PERBANDINGAN PENILAIAN KINERJA IRIGASI D.I CIKAHURIPAN SESUAI PEDOMAN EKSPLOITASI PEMELIHARAAN JARINGAN IRIGASI DENGAN FUZZY SET THEORY

PUTRA, KRISNA and HAMKA, M. NORIS and FAUZI, RIZKI (2024) PERBANDINGAN PENILAIAN KINERJA IRIGASI D.I CIKAHURIPAN SESUAI PEDOMAN EKSPLOITASI PEMELIHARAAN JARINGAN IRIGASI DENGAN FUZZY SET THEORY. Other thesis, Nusa Putra University.

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Abstract

Performance assessment of irrigation networks is an integral part of irrigation management. It is conducted by irrigation managers and forms the basis for policy making in the irrigation area being evaluated. Performance assessment involves six aspects of irrigation networks, including physical infrastructure, crop productivity, operation and maintenance (O&M) support facilities, personnel organization, documentation, and Water User Farmer Association (P3A) organization. Currently, performance assessment on some aspects still relies on the experience of field officers or observers. This research aims to evaluate the performance of irrigation networks by applying fuzzy set theory to reduce subjectivity, in accordance with the method used by the Balai which refers to Permen PUPR No. 12/PRT/M/2015 concerning Guidelines for Exploitation and Maintenance of Irrigation Networks. Input data comes from the performance assessment of irrigation networks in the Cikahuripan Irrigation Area in 2023. The results showed that fuzzy analysis of the performance value of irrigation networks in the Cikahuripan Irrigation Area reached 70.17%, while the assessment carried out IKSI reached 67.57%. The comparison between the assessment using fuzzy set theory with IKSI methods shows a difference of 2.6%. This shows that the fuzzy set theory method can be used to evaluate the performance of irrigation systems.

Keywords : Fuzzy set theory, irrigation network performance, irrigation management

Item Type: Thesis (Other)
Subjects: Engineering > Civil Engineering
Divisions: Faculty of Engineering, Computer and Design > Civil Engineering
Depositing User: Unnamed user with email liu@nusaputra.ac.id
Date Deposited: 30 Jan 2025 02:07
Last Modified: 30 Jan 2025 02:07
URI: http://repository.nusaputra.ac.id/id/eprint/1352

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