<p>Today, the interest of the community to send their children to religious-based schools that is Maahad Tahfiz Center (MTC)) whether managed by Government (State or Federal), private individuals, nonprofit organization (NGO) or certain organizations is very high. The demand that exceeds this offer has seen the growth of MTC rapidly. This situation provides many choices and advantages to parents. However, there is anxiety among parents to choose the MTC that fulfills the features that they want. Hence modeling decision support system (DSS) in a MTC selection has been modeled using Analytical Hierarchy Process (AHP) provides the effective way for parents to select appropriate MTC. AHP is an effective tool for dealing with the complex decision making and aid the parents to set priorities and provide the best decision in selection MTC. Hopefully by using this model and future development of this model will help the parents make the best choices of MTC based on their preferences. </p>
This study aimed to determine the influence of vehicular emissions and meteorological factors on the level of surfactants in urban atmospheric aerosol from Kuala Lumpur city center, Malaysia. Aerosol samples were collected using a high-volume sampler equipped with the cascade impactor to separate fine mode (< 1.5 µm) and coarse mode (> 1.5 µm) particles. Besides, the exhaust particulate matter from various diesel and petrol vehicles was collected using a soft brush during dry weather. Colorimetric analysis was performed to determine the concentration of anionic surfactants as methylene blue active substances (MBAS), and the absorption was determined by using a UV spectrophotometer at a wavelength of 650 nm. Correlation analysis was conducted to determine the influence of vehicular emissions (NOx, SO2, CO and O3), and exhaust particulate matter on the level of surfactants. Results showed that surfactants as MBAS in fine particles showed the dominant values. Correlation analysis showed that the MBAS was positively correlated with NOx (p <0.05) and SO2 (p <0.01), and negatively correlated with O3 (p <0.01), which indicated that the traffic-related air pollutant may influence the anionic surfactants level. It is supported by the high level of MBAS in diesel exhaust particulate matter, particularly from the construction machinery, followed by lorries and buses.
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