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Record W3004030138 · doi:10.35799/jmuo.8.3.2019.25966

Jumlah Konsumsi Pakan, Efisiensi dan Laju Pertumbuhan Relatif Ikan Bawal (Colossoma macropomum) yang Diberi Pakan Buatan Berbahan Tepung Lemna minor Fermentasi

2019· article· id· W3004030138 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

VenueJurnal MIPA · 2019
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAquatic life and conservation
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsLemna minorLemnaBiologyFood scienceAnimal scienceFermentationBotanyAquatic plantEcology

Abstract

fetched live from OpenAlex

Pakan merupakan faktor penting dalam kegiatan budidaya ikan secara intensif. Penggunaan Lemna minor sebagai bahan baku pakan karena mudah didapat dan mengandung nutrisi yang baik. Adanya kandungan serat yang tinggi pada Lemna minor sehingga sulit untuk dicerna dan memerlukan proses fermentasi. Penelitian ini bertujuan untuk mengetahui pemanfaatan pakan tepung Lemna minor fermentasi terhadap pertumbuhan ikan bawal. Metode Rancangan Acak Lengkap (RAL) dengan 4 perlakuan dan 3 ulangan, terdiri dari A tanpa tepung Lemna minor fermentasi, B tepung Lemna minor fermentasi 10%, C tepung Lemna minor fermentasi 20% dan D tepung Lemna minor fermentasi 30%. Data yang diamati yaitu jumlah konsumsi pakan (JKP), efisiensi pemanfaatan pakan (EPP), Laju pertumbuhan relatif (RGR) dan sintasan. Hasil menunjukkan bahwa perlakuan C (tepung Lemna minor fermentasi 20%) mampu menghasilkan rata-rata JKP sebesar 287,33 g, EPP sebesar 0,052%, RGR sebesar 0,090%/hari dan SR sebesar 100%Feed is an important factor in intensive fish aquaculture activities. Use Lemna minor as a feed raw material because it is easily available and contains good nutrition. The composition of high fiber in Lemna makes it difficult to digest and requires a fermentation process. This study aims to learn how to use Lemna fermentation flour on the growth of pomfret. Method used was completely randomiza design with 4 treatments and 3 replications, consisting of A without Lemna flour fermented, B Lemna flour fermented 10%, C Lemna flour 20% fermentation and D Lemna flour 30% fermentation. Interesting data are the amount of feed consumption, increased feed efficiency (EPP), relative growth rate (RGR) and survival rate. The results showed that the treatment of C (Lemna minor flour fermentation of 20%) was able to produce an average JKP of 287.33 g, EPP of 0.052%, RGR of 0.090%/day and SR of 100%

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.016
GPT teacher head0.222
Teacher spread0.206 · 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