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INDONESIA
JURNAL SUMBER DAYA AIR
Published by Puslitbang Sumber Daya Air
ISSN : 19070276     EISSN : 2548494X     DOI : -
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture Engineering
Jurnal Sumber Daya Air (JSDA) is a journal aims to be a peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on Water, and Water resources as well as related topics. All papers are peer-reviewed by at least two referees. JSDA is managed to be issued twice in every volume. The Scope of JSDA is: the fields of irrigation, environmental quality and water, swamp, beach, water building, water supply, hydrology and geotechnical fields, hydrology and water management, water environment, coastal fields, fields of cultivation and sabo fields.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "vol 22, no 1 (2026)" : 5 Documents clear
Analisis Kekeringan Meteorologis dan Hidrologis DAS Brantas, Kabupaten Trenggalek Alan Wijaya; Asep Ferdiansyah
JURNAL SUMBER DAYA AIR Vol 22, No 1 (2026)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v22i1.963

Abstract

Trenggalek Regency in East Java Province is considered vulner between these two drought typesable to drought due to uneven rainfall distribution and predominantly hilly topography. This study aims to assess the levels of meteorological and hydrological drought hazards and to examine the relationship between these two types of drought within the region. Meteorological drought was analyzed using the three-month Standardized Precipitation Index SPI-3,  derived from rainfall records obtained from 18 rainfall stations. Hydrological drought was evaluated using the three-month Standardized Runoff Index SRI-3, based on discharge data from several streamflow gauging stations within the Brantas sub-watersheds. The spatial distribution of drought hazards was mapped using the Inverse Distance Weighted (IDW) interpolation method within a spatial analysis framework. The results indicate that the southern coastal area of Trenggalek Regency experiences high to very high meteorological drought hazard, whereas the mountainous regions exhibit relatively lower drought hazard due to higher rainfall intensity. Hydrological drought analysis reveals that drought hazard levels vary from very low to moderate across several gauging stations. The discrepancy between meteorological and hydrological drought conditions is influenced by the presence of baseflow derived from groundwater storage, which helps sustain river discharge during dry periods. Correlation analysis between SPI-3 and SRI-3 demonstrates a positive relationship, with correlation coefficients ranging from 0.41 to 0.79, indicating that meteorological drought generally precedes hydrological drought with a detectable lag time. These findings provide important insights for improving drought mitigation strategies and supporting sustainable water resources management in Trenggalek Regency
Evaluasi Model Elevasi Digital dalam Pemodelan Genangan Banjir di DAS Wae Mese Pankrasio Mario; Albert Wicaksono; Obaja Triputera Wijaya
JURNAL SUMBER DAYA AIR Vol 22, No 1 (2026)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v22i1.984

Abstract

On 7 March 2019 and 31 December 2021, extreme rainfall events occurred in the Wae Mese Watershed, West Manggarai Regency, resulting in the inundation of several villages and agricultural fields. Currently, detailed records regarding the area and depth of these flood events are unavailable, hindering the formulation of comprehensive disaster mitigation plans. This study aims to reconstruct the flood inundation area and depth in the Wae Mese Watershed, while simultaneously evaluating the accuracy of various open-access Digital Elevation Models (DEM). The flood inundation simulation was performed using a two-dimensional (2D) HEC-RAS hydraulic model, driven by flood discharge values derived from a rainfall-runoff model using recorded rainfall data during the events. The flood model simulation results were calibrated against the inundation depth from the 2019 flood event in Golo Bilas, Macang Tanggar, and Gorontalo Villages. The inundation modeling incorporated four open-access DEMs: SRTM DEM, Merit DEM, NASA DEM, and DEMNAS. Simulation results indicated that DEMNAS yielded an inundation depth of 1.03–2.03 m and an inundation area closest to the actual flood event on 7 March 2019. The statistical indicators, such as an RMSE of 0.38, a BIAS of 0.15, a correlation coefficient of 0.92, and a RVE of 10.6%, show that the results are close to the actual flood.  The superior performance of DEMNAS is attributed to its higher spatial resolution compared to the other DEMs, providing a more precise representation of surface topography for modeling inundation areas and river channels. Consequently, DEMNAS is recommended as a reliable reference for developing flood hazard maps and planning flood mitigation strategies in the Wae Mese Watershed.
LSTM (Long Short-Term Memory)-based Hydrograph Modeling for Pandanduri Reservoir, Indonesia Piter Wongso; Siska Wulandari; Neil Andika; Faizal Immaddudin Wira Rohmat; Muhammad Ammar Fadhil Adfa
JURNAL SUMBER DAYA AIR Vol 22, No 1 (2026)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v22i1.1059

Abstract

Dams are vital infrastructure that supports irrigation, raw water supply, flood control, hydroelectric power, and tourism. Reservoirs of the dam store the water during the rainy season and release it in the dry season to reduce the flood risk. Continuous monitoring is essential to ensure their optimal function and safe operation. However, in many developing regions, the availability and quality of discharge data remain inadequate due to poor data governance, limited resources, and insufficient digital infrastructure. These challenges highlight the need for new approaches capable of improving discharge prediction under limited data conditions. To address this issue, Machine Learning (ML) has gained popularity in hydrological research. Long Short-Term Memory (LSTM) is one of the ML methods that has proven effective for analyzing historical data patterns for prediction. This study uses an LSTM-based hydrograph model in the Pandanduri Reservoir Watershed, Indonesia. Compared to conventional statistical or conceptual models, LSTM offers the advantage of capturing nonlinear dynamics in long time-series datasets. The model utilized open data, including satellite rainfall data, meteorological data, and streamflow data records, to capture the complex relationship between rainfall and streamflow.  The generated model was validated with the recorded streamflow data. The model evaluation produces an NSE of 0.44 and an RMSE of 0.74. These values indicate that the model is capable of reproducing key rainfall–runoff dynamics under data-limited conditions. Further research is essential to improve the ability of LSTM to capture extreme events and improve its generalization across hydrological conditions.
Pemodelan Dispersi Fosfat dan Evaluasi Strategi Mitigasi Pencemaran Limbah Deterjen Domestik di Saluran Irigasi Cibarani Menggunakan HEC-RAS Ezzy Yuanita; Doddi Yudianto
JURNAL SUMBER DAYA AIR Vol 22, No 1 (2026)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v22i1.1030

Abstract

Phosphate pollution from domestic detergent wastewater poses a significant challenge to urban water quality, particularly in small drainage channels where detergent-derived sources and dispersion patterns have not been thoroughly investigated. This study focuses on the Cibarani Channel in Bandung, Indonesia, where phosphate primarily originates from household detergent discharge. The objective was to model the spatial–temporal dispersion of total phosphate (TP) and evaluate two control strategies: substitution with low-phosphate detergents and partial technical reduction of TP concentration. A steady-flow hydrodynamic and water quality model was developed using HEC-RAS by incorporating field data on flow discharge, TP, DO, BOD, and NH₃–N, as well as community survey results. Model performance was evaluated using R², RMSE, and Nash–Sutcliffe Efficiency (NSE). Simulations during wet and dry seasons showed that TP concentrations consistently exceeded the Class II water quality standard (0.2 mg/L), reaching peaks of 0.878 mg/L during the wet season and 0.578 mg/L during the dry season. The low-phosphate detergent scenario reduced TP concentrations by up to 58%, while the partial technical reduction scenario lowered concentrations close to the water quality standard even under low-flow conditions. Survey results indicated that all respondents were willing to adopt environmentally friendly detergents. The findings suggest that the combination of low-phosphate detergent use and partial technical TP reduction has the potential to become an effective management strategy for reducing phosphate pollution in urban drainage channels.
Prediksi Debit Banjir Rancangan Menggunakan Metode Hidrograf Satuan SCS pada DAS Aesesa untuk Mitigasi Resiko Banjir Ralno Robson Klau; Denik Sri Krisnayanti; Jakobis Johanis Messakh
JURNAL SUMBER DAYA AIR Vol 22, No 1 (2026)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v22i1.987

Abstract

The Aesesa River Basin is located in the Ngada and Nagekeo Regencies on Flores Island, with a basin area of 1,169.24 km2. The purpose of this research is to analyze the flood discharge of the Aesesa River Basin based on the Natural Resources Conservation Service (NRCS), USA Curve Number infiltration method, and the Synthetic Unit Hydrograph (SCS) method. Rainfall data used satellite TRMM corrected with rain gauge data, with a data length of 20 years (2000 – 2019). Observed discharge using the Boasaby staff gauge (SG) and basin characteristics using the Geographical Information System (GIS). Design rainfall analysis used the Generalized Extreme Value (GEV) distribution. Flood analysis used the soil conservation service synthetic unit hydrograph method (HSS SCS) with the aid of HEC-HMS software. The research results show that land cover is dominated by savanna and shrub vegetation, and soil types with low permeability result in a CN value of 77.77. Flood discharge analysis was subsequently performed for various return periods. The observed flood discharge obtained from hydraulic calculations using the continuity equation was approximately 405.19 m³/s. The calculated flood discharge for the 2-year return period was 250.10 m3/s. Meanwhile, at return periods of 5, 10, 25, 50, 100, 200, 500, and 1000 years, the flood discharge is 480.10 m3/s, 691.80 m3/s, 1036.10 m3/s, 1365.90 m3/s, 1759.70 m3/s, 2231.00 m3/s, 3020.90 m3/s, and 3755.30 m3/s respectively, all exceeding the observed flood discharge. These results indicate that the relatively high Curve Number (CN) value in the Aesesa Watershed reflects low infiltration capacity, thereby contributing to increased surface runoff.

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