Sudjianto, Finna (2015) Analisa Tingkat Kesuburan Kelapa Sawit Berdasarkan Citra Landsat 8 Menggunakan Metode Klasifikasi Terselia (Studi Kasus: Kecamatan Pelaihari, Kabupaten Tanah Laut, Kalimantan Sel. Undergraduate thesis, Institut Technology Sepuluh Nopember.
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Abstract
Tanaman kelapa sawit merupakan tanaman perkebunan
yang sekarang ini banyak diusahakan baik oleh petani pekebun
maupun perusahaan. Kelapa Sawit sebagai salah satu komoditi
hasil perkebunan yang mempunyai peran cukup penting dalam
kegiatan perekonomian di Indonesia. Penelitian ini bertujuan
untuk mengetahui tingkat kesuburan kelapa sawit dan seberapa
besar pengaruh Nitrogen (N) dan PH terhadap kesuburan kelapa
sawit.
Perkebunan kelapa sawit merupakan area yang luas
sehingga dalam pengamatan kesuburan kelapa sawit ini
menggunakan citra satelit. Citra yang digunakan dalam
penelitian ini adalah citra satelit LANDSAT 8 tahun 2014. Dalam
menentukan kelas tingkat kesuburan, digunakan metode
klasifikasi terselia maximum likelihood.
Kandungan Nitrogen (N) terhadap sampel tanah yang
diuji tergolong sedang dengan rata-rata 0,22%. Sedangkan
reaksi tanah (PH) menunjukkan tingkat yang asam dengan ratarata
5,42. Sehingga faktor yang mempengaruhi tingkat kesuburan
kelapa sawit adalah reaksi tanah (PH) karena keasaman PH
tanah mempengaruhi serapan hara oleh tanaman. Peta klasifikasi
vi
menunjukkan 3 kelas obyek klasifikasi dengan dominan kelas
obyek klasifikasinya adalah sawit tidak subur seluas 12,023.805
Ha. Hal ini dikarenakan kandungan Nitrogen (N) yang berperan
dalam pembentukan klorofil sedikit diserap oleh tanaman
sehingga nilai indeks vegetasi (NDVI) bernilai 0,11 – 0,21.
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Oil palm is a plant of plantations that is now widely
cultivated both by farmers planters and companies. Oil palm as
one of commodity crop that has an important role for economic
activities in Indonesia. The purpose of this study is knowing the
oil palm fertility and how affecting Nitrogen (N) and PH to oil
palm fertility.
Oil palm plantattions has a large area so that oil palm
fertility observation is using the satellite imagery. Imagery used
in this study is a satellite image LANDSAT 8 2014. Determining
the fertility level classes, supervised classification maximum
likelihood method is used.
Nitrogen (N) of the soil samples were teste was in the
middle of criteria with an average of 0,22%. While the soil
reaction (PH) demonstrated that it’s on acid levels by an average
of 5.42. So the factor that affecting the oil palm fertility is soil
reaction (pH) because the acidity of the soil pH affects the
nutrient uptake by plants. Classification map shows three classes
of objects classification with the dominant class of object
classification is unfertilite oil palm which an area of 12,023.805
hectares. This is caused by the content of nitrogen (N), which has
an important role in formationing of chlorophyll absorbed by the
viii
plant just a little so the value of vegetation index (NDVI) is 0,11 –
0,21.
Item Type: | Thesis (Undergraduate) |
---|---|
Additional Information: | RSG 621.367 8 Sud a |
Uncontrolled Keywords: | Kelapa Sawit, Klasifikasi Terselia, Landsat 8, Maximum Likelihood |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing H Social Sciences > HT Communities. Classes. Races > HT133 City and Towns. Land use,urban |
Divisions: | Faculty of Civil, Environmental, and Geo Engineering > Geomatics Engineering > 29202-(S1) Undergraduate Theses |
Depositing User: | Mr. Tondo Indra Nyata |
Date Deposited: | 20 Sep 2019 06:36 |
Last Modified: | 20 Sep 2019 06:36 |
URI: | http://repository.its.ac.id/id/eprint/70854 |
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