Indicators of Index for Polder Services use Partial Least Square and Personal Component Analysis Method

Abstract

Every year downstream area such DKI Jakarta city suffers from flood and it could disturb the economic life. High sea level, increasing number of rains, land subsidence, and conversion land use into built up area around upstream caused some damage flood in downstream area. To minimize the impact, the government of DKI Jakarta Province already constructed 36 polders system since 1973 and 11 polders planned to construct. Some of those polders have retention pond and other components to support the system. Those built up polders needs routine maintenance according to its budget in order to keep its function. Guideline to allocate budget for each polder’s yearly maintenance not yet available. This research analyses indicators that give impacts to polder’s services by using PLS and PCA Method, which based on 160 samples of questionnaire and result of site survey. As an object of this research, 8 polders in DKI Jakarta which have retention pond, pumps, water gate and trash rack are chosen. They are Polder Grogol, Polder Teluk Gong, Polder Melati, Polder West Setiabudi, Polder Pulomas, Polder Tomang, Polder North Sunter and Polder South Sunter. As a result, there are 23 indicators that affected in service index of polder system.