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All Journal RESWARA: Jurnal Riset Ilmu Teknik
Dina P. A. Hidayat
Department of Civil Engineering and Planning, Universitas Trisakti, Jakarta, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Assessment of USLE-Based Sediment Yield Estimation Using Rainfall Correction Scenarios and Empirical Rainfall Erosivity Equations in Ciputat Sub-watershed, Indonesia Taufik Ramadhan; Dina P. A. Hidayat
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.762

Abstract

Sedimentation is one of the major challenges in watershed management, and its estimation is strongly influenced by rainfall data quality and the selection of rainfall erosivity equations in the Universal Soil Loss Equation (USLE) method. This study aimed to compare sediment yield estimates obtained from different rainfall data scenarios and empirical rainfall erosivity equations with field measurements in the Ciputat Sub-watershed, South Tangerang City, Indonesia. Sediment yield was estimated using the USLE combined with the Sediment Delivery Ratio (SDR) and validated using stream discharge and Total Suspended Solids (TSS) data. Model performance was evaluated using the Root Mean Square Error (RMSE) and Nash–Sutcliffe Efficiency (NSE) indices. The results revealed that the original BMKG rainfall data without imputation achieved better agreement with field measurements than all rainfall data correction scenarios, indicating that rainfall data imputation does not necessarily improve the reliability of sediment yield estimation. Furthermore, among the empirical rainfall erosivity equations evaluated, the Abdurachman equation provided the closest agreement with field observations, yielding the lowest RMSE (0.916) and the highest NSE (0.375). In addition, the modeled sediment load was classified as Very Low, consistent with the field measurements, while the Erosion Hazard Level (EHL) was classified as Very Slight. These findings demonstrate that both rainfall data quality and the selection of empirical rainfall erosivity equations compatible with watershed characteristics are critical for improving the reliability of USLE-based sediment yield estimation.
Assessment of Land Use Change Impacts on Design Flood Discharge in the Cakung Watershed Using Hydrological Modeling Handika Putrawan; Dina P. A. Hidayat
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.763

Abstract

Land use land cover (LULC) change driven by urbanization in the Cakung Watershed, Jakarta, has significantly increased peak flood discharge. This study employed a quantitative approach using secondary data. LULC classification used the Random Forest algorithm in ArcGIS, applied to Landsat 5 and Landsat 8 Level 2 imagery, and the hydrological model was calibrated and validated using observed streamflow data. The watershed was divided into four sub-watersheds: Cakung Hulu–BKT, Buaran–BKT, Jatikramat–BKT, and Cakung Hilir. The study aimed to calibrate and validate the HEC-HMS model and to determine the effect of LULC change on flood discharge in the Cakung Watershed. The HEC-HMS simulation performed excellently during calibration (7 January 2024) and the first validation (11 April 2024), yielding NSE of 0.842–0.892, RSR of 0.30–0.40, and PBIAS of −1.06% to −0.78%. The second validation (4 August 2024) declined to a satisfactory level (NSE = 0.595, RSR = 0.60, PBIAS = −10.75%), yet the parameters remained reliable. LULC changes during 2000–2024 increased CN by 1%–4% and impervious area by 18%–182%, indicating reduced infiltration and expanded built-up areas, which raised design flood discharge across all sub-watersheds. Cakung Hilir produced the highest peak discharge (120.30 m³/s), while Cakung Hulu–BKT showed the largest increase (12.89%). The results showed that higher CN and impervious area values corresponded to greater flood discharge. Therefore, LULC change is a contributing factor to increased flood discharge in the Cakung Watershed.
Co-Authors Handika Putrawan Taufik Ramadhan