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Record W4367395806 · doi:10.35726/jvip.v3i2.1498

Kinerja Pertumbuhan Ikan Lele Yang Dipelihara Dalam Sistem Budikdamber

2023· article· id· W4367395806 on OpenAlexaff
Alexander Simon Tanody, Wahyuni Fanggi Tasik

Bibliographic record

VenueJURNAL VOKASI ILMU-ILMU PERIKANAN (JVIP) · 2023
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAquatic life and conservation
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematicsBiology

Abstract

fetched live from OpenAlex

Tujuan dari penelitian ini adalah untuk mengevaluasi kinerja pertumbuhan ikan lele yang dipelihara dalam sistem budikdamber sebagai rekomendasi sistem budidaya ikan dalam wadah kecil, tidak membutuhkan lahan yang luas, mudah didapatkan dan teknologinya dapat diterapkan oleh berbagai kalangan. Tahapan penelitian terdiri atas: a) Merancang sistem budidaya ikan, b) pemeliharaan ikan, c) analisa kinerja pertumbuhan ikan. Hasil penelitian menunjukkan bahwa ikan yang dipeliharan dalam sistem budikdamber dengan menggunakan tanaman kangkung memiliki panjang dan bobot yang lebih baik yaitu panjang sebesar 20,79±3,49 cm dan bobot sebesar 63,58±29,29 g dibandingkan dengan sistem konvensional yaitu panjang 18,32±2,85 cm dan bobot 40,26±19,32 g. Sehingga disimpulkan bahwa pemeliharaan ikan dalam ember (budikdamber) dapat menjadi metode alternatif untuk diterapkan oleh masyarakat perkotaan yang memiliki keterbatasan lahan dalam memelihara ikan lele. Kata kunci : budidaya lele, budikdamber, lahan terbatas

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.070

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 studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.005

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 head0.037
GPT teacher head0.246
Teacher spread0.209 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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