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Record W4415727543 · doi:10.25181/marshela.v2i2.3690

ANALISIS FASE BULAN TERHADAP HASIL TANGKAPAN PURSE SEINE DI PERAIRAN AMAHAI, PULAU SERAM

2024· article· W4415727543 on OpenAlexaboutno aff
Kedswin Hehanussa

Bibliographic record

VenueJurnal Marshela (Marine and Fisheries Tropical Applied Journal) · 2024
Typearticle
Language
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Nasal dischargeCoelenterata

Abstract

fetched live from OpenAlex

Intensitas cahaya yang diterima perairan berubah sesuai dengan fase bulan, yang berdampak pada perilaku ikan yang memiliki sifat fototaksis positif atau negatif terhadap cahaya. Hal ini secara langsung mempengaruhi volume hasil tangkapan nelayan. Pemahaman yang kurang mendalam mengenai pengaruh fase bulan ini membuat nelayan seringkali tidak dapat memaksimalkan hasil tangkapan mereka. Tujuan penelitian ini adalah menganalisis pengaruh fase bulan terhadap hasil tangkapan purse seine dan komposisi hasil tangkapan purse seine berdasarkan fase bulan di Perairan Amahai. Penelitian ini dilakukan pada bulan Februari-Maret 2024 yang bertempat di Perairan Amahai, Pulau Seram. Metode yang digunakan dalam penelitian ini yaitu metode survei dengan melakukan observasi secara langsung di lapangan. Hasil analisis menunjukan Fase bulan tidak berpengaruh signifikan terhadap hasil tangkapan purse seine dimana nilai Signifikasi sebesar 0.529 > 0,05. Hasil tangkapan purse seine sebanyak 25.570 Kg dengan komposisi hasil tangkapan pada fase bulan New Moon yakni ikan momar (Decapterus sp) 62 %, ikan selar (Selar sp) 38%. Komposisi hasil tangkapan pada fase bulan First Quarter yakni ikan layang (Decapterus sp) 63 %, ikan selar (Selar sp) 37%. Komposisi hasil tangkapan pada fase bulan Full Moon yakni ikan layang (Decapterus sp) 57%, ikan selar (Selar sp) 30 %, ikan cakalang (Katsuwonus pelamis) 13%. Sedangkan pada fase bulan Last Quarter komposisi hasil tangkapan yakni ikan layang (Decapterus sp) 66%, ikan selar (Selar sp) 33%, dan ikan cakalang (Katsuwonus pelamins) 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.000

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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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