KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS (Studi Kasus : Kecamatan Dlingo dan Sekitarnya)
Identification of critical land is generally done using the scoring method by overlaying maps of determinants (variables) of critical land. Non-scoring methods such as Artificial Neural Networks is rarely used. This research is expected to be an alternative reference method in the determination of c...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2012
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| author | , NURSIDA ARIF , Drs. Projo Danoedoro, M.Sc.,PhD. |
| author_facet | , NURSIDA ARIF , Drs. Projo Danoedoro, M.Sc.,PhD. |
| author_sort | , NURSIDA ARIF |
| collection | UGM |
| description | Identification of critical land is generally done using the scoring method
by overlaying maps of determinants (variables) of critical land. Non-scoring
methods such as Artificial Neural Networks is rarely used. This research is
expected to be an alternative reference method in the determination of critical land
that often uses spatial data. The purpose of this study was to determine the
accuracy of the identification of critical land using Artificial Neural Networks by
comparing the results of classification using spectral data and non-spectral data in
the identification of critical land, and determine the effect of changing parameters
of Artificial Neural Networks on the accuracy of the identification of critical land
(iteration, the hidden layer, momentum, learning rate and RMS error).
The research methodology consists of several stages of data collection,
correction of image radiometry and geometry, field orientation, selection of the
training areas, execution of the classification results using artificial neural network
methods, as well as determining the accuracy of the test samples. The critical land
parameters used are vegetation cover, slope, and depth of solume and soil texture.
The sampling method used in this study was stratified random sampling method.
The results of the research are in the form of critical lands map derived
using neural network classification. The highest accuracy is obtained in a
simulation using 7 channels by combining spectral and non spectral data that is
83.33%, occurred in the parameter with 1 (one) hidden layer |
| first_indexed | 2024-03-13T22:34:11Z |
| format | Thesis |
| id | oai:generic.eprints.org:97882 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:34:11Z |
| publishDate | 2012 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:978822016-03-04T08:47:59Z https://repository.ugm.ac.id/97882/ KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS (Studi Kasus : Kecamatan Dlingo dan Sekitarnya) , NURSIDA ARIF , Drs. Projo Danoedoro, M.Sc.,PhD. ETD Identification of critical land is generally done using the scoring method by overlaying maps of determinants (variables) of critical land. Non-scoring methods such as Artificial Neural Networks is rarely used. This research is expected to be an alternative reference method in the determination of critical land that often uses spatial data. The purpose of this study was to determine the accuracy of the identification of critical land using Artificial Neural Networks by comparing the results of classification using spectral data and non-spectral data in the identification of critical land, and determine the effect of changing parameters of Artificial Neural Networks on the accuracy of the identification of critical land (iteration, the hidden layer, momentum, learning rate and RMS error). The research methodology consists of several stages of data collection, correction of image radiometry and geometry, field orientation, selection of the training areas, execution of the classification results using artificial neural network methods, as well as determining the accuracy of the test samples. The critical land parameters used are vegetation cover, slope, and depth of solume and soil texture. The sampling method used in this study was stratified random sampling method. The results of the research are in the form of critical lands map derived using neural network classification. The highest accuracy is obtained in a simulation using 7 channels by combining spectral and non spectral data that is 83.33%, occurred in the parameter with 1 (one) hidden layer [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , NURSIDA ARIF and , Drs. Projo Danoedoro, M.Sc.,PhD. (2012) KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS (Studi Kasus : Kecamatan Dlingo dan Sekitarnya). UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=52952 |
| spellingShingle | ETD , NURSIDA ARIF , Drs. Projo Danoedoro, M.Sc.,PhD. KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS (Studi Kasus : Kecamatan Dlingo dan Sekitarnya) |
| title | KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS
CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS
(Studi Kasus : Kecamatan Dlingo dan Sekitarnya) |
| title_full | KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS
CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS
(Studi Kasus : Kecamatan Dlingo dan Sekitarnya) |
| title_fullStr | KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS
CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS
(Studi Kasus : Kecamatan Dlingo dan Sekitarnya) |
| title_full_unstemmed | KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS
CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS
(Studi Kasus : Kecamatan Dlingo dan Sekitarnya) |
| title_short | KAJIAN KEMAMPUAN JARINGAN SYARAF TIRUAN BERBASIS
CITRA ALOS DALAM IDENTIFIKASI LAHAN KRITIS
(Studi Kasus : Kecamatan Dlingo dan Sekitarnya) |
| title_sort | kajian kemampuan jaringan syaraf tiruan berbasis citra alos dalam identifikasi lahan kritis studi kasus kecamatan dlingo dan sekitarnya |
| topic | ETD |
| work_keys_str_mv | AT nursidaarif kajiankemampuanjaringansyaraftiruanberbasiscitraalosdalamidentifikasilahankritisstudikasuskecamatandlingodansekitarnya AT drsprojodanoedoromscphd kajiankemampuanjaringansyaraftiruanberbasiscitraalosdalamidentifikasilahankritisstudikasuskecamatandlingodansekitarnya |