This study is on monitoring program for urban Stormwater Management Manual for Malaysia (MSMA) and Eco-Hydrological in Kuala Lumpur, Malaysia. The rainwater was harvested and evaluated on the basis of three major parameters; Electric Conductivity, Dissolved Oxygen, pH, and indoor temperature. These parameters has been analyzed and compared with the National Water Quality Standards and Water Quality Index provided by the Department of Environment of Malaysia. This paper also analyzed the effect of using vegetated roofs on the pH value of rainwater using the adaptive neuro-fuzzy methodology, which simulates the rainwater quality parameter with adaptive neuro-fuzzy inference system (ANFIS). The performance of proposed system is consolidated by simulation results. The study revealed that the ANFIS model can be used to determine rainwater quality parameter with high reliability. For that reason, it can be connected for reasonable purposes. Meanwhile, the influence of green roof in reducing indoor temperature is very important.