<![CDATA[The northern coast of Java Island (locally known as Pantura) is a strategically important area, particularlyin the distribution sector. However, its topographical characteristics and proximity to the Java Sea make it vulnerableto the threat of tidal inundation. Moreover, environmental factors such as sea level rise, land subsidence, and coastalabrasion further exacerbate its susceptibility to flooding. The phenomenon of tidal inundation, locally referred to asrob, occurs when seawater overflows onto low-lying coastal areas during high tides. The rob phenomenon significantlyimpacts the socio-economic conditions of coastal communities, disrupting daily activities and damaging criticalinfrastructure. This study simulates potential inundation using a uniform Highest High Water Level (HHWL) scenarioof 1.2 meters to estimate flood depth and spatial extent. The modeling approach applies a consistent water surfaceelevation across the study area, without considering storm surge and hydrodynamics, resulting in generalizedinundation patterns. The methodology follows the Technical Guidelines for Disaster Risk Assessment issued byIndonesia’s National Disaster Management Agency (BNPB) and integrates various spatial datasets, including landcover data from Sentinel Land Cover by ESRI, topographic data from the Shuttle Radar Topography Mission (SRTM)Digital Elevation Model (DEM), and maximum tidal height data processed using the Admiralty method. The analysisshows that, assuming a Highest High Water Level of 1.2 meters, Kendal Regency, Brebes Regency, and SemarangCity are the most affected areas in terms of both flood depth and extent. The inundated areas are estimated at 3,744.91hectares in Kendal Regency, 2,880.58 hectares in Brebes Regency, and 513.17 hectares in Semarang City. Thissituation could become more severe in the event of storm surge, extreme weather, or climate anomalies if timely andeffective mitigation measures are not implemented. These findings are expected to provide a strong foundation forpolicymakers to formulate targeted, data-driven, and sustainable mitigation strategies to protect communities andinfrastructure along Java’s northern coastal region.]]>
