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Record W4388200503 · doi:10.29244/jppt.v7i1.43827

Nilai ketersediaan jasa ekosistem mangrove di Wilayah Pesisir Kota Dumai

2023· article· id· W4388200503 on OpenAlexaff
Muhammad Nur Arkham, Tyas Dita Pramesthy, Rangga Bayu Kusuma Haris, Perdana Putra Kelana, Djunaidi Djunaidi

Bibliographic record

VenueTropical Fisheries Management Journal · 2023
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsMangroveForestryGeographyBiologyEcology

Abstract

fetched live from OpenAlex

Jasa ekosistem mangrove di Wilayah Pesisir Kota Dumai mempunyai nilai ketersediaan terhadap barang dan jasa yang dimanfaatkan oleh masyarakat disektar. Tujuan dari penelitian adalah untuk menilai keseimbangan jasa ekosistem mangrove di Wilayah Pesisir Kota Dumai. Metode pengambilan data dalam penelitian yaitu metode survey dan wawancara dengan bantuan kuesioner, selain itu juga dilakukan kajian literatur dan diskusi dengan para pakar ekosistem mangrove. Analisis data menggunakan identifikasi jasa ekosistem mangrove dengan pendekatan diagram tulang ikan dan penilaian matriks ketersediaan jasa ekosistem menggunakan model bukhard. Hasil penelitian menyebutkan bahwa sebagian besar masyarakat pesisir Kota Dumai mendapatkan manfaat dari keberadaan ekosistem mangrove terhadap jasa penyedia dan jasa pengaturan. Jasa penyedia yang paling besar diberikan oleh ekosistem mangrove adalah menyediakan sumberdaya ikan dan crustasea seperti udang dan kepiting, sedangkan untuk jasa pengaturan terbesar yang bermanfaat adalah sebagai penahan abrasi dan pengurangan banjir ROB. Hasil penilaian ketersediaan jasa ekosistem mangrove menunjukkan bahwa secara umumnya permintaan jasa ekosistem mangrove melebihi suplai/kapasitas jasa ekosistem mangrove (nilai negatif) terutama pemukiman, industri, resort dan hotel, dan rumah makan. Nilai tersebut menyebutkan bahwa potensi dari ekosistem mangrove telah dimanfaatkan melebihi batas, sehingga diperlukan pengelolaan secara berkelanjutan dalam pemanfaatan ekosistem mangrove.

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), Science and technology studies, 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 score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.217
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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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