PENGENALAN CITRA HURUF HIJAIAH MENGGUNAKAN METODE GRAY LEVEL CO-OCCURRENCE MATRICES (GLCM) DENGAN 4 SUDUT ORIENTASI DAN JARINGAN SYARAF TIRUAN BACKPROPAGATION

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PENGENALAN CITRA HURUF HIJAIAH MENGGUNAKAN METODE GRAY LEVEL CO-OCCURRENCE MATRICES (GLCM) DENGAN 4 SUDUT ORIENTASI DAN JARINGAN SYARAF TIRUAN BACKPROPAGATION

Muhlis Fathurrahman - Nama Orang;

Arabic is one of the international languages according to the United Nations (UN) which was adopted by General Council
resolution 3190 (XXVIII) as the official language and working language of the General Counsel and Main Committees on
18 December 1973. Arabic can be found in the holy book Al - Qur'an. For a Muslim, it is obligatory to learn and master
Arabic in order to read and understand the contents of the Al-Qur'an. job applicants from Indonesia also have to learn
Arabic. The Hijaiiyah letter has the same role as the alphabet, which is to compose every word and sentence. Humans
have a natural intelligence to be able to recognize each Hijaiiyah letter based on the special characteristics or patterns
contained in each letter. However, natural intelligence has deficiencies such as inconsistencies in assessing the similarity
of each handwritten Hijaiiyah letter from different people. Therefore, this research will develop a system for identifying
or recognizing Hijaiiyah handwritten patterns using the Gray Level Co-occurrence Matrices (GLCM) method with 4
orientation angles and Backpropagation Artificial Neural Network (ANN). Data was collected using the Autodesk
Sketchbook application so that can reduce the noise. The purpose of this research is to know the level of accuracy and
precision of the classification of the Hijaiiyah letter pattern. In this research, the numbers of data were 1500 images of
Hijaiiyah letters. The highest accuracy is 45.1111% with a precision of 45.1111%.

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Judul Seri: -
No. Panggil: 629.892.Muh.p
Penerbit: Universitas Mataram : Fakultas Teknik Unram., 2021
Deskripsi Fisik: ix,54 Hlm; Illus;21x29 cm
Bahasa
ISBN/ISSN: -
Klasifikasi: 629.892
Tipe Isi: other
Tipe Media: computer
Tipe Pembawa: audio disc
Edisi: Edisi 1 Jilid 1
Subjek: -
Info Detail Spesifik: ORIENTASI DAN JARINGAN SYARAF TIRUAN BACKPROPAGATION
Pernyataan Tanggungjawab: Muhlis Fathurrahman

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PENGENALAN CITRA HURUF HIJAIAH MENGGUNAKAN METODE GRAY LEVEL CO-OCCURRENCE MATRICES (GLCM) DENGAN 4 SUDUT ORIENTASI DAN JARINGAN SYARAF TIRUAN BACKPROPAGATION

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