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Record W4393003669 · doi:10.35508/aquatik.v6i1.9876

Pengaruh Kombinasi Air Kelapa Muda Dan Gliserol pada Presevasi Sperma Ikan Mas (Cyprinus carpio)

2023· article· id· W4393003669 on OpenAlexaff
Sisca Melantri Lodo, Agnette Tjendanawangi, Yulianus Linggi

Bibliographic record

VenueJurnal Aquatik · 2023
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAquatic life and conservation
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAnimal scienceBiology

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui pengaruh dari penambahan pengencer air kelapa muda dan gliserol terhadap viabilitas sperma ikan mas (Cyprinus carpio) dan perlakuan yang terbaik pada penyimpanan sperma ikan mas. Penelitian ini dilaksanakan di Laboratorium Fakultas Kelautan dan Perikanan Universitas Nusa Cendana, selama kurang lebih 1 bulan (Oktober) 2021. Metode penelitian disusun dalam rancangan acak lengkap (RAL) dengan 5 perlakuan yaitu perlakuan 1: 0,25 ml sperma + 100% air kelapa muda, perlakuan 2 : 0,25 ml sperma + 75% air kelapa muda + 25% gliserol, perlakuan 3: 0,25 ml sperma + 50% air kelapa muda + 50% gliserol. perlakuan 4: 0,25 ml sperma + 25% air kelapa muda + 75% gliserol dan perlakuan 5 : 0,25 ml sperma + 100% gliserol. Hasil penelitian menunjukkan penambahan air kelapa muda dan gliserol berpengaruh terhadap motilitas spermatozoa ikan mas (Cyprinus carpio) dan spermatozoa masih bertahan hidup selama 4 hari, namun semakin lama disimpan maka motilitas akan semakin menurun dan penyimpanan sperma dengan perbandingan dosis 75% air kelapa muda + 25% gliserol (perlakuan B) memberikan hasil terbaik.
 
 Kata Kunci: Air Kelapa Muda, Gliserol, Motilitas, Viabilitas, Sperma Ikan Mas

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), 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 score0.369
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.036
GPT teacher head0.244
Teacher spread0.208 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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