Hakim, Qoid Luqmanul and Dr. Ir. Sudarto,, M.S. and Aditya Nugraha Putra,, S.P., M.P. (2021) Analisis Kandungan Hara N, P, Dan K Padi Sawah Tercekam Salinitas Menggunakan Uav. Sarjana thesis, Universitas Brawijaya.
Abstract
Padi merupakan komoditas pangan pokok bagi umat manusia yang memiliki kontribusi tertinggi dalam menyediakan karbohidrat untuk aktivitas sehari-hari. Indonesia sebagai negara penghasil padi ke 3 dari 10 negara penghasil padi di dunia melihat kebutuhan beras di Indonesia hampir mencapai 90%. Produksi padi di Indonesia mengalami penurunan sebesar -6,83% dalam kurun waktu 5 tahun terakhir. Hal ini diakibatkan jumlah penduduk yang tinggi menyebabkan perpindahan lahan pertanian ke lahan salin. Perlu dilakukan analisis potensi produksi menggunakan foto udara dari UAV yang diharapkan mampu digunakan sebagai rujukan strategi pengambilan keputusan. Melihat hal tersebut, maka dilakukan penelitian untuk menganalisis dampak salinitas terhadap unsur hara N, P, dan K pada tanaman dan tanah menggunakan indeks vegetasi. Penelitian dilakukan di lahan sawah Kecamatan Jabon, Kabupaten Sidoarjo, Jawa Timur sebagai lokasi salinitas akibat intrusi air laut. Penentuan lokasi berdasarkan nilai daya hantar listrik dan Na-dd tanah. Pelaksanaan analisis laboratorium dilakukan di dua tempat yaitu di Laboratorium Fakultas Pertanian Universitas Brawijaya, Kota Malang, Jawa Timur dan Laboratorium Universitas Muhammadiyah Malang, Kota Malang, Jawa Timur. Pelaksanaan penelitian dilakukan mulai bulan Juli sampai dengan Oktober 2020. Tahapan penelitian yang dilakukan meliputi kegiatan pra-survei, survei, dan pasca survei. Pendugaan salinitas lahan dilakukan menggunakan UAV (drone) dan perolehan data didapatkan dari pengujian melalui laboratorium. Hasil pengambilan foto udara ditransformasikan menggunakan indeks vegetasi untuk mendapatkan digital number, kemudian dihubungkan dengan data lapangan menggunakan uji korelasi dan regresi. Analisis statistika meliputi uji normalitas, uji korelasi dan regresi, dan uji validasi. Hasil penelitian menunjukkan bahwa salinitas berpengaruh terhadap unsur hara N, P, dan K dalam tanah dan tanaman. Titik lokasi penelitian yang semakin mendekati sumber salin maka salinitas semakin meningkat dan unsur hara N, P, dan K semakin menurun. Berdasarkan pemanfaatan beberapa indeks vegetasi seperti SR, NGRDI, NDSI, NDVI, TNDVI, GNDVI, SAVI, MSAVI, dan OSAVI. Tetapi, hanya MSAVI yang dapat diterapkan dalam mengestimasikan beberapa parameter seperti N, P, K tanaman dan N, P, K tanah dengan reliabilitas 0,31, 0,34, 0,34, 0,33, 0,34, dan 0,34.
English Abstract
Paddy is a primary food commodity for human lives. Paddy is a food crop that has the highest contribution in providing carbohydrates as the energy insulation for daily activities. As a paddy producing country to 3 from 10 paddy producing countries in the world, Indonesia sees the needs of rice in Indonesia almost reach 90%. Paddy production in Indonesia has decreased by -6.83% in the last 5 years. This is due to the high population causing the mobilization of agricultural land to saline land. It is necessary to analyze the production potential using aerial photos from UAV that is expected can be used as a reference for decision-making strategies. Seeing this, the research was conducted to analyze the impact of salinity on macronutrients such as N, P, and K on plants and soil using vegetation indices. The research was done in the Jabon District paddy field, Sidoarjo Regency, East Java as salinity locations due to seawater intrusion. Determination of location based on the value of electrical conductivity of the ground. The laboratory analysis was carried out in two places in the Laboratory of the Faculty of Agriculture, Brawijaya University, Malang City, East Java and Muhammadiyah University Laboratory Malang, Malang City, East Java. The research was start from July to October 2020. The stages of the research include pre-survey, survey, and post- survey activities. Estimation of land salinity was using a UAV (drone) tool and data obtained from laboratory testing. The results of taking aerial photographs were transformed using a vegetation index to obtain a digital number, then correlated with field data using correlation and regression tests. Statistical analysis through normality tests, regression correlation tests, and validation tests. The results that salinity stress affected N, P, and K nutrients in soils and plants. The research location that is getting closer to the source of saline, the salinity stress was increasing and the nutrients of N, P, and K were decreasing. Utilization of several vegetation indices such as SR, NGRDI, NDSI, NDVI, TNDVI, GNDVI, SAVI, MSAVI, and OSAVI. But only MSAVI can be applied in estimating such as N, P, K plants and N, P, K soils with reliability some parameter are 0.31, 0.34, 0.34, 0.33, 0.34, and 0.34.
Other obstract
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| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | 0522040067 |
| Subjects: | 600 Technology (Applied sciences) > 631 Specific techniques; apparatus, equipment materials > 631.4 Soil science |
| Divisions: | Fakultas Pertanian > Ilmu Tanah |
| Depositing User: | Nur Cholis |
| Date Deposited: | 19 Jul 2022 06:33 |
| Last Modified: | 01 Oct 2024 06:30 |
| URI: | http://repository.ub.ac.id/id/eprint/192300 |
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