Determinants of Flow Connectivity in Small-Scale Wetland Irrigation Networks: A Sensitivity Analysis Approach In Aceh Jaya
DOI:
https://doi.org/10.29103/tj.v16i1.1367Keywords:
Small-scale Irrigation Networks, Flow Connectivity, Wetlands, Sobol’ Sensitivity AnalysisAbstract
Abstrack
This study aims to analyze the determinants of flow connectivity in small-scale irrigation networks within wetland ecosystems of Aceh Jaya Regency, based on the perceptions of 135 water users. Five primary parameters were evaluated: channel structural stability (X1), channel conveyance condition (X2), sedimentation (X3), flow connectivity (X4), and discharge control performance (X5). Integration of Spearman correlation, ordinal logistic regression, Sobol’ sensitivity analysis, and cluster analysis reveals that canal conveyance condition (X2) performs best. Channel structural stability (X1) shows the lowest performance as a direct impact of wetland characteristics. Unstable soil conditions exacerbate the physical stability of irrigation networks in the region.Correlation findings reveal that cross-sectional stability is significantly and positively related to connectivity (r=0.452), while discharge control performance (X5) shows a negative correlation (r=-0.513). A reverse causality phenomenon is indicated in locations with high water distribution constraints, where control infrastructure tends to be concentrated. Regression analysis confirms that good cross-sectional stability increases the probability of optimal connectivity by up to 2.6 times. Sensitivity analysis results identify flow control as the most critical parameter (STi=0.51), followed by cross-sectional stability (STi=0.44). This research recommends priority interventions in strengthening control infrastructure and cross-sectional stability adaptive to wetland hydrological dynamics based on a farmer cluster approach.
Keywords: Small-scale Irrigation Networks, Flow Connectivity, Wetlands, Sobol’ Sensitivity Analysis
Abstrak
Penelitian ini bertujuan menganalisis determinan konektivitas aliran pada jaringan irigasi skala kecil di lahan basah Kabupaten Aceh Jaya berdasarkan persepsi 135 petani. Lima parameter utama dievaluasi meliputi stabilitas penampang (X1), kebersihan saluran (X2), sedimentasi (X3), konektivitas aliran (X4), dan pengendalian aliran (X5). Melalui integrasi korelasi Spearman, regresi logistik, sensitivitas Sobol’, dan analisis klaster, ditemukan bahwa kebersihan saluran (X2) berkinerja terbaik, sedangkan stabilitas penampang (X1) terlemah akibat kondisi tanah lahan basah yang labil. Hasil korelasi menunjukkan X1 berhubungan positif signifikan dengan X4 (r=0,452), sementara X5 berkorelasi negatif (r=-0,513), mengindikasikan fenomena kausalitas terbalik pada area dengan kendala distribusi air tinggi. Analisis regresi mengonfirmasi bahwa peningkatan kondisi X1 meningkatkan peluang konektivitas aliran (X4) hingga 2,6 kali lipat. Analisis sensitivitas menempatkan pengendalian aliran (X5) sebagai parameter paling kritis (STi=0,51), diikuti X1 (STi=0,44). Penelitian ini merekomendasikan prioritas intervensi pada infrastruktur pengendalian dan stabilisasi penampang yang adaptif terhadap dinamika hidrologi lahan basah berbasis pendekatan klaster petani.
Kata kunci: Jaringan Irigasi Kecil, Konektivitas Aliran, Lahan Basah, Sensitivitas Sobol’
References
Amarasinghe, U. A., Sikka, A., Mandave, V., Panda, R. K., Gorantiwar, S., Chandrasekharan, K., & Ambast, S. K. (2021). A re-look at canal irrigation system performance: a pilot study of the Sina irrigation system in Maharashtra, India. Water Policy, 23(1), 114–129. https://doi.org/10.2166/wp.2020.291
Badan Pusat Statistik. (2025, December 30). Laporan Tahunan 2025. Https://Web-Api.Bps.Go.Id/.
BMKG (Indonesian Agency for Meteorology, C. and G. (2025, December 30). Klimatologi. Https://Www.Bmkg.Go.Id/Iklim.
Charles M. Burt, S. W. S. (2001). Rapid Appraisal Process (RAP) and Benchmarking Explanation and Tools (ITRC Report No. R 01-008).
Chauhan, M. K., & Ram, S. (2023). Rehabilitation of canal irrigation schemes in India: a qualitative analysis. Water Policy, 25(1), 59–68. https://doi.org/10.2166/wp.2022.237
Coolidge, F. L. (2012). Statistics: A gentle introduction. (1st ed.). SAGE Publication.
Dai, H., Liu, Y., Guadagnini, A., Yuan, S., Yang, J., & Ye, M. (2024). Comparative Assessment of Two Global Sensitivity Approaches Considering Model and Parameter Uncertainty. Water Resources Research, 60(2). https://doi.org/10.1029/2023WR036096
FAO. (1999). Irrigation Sector Strategy Review: Methodology and Application.
Faurès, J.-M., & Santini, G. (2008). Water and the rural poor: Interventions for improving livelihoods in sub-Saharan Africa.
Fauzi, A., Rahmah, S., & Abdullah, T. (2020). Analisis produktivitas padi di Kabupaten Aceh Jaya: Pendekatan teknis, sosial, dan lingkungan. Jurnal Agroteknologi Unsyiah, 15(2), 45–60.
Fereres, E., & Soriano, M. A. (2006). Deficit irrigation for reducing agricultural water use. Journal of Experimental Botany, 58(2), 147–159. https://doi.org/10.1093/jxb/erl165
Ferreira, A., Rolim, J., Paredes, P., & Cameira, M. do R. (2023). Methodologies for Water Accounting at the Collective Irrigation System Scale Aiming at Optimizing Water Productivity. Agronomy, 13(7), 1938. https://doi.org/10.3390/agronomy13071938
Goel, R. K., Yadav, C. S., Vishnoi, S., & Rastogi, R. (2021). Smart agriculture – Urgent need of the day in developing countries. Sustainable Computing: Informatics and Systems, 30, 100512. https://doi.org/10.1016/j.suscom.2021.100512
Kativhu, S., Mwale, M. M., & Zuwarimwe, J. (2020). Agricultural resilience under increasing water security threats: insights for smallholder farming in Limpopo Province, South Africa. Water Practice and Technology, 15(4), 849–862. https://doi.org/10.2166/wpt.2020.068
Lampayan, R. M., Rejesus, R. M., Singleton, G. R., & Bouman, B. A. M. (2015). Adoption and economics of alternate wetting and drying water management for irrigated lowland rice. Field Crops Research, 170, 95–108. https://doi.org/10.1016/j.fcr.2014.10.013
M. G. Bos, M. A. Burton, & D. J. Molden. (2005). Irrigation and drainage performance assessment: practical guidelines. CABI Publishing. https://doi.org/10.1079/9780851999678.0000
Mohd Yusof Hj, A., Bakar, N. R. H. A., Sulehan, J., Awang, A. H., & Liu, O. P. (2012). Participatory Rural Appraisal (PRA): Analysis of Experience Village, Sukabumi District, West Java, Indonesia. Akademika, 82(11), 15–19.
Pemerintah Republik Indonesia. (2014). Undang-undang (UU) Nomor 23 Tahun 2014 tentang Pemerintahan Daerah . Kementerian Sektretariat Negara.
Praveen, K., Ray, R., Roy, L. B., & Tiwari, D. K. (2025). Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the Sone irrigation scheme in Bihar: a case study. Journal of Water and Climate Change, 16(1), 34–50. https://doi.org/10.2166/wcc.2024.142
Rahmadani, E. Z., Wahono, E. P., & Purwadi, O. T. (2024). Evaluasi Penilaian Kinerja Irigasi dan Angka Kebutuhan Nyata Pengelolaan Irigasi Way Merias Kabupaten Lampung Tengah. Teras Jurnal : Jurnal Teknik Sipil, 14(2), 589–599. https://doi.org/10.29103/tj.v14i2.1179
Saltelli, A., Ratto, M., Andres, T., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global sensitivity analysis : the primer. John Wiley.
Sobol′, I. . (2001). Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates. Mathematics and Computers in Simulation, 55(1–3), 271–280. https://doi.org/10.1016/S0378-4754(00)00270-6
Syifa, S. K., & Permana, S. (2024). Analisis Kebutuhan Air Pada Daerah Irigasi Lakbok Utara Bendung Pataruman Kota Banjar. JMTS: Jurnal Mitra Teknik Sipil, 7(1), 199–214. https://doi.org/10.24912/jmts.v7i1.26033
Tucker, B., Christen, E., & Quirke, G. (2023). Irrigation performance benchmarking. https://doi.org/10.4060/cc5126en
Wainwright, H. M., Finsterle, S., Jung, Y., Zhou, Q., & Birkholzer, J. T. (2014). Making sense of global sensitivity analyses. Computers & Geosciences, 65, 84–94. https://doi.org/10.1016/j.cageo.2013.06.006
Zahara, R. (2020). Dampak Alih Fungsi Lahan terhadap Kesuburan Tanah di Aceh Jaya . Universitas Syiah Kuala.
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