Penerapan Teknologi Optichal Character Recognition (OCR) pada Aplikasi Pengenalan Tulisan Arab Melayu
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Institusion
Politeknik Negeri Bengkalis
Author
Utami, Fitri Catur
Subject
458 Teknik Informatika
Datestamp
2024-08-30 05:31:35
Abstract :
This research aims to develop an Optical Character Recognition (OCR) based application to recognize, translate, and learn the Arabic-Malay script in Bengkalis. The application is designed to help users easily understand Arabic Malay characters and includes a feature for learning to write Arabic-Malay letters. To enhance performance, this research suggests further development of the OCR algorithm, the addition of training datasets, image preprocessing optimization, and providing usage guidelines for various lighting conditions. Interactive features and improved educational content are also recommended to enrich user experience. The results indicate that the application can recognize and translate Arabic-Malay script with an average accuracy of 25%. The application performs optimally under adequate lighting conditions but experiences a significant decline in accuracy in low-light conditions, particularly at very low lighting levels (3.5 lux). In terms of usability, the application scored 82.7 on the System Usability Scale (SUS), placing it in the "Good" category with a "B" grade, indicating good user acceptance and high usability.
This research aims to develop an Optical Character Recognition (OCR) based application to recognize, translate, and learn the Arabic-Malay script in Bengkalis. The application is designed to help users easily understand Arabic Malay characters and includes a feature for learning to write Arabic-Malay letters. To enhance performance, this research suggests further development of the OCR algorithm, the addition of training datasets, image preprocessing optimization, and providing usage guidelines for various lighting conditions. Interactive features and improved educational content are also recommended to enrich user experience. The results indicate that the application can recognize and translate Arabic-Malay script with an average accuracy of 25%. The application performs optimally under adequate lighting conditions but experiences a significant decline in accuracy in low-light conditions, particularly at very low lighting levels (3.5 lux). In terms of usability, the application scored 82.7 on the System Usability Scale (SUS), placing it in the "Good" category with a "B" grade, indicating good user acceptance and high usability.
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