Analisis Retensi Hara pada Pemodelan Sistem Agroforestri di Lahan Gambut Berbasis Water, Nutrient, and Light Capture System (WanuLCAS) 4.0 Sebagai Alternatif Berkelanjutan Program Food Estate di Kabupaten Kapuas, Kalimantan Tengah

Esasi, Geoloveriana (2026) Analisis Retensi Hara pada Pemodelan Sistem Agroforestri di Lahan Gambut Berbasis Water, Nutrient, and Light Capture System (WanuLCAS) 4.0 Sebagai Alternatif Berkelanjutan Program Food Estate di Kabupaten Kapuas, Kalimantan Tengah. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini mengevaluasi potensi agroforestri dalam meningkatkan retensi hara di lahan gambut Dadahup, Kabupaten Kapuas, Kalimantan Tengah, yang merupakan bagian dari program food estate. Simulasi dilakukan menggunakan model WaNuLCAS 4.0 yang terhubung dengan STELLA untuk membandingkan tiga skenario: monokultur (M), agroforestri dengan Shorea balangeran (AF), dan agroforestri dengan penambahan parameter mikoriza Scleroderma spp. (AFM) pada tanaman padi, jagung, dan singkong. Hasil simulasi menunjukkan nilai NRI berkisar antara 0,8127–0,8150 dan NUE berkisar antara 0,01-0,03 untuk nitrogen, sedangkan dinamika fosfor menunjukkan kestabilan stok hara pada sistem agrikultur. Hasil NRI dan NUE nitrogen pada berbagai skenario menunjukkan hasil yang relatif sama, dengan NRI bernilai mendekati 1 dan NUE bernilai <1 menunjukkan bahwa agrikultur di lahan gambut memiliki sistem yang tidak mudah mengalami kehilangan hara dan lahan gambut memiliki peran sebagai penampung bersih hara (net sink). Hasil simulasi fokus pada pelindian hara, sehingga faktor agroforestri dan mikoriza ditinjau dari jasa ekologisnya untuk peningkatan ketersediana hara, menjaga retensi air, dan mencegah subsiden. Hasil simulasi menunjukkan agroforestri dapat mengurangi pelindian nitrogen sebesar 14-15 kg/ha, sehingga dapat menghemat pupuk urea 30-35 kg/ha dan mencegah kontaminasi air pada 15-30 juta liter. Temuan ini menyiratkan bahwa agroforestri berpotensi menjadi strategi konservasi hara di lahan gambut, namun interpretasi kuantitatif dibatasi oleh sensitivitas model, kelengkapan data input, dan kebutuhan kalibrasi spesifik lokasi. Penelitian lanjutan disarankan untuk memperkaya basis data tanah gambut, membangun profil Shorea balangeran berbasis pengamatan lapangan, serta memperbarui integrasi WaNuLCAS dengan STELLA versi terbaru. Secara praktis, hasil ini mendukung perancangan food estate berbasis agroforestri untuk menekan risiko pelindian hara sekaligus menjaga stok P.
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This study evaluates the potential of agroforestry in enhancing nutrient retention in the peatlands of Dadahup, Kapuas Regency, Central Kalimantan, which is part of a food estate program. Simulations were conducted using the WaNuLCAS 4.0 model linked with STELLA to compare three scenarios: monoculture (M), agroforestry with Shorea balangeran (AF), and agroforestry with the addition of Scleroderma spp. mycorrhizal parameters (AFM) for rice, corn, and cassava crops. Simulation results showed NRI values ranging from 0.8127–0.8150 and NUE values ranging from 0.01–0.03 for nitrogen, while phosphorus dynamics indicated stable nutrient stocks in the agricultural system. The nitrogen NRI and NUE results across various scenarios were relatively similar, with NRI values close to 1 and NUE values <1, indicating that agriculture on peatlands has a system less prone to nutrient loss and that peatlands function as a net sink of nutrients. The simulation focused on nutrient leaching, thus agroforestry and mycorrhizal factors were reviewed for their ecological services in increasing nutrient availability, maintaining water retention, and preventing subsidence. Simulation results showed that agroforestry can reduce nitrogen leaching by 14–15 kg/ha, thereby saving 30–35 kg/ha of urea fertilizer and preventing water contamination in 15–30 million liters. These findings imply that agroforestry has the potential to be a nutrient conservation strategy in peatlands; however, quantitative interpretation is limited by model sensitivity, input data completeness, and the need for site-specific calibration. Further research is recommended to enrich the peat soil database, develop field observation-based profiles of Shorea balangeran, and update the integration of WaNuLCAS with the latest version of STELLA. Practically, these results support the design of agroforestry-based food estates to mitigate nutrient leaching risks while preserving P stocks.

Item Type: Thesis (Other)
Uncontrolled Keywords: agroforestri, food estate, gambut, retensi hara, wanulcas; agroforestry, food estate, nutrient retention, peatland, wanulcas
Subjects: S Agriculture > S Agriculture (General)
S Agriculture > SD Forestry
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Biology > 46201-(S1) Undergraduate Thesis
Depositing User: Geoloveriana Esasi
Date Deposited: 30 Jan 2026 07:20
Last Modified: 30 Jan 2026 07:20
URI: http://repository.its.ac.id/id/eprint/130762

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