Nathan Gilbert Pasaribu, . (2025) EFISIENSI ENTRI DATA DIRI SISTEM INFORMASI VETERAN MENGGUNAKAN TESSERACT. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (167kB) |
|
Text
AWAL.pdf Download (1MB) |
|
Text
BAB 1.pdf Restricted to Repository UPNVJ Only Download (299kB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (744kB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (348kB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (1MB) |
|
Text
BAB 5.pdf Download (266kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (229kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (3MB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (105kB) |
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (12MB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (381kB) |
Abstract
This study aims to evaluate the performance of an Optical Character Recognition (OCR) system in extracting data from Indonesian identity cards (KTP). The developed system was assessed based on three main aspects: extraction accuracy, processing time, and efficiency compared to manual data entry. The results show that the OCR system achieved an average accuracy rate of 90%. The average processing time for a single KTP image was 1.68 seconds, with the fastest time recorded at 1.26 seconds and the slowest at 2.93 seconds. Additionally, the implementation of OCR reduced data input time by up to 97% compared to manual methods. However, extraction accuracy varied across different data fields, with RT/RW achieving the lowest success rate at 70%. Based on these findings, it is recommended to explore alternative OCR models such as EasyOCR or TrOCR, as well as improve datasets and preprocessing methods to enhance extraction accuracy.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | No. Panggil: 2110511039 Pembimbing: Indra Permana Solihin Penguji 1: Dr. Didit Widiyanto Penguji 2: Kharisma Wiati Gusti |
| Uncontrolled Keywords: | OCR, KTP, data extraction, Tesseract, accuracy, time efficiency |
| Subjects: | T Technology > T Technology (General) T Technology > TR Photography |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | NATHAN GILBERT PASARIBU |
| Date Deposited: | 14 Aug 2025 07:39 |
| Last Modified: | 14 Aug 2025 07:39 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37209 |
Actions (login required)
 |
View Item |