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All Journal Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Geoid - Journal of Geodesy and Geomatics
Prasojo, Sri Irawan Laras
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science

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Development of Irrigation Networks Based on Priorities Using the Multiple Attribute Decision Making Method Ristiyana, Suci; Saputra, Tri Wahyu; Purnamasari, Ika; Wijayanto, Yagus; Alfatah, Naufal Akbar; Al-Ghofiqi, M. Faris; Destria Putri, Romadhona; Prasojo, Sri Irawan Laras
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1359-1368

Abstract

Development of irrigation networks is a crucial element in increasing the efficiency and effectiveness of water distribution for agriculture. This research aims to determine priorities for developing irrigation networks in the Bedadung Irrigation Area, Jember Regency, using the Multiple Attribute Decision Making (MADM) method. This method consider various criteria influencing decision-making, such as physical condition of the channel, land area, water requirements, and level of infrastructure damage. This research involved collecting primary and secondary data through field surveys, interviews with interpreters, as well as reviewing technical and administrative documents related to irrigation networks. Data was analyzed using several MADM techniques, such as Simple Additive Weighting (SAW), Weighted Product (WP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to obtain the weight of each criterion and determine development priorities. The results show that the main priority for developing irrigation networks in the Bedadung Irrigation Area is repairing primary, secondary, and tertiary canals that are badly damaged, followed by increasing canal capacity to meet water needs in the dry season. Implementation of the results of this research is expected to increase the efficiency of irrigation water distribution, reduce water losses, and increase agricultural productivity.
Land Cover Projection of Jember Irrigation Area Using MOLUSCE QGIS Kartikasari, Adelia Nur Isna; Prasojo, Sri Irawan Laras; Robbani, Hilma Wasilah; Kaffa, Niswah Selmi
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.8071

Abstract

Jember Regency has the third largest agricultural area in East Java Province. However, the agricultural area has decreased due to the expansion of built-up areas in line with population growth. This indicates the need for special attention to controlling the expansion of built-up land in Jember Regency. This study focuses on predicting agricultural land loss and the increase in built-up land in Jember Regency. It examines land cover changes in the regency from 2017 to 2021. Sentinel-2 imagery was used to obtain land cover data for Jember Regency in 2017 and 2021. The 2017 and 2021 land cover maps will serve as reference maps to determine the 2025 land cover using the MOLUSCE plugin in QGIS. The obtained 2025 land cover map will be used to validate the model's accuracy by comparing it with the actual 2025 land cover using Kappa Accuracy. This model's Kappa Accuracy is 91%. The validated model will then be used to predict land cover for 2045. The analysis indicates a predicted reduction in agricultural area of 5.675 hectares and a predicted increase in built-up area in irrigated areas of 6.348 hectares during the 2025–2045 period. Over the next 20 years, irrigation areas under the authority of the regency are predicted to experience the highest growth in built-up land, at 46.1%. This is followed by areas under provincial authority, which are predicted to grow by 34.6%, and areas under central authority, which are predicted to grow by 110% of the total agricultural area in Jember Regency. These findings are important for local governments and stakeholders in land management and urban planning. They also contribute to the monitoring of agricultural land use and the development of effective policy strategies.
Analisis Alokasi Air Dengan Metode FPR-LPR dan Evapotranspirasi Pada Tanaman Padi (Oryza sativa L.) di UPT SDA Balung Daerah Irigasi Bedadung Ristiyana, Suci; Putri, Romadhona Destria; Ratnasari, Tri; Purnamasari, Ika; Saputra, Tri Wahyu; Prasojo, Sri Irawan Laras
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 13 No 2 (2025): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jrpb.v13i2.1177

Abstract

Rice is one of the agricultural commodities that serves as the foundation of food security. Rice production fluctuates from year to year. Rice production in Jember Regency is mostly produced from irrigated rice fields. Bedadung irrigation area is one of the irrigation areas that has a large service area. UPT Balung is one of the UPTs that often experience water shortages. efforts that can be made to meet agricultural water needs are by optimizing water allocation management in agricultural land. Methods that can be used for water allocation management are the FPR-LPR and evapotranspiration methods. The purpose of this study is to determine the allocation of water, cropping patterns and the best method between the FPR-LPR and evapotranspiration methods on rice plants in UPT Balung Bedadung irrigation area. The research requires data in the form of secondary data which includes climate element data, soil data, crop data and 2022-2023 RTTG data. Water allocation using the FPR-LPR method shows that in growing season 1 requires water of 81,612 l/sec and in growing season 2 of 22,152 l/sec. Water allocation using the evapotranspiration method shows that in growing season 1 requires water amounting to 13,152 l/sec and in growing season 2 amounting to 15,196 l/sec. The best method between the two methods is the evapotranspiration method because the evapotranspiration method is based on climate data, soil data and crop data.
Co-Authors Al-Ghofiqi, M. Faris Alfatah, Naufal Akbar Destria Putri, Romadhona Ika Purnamasari Kaffa, Niswah Selmi Kartikasari, Adelia Nur Isna Putri, Romadhona Destria Ratnasari, Tri Ristiyana, Suci Robbani, Hilma Wasilah Tri Wahyu Saputra Yagus Wijayanto