PENYUSUNAN DAN PENYAJIAN PETA ONLINE RISIKO BANJIR ROB KOTA SEMARANG

• Main Authors: , Arief Laila Nugraha, , Dr Eng. Purnama B. S., S.T., M.App.Sc.
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2013
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/119658/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=59661
• Institution: Universitas Gadjah Mada

Semarang is one of the largest cities in Java island that is very prone to tidal flood or locally known as �banjir rob�. In order to reduce the tidal flood risk, disaster managers and city planners need a well-planned natural disaster risk management method based on disaster risk map of the city area. Risk mapping alone is not enough, an efficient system to disseminate the result of risk mapping for general public is also needed. This work intends to solve a problem of arrangement and presentation of tidal flood risk mapping. In order to develop the disaster risk map, the validation and prediction of the tidal flood were done to produce a hazard map on the tidal flood. Subsequently, the maps of vulnerability and capacity of the study area were produced based upon VCA (Vulnerability Capacity Analysis) by using fuzzy logic and weighted method approaches. As a comparison to that, the calculation of tidal flood risk was also done by addopting to the regulation of The Natural Disaster Risk Management Head / Kepala Badan Penanggulangan Bencana Alam (PERKA BNPB) No. 2 year 2012. Finally, the risk map online was designed and developed. This system facilities the function of information dissemination and spatial data download of the risk map result. The result suggests that the risk for tidal flood in Semarang for the year of 2015 is 8.339,31 hectares, flooding 22,32% of the total Semarang areas in 9 sub districts of 73 community areas. From the risk assessments using VCA formulation, it can be concluded that the low risk is on 15 community areas (218,17 hectares), intermediate risk on 48 community areas (1.116,38 hectares), and high risk on another 61 areas (6.671,36 hectares). In addition to this, the research also concludes that the use of topographics map, landsubsidence map, and tide & tidal data in modeling hazard