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Model Pertumbuhan dan Perkembangan Tanaman Bayam Merah untuk Pendugaan Biomassa pada Sistem Fertigasi Otomatis Nir Daya (FONi) dengan Software Vensim PLE
Abstrak (Bhs. Indonesia)
Fertigasi Otomatis Nir Daya (FONi) merupakan salah satu teknik budidaya tanaman. FONi merupakan sistem otomatis tanpa listrik yang memanfaatkan gaya gravitasi bumi. Prinsip irigasi pada sistem tersebut menggunakan prinsip bejana berhubungan sehingga tinggi muka air irigasi akan selalu sama pada setiap ember. Irigasi pada FONi menggunakan irigasi bawah permukaan. Tanaman melalui proses yang panjang dalam pertumbuhan dan perkembangannya. Keseluruhan proses tersebut menyangkut tanah, tanaman, serta atmosfer. Oleh sebab itu, diperlukan penyederhanaan sistem agar lebih mudah memahami prosesnya. Pada penelitian ini akan dibuat model pertumbuhan dan perkembangan tanaman bayam merah yang ditanam pada instalasi FONi. Penelitian dilaksanakan di Laboratorium Teknik Pengelolaan dan Pengendalian Bio-Lingkungan (TPPBL), Laboratorium Terpadu 1 Gedung Integrated Academic Building (IAB) dan Lahan Percobaan Jurusan Teknologi Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman. Penelitian dilakukan dari Bulan Oktober 2023 hingga Juli 2024. Prosedur penelitian yang dilakukan yaitu melakukan perencanaan dan persiapan, penelitian lapang, perancangan model, dan kalibrasi dan validasi model (pengujian model). Variabel yang diukur yaitu variabel tanaman meliputi bobot kering organ tanaman (daun, batang, akar) dan variabel cuaca meliputi radiasi atas dan bawah tajuk tanaman, radiasi surya, suhu udara, kelembapan, curah hujan, dan kecepatan angin. Hasil penelitian menunjukkan bahwa model berhasil dibuat dan berhasil dikalibrasi dengan baik dengan nilai koefisien determinasi yang mendekati 1. Hasil validasi model menunjukkan nilai error yang masih tinggi, namun model masih memberikan hasil simulasi yang relevan.
Abtrak (Bhs. Inggris)
Powerless Automatic Fertigation (FONi) is a cultivation technique that can be applied in home gardens. The FONi system is an automatic, electricity-free system that utilizes the earth's gravitational force. The irrigation principle in this system uses the principle of communicating vessels, so the water level in each container will always be the same. Irrigation in FONi uses subsurface irrigation. Plants undergo a long process of growth and development, which includes various stages from seeds to the maturation phase. This entire process involves the soil, plants, and atmosphere. Therefore, system simplification is necessary to better understand the process. System simplification can be done, among other ways, by developing agricultural simulation models that involve climate, soil, and plants. In this study, a growth and development model of red spinach planted in the FONi system will be created using Vensim PLE software. The objectives of this research are 1) to develop a growth and development model for red spinach in the Powerless Automatic Fertigation (FONi) system and 2) to apply the developed growth and development model to predict the biomass of plants grown in the Powerless Automatic Fertigation (FONi) system. This research was conducted at the Laboratory of Environmental Bio-Management and Control Engineering (TPPBL), Integrated Laboratory 1, Integrated Academic Building (IAB), and the Experimental Field of the Department of Agricultural Technology, Faculty of Agriculture, Jenderal Soedirman University. The research was carried out from October 2023 to July 2024. The research procedures included planning and preparation, field research, model design, and model calibration and validation (model testing). The variables measured were plant variables, including the dry weight of plant organs (leaves, stems, roots), and weather variables, including radiation above and below the plant canopy, solar radiation, air temperature, humidity, rainfall, and wind speed. The results of the study showed that the model was successfully created and well-calibrated with a coefficient of determination value close to 1. The model validation results showed a still-high error value, but the model still provided relevant simulation results.
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