Penerapan Convolutional Neural Networks untuk Mesin Penerjemah
Bahasa Daerah Minangkabau Berbasis Gambar

Penerapan Convolutional Neural Networks untuk Mesin Penerjemah
Bahasa Daerah Minangkabau Berbasis Gambar

Convolutional Neural Networks, Translation, Indonesia Language, Local Language Minangkabau, Optical
Character Recognition (OCR)

One of efforts by the Indonesian people to defend the country is to preserve and to maintain the regional languages. The current
era of modernity makes the regional language image become old-fashioned, so that most them are no longer spoken. If it is
ignored, then there will be a cultural identity crisis that causes regional languages to be vulnerable to extinction. Technological
developments can be used as a way to preserve regional languages. Digital image-based artificial intelligence technology
using machine learning methods such as machine translation can be used to answer the problems. This research will use Deep
Learning method, namely Convolutional Neural Networks (CNN). Data of this research were 1300 alphabetic images, 5000
text images and 200 vocabularies of Minangkabau regional language. Alphabetic image data is used for the formation of the
CNN classification model. This model is used for text image recognition, the results of which will be translated into regional
languages. The accuracy of the CNN model is 98.97%, while the accuracy for text image recognition (OCR) is 50.72%. This
low accuracy is due to the failure of segmentation on the letters i and j. However, the translation accuracy increases after the
implementation of the Leveinstan Distance algorithm which can correct text classification errors, with an accuracy value of
75.78%. Therefore, this research has succeeded in implementing the Convolutional Neural Networks (CNN) method in
identifying text in text images and the Leveinstan Distance method in translating Indonesian text into regional language texts

Mayanda Mega Santoni1
, Nurul Chamidah2
, Desta Sandya Prasvita3
, Helena Nurramdhani Irmanda4
, Ria
Astriratma5
, Reza Amarta Prayoga

UPN Veteran Jakarta

30-12-2021

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Indonesia

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