Identifikasi Tutupan Lahan Perkebunan Dan Potensi Hasil Panen Tebu Menggunakan Citra Satelit Dengan Metode Linear Spectral Unmixing (Studi Kasus: Kabupaten Ngawi)

Fikri, Muhammad Alvin Ali (2023) Identifikasi Tutupan Lahan Perkebunan Dan Potensi Hasil Panen Tebu Menggunakan Citra Satelit Dengan Metode Linear Spectral Unmixing (Studi Kasus: Kabupaten Ngawi). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tebu (Saccharum spp) merupakan tanaman dengan kandungan sukrosa tinggi dan merupakan sumber pemenuhan kebutuhan gula terbesar di Indonesia. Kabupaten Ngawi merupakan salah satu produsen tebu terbesar di Jawa Timur dengan total lahan perkebunan sebesar 4,500 ha pada Tahun 2022. Berdasarkan data Proyeksi Neraca Gula Nasional 2017-2021 diketahui bahwa Indonesia mengalami tren peningkatan defisit gula. Oleh karena itu, pemantauan sebaran tutupan lahan perkebunan dan potensi hasil panen tebu dibutuhkan sebagai informasi dasar untuk meningkatkan potensi produktivitas tebu. Salah satu metode digunakan untuk mengidentifikasi sebaran tutupan lahan perkebunan tebu adalah linear spectral unmixing. Metode ini memanfaatkan spektral murni (endmember) tebu yang diakuisisi menggunakan spektrometer. Data hasil panen tebu dari tahun 2018 hingga tahun 2022 yang dirilis oleh BPS Kabupaten Ngawi digunakan dalam pembuatan prediksi Potensi Hasil Panen Tebu menggunakan metode regresi linear. Hasil yang diperoleh dari penelitian ini berupa peta fraksi tanaman tebu dan luasan lahan perkebunan tebu di Kabupaten Ngawi serta prediksi potensi hasil panen tebu. Dari hasil pengolahan diketahui bahwa pada tahun 2022 Kabupaten Ngawi memiliki lahan perkebunan tebu seluas 4136,560 hektar. Uji akurasi dilakukan di Desa Rejuno dengan 68 titik sampel dan diketahui overall accuracy sebesar 88,24% serta kappa accuracy sebesar 76,31%. Potensi hasil panen tebu dengan variabel tahun menghasilkan nilai korelasi pearson sebesar 0,802 sementara pada variabel luasan lahan dihasilkan nilai korelasi pearson sebesar 0,387
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Sugarcane (Saccharum spp) is a plant with high sucrose content and is the source of the most considerable sugar demand in Indonesia. Ngawi Regency is one of the largest sugarcane producers in East Java with a total plantation area of 4.500 ha in 2022. Based on the data of the National Sugar Balance Projection 2017-2021, it is known that Indonesia has experienced an increasing trend of sugar deficit. Therefore, monitoring the distribution of plantation land cover and potential sugarcane harvest is needed as essential information to increase the potential productivity of sugarcane. One of the methods used to identify the distribution of sugarcane plantation land cover is linear spectral unmixing. This method requires input in the form of pure spectral (endmember) sugarcane obtained by field data acquisition using a spectrometer. Data on sugarcane harvest from 2018 to 2022 released by BPS Ngawi Regency are used in making predictions of Sugarcane Harvest Potential using the linear regression method. The results obtained from this study are in the form of a sugarcane fraction map and sugarcane plantation area in Ngawi Regency and prediction of sugarcane harvest potential. The processing results show that in 2022 Ngawi Regency has a sugarcane plantation area of 4136.560 hectares. Field validation was carried out in Rejuno Village with 68 sample points and it was found overall accuracy at 88.24% and kappa accuracy at 76.31%. The potential for sugarcane harvest with a year variable resulted in a Pearson correlation value of 0.802 while the land area variable resulted in a Pearson correlation value of 0.387

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Endmember, Kabupaten Ngawi, Linear Spectral Unmixing, Potensi Panen, Tebu; Endmember, Linear Spectral Unmixing, Ngawi District, Sugarcane, Yield Prediction
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Muhammad Alvin Ali Fikri
Date Deposited:	10 Oct 2023 06:44
Last Modified:	10 Oct 2023 06:44
URI:	http://repository.its.ac.id/id/eprint/102082

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