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Record W4410926545 · doi:10.63824/jptsp.v12i1.261

KOMPARASI FUNGSI DEKONTAMINASI PERSONEL PELETON NUBIKA INDONESIA DAN AMERIKA

2025· article· id· W4410926545 on OpenAlexaff
Luluk Kristanto, Irawan Agung Wibowo, Muhammad Fadlika Suwanto

Bibliographic record

VenueJURNAL TEKNIK SIPIL PERTAHANAN · 2025
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

Era perang modern akhir-akhir ini dengan perkembangan Iptek dibidang kimia, biologi, radiologi, nuklir, dan bahan peledak, berimplikasi terhadap meningkatnya ancaman senjata CBRNE. Peleton Nubika sebagai ujung tombak di lapangan memegang peranan penting dalam menentukan keberhasilan tugas. Penelitian kualitatif menggunakan teknik studi literatur dan teknik komparatif untuk mendeskripsikan perbandingan dari Peleton Nubika Denzi Nubika Pusziad dengan Decon PLT (Heavy) 20th CBRNE Command. Peleton Nubika dibawah Komando Denzi Nubika dengan satuan pusat nubika Pusziad disiapkan untuk OMP dan OMSP serta bekerjasama dengan instansi nubika terkait. Decon PLT (Heavy) dibawah Komando Area Suport Company dengan satuan pusat Nubika-Jihandak 20th CBRNE Command disiapkan untuk OMP, OMSP dan perbantuan sipil serta memiliki satuan HQ dibidang nubika. Kapabilitas Peleton Nubika lebih bersifat umum dengan salah satu fungsi dekontaminasi didalamnya, dibandingkan Decon PLT (Heavy) dengan tugas khusus dekontaminasi. Operasional Dekontaminasi Personel Peleton Nubika sebanyak 11 stasiun, sedangkan Decon PLT (Heavy) sebanyak 8 stasiun. Optimisme Pemerintah terhadap ancaman senjata nubika berupa peningkatan satus satuan nubika, strategi kekuatan dan kemampuan pertahanan militer dan nirmiliter, serta konsep pembentukan satuan pelaksana nubika tiap Kodam hingga pusat logistik nubika.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.244
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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