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All Journal Teknik Sipil dan Arsitektur Syntax Literate: Jurnal Ilmiah Indonesia Rancang Bangun Syntax Idea Jurnal Teknik Sipil dan Arsitektur IJECS: Indonesian Journal of Empowerment and Community Services Devotion: Journal of Research and Community Service GANESHA: Jurnal Pengabdian Masyarakat International Journal of Social Service and Research International Journal of Science and Society (IJSOC) Sultra Civil Engineering Journal (SCiEJ) JUMATISI : Jurnal Mahasiswa Teknik Sipil Journal Of Civil Engineering And Infrastructure Technology
Suryo Handoyo
Universitas Tunas Pembangunan Surakarta (UTP)
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VALIDATION OF FLOOD INUNDATION DISTRIBUTION IN THE BORO WATERSHED USING SENTINEL-1 IMAGERY AND 1D HEC-RAS SIMULATION AGAINST FIELD OBSERVATION DATA Ardian Saputra, Bagus; Mulyandari, Erni; Handoyo, Suryo
JUMATISI: Jurnal Mahasiswa Teknik Sipil Vol 7 No 1 (2026): JUMATISI (Jurnal Mahasiswa Teknik Sipil)
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jumatisi.v7i1.10126

Abstract

Flooding is a natural disaster that poses a serious problem in many regions of Indonesia, particularly in the Boro Watershed (DAS Boro), which experiences annual inundation in several urban villages. DAS Boro is a sub-watershed of the Bengawan Solo River, located in Jebres District, Surakarta City. Therefore, accurate flood management is necessary through disaster risk mitigation efforts. This study aims to identify flood inundation using Sentinel-1 satellite imagery visualization and hydraulic analysis through 1D modeling with HEC-RAS. The method applied is the HSS Snyder method with a two-year return period, calibrated using data from the Pepe Hilir Watershed. The analysis process began with site surveys and channel dimension measurements, along with field observations, including interviews with affected residents. Surveys were conducted at 19 points representing the inundated area. The area of DAS Boro was determined through data processing using QGIS 3.14.16, measuring 1.376 km², with a two-year flood discharge of 109.41 m³/s. The results show that flood visualization using Sentinel-1 achieved an accuracy (Recall) of 100% compared to data from BPBD and DPUPR Surakarta. Meanwhile, the HEC-RAS 1D model simulation reached only a 19.29% Recall rate, indicating that remote sensing approaches are more effective in identifying flood-affected areas.
Co-Authors Ardian Saputra, Bagus Astuti, Srikanti Mega Dwi Atika Candra Yulia Daffa , Zaidan Alam I Dian Arumningsih Dian Purnamawanti Dimas Choirul Huda Erni Mulyandari Ervan , Wibowo Rachmad P Faria Ruhana Gien Fridel C P, Dendi Hamdany, Syarif Hanggar Ganara Mawandha Herman Susila Hidhayah Tolloh, Nur Kukuh Kurniawan Dwi Sungkono Kusdiman Joko Priyanto Laksono Trisnantoro Lalu Marhayani Kesuma Mashudi Mashudi Muhammad Taufik Kristianto Nur Hamzah Oktava, Rendi Ari Paska Wijayanti Perdana, Respati Febry Pratama, Chandra RA Dinasty Purnomoasri RA Dinasty Purnomoasri Rahayu Sulistiowati Rasyiid Latiif Amhudo Ratih Nilam Sari Reki Arbianto Reki Arbianto rohmad nuryanto Safii Abdullah, Taufik Shofiana, Hana Sri Suwartiningsih Sumina Sumina Sumina Sumina Taufik Safii Abdullah Teguh Yuono TEGUH YUONO, TEGUH Tiara Cika Kusuma Tri Hartanto Ufa Anita Afrilia Wahyu Prabowo Widyanto, Muh Aqill Fadia Wijayanto, Ruli Yuliman Ziliwu