PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION
Balinese character are a vital means to know the culture of Bali in depth, because Balinese character serves as a means to write a wide range of religious issues, customs, literature and so forth. Balinese character in use is not always written sequentially like Latin character. In the formation of...
| Main Authors: | , |
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| Format: | Thesis |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
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| _version_ | 1797032644099178496 |
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| author | , I MADE GEDE SUNARYA , Drs. Agus Harjoko, M.sc., Ph.D |
| author_facet | , I MADE GEDE SUNARYA , Drs. Agus Harjoko, M.sc., Ph.D |
| author_sort | , I MADE GEDE SUNARYA |
| collection | UGM |
| description | Balinese character are a vital means to know the culture of Bali in depth,
because Balinese character serves as a means to write a wide range of religious
issues, customs, literature and so forth. Balinese character in use is not always
written sequentially like Latin character. In the formation of a word or phrase in
Balinese character, the characters can be combined at the top, bottom or side of a
core character.
This study aims to develop a prototype application to recognize the characters
on the image of a printed Balinese text and know the level of recognition accuracy
of the characters on the printed Balinese text. The method used for the recognition
is Backpropagation Neural Network (ANN-BP). Implementation of the algorithms
in the development of Balinese character recognition prototype software is able to
recognize characters on printed Balinese text with error on the training images of
3.43% and 10% in testing image. |
| first_indexed | 2024-03-13T22:41:30Z |
| format | Thesis |
| id | oai:generic.eprints.org:100112 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:41:30Z |
| publishDate | 2012 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1001122016-03-04T08:47:03Z https://repository.ugm.ac.id/100112/ PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION , I MADE GEDE SUNARYA , Drs. Agus Harjoko, M.sc., Ph.D ETD Balinese character are a vital means to know the culture of Bali in depth, because Balinese character serves as a means to write a wide range of religious issues, customs, literature and so forth. Balinese character in use is not always written sequentially like Latin character. In the formation of a word or phrase in Balinese character, the characters can be combined at the top, bottom or side of a core character. This study aims to develop a prototype application to recognize the characters on the image of a printed Balinese text and know the level of recognition accuracy of the characters on the printed Balinese text. The method used for the recognition is Backpropagation Neural Network (ANN-BP). Implementation of the algorithms in the development of Balinese character recognition prototype software is able to recognize characters on printed Balinese text with error on the training images of 3.43% and 10% in testing image. [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , I MADE GEDE SUNARYA and , Drs. Agus Harjoko, M.sc., Ph.D (2012) PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=56916 |
| spellingShingle | ETD , I MADE GEDE SUNARYA , Drs. Agus Harjoko, M.sc., Ph.D PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION |
| title | PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION |
| title_full | PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION |
| title_fullStr | PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION |
| title_full_unstemmed | PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION |
| title_short | PENGENALAN AKSARA BALI TERCETAK PADA CITRA DOKUMEN MENGGUNAKAN MULTI LAYER PERCEPTRON DENGAN PEMBELAJARAN BACKPROPAGATION |
| title_sort | pengenalan aksara bali tercetak pada citra dokumen menggunakan multi layer perceptron dengan pembelajaran backpropagation |
| topic | ETD |
| work_keys_str_mv | AT imadegedesunarya pengenalanaksarabalitercetakpadacitradokumenmenggunakanmultilayerperceptrondenganpembelajaranbackpropagation AT drsagusharjokomscphd pengenalanaksarabalitercetakpadacitradokumenmenggunakanmultilayerperceptrondenganpembelajaranbackpropagation |