simulate queuing dynamics and viral spread. Results show that factors such as the number of counters, ventilation, air purifiers, and mask-wearing policies significantly reduce SARS-CoV-2 transmission risks. External factors like passenger volume (FNP) and schedule adjustments also influence exposure. Domestic passengers inhale an average of 1.17×10?? quanta, while international passengers inhale 1.19×10?? quanta. The domestic boarding lounge is the area with the highest virus concentration, followed by the international lounge, check-in, immigration, and security checks. Masks are the most effective in mitigating risks, followed by optimizing the number of counters. Ventilation, air purifiers, and operational adjustments also contribute but have lesser impacts. This model reliably represents Garuda Indonesia's passenger handling processes at Terminal 3, enabling the estimation of virus exposure under various operational scenarios. The findings offer practical insights for improving pandemic risk management strategies in airports, ensuring safer passenger handling an reduced transmission risks.
format Final Project
author Afifuddin, Muhammad
spellingShingle Afifuddin, Muhammad
ESTIMATION OF SARS-COV-2 VIRUS QUANTITY INHALED BY PASSENGERS DURING HANDLING PROCESSES IN AN AIRPORT DEPARTURE TERMINAL
author_facet Afifuddin, Muhammad
author_sort Afifuddin, Muhammad
title ESTIMATION OF SARS-COV-2 VIRUS QUANTITY INHALED BY PASSENGERS DURING HANDLING PROCESSES IN AN AIRPORT DEPARTURE TERMINAL
title_short ESTIMATION OF SARS-COV-2 VIRUS QUANTITY INHALED BY PASSENGERS DURING HANDLING PROCESSES IN AN AIRPORT DEPARTURE TERMINAL
title_full ESTIMATION OF SARS-COV-2 VIRUS QUANTITY INHALED BY PASSENGERS DURING HANDLING PROCESSES IN AN AIRPORT DEPARTURE TERMINAL
title_fullStr ESTIMATION OF SARS-COV-2 VIRUS QUANTITY INHALED BY PASSENGERS DURING HANDLING PROCESSES IN AN AIRPORT DEPARTURE TERMINAL
title_full_unstemmed ESTIMATION OF SARS-COV-2 VIRUS QUANTITY INHALED BY PASSENGERS DURING HANDLING PROCESSES IN AN AIRPORT DEPARTURE TERMINAL
title_sort estimation of sars-cov-2 virus quantity inhaled by passengers during handling processes in an airport departure terminal
url https://digilib.itb.ac.id/gdl/view/87124
_version_ 1822999815883063296