Analisa Optimasi Irigasi Pada Daerah Irigasi Alopohu Kabupaten Gorontalo Dengan Program Dinamik Deterministik
DOI:
https://doi.org/10.21776/ub.pengairan.2021.012.02.10Keywords:
Dinamik, irigasi, optimasi, sinus perkalianAbstract
Kabupaten Gorontalo mempunyai luas wilayah daratan seluas
2.125,47 km2. Potensi Lahan pada tahun 2015 di Kabupaten
Gorontalo mencapai 13.958 hektar. Bahan pangan yang ditanam di
Daerah Irigasi Alopohu adalah padi, ubi kayu, jagung, ubi jalar,
kacang kedelai, kacang tanah, buah dan sayuran. Tujuan penelitian
ini adalah mengoptimalkan air dan lahan sehingga tercapai
keuntungan yang maksimum. Metode yang dilakukan adalah Model
Sine Product untuk menghitung nilai-nilai pada tabel akibat. Pada
penelitian ini dilakukan dua tahap, yaitu (1) membuat (menghitung)
Tabel Akibat, dan (2) menerapkan model Program Dinamik untuk
optimasi alokasi air irigasi secara spasial antar petak irigasi. Program
dinamik memberikan prosedur yang sistematis untuk penentuan
kombinasi pengambilan keputusan yang memaksimumkan
keseluruhan efektivitasnya. Dengan menggunakan program dinamik
didapatkan keuntungan maksimum sebesar Rp 29.667.765.046,
dimana keuntungan tersebut didapatkan dari produksi gabah sebesar
6.593 ton gabah. Hasil panen tersebut dihasilkan hanya dengan luas
sawah sebesar 1.538 ha. Nilai perbandingan hasil panen per ha yaitu
kondisi eksisting (sebelum optimasi) adalah 3,90 ton/ha sedangkan
setelah optimasi sebesar 4,29 ton/ha.
Gorontalo Regency has a land area of 2,125.47 km2. Land potential
in 2015 in Gorontalo Regency reached 13,958 hectares. Foodstuffs
grown in the Alopohu Irrigation Area are rice, cassava, corn, sweet
potatoes, soybeans, peanuts, fruits, and vegetables. This research
aims to optimize water and land to achieve maximum profit. The
Sine Product Model method is used to calculate the values in the
effect table. In this study, two stages were carried out, namely (1)
creating (calculation) Effect Tables, and (2) applying the Dynamic
Program model to optimize the spatial allocation of irrigation water
between irrigation plots. Dynamic programming provides a
systematic procedure for determining the combination of decisionmaking that maximizes its overall effectiveness. By using the
dynamic program, a maximum profit of Rp. 29,667,765,046 was
obtained, where the profit was obtained from the production of 6,593
tons of grain. The yields were produced only on an area of 1,538 ha
of rice fields. The comparison value of crop yields per ha, namely
the existing condition (before optimization) is 3.90 tons/ha while
after optimization is 4.29 tons/ha.
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