PEMODELAN ESTIMASI PRODUKSI TANAMAN KARET (Hevea brasiliensis Muell.-Arg) BERBASIS CITRA SATELIT, POTENSI GENETIK, DAN DATA SATUAN MEDAN (Studi Kebun Getas, PTPN IX, Salatiga, Kabupaten Semarang, Jawa Tengah)
| Main Authors: | , Imam Susetyo, , Drs. Projodanoedoro, MSc, PhD., |
|---|---|
| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2013
|
| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/119394/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=59393 |
| ctrlnum |
119394 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>https://repository.ugm.ac.id/119394/</relation><title>PEMODELAN ESTIMASI PRODUKSI
TANAMAN KARET (Hevea brasiliensis Muell.-Arg) BERBASIS
CITRA SATELIT, POTENSI GENETIK, DAN DATA SATUAN MEDAN
(Studi Kebun Getas, PTPN IX, Salatiga, Kabupaten Semarang, Jawa Tengah)</title><creator>, Imam Susetyo</creator><creator>, Drs. Projodanoedoro, MSc, PhD.,</creator><subject>ETD</subject><description>In national rubber plantation as well as private, one of the activities that has been
done annually is estimate production for the following year based on certain block
of rubber plantation. Establishing the estimation of the production according to
land and plants potential is important because the estimation of production which
is not appropriate will cause the production of following year disturbed even the
economical life of the plant will be reduced. The modeling estimation of rubber
tree production based on satelit, genetic potential and field unit data aimed to (1)
examining the ability of remote sensing and geographical information system to
identification of rubber tree and manage the production in the rubber plantation
(2) examining the relationship the variation of the spectral reflection value (band
VNIR), vegetation index, leaf area indexs (LAI) toward rubber plant production (3)
making estimation of rubber tree production model, based on satelit data, plant
genetic potential (clone variety and physiological quality), and environment
conditions (climate and soil). Determining production method are divided into two,
those are qualitative and quantitative. Qualitative is done by ranging the crown
density based on NDVI with map of land capability. The quantitative models is
done based on raster spatially model with the smallest unit is 15 x15 meter. The
factor which can be used as a model is the crown density level, spectral reflection
value that sourced from Satelit data (ASTER), genetic potential (clone variety and
physiological quality), and field unit data (soil and climate). Rubber identification
using satelit data based on visual interpretation and NDVI classification showed
75,52 % and 99,90 %. The regression result showed that the highest
determination coefficient (r2) is the red wave length with the age of percent of age
off rubber tree coefficient about 5-15 years is 79,3% and the age of 6-25 years is
97,6%. The production models with the percentage of highest accuracy is model
based the red wave length, genetic potential, and field unit data with percentage
accuracy 74,00% ( first model ), 68,73% ( second model) and 64,81% (third
model ).</description><publisher>[Yogyakarta] : Universitas Gadjah Mada</publisher><date>2013</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><identifier> , Imam Susetyo and , Drs. Projodanoedoro, MSc, PhD., (2013) PEMODELAN ESTIMASI PRODUKSI TANAMAN KARET (Hevea brasiliensis Muell.-Arg) BERBASIS CITRA SATELIT, POTENSI GENETIK, DAN DATA SATUAN MEDAN (Studi Kebun Getas, PTPN IX, Salatiga, Kabupaten Semarang, Jawa Tengah). UNSPECIFIED thesis, UNSPECIFIED. </identifier><relation>http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=59393</relation><recordID>119394</recordID></dc>
|
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview |
| author |
, Imam Susetyo , Drs. Projodanoedoro, MSc, PhD., |
| title |
PEMODELAN ESTIMASI PRODUKSI
TANAMAN KARET (Hevea brasiliensis Muell.-Arg) BERBASIS
CITRA SATELIT, POTENSI GENETIK, DAN DATA SATUAN MEDAN
(Studi Kebun Getas, PTPN IX, Salatiga, Kabupaten Semarang, Jawa Tengah) |
| publisher |
[Yogyakarta] : Universitas Gadjah Mada |
| publishDate |
2013 |
| topic |
ETD |
| url |
https://repository.ugm.ac.id/119394/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=59393 |
| contents |
In national rubber plantation as well as private, one of the activities that has been
done annually is estimate production for the following year based on certain block
of rubber plantation. Establishing the estimation of the production according to
land and plants potential is important because the estimation of production which
is not appropriate will cause the production of following year disturbed even the
economical life of the plant will be reduced. The modeling estimation of rubber
tree production based on satelit, genetic potential and field unit data aimed to (1)
examining the ability of remote sensing and geographical information system to
identification of rubber tree and manage the production in the rubber plantation
(2) examining the relationship the variation of the spectral reflection value (band
VNIR), vegetation index, leaf area indexs (LAI) toward rubber plant production (3)
making estimation of rubber tree production model, based on satelit data, plant
genetic potential (clone variety and physiological quality), and environment
conditions (climate and soil). Determining production method are divided into two,
those are qualitative and quantitative. Qualitative is done by ranging the crown
density based on NDVI with map of land capability. The quantitative models is
done based on raster spatially model with the smallest unit is 15 x15 meter. The
factor which can be used as a model is the crown density level, spectral reflection
value that sourced from Satelit data (ASTER), genetic potential (clone variety and
physiological quality), and field unit data (soil and climate). Rubber identification
using satelit data based on visual interpretation and NDVI classification showed
75,52 % and 99,90 %. The regression result showed that the highest
determination coefficient (r2) is the red wave length with the age of percent of age
off rubber tree coefficient about 5-15 years is 79,3% and the age of 6-25 years is
97,6%. The production models with the percentage of highest accuracy is model
based the red wave length, genetic potential, and field unit data with percentage
accuracy 74,00% ( first model ), 68,73% ( second model) and 64,81% (third
model ). |
| id |
IOS2744.119394 |
| institution |
Universitas Gadjah Mada |
| institution_id |
19 |
| institution_type |
library:university library |
| library |
Perpustakaan Pusat Universitas Gadjah Mada |
| library_id |
488 |
| collection |
UGM Repository |
| repository_id |
2744 |
| subject_area |
Karya Umum |
| city |
SLEMAN |
| province |
DAERAH ISTIMEWA YOGYAKARTA |
| repoId |
IOS2744 |
| first_indexed |
2016-09-14T18:30:31Z |
| last_indexed |
2016-09-22T21:44:32Z |
| recordtype |
dc |
| _version_ |
1765816373872689152 |
| score |
17.538404 |