Sistem Informasi Manajemen Surat Menggunakan Qr-Code Di Lingkungan Staff Personel Kodam V/Brawijaya
Bibliographic record
Abstract
Kodam adalah kepanjangan dari Komando Daerah Militer. yang memiliki tatanan posisi di bawah Mabesad (Markas Besar Angkatan Darat). Kodam V /Brawijaya termasuk kodam yang berada di wilayah Jawa timur dan memiliki struktur organisasi mulai dari level kepala hingga level staff, salah satunya adalah Staff Personalia. Saat ini sistem surat menyurat yang berjalan di Staff Personalia masih menggunakan sistem surat menyurat secara manual. Pengarsipan surat masuk dan surat keluar masih pakai metode hardcopy yang dibuat oleh pihak petugas sangat sulit, Atas dasar tersebut maka dalam penelitian perlu di buat sebuah sistem informasi tentang surat menyurat dibagian staff Personalia kodam V/ Brawijaya. Dengan menggunakan sistem informasi Manajemen surat berbasis web akan mempermudah proses pencarian arsip surat masuk dan surat keluar dengan akurat, cepat dan efesien. Sistem yang dihasilkan dapat mendokumentasikan surat masuk dan surat keluar hingga memudahkan pengaksesannya pada saat diperlukan.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.131 | 0.139 |
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".