MODEL DEVELOPMENT OF THE ROOM ACOUSTICS CONDITION IN INTENSIVE CARE UNIT FOR ANALYZING SOUNDSCAPE

A hospital Intensive Care Unit (ICU) is designed to treat critically ill patients who need special care and treatment. Noise in ICUs had been studied in various countries because noise has physiologic, cardiovascular effect, and long-term effect on hearing. Therefore, the method applied to reduce th...

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Main Author: MUQOWI, EKI
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/26885
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:26885
spelling id-itb.:268852018-01-18T09:50:52ZMODEL DEVELOPMENT OF THE ROOM ACOUSTICS CONDITION IN INTENSIVE CARE UNIT FOR ANALYZING SOUNDSCAPE MUQOWI, EKI Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/26885 A hospital Intensive Care Unit (ICU) is designed to treat critically ill patients who need special care and treatment. Noise in ICUs had been studied in various countries because noise has physiologic, cardiovascular effect, and long-term effect on hearing. Therefore, the method applied to reduce the noise level had been studied prosedurally and structurally modification. Soundscape analysis using simulator or survey measurement to define how large the contribution of various sources lead to noisy condition. From that analysis, noise control technique can be determined. <br /> <br /> <br /> The aims of this study were to develop the room acoustics model of ICU for analyze noise control techniques of the room model according with the actual condition in terms of size, material building, object, and sound source types. The preliminary survey of ICU’s noise indicates the sound emitted by ventilator and monitor instruments being the most disruptive for nurses. Thus, the both of sources as the limitation study was used in the room model. Therefore, directivity sources should be measured as an input data for validation process of the room model. Optimization of absorption coefficient materials is also need to be calculated due to the complex physical phenomena in actual condition with Genetic Algoritm (GA) method. <br /> <br /> <br /> There are three results of this study, the first result showed that the actual direction factor or directivity of the target sources, i.e. non-omni direction have higher acuracy than omni direction source toward measurement result as reference. While the room model validation with optimization process regarding to level noise parameter was not significantly affect. Finally, noise control technique with micro-perforated panel (MPP) absorber model was applied to improve the acoustic environment of room model in term of sound pressure level. MPPs was designed at low, mid, and high frequency as a model absorber. The result showed that MPP can significantly reducing the noise level corresponding to that target frequency. 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 A hospital Intensive Care Unit (ICU) is designed to treat critically ill patients who need special care and treatment. Noise in ICUs had been studied in various countries because noise has physiologic, cardiovascular effect, and long-term effect on hearing. Therefore, the method applied to reduce the noise level had been studied prosedurally and structurally modification. Soundscape analysis using simulator or survey measurement to define how large the contribution of various sources lead to noisy condition. From that analysis, noise control technique can be determined. <br /> <br /> <br /> The aims of this study were to develop the room acoustics model of ICU for analyze noise control techniques of the room model according with the actual condition in terms of size, material building, object, and sound source types. The preliminary survey of ICU’s noise indicates the sound emitted by ventilator and monitor instruments being the most disruptive for nurses. Thus, the both of sources as the limitation study was used in the room model. Therefore, directivity sources should be measured as an input data for validation process of the room model. Optimization of absorption coefficient materials is also need to be calculated due to the complex physical phenomena in actual condition with Genetic Algoritm (GA) method. <br /> <br /> <br /> There are three results of this study, the first result showed that the actual direction factor or directivity of the target sources, i.e. non-omni direction have higher acuracy than omni direction source toward measurement result as reference. While the room model validation with optimization process regarding to level noise parameter was not significantly affect. Finally, noise control technique with micro-perforated panel (MPP) absorber model was applied to improve the acoustic environment of room model in term of sound pressure level. MPPs was designed at low, mid, and high frequency as a model absorber. The result showed that MPP can significantly reducing the noise level corresponding to that target frequency.
format Theses
author MUQOWI, EKI
spellingShingle MUQOWI, EKI
MODEL DEVELOPMENT OF THE ROOM ACOUSTICS CONDITION IN INTENSIVE CARE UNIT FOR ANALYZING SOUNDSCAPE
author_facet MUQOWI, EKI
author_sort MUQOWI, EKI
title MODEL DEVELOPMENT OF THE ROOM ACOUSTICS CONDITION IN INTENSIVE CARE UNIT FOR ANALYZING SOUNDSCAPE
title_short MODEL DEVELOPMENT OF THE ROOM ACOUSTICS CONDITION IN INTENSIVE CARE UNIT FOR ANALYZING SOUNDSCAPE
title_full MODEL DEVELOPMENT OF THE ROOM ACOUSTICS CONDITION IN INTENSIVE CARE UNIT FOR ANALYZING SOUNDSCAPE
title_fullStr MODEL DEVELOPMENT OF THE ROOM ACOUSTICS CONDITION IN INTENSIVE CARE UNIT FOR ANALYZING SOUNDSCAPE
title_full_unstemmed MODEL DEVELOPMENT OF THE ROOM ACOUSTICS CONDITION IN INTENSIVE CARE UNIT FOR ANALYZING SOUNDSCAPE
title_sort model development of the room acoustics condition in intensive care unit for analyzing soundscape
url https://digilib.itb.ac.id/gdl/view/26885
_version_ 1822922067224297472