Augmented reality using Natural Feature Tracking (NFT) method for learning media of makharijul huruf
| Autor: | Khoiruddin Mukhtar, Uwes Fatoni, Syita Ulfah, Hajir Tajiri, Diena Rauda Ramdania, Ahmad Sarbini |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
Arabic business.industry White-box testing Natural feature tracking Beta testing computer.software_genre language.human_language language Augmented reality Artificial intelligence business computer Word (computer architecture) Natural language processing Sentence Meaning (linguistics) |
| Zdroj: | IOP Conference Series: Materials Science and Engineering. 874:012019 |
| ISSN: | 1757-899X 1757-8981 |
| DOI: | 10.1088/1757-899x/874/1/012019 |
| Popis: | Makharijul huruf is the place of the letter hijaiyah (Arabic letters) from alif to ya. If someone mistakes in reciting a letter on al-Qur’an then the meaning of the word or sentence may be different from the meaning of the original word. Few learning media that provides information about makharijul huruf such as school academic books, books of tajwid al-Qur’an, etc. However, to make terms of visual and audio clearer we can use augmented reality technology as a learning media. Augmented reality for makharijul huruf requires a marker of hijaiyah in printing form. Tracking marker in this research using Natural Feature Tracking (NFT) method. In the application of learning this makharijul huruf will produce a 3D object visualization of the oral organs and audio sounds hijaiyah letters and explanations about makharijul huruf. The results of black box testing and beta testing states that this application can be accepted by users by obtaining a percentage of 91%. It can be concluded that applications built functionally have produced results as expected. |
| Databáze: | OpenAIRE |
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