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Analisis Debit Dengan Metode F.J. Mock Dan NRECA Serta Perbandingannya Terhadap Debit Pos Duga Air M. Agussalim; Indriyanti Azis; Sukmasari Antaria; Riswal K; Annisa Febrianti; Ayu Rosdiana
Jurnal Karajata Engineering Vol. 5 No. 1 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/karajata.v5i1.3624

Abstract

The Makawa river basin located in the Rongkong watershed has an increase in surface flow which affects the discharge flow which can cause flooding. Therefore, discharge data is needed to manage existing water resources. This study aims to analyze the water discharge using the F.J. Mock and NRECA methods, which are then compared to the water estimation post discharge. The results of this study showed that the F.J. Mock method has a relative error of 48% and a correlation coefficient of 0,690 with a strong interpretation, while NRECA showed a relative error of 50% and a correlation coefficient of 0,669 with a strong interpretation. Therefore, it is concluded that the F.J. Mock method is more appropriate than the NRECA method with lower relative error results, and a higher correlation coefficient than NRECA. The result of the simulation discharge between F.J. Mock, NRACA and water estimation post discharge are quite far apart.
Irrigation Serviceability under Seasonal Scarcity: Digital Water Balances and Canal Deterioration in Pamukkulu Nur Hikmah Amelia; Farida Gaffar; Indriyanti Azis
Journal of Green Complex Engineering Vol. 4 No. 1 (2026): August
Publisher : Gio Architect

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59810/greenplexresearch.v4i1.291

Abstract

This study evaluates whether Irrigation Service Agreement (ISA) commitments remain physically deliverable under seasonal water scarcity and canal deterioration in the Pamukkulu Irrigation Area, South Sulawesi, Indonesia. A descriptive quantitative design combined farmer questionnaires, field observations, and a 72-period five-day SIPASI water-balance series across six SCADA-supported secondary-canal service units covering 2,885 ha; the September–October 2026 periods were treated as planning projections rather than realized observations. Service performance was assessed through equity, adequacy, and reliability, while principal survey proportions were summarized with Wilson 95% confidence intervals. Mean intake requirement was 4,796.8 L s−1, whereas mean available discharge was 2,380.6 L s−1, equivalent to 49.6% of requirement. The mean K factor was 0.47; full-service conditions were identified in 19 of 72 periods, while severe-deficit conditions were identified in 31 periods. For the projected 1–11 September 2026 periods, available flow covered only 1.4–2.0% of intake demand. Farmers identified leakage as the dominant loss mechanism (72.7%), secondary canals as the highest-loss segment (60.6%), and downstream shortage as the main consequence (51.5%). The results support K-triggered scarcity rules, targeted secondary-canal maintenance, and tighter operational linkage among ISA, SIPASI, SCADA, and P3A.