Pengembangan Web E-Voting Menggunakan Secure Election Protocol
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sistem e-voting akan memberikan kemudahan kepada pemilih dan panitia pelaksana dari segi waktu maupun biaya. Sistem voting melalui internet (e-voting) akan menemui permasalahan terkait keamanan komunikasi dan data sehingga diperlukan sebuah protokol kriptografi yang disebut Secure Election Protocol. Prosedur kerja dari Secure Election Protocol dengan dua panitia sentral menggunakan CTF dan CLA menjadi panitia. Protokol ini menggunakan algoritma AES-128 untuk mengamankan data yang dikirimkan, dan algoritma RSA untuk mengamankan kunci AES-128 serta menggunakan kombinasi algoritma DSA dan SHA-1 untuk membentuk tanda tangan digital dari pesan yang dikirimkan. Perangkat lunak e-voting menggunakan Secure Election Protocol dengan dua panitia sentral ini mampu mengamankan proses pemilihan online (e-voting) untuk pemilihan Ketua BITSMIKRO dengan baik dan benar. Kebutuhan teknologi e-voting yang aman di masa mendatang akan semakin besar. Penerapan kriptografi pada penelitian ini telah membuktikan perannya dalam mengamankan pemilihan online (e-voting).
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it