Identifikasi Arsip Digital dengan Pendekatan Machine Learning
The development of archive digitization technology, especially cameras, is an advantage for archive users. On the other hand, the ease of falsifying by digitizing records for a particular purpose is a problem for archivists in authenticating digital records. The purpose of this study is to identify...
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| Format: | Article |
| Language: | English |
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Arsip Universitas Gadjah Mada
2023-04-01
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| Series: | Khazanah: Jurnal Pengembangan Kearsipan |
| Subjects: | |
| Online Access: | https://jurnal.ugm.ac.id/khazanah/article/view/75359 |
| _version_ | 1797246141565239296 |
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| author | Danish Faiq Ibad Yuadi |
| author_facet | Danish Faiq Ibad Yuadi |
| author_sort | Danish Faiq Ibad Yuadi |
| collection | DOAJ |
| description | The development of archive digitization technology, especially cameras, is an advantage for archive users. On the other hand, the ease of falsifying by digitizing records for a particular purpose is a problem for archivists in authenticating digital records. The purpose of this study is to identify digital sources, especially cameras as one of the tools applied in the archive digitization process. The research methodology combines clustering and classification in machine learning to determine 6 brands of cellphone cameras. The total data used in this experiment is 2400 archived digital images. The experimental results show that the identification rate of classification accuracy is 99%. This shows that this study is very effective in determining the authentication of digital archives, especially determining the source of the camera. |
| first_indexed | 2024-04-24T19:38:05Z |
| format | Article |
| id | doaj.art-ebc467cb815b41df90c9c4382132a4aa |
| institution | Directory Open Access Journal |
| issn | 1978-4880 2580-2186 |
| language | English |
| last_indexed | 2024-04-24T19:38:05Z |
| publishDate | 2023-04-01 |
| publisher | Arsip Universitas Gadjah Mada |
| record_format | Article |
| series | Khazanah: Jurnal Pengembangan Kearsipan |
| spelling | doaj.art-ebc467cb815b41df90c9c4382132a4aa2024-03-25T12:42:46ZengArsip Universitas Gadjah MadaKhazanah: Jurnal Pengembangan Kearsipan1978-48802580-21862023-04-01161415410.22146/khazanah.7535933385Identifikasi Arsip Digital dengan Pendekatan Machine LearningDanish Faiq Ibad Yuadi0Sekolah Menengah Atas Negeri 2 JombangThe development of archive digitization technology, especially cameras, is an advantage for archive users. On the other hand, the ease of falsifying by digitizing records for a particular purpose is a problem for archivists in authenticating digital records. The purpose of this study is to identify digital sources, especially cameras as one of the tools applied in the archive digitization process. The research methodology combines clustering and classification in machine learning to determine 6 brands of cellphone cameras. The total data used in this experiment is 2400 archived digital images. The experimental results show that the identification rate of classification accuracy is 99%. This shows that this study is very effective in determining the authentication of digital archives, especially determining the source of the camera.https://jurnal.ugm.ac.id/khazanah/article/view/75359digital archive, archive authentication, logistic regression, machine learning |
| spellingShingle | Danish Faiq Ibad Yuadi Identifikasi Arsip Digital dengan Pendekatan Machine Learning Khazanah: Jurnal Pengembangan Kearsipan digital archive, archive authentication, logistic regression, machine learning |
| title | Identifikasi Arsip Digital dengan Pendekatan Machine Learning |
| title_full | Identifikasi Arsip Digital dengan Pendekatan Machine Learning |
| title_fullStr | Identifikasi Arsip Digital dengan Pendekatan Machine Learning |
| title_full_unstemmed | Identifikasi Arsip Digital dengan Pendekatan Machine Learning |
| title_short | Identifikasi Arsip Digital dengan Pendekatan Machine Learning |
| title_sort | identifikasi arsip digital dengan pendekatan machine learning |
| topic | digital archive, archive authentication, logistic regression, machine learning |
| url | https://jurnal.ugm.ac.id/khazanah/article/view/75359 |
| work_keys_str_mv | AT danishfaiqibadyuadi identifikasiarsipdigitaldenganpendekatanmachinelearning |