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Record W4401052235 · doi:10.32767/jusikom.v9i1.2316

Sistem Informasi Manajemen Surat Menggunakan Qr-Code Di Lingkungan Staff Personel Kodam V/Brawijaya

2024· article· id· W4401052235 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJusikom Jurnal Sistem Komputer Musirawas · 2024
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicDecision Support System Applications
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsBusinessCode (set theory)DatabaseOperating systemComputer scienceProgramming language

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0110.005
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.014

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.

Opus teacher head0.026
GPT teacher head0.256
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it