Track: Technology Management

Abstract

Flooding in the city of DKI Jakarta is a problem that always comes every year and always causes huge financial losses for its residents. Not only that, the problem of flooding in the capital city of Jakarta has also tarnished the good image of the city of Jakarta as the center of the government sector. The cause of flooding in the capital city of Jakarta has many factors, one of which is the relatively high rainfall rate in the city of Jakarta. The second thing that causes flooding in Jakarta is land subsidence in DKI Jakarta and one of the causes of land subsidence in DKI Jakarta is excessive groundwater extraction. Because most Jakarta residents use groundwater as a source of clean water, groundwater extraction occurs on a large scale and is almost uncontrollable. As a result of this massive groundwater extraction, the groundwater system bears a very heavy burden. One of method to achieve alternative clean water resource is rainwater harvesting. Therefore, if there is a need for alternative water resources so that they can help restore groundwater naturally and can help reduce land subsidence in DKI Jakarta. However, the community's interest in harvesting rainwater is very small. Therefore, it is necessary to know what factors influence the community's acceptance of rainwater harvesting. Primary data processing uses the Structural Equation Modeling (SEM) method to determine the relationship between the acceptance factors of rainwater harvesting.