IMPLEMENTASI ALGORITMA KRIPTOGRAFI MODULAR MULTIPLICATION – BASED BLOCK CIPHER (MMB) PADA KEAMANAN DATA
Bibliographic record
Abstract
Dalam kehidupan sehari – hari manusia banyak bergantung pada teknologi informasi. Maka mulai bermunculan berbagai media untuk mengakses informasi dan mengelola informasi sehingga banyak kemudahan-kemudahan yang kemudian didapat untuk mengakses suatu informasi. masalah keamanan informasi menjadi hal yang sangat penting dalam suatu sistem informasi untuk keamanan bersama maupun keamanan pribadi. Untuk itu diperlukan suatu sistem keamanan yang dapat melindungi suatu informasi untuk pengamanan data untuk mengantisipasi ancaman tersebut seperti teknik kriptografi. Kriptografi metode Modular Multiplication Based Block Cipher (MMB) dapat digunakan untuk menjaga keamanan pesan saat pesan dikirim dari suatu tempat ke tempat yang lain. Program aplikasi yang telah dibangun hanya mengenkripsi plaintext dengan format doc, txt, xls, ppt. Penelitian ini menghasilkan suatu program untuk mengamankan pesan rahasia berbentuk file. File yang dienkrip dapat diungkapkan kembali sama persis dengan file aslinya dan tidak mengalami perubahan isi file sedikit pun.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".