MétaCan
Menu
Back to cohort
Record W7026770149

Analisis Kandungan Total Coliform Pada Minuman Susu Kedelai dan Higiene Sanitasi Usaha Kecil Menengah Susu Kedelai di Kota Padang

2020· dissertation· id· W7026770149 on OpenAlexaff

Bibliographic record

VenueAndalas University eThesis (Andalas University) · 2020
Typedissertation
Languageid
FieldAgricultural and Biological Sciences
TopicAgricultural and Biological Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsNucleofectionGestational periodTSG101LiquationDiafiltrationArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

Pengolahan susu kedelai yang tidak dilakukan secara higiene dapat meningkatkan \nkontaminasi produk susu kedelai oleh bakteri patogen. Penelitian ini bertujuan untuk \nmenganalisis kandungan Total Coliform pada susu kedelai dan higiene sanitasi usaha \nkecil menengah susu kedelai di Kota Padang. Penelitian dilakukan pada lima tempat \npengolahan susu kedelai dimana dilakukan tiga frekuensi pengambilan sampel. Total \nColiform dihitung menggunakan metode Most Probable Number (MPN) dan \ndibandingkan dengan SNI 01-3830-1995 tentang syarat mutu susu kedelai. Analisis \nhigiene sanitasi usaha susu kedelai menggunakan pertanyaan yang mengacu pada \nKepmenkes nomor 942 tahun 2003, dan dilakukan wawancara dan observasi kepada \npengolah susu kedelai. Hasil penelitian didapatkan kandungan Total Coliform yaitu \n1,54 MPN/ml;3,60 MPN/ml; 2,74 MPN/ml; 41,11 MPN/ml dan 4,2 MPN/ ml. Hasil ini \nmenunjukkan empat dari lima usaha susu kedelai memenuhi syarat mutu yaitu 20 mpn/ \nml. Usaha susu kedelai yang tidak memenuhi syarat mutu masih menerapkan dua dari \nempat aspek higiene sanitasi dengan kategori 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.025
GPT teacher head0.208
Teacher spread0.183 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAndalas University eThesis (Andalas University)Same topicAgricultural and Biological ResearchFrench-language works237,207