Service Index Indicator of Polder System with Retention Pond using PCA Method
Dina Noviadriana1, Ussy Andawayanti2, Pitojo Tri Juwono3, Dian Sisinggih4
1Dina Niviadriana, Doctoral Program on the Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia.
2Ussy Andawayanti, Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia.
3Pitojo Tri Juwono, Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia.
4Dian Sisinggih, Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia.
Manuscript received on 13 August 2019. | Revised Manuscript received on 17 August 2019. | Manuscript published on 30 September 2019. | PP: 7577-7583 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6159098319/2019©BEIESP | DOI: 10.35940/ijrte.C6159.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Indonesia as an archipelago country with 2nd longest coastal line in the world mostly has routine disaster such as flood. Jakarta as capital and economic center of Indonesia has flooding problem every year. To minimalize the impact, the government of DKI Jakarta already constructed 36 polder systems since 1973. In the future there are 11 polders planned to construct. Those 36 built up polders need maintenance to keep its function. Budgeting system of polder’s maintenance cost not yet available, so to allocating budget for polder’s maintenance based on previous amount and it found ineffective. This research analyzes indicators that can be used for indexing the service of polders as an initial research. As an object of this research, 8 polders in DKI Jakarta are chosen, they are Polder Grogol, Polder Teluk Gong, Polder Melati, Polder West Setiabudi, Polder South Sunter, Polder Tomang, Polder North Sunter, and Polder Pulomas. Probably indicator affecting polder’s capacity analyze using Principal Component Analysis (PCA) and resulted there are 24 indicators that can be used for analyzing polder system service level. Those indicators are separated into 2 aspects, technical and non-technical aspects.
Keywords: Polder, Indicator, Service Index, Retention Pond.
Scope of the Article: Service-Centric Software Engineerin