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Pengaruh Pemberian Ekstrak Daun Mangrove Rizhophora Apiculata terhadap Performa Pertumbuhan Udang Vaname

2020· article· id· W3119384795 on OpenAlexaff
Muhammad Junaidi, Fariq Azhar, Bagus Dwi Hari Setyono, Saptono Waspodo

Bibliographic record

VenueBuletin Veteriner Udayana · 2020
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAquatic life and conservation
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsTraditional medicineBiologyMangroveAnimal scienceMedicineEcology

Abstract

fetched live from OpenAlex

Kendala yang sering dihadapi oleh para pembudidaya adalah masalah hama dan penyakit yang dapat menurunkan kualitas udang dan kegagalan produksi. Penyakit yang sering menyerang udang adalah penyakit bakterial seperti vibriosis. Penyakit bakterial biasanya ditangani menggunkan antibiotik. Pada penelitian ini antibiotik yang digunakan berasal dari ekstrak daun mangrove Rhizophora apiculata yang memiliki kandungan senyawa aktif sebagai antibakteri. Penggunaan ekstrak daun mangrove R. apiculata diharapkan mampu meningkatkan performa pertumbuhan udang vaname melalui peningkatan sistem imun. Penelitian ini bertujuan untuk mengetahui pengaruh ekstrak daun mangrove R. apiculata terhadap performa pertumbuhan udang vaname (Litopenaeus vannamei). Penelitian ini dilakukan selama 40 hari. Perlakuan yang diberikan yaitu penambahan ekstrak daun mangrove R. apiculata ke dalam pakan udang yaitu P1 kontrol tanpa penambahan ekstrak, P2 diberikan ekstrak mangrove 0,5%, P3 diberikan ekstrak mangrove 1% dan P4 diberikan ekstrak mangrove 2%. Hasil yang diperoleh untuk performa pertumbuhan udang vaname perlakuan terbaik pada P4 (pakan + ekstrak mangrove 2%) dengan hasil pertumbuhan bobot mutlak sebesar 17,41 g, pertumbuhan spesifik sebesar 21,37%, kelangsungan hidup sebesar 93% dan konversi pakan sebesar 1,1. Daun mangrove R. apiculata dapat meningkatkan performa pertumbuhan udang vaname melalui pertumbuhan bobot mutlak, laju pertumbuhan spesifik, kelangsungan hidup dan nilai rasio konversi pakan, nilai terbaik diperoleh pada dosis ekstrak 2% dengan masing-masing nilai 17,31 g, 21,37%, 93% dan 1,1%.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.047
GPT teacher head0.221
Teacher spread0.174 · 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

Citations13
Published2020
Admission routes1
Has abstractyes

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