ENKRIPSI PESAN TEKS DENGAN ALGORITMA ONE TIME PAD XOR DAN STEGANOGRAFI PADA CITRA GAMBAR DENGAN LEAST SIGNIFICANT BIT
Bibliographic record
Abstract
Kriptografi merupakan ilmu dan seni untuk menjaga keamanan pesan ketika pesan dikirim dari suatu tempat ke tempat lain. Kriptografi digunakan agar kerahasiaan pesan tersebut dapat terjaga, sehingga tidak diketahui oleh orang lain. Kriptografi ini muncul atas dasar keamanan dari suatu bentuk informasi-informasi penting yang bersifat rahasia. Steganografi merupakan cara menyisipkan pesan ke dalam media tertentu misalnya gambar, audio, video, dan lainnya. Cara ini terbukti efektif untuk mengamankan pesan teks dengan cara disisipkan pada file gambar, dan pesan tersebut tidak akan diketahui oleh pengguna lain jika didalam gambar yang sudah disisipkan pesan terdapat suatu pesan rahasia. Dan dalam penelitian ini dilakukan proses enkripsi dengan algoritma One Time Pad (OTP) XOR untuk mengubah pesan teks menjadi chiper atau pesan acak dalam bentuk bilangan biner. Kemudian chiper tersebut disisipkan ke dalam file gambar melalui bit-bit paling tidak berarti dengan metode Least Significant Bit (LSB). Kata Kunci : Kriptograf, Steganografi, One Time Pad (OTP), XOR, Least Significant Bit (LSB).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".