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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA)
Maulana, Mokhamad Rusdha
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

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Studi Optimasi Distribusi Air di Daerah Irigasi Manikin, Kabupaten Kupang, Menggunakan Program Dinamik Kharistanto, Robertus Tegar Kurnia; Limantara, Lily Montarcih; Saputra, Anggara Wiyono Wit; Maulana, Mokhamad Rusdha
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.11025

Abstract

This study aims to optimize water distribution in the Manikin Irrigation Area, Kupang Regency (200.98 ha), using deterministic dynamic programming to enhance irrigation efficiency and agricultural productivity. The cropping pattern follows a rice–rice–fallow system, wherein rice is cultivated in the first two seasons and land is left fallow in the third. Data used includes rainfall (2014–2023), irrigation discharge, crop water requirements, climatological parameters, and economic variables. The model maximizes profit as the objective function while considering three constraints: water availability, land area per season, and land area per irrigation stage. The study divides the irrigation network into eight stages and applies forward recursive and backtracking procedures to determine optimal water allocation. Before optimization, only 90 ha (44.78%) were irrigated in the first season and 170 ha (84.59%) in the second. After optimization, coverage increased to 190.23 ha (94.65%) and 200.98 ha (100%), respectively. Corresponding profits rose by 117% in the first season and 18% in the second. These results demonstrate that dynamic programming effectively improves water use efficiency and land productivity in water-limited agricultural systems.
From Water Allocation to Food Security: Irrigation System Optimization through Deterministic Dynamic Programming in the Gembolo Irrigation Area Maulana, Mokhamad Rusdha; Limantara, Lily Montarcih; Juwono, itojo Tri
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12630

Abstract

Inefficient irrigation water distribution remains a critical barrier to achieving optimal crop productivity and ensuring food security in rural Indonesia. This study focuses on the Gembolo Irrigation Area, Mojokerto Regency, by applying Deterministic Dynamic Programming (DDP) to optimize water allocation under a Rice–Rice–Secondary Crop (RTTG) rotation. The comprehensive integration of hydrological, climatological, and cropping data was employed to construct a DDP model that synchronizes irrigation supply with crop water demand across nine irrigation structures (G1–G9). The optimization results reveal significant improvements: irrigated area expanded by 254 ha, cropping intensity increased from 277 to 300%, and farmers’ net income rose by IDR 5.3 billion compared to the existing allocation scheme. These findings demonstrate the capacity of DDP to enhance water-use efficiency while strengthening the resilience and sustainability of rural agricultural systems. The study highlights the importance of data-driven optimization as a decision-support framework for advancing integrated irrigation management and rural development.
Co-Authors Anggara Wiyono Wit Saputra, Anggara Wiyono Wit Juwono, itojo Tri Kharistanto, Robertus Tegar Kurnia Lily Montarcih Limantara