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Record W6995683868

PERENCANAAN CLEANROOM SYSTEM UNTUK MEMENUHI STANDAR CARA PEMBUATAN TUTUP BOTOL INFUS DI PT ABC

2018· dissertation· id· W6995683868 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

VenueUAJY Repository (University of Southampton) · 2018
Typedissertation
Languageid
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsNet meteringMarketing communicationCleanroom
DOInot available

Abstract

fetched live from OpenAlex

Pada era ini standarisasi perusahaan merupakan hal yang perlu diperhatikan.
\n
\nTerdapat berbagai macam ukuran standarisasi suatu perusahaan. Salah satunya
\n
\nadalah standarisasi produksi. Produksi banyak mendapat perhatian baik dari industri
\n
\nmanufaktur maupun industri jasa. Penelitian mengenai standarisasi produksi akan
\n
\ndilakukan di PT. ABC. Produksi di PT. ABC memiliki berbagai macam produk yang
\n
\nsalah satunya adalah tutup botol infus. Selama ini produksi,perusahaan mengalami
\n
\nmasalah dimana standar ruang produksi belum sesuai dengan CPOB(Cara
\n
\nPembuatan Obat yang Baik) dan kualitas produk tutup botol infus belum steril. Hal ini
\n
\nakan berdampak pada perusahaan yang akan mendapat sanksi dari BPOMRI. Oleh
\n
\nsebab itu perusahaan akan merencanakan investasi Cleanroom System. Cleanroom
\n
\nsystem merupakan system untuk mendukung tingkat sterilisasi ruangan dan menjaga
\n
\nkualitas produk tetap terjaga dari bakteri. Untuk menginvestasikan Cleanroom System
\n
\nini dibutuhkan data lapangan yang berkaitan dengan lingkungan. Tujuan adanya ini
\n
\nuntuk melihat apakah perusahaan sanggup untuk menginvestasikan Cleanroom
\n
\nSystem atau tidak. Dengan menggunakan metode membandingkan standar ruangan
\n
\nsaat ini dengan CPOB. maka perusahaan dapat menentukan investasi Cleanroom
\n
\nSystem. Dari hasil yang telah direncanakan perusahaan dapat menginvestasikan
\n
\nCleanroom System. Serta investasi sudah sesuai dengan standar ruang produksi
\n
\npada pembuatan infus.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0060.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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