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An Integrated Performance Index for Decentralized Water Supply Systems: A Case Study of SiPAS in the Brantas River Basin Andawayanti, Ussy; Asmaranto, Runi; Sajali, M. Amar; Suhartanto, Ery; Hidayat, Mustafa Mukti; Utami, Rizki Tri
Jurnal Penelitian Pendidikan IPA Vol 11 No 8 (2025): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i8.12137

Abstract

To develop and validate an Integrated Performance Index Model (IPIM) for evaluating Simple Water Supply Systems (SiPAS) in the Brantas River Basin, Indonesia. We surveyed, audited, and interviewed stakeholders at 31 SiPAS sites. Latent constructs were tested using SEM–PLS, and dimension weights were optimized with the Generalized Reduced Gradient method. The model explained system performance well (R² = 0.95) and showed high predictive reliability. The technical dimension exerted the strongest influence (72.10%), followed by managerial (26.70%) and social (15.10%) factors. The index differentiated low and high performing sites and was consistent with field audit findings. A companion mobile application enabled real time reporting and feedback to strengthen community participation. IPIM provides a concise, scalable framework for assessing decentralized water supply, prioritizing technical improvements while supporting managerial and social strengthening, and can inform investment and governance decisions for rural water services.
Integrating Irrigation and Potable Water via a Pump-Fed Reservoir: Operational Scenarios and Economic Feasibility in Sukodono Lufira, Rahmah Dara; Marsudi, Suwanto; Andawayanti, Ussy; Sajali, M. Amar; Utami, Rizki Tri; Sari, Santi; Pratama, Rizki Ramadani
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.12607

Abstract

The Sukodono Reservoir (Gresik, East Java, Indonesia) is a pump-fed, multi-compartment system integrating irrigation and potable supply. We assess scenario-based operations and an economic appraisal. Three vertical-turbine pumps are installed (3×150 L/s); routine operation uses two units at 81% efficiency, yielding 243 L/s for 12 h/day (10.498 m³/day), with the third unit as standby/peak. By 2039, the population is projected at 30.801, requiring 22 L/s, supplied by a 30 L/s WTP. Irrigation storage targets are 120.000 m³ (250 ha core plantation), 270.000 m³ (2.250 ha inter-cropping), and 546.750 m³ (secondary crops). Six phased-expansion scenarios over six years were evaluated. Results show the designed operation reliably meets the 22 L/s potable demand while achieving the irrigation storage targets across scenarios. Base-case economics at a 5.50% discount rate (WACC) indicate IRR 18.50%, BCR ≈ 1.00 (break-even), and payback 7.10 years. We conclude that pump-fed reservoirs can integrate rural water supply and dryland irrigation effectively, although economic performance is marginal under the base case; viability improves with efficiency gains and prudent O&M/Fuel-Cost control.
Optimasi Model Natural Rural Electrical Cooperation Agency Untuk Memprediksi Debit Aliran Bulanan di Sub DAS Lesti Suhartanto, Ery; Andawayanti, Ussy; Dara Lufira, Rahmah; Utami, Rizki Tri
Rekayasa Vol 18, No 3: Desember, 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v18i3.31267

Abstract

Climate change and land use change in the Lesti Sub-DAS increase the risk of flooding and land degradation, requiring reliable flow predictions to support water resource management. However, the performance of the NRECA model in predicting monthly flows in this region is still not optimal because calibration-validation strategies and the use of environmental parameters have not been systematically studied. This study optimizes the NRECA model to predict monthly discharge for the period 2011-2020 in the Lesti sub-watershed by calibrating the GWF and PSUB parameters based on rainfall, evapotranspiration, and watershed morphometry data in three data division scenarios (70:30, 80:20, and 90:10 for calibration:validation). The results show that all scenarios produce excellent performance with calibration Nash-Sutcliffe Efficiency (NSE) values between 0.99491-0.99561 and correlation coefficients (R) between 0.99746-0.99785, while validation yielded NSE values between 0.89112-0.97227 and R between 0.49959-0.81520. The best scenario was obtained with a combination of 8 years of calibration and 2 years of validation, with NSE = 0.99561 and R = 0.99785 at the calibration stage, and NSE = 0.97227 and R = 0.81512 at the validation stage, indicating the model's ability to consistently represent monthly discharge variations. The similarity between the model discharge pattern and observations during the base and peak flow periods indicates that GWF optimization specifically improves the representation of base flow response. This study contributes by presenting an optimization-based calibration-validation scheme for the NRECA model, which can be used as a reference in conservation planning and reservoir operation management in watersheds with limited data.