Aksara Arab-Melayu di Nusantara dan Sumbangsihnya dalam Pengembangan Khazanah Intelektual

Roza, Ellya

doi:10.21111/tsaqafah.v13i1.982

Cited by 15 publications

(19 citation statements)

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“…Bima script, which is the script used before the Malay Arabic script, was used as a medium of information exchange and to write messages and information on the sultanate or work in the fields of religion and diplomacy [24] . At the Samparaja Museum, the number of characters found in ancient manuscripts is dominated by Malay Arabic script as shown in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Learning media for the transliteration of Latin letters into Bima script based on android applications

et al. 2021

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Preservation of Indonesian culture is an important thing that must be considered. One of the efforts that have been made in preserving culture is technological development implementation. In cultural preservation, based on data obtained from 45 respondents from the Bima community in Indonesia, 34.9% of the community does not understand the Bima script. It means that only 65.1% of the community can understand Bima script. This condition will continue to grow if there is no effort made to preserve the Bima script. Because people should have a comprehensive knowledge of the Bima script to understand its usage in writing and reading activities, people tend to have less desire to learn the Bima script. Mataram University is trying to develop creative and innovative learning products to learn the Bima script learning model in an interactive application using a smartphone to translate Latin letters into the script. This development aims to facilitate the process of learning Bima characters for the community. The method that has been used is to apply a string replacement algorithm based on the Bima script rules in the reference book containing the ancient Bima script. According to the experiment result, the alpha test value from 31 respondents is 99.36%, and the Beta test value from 45 respondents Bima society is 91.50%. It can be concluded that this application is feasible as a learning medium.

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Section: Methodsmentioning

confidence: 99%

Learning media for the transliteration of Latin letters into Bima script based on android applications

et al. 2021

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“…Seperti bahasa Melayu sebagai bahasa induk awal datangnya bahasa Indonesia yang memiliki aksara Arab Melayu, Aksara Arab melayu ini di sadur dari bahasa Arab dengan memiliki ke unikan tersendiri baik itu ucapan dan pembacaannya, akan tetapi untuk penulisannya masih mengikuti bahasa Arab. [1] Aksara Arab Melayu merupakan warisan leluhur pada rintisan suku melayu yang terkenal pola tulisannya dari zaman dahulu hingga zaman sekarang. Aksara Arab melayu ini merupakan ciri khas budaya lokal Provinsi Riau.…”

Section: Pendahuluanunclassified

Indentifikasi Pola Aksara Arab Melayu Dengan Jaringan Syaraf Tiruan Convolutional Neural Network (Cnn)

Yanto

Basorudin

Jufri

et al. 2020

JSAI

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Riau province has Malay Arabic script as a traditional cultural heritage of ancient characters that should be preserved; this script is adapted from Arabic writing. This script from Malay Arabic has a unique form that is different from the original Arabic writing adaptation, which is read in a combination of letters forming latin meanings as an introduction to the everyday language of Riau Malay people in the earlier kingdom. Malay Arabic writing became an introduction to the local content of traditional languages in schools. To foster a love for preserving culture, in accordance with current technology that is able to recognize scripting patterns when written in paper, a knowledge base was created by using Matlab software by applying a convolutional Neural Network (CNN) artificial neural network algorithm capable of recognizing script patterns well. The result of image input in the form of handwriting written on paper then in the scanner in the form of JPEG image format. Testing was carried out on four Arabic Malay characters namely alif, ha, la, kho and nun. The result of training for the letter alif (a) epoch is obtained 98 out of 100 iterations with a training length of 3 seconds, furthermore, in validation performance with a result of 0.25013 on epoch 92 of 98 epoch for gradient letters with a value of 0.0071991 on the next epoch 98 in the extras produces an accuracy value of 0.6548 which states the correct result accordingness because it is close to the alif script. In the process of train input the letter kho obtained epoch 80 out of 100 iterations with a training process for 3 seconds, validation performance 0.25153 on epoch 74 out of 80 epoch for check validation with a value of 0.0011682 on the next epoch 80 in the extras obtained an extra value of 0.9326 stated the value is incorrect. Because the result of the extras results in an image that does not come close to the kho letter. Therefore, a study of how the system can recognize Malay Arabic writing patterns with the Convolutional Neural Network (CNN) method because it is very good at identifying image pattern features with an accuracy value of 4.12% of the 10 sample image patterns that have been inputted. With the introduction of imagery patterns from the extraction of features scanned Malay Arabic characters can help the findings of ancient Malay Arabic script as morphological learning of the validity of abstraction of Malay Arabic script is good

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“…Naskah merupakan sebuah tulisan yang mempunyai tujuan untuk mengetahui kisah kehidupan sosial masyarakat dimasa lalu [1]. Naskah arab adalah sebuah kejadian yang pernah terjadi di masa lampau yang diimplementasikan dalam bentuk tulisan (naskah) yang bersifat kekal dan memiliki jumlah yang banyak [2]. Umumnya naskah arab ditulis menggunakan tangan di atas kertas oleh manusia.…”

Section: Pendahuluanunclassified

Penerapan Metode Otsu dalam Melakukan Segmentasi Citra pada Citra Naskah Arab

Sari¹,

Furqan²,

Sriani³

2020

matrik

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Sejarah berdirinya agama Islam di provinsi Sumatera Utara memiliki kisah tersendiri dan telah di tuliskan di dalam naskah arab. Bentuk dari naskah arab bisa rusak karena disimpan begitu lama, dari kerusakan tersebut informasi di dalam naskah menjadi berkurang. Agar dapat mencegah berkurangnya informasi di dalam naskah perlu digitalisasi dengan melakukan proses segmentasi. Segmentasi merupakan metode yang mempunyai tujuan agar dapat memisahkan sebuah gambar menjadi beberapa daerah dan tiap-tiap daerahnya mempunyai atribut yang sama. Untuk dapat melaksanakan proses tersebut penulis mengimplementasikan metode Otsu, dari citra yang telah dimasukkan nilai ambang dapat ditentukan secara otomatis. Metode Otsu bekerja dengan teknik pencarian nilai penyebaran intensitas gambar yang dimasukkan, nilai bobotnya dicari berdasarkan kedua kelasnya, perhitungan rerata terhadap dua kelas, total dari nilai rerata, dan mecari nilai Beetwen Class Variance. Pengimplementasian terhadap sistem yang telah dibuat disimpulkan bahwa tulisan yang terdapat pada naskah arab dapat dilihat dengan jelas jika dibandingkan dengan citra naskah arab sebelum melakukan proses segmentasi.

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Aksara Arab-Melayu di Nusantara dan Sumbangsihnya dalam Pengembangan Khazanah Intelektual

Cited by 15 publications

References 0 publications

Learning media for the transliteration of Latin letters into Bima script based on android applications

Learning media for the transliteration of Latin letters into Bima script based on android applications

Indentifikasi Pola Aksara Arab Melayu Dengan Jaringan Syaraf Tiruan Convolutional Neural Network (Cnn)

Penerapan Metode Otsu dalam Melakukan Segmentasi Citra pada Citra Naskah Arab

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