Cahyono, muhamad sugeng (2026) Pengembangan Aplikasi Mobile Berbasis OCR (Optical Character Recognition) Untuk Ekstraksi Data Pada Format Pemesanan Online. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
The growth of online business among MSMEs still relies heavily on manual order recording through social media, making it prone to writing errors and inefficient in terms of time. This study aims to address these issues by developing a mobile application based on Optical Character Recognition (OCR) using Google ML Kit combined with Regular Expression (Regex) to automatically transform unstructured order data into structured shipping data. The system is developed using the Waterfall method, with Flutter as the mobile interface framework and Firebase as the database. System evaluation includes Black Box Testing, and System Usability Scale (SUS). The results show that the system performs well with 100% functional validity, high OCR accuracy on digital images (98%) and camera images (85%), but lower accuracy on handwritten text (46%). Additionally, the application significantly improves time efficiency and achieves a SUS score of 79.08, indicating that it is well-accepted and easy to use by users.
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | OCR, Google ML Kit, Regular Expression, Flutter, Firebase, UMKM, pencatatan pesanan, aplikasi mobile | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 457 - Teknik Komputer 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak |
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| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika (Nganjuk) > Tugas Akhir | ||||||
| Depositing User: | Muhamad Sugeng Cahyono | ||||||
| Date Deposited: | 25 May 2026 01:09 | ||||||
| Last Modified: | 25 May 2026 01:09 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/56013 |
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