Sitorus, Andreas Raja Goklas (2022) Analisis Persebaran Virus Covid-19 Pada Kabin Fast Passenger Boat Dengan Menggunakan Computational Fluid Dynamics. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini bertujuan untuk menguji secara numerik pengaruh dari bukaan jendela dan pintu pada pada kabin Fast Passenger Boat terhadap persebaran partikel droplet dari satu penumpang kapal yang terinfeksi penyakit COVID-19. Kapal yang dianalisis berdimensi 12 x 3 m dengan kapasitas penumpang sebanyak 23 orang, dimana diasumsikan kapten kapal menjadi pembawa virus COVID-19. Dengan menggunakan Computational Fluid Dynamics, dapat dilihat pola aliran udara di dalam kabin kapal akibat variasi bukaan jendela dan pintu kapal. Pola persebaran partikel droplet pembawa virus COVID-19 kemudian dihubungkan dengan pola aliran udara di dalam kabin kapal. Persebaran partikel droplet air pembawa virus COVID-19 akan ditampilkan dalam bentuk pemetaan kontur. Untuk memperoleh hasil yang optimal, digunakan Reynold Averaged Navier-Stokes Equation (RANSE) dengan model turbulensi k–ϵ RNG pada penelitian ini. Hasil dari simulasi menunjukkan bahwa kabin kapal dengan pintu belakang terbuka cenderung meminimalisir jumlah penumpang yang terekspos partikel droplet pembawa virus COVID-19 dibandingkan dengan kabin kapal dengan pintu belakang tertutup. Dari hasil simulasi juga menunjukkan bahwa kabin kapal dengan jumlah bukaan jendela yang lebih banyak cenderung memiliki konsentrasi partikel droplet air yang lebih rendah dibandingkan dengan kabin kapal yang jendelanya tertutup.
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This study aims to numerically examine the effect of the windows and door openings in the cabin of the Fast Passenger Boat on the distribution of droplet particles from one passenger infected with COVID-19. The analyzed boat has dimensions of 12 x 3 m with a passenger capacity of 23 people, where it is assumed that the captain of the boat is the COVID-19 virus carrier. By using Computational Fluid Dynamics, the pattern of airflow in the boat's cabin due to variations in the boat's window and door openings is observed. The distribution pattern of the COVID-19 virus-carrying droplet particles is then linked to the airflow pattern in the boat's cabin. The distribution of water droplet particles carrying the COVID-19 virus will be displayed in the form of a contour map. To obtain optimal results, the Reynold Averaged Navier-Stokes Equation (RANSE) with the k–ϵ RNG turbulence model is used in this study. The results from the simulation show that boat cabins with open rear door tend to minimize the number of passengers exposed to COVID-19 virus-carrying droplet particles compared to boat cabins with closed rear door. The simulation results also show that boat cabins with more number of window openings tend to have lower concentrations of water droplet particles than boat cabins with closed windows.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | aliran, CFD, COVID-19 , droplet, kontur, contour, COVID-19, droplet, flow |
| Subjects: | V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
| Divisions: | Faculty of Marine Technology (MARTECH) > Naval Architecture and Shipbuilding Engineering > 36201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 11 Dec 2025 06:44 |
| Last Modified: | 11 Dec 2025 06:44 |
| URI: | http://repository.its.ac.id/id/eprint/128927 |
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