Abstract
Indoor air quality (IAQ) is an important consideration in building design and maintenance because it has a direct impact on occupant health, comfort, and overall happiness. Indoor air quality refers to the quality of air within buildings, which includes contaminants, temperature, humidity, and ventilation rates. Poor indoor air quality can cause a variety of health concerns, including allergies, respiratory disorders, and other acute or chronic illnesses. This study aims to summarize the relationship between indoor air quality and building occupant satisfaction. To accomplish this objective, this study used a quantitative strategy in which an online questionnaire was provided to respondents and the data acquired was analysed using mean statistical analysis. The mean statistical analysis helps to understand further how indoor air quality can lead to occupant satisfaction. This shows that problems of indoor air quality can be avoided by optimizing ventilation systems, minimizing energy consumption, and reducing pollutants. The research recommendations can contribute to creating environmentally friendly buildings and reducing carbon footprints.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
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Creators: | Creators Email / ID Num. Mahamad Nazir, Muhamad Syazani 2021482756@student.uitm.edu.my Ramly, Mohd Khairul Amri mkhairulamri@uitm.edu.my |
Contributors: | Contribution Name Email / ID Num. Chief Editor Mizal Azzmi, Norazura UNSPECIFIED Chief Editor Ahzahar, Nadira UNSPECIFIED Editor Ahmad Zawawi, Zuraihana UNSPECIFIED Editor Jamaludin, Nazhatulzalkis UNSPECIFIED Editor Hashim, Siti Zubaidah UNSPECIFIED |
Subjects: | T Technology > TH Building construction > Environmental engineering of buildings. Sanitary engineering of buildings |
Divisions: | Universiti Teknologi MARA, Perak > Seri Iskandar Campus Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying |
Journal or Publication Title: | e-Proceeding of 6th Undergraduate Seminar on Built Environment and Technology (USBET) 2023 |
Page Range: | pp. 934-945 |
Keywords: | indoor air quality, occupant satisfaction, quantitative approach, mean analysis |
Date: | 2023 |
URI: | https://ir.uitm.edu.my/id/eprint/95571 |