Perancangan dan Simulasi Penerapan Virtual Private Network Menggunakan Metode PPTP (Studi Kasus Pada PT Pelindo IV Makassar)
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
Penggunaan Virtual Private Networksebagai salah satu solusi untuk membangun jalur jaringan komunikasi yang aman client dan remote server melalui jaringan public.Penelitian ini bertujuan untuk meracang dan mengimplementasikan Virtual Private Network dengan menggunakan Metode Point to Point Tunneling Protocol (PPTP) pada PT Pelindo IV Makassar.Data ini diperoleh melalui (1) Penelitian Lapangan (2) Penelitian Pustaka (3) wawancara. Data dianalisis dengan menggunakan meotde PIECES (Performance, Information, Economic, Control, Efficiency dan Service). Hasil penelitian ini menunjukkan bahwa virtual private network menggunakan metode PPTP ini dapat diterapkan dengan baik.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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