Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition
Identity (ID) card forgery remains a significant issue in Indonesia, often leading to crimes such as identity theft and fraud. To address this challenge, this study proposes the development of an identity authentication system that integrates near field communication (NFC) and facial recognition bas...
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| Format: | Article |
| Language: | English |
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Universitas Syiah Kuala
2025-06-01
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| Series: | Jurnal Rekayasa Elektrika |
| Subjects: | |
| Online Access: | https://jurnal.usk.ac.id/JRE/article/view/41142 |
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| author | Chairullah Chairullah Yuwaldi Away Maulisa Oktiana |
| author_facet | Chairullah Chairullah Yuwaldi Away Maulisa Oktiana |
| author_sort | Chairullah Chairullah |
| collection | DOAJ |
| description | Identity (ID) card forgery remains a significant issue in Indonesia, often leading to crimes such as identity theft and fraud. To address this challenge, this study proposes the development of an identity authentication system that integrates near field communication (NFC) and facial recognition based on K-nearest neighbors (KNN) algorithm. The primary objective of this system is to enhance the security of ID card (KTP) data and to ensure efficient and accurate access to services requiring identity verification. The system stores facial data and ID card information securely in Firebase, which serves both as a user authentication platform and a secure cloud-based storage solution. The application, developed using Flutter, incorporates facial recognition for biometric verification, while NFC is employed as an additional authentication layer to provide dual-factor verification and reinforce identity security. Experimental results demonstrate that the facial recognition based on KKN achieved an accuracy rate of 100% with a false acceptance rate (FAR) of 0%, indicating a highly reliable performance. These findings confirm that the integration of facial recognition and NFC technologies offers a robust and effective solution to combat ID card forgery, thereby improving the overall reliability and security of the population data authentication system in Indonesia. |
| format | Article |
| id | doaj-art-5b666806341f4c5cb95d5675afcee40f |
| institution | Kabale University |
| issn | 1412-4785 2252-620X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Universitas Syiah Kuala |
| record_format | Article |
| series | Jurnal Rekayasa Elektrika |
| spelling | doaj-art-5b666806341f4c5cb95d5675afcee40f2025-08-20T03:50:06ZengUniversitas Syiah KualaJurnal Rekayasa Elektrika1412-47852252-620X2025-06-0121210.17529/jre.v21i2.4114220699Authentication of an Indonesian ID Card with Simultaneous NFC and Face RecognitionChairullah Chairullah0Yuwaldi Away1Maulisa Oktiana2Universitas Syiah KualaUniversitas Syiah KualaUniversitas Syiah KualaIdentity (ID) card forgery remains a significant issue in Indonesia, often leading to crimes such as identity theft and fraud. To address this challenge, this study proposes the development of an identity authentication system that integrates near field communication (NFC) and facial recognition based on K-nearest neighbors (KNN) algorithm. The primary objective of this system is to enhance the security of ID card (KTP) data and to ensure efficient and accurate access to services requiring identity verification. The system stores facial data and ID card information securely in Firebase, which serves both as a user authentication platform and a secure cloud-based storage solution. The application, developed using Flutter, incorporates facial recognition for biometric verification, while NFC is employed as an additional authentication layer to provide dual-factor verification and reinforce identity security. Experimental results demonstrate that the facial recognition based on KKN achieved an accuracy rate of 100% with a false acceptance rate (FAR) of 0%, indicating a highly reliable performance. These findings confirm that the integration of facial recognition and NFC technologies offers a robust and effective solution to combat ID card forgery, thereby improving the overall reliability and security of the population data authentication system in Indonesia.https://jurnal.usk.ac.id/JRE/article/view/41142id cardnfcface recognitionknnauthentication |
| spellingShingle | Chairullah Chairullah Yuwaldi Away Maulisa Oktiana Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition Jurnal Rekayasa Elektrika id card nfc face recognition knn authentication |
| title | Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition |
| title_full | Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition |
| title_fullStr | Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition |
| title_full_unstemmed | Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition |
| title_short | Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition |
| title_sort | authentication of an indonesian id card with simultaneous nfc and face recognition |
| topic | id card nfc face recognition knn authentication |
| url | https://jurnal.usk.ac.id/JRE/article/view/41142 |
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