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Record W4409599001 · doi:10.57094/haga.v1i1.495

PENGUNAAN PUPUK KANDANG TERHADAP PERTUMBUHAN TANAMAN BAYAM

2022· article· id· W4409599001 on OpenAlexaff
Anita Zagoto

Bibliographic record

VenueHaga Jurnal Pengabdian Kepada Masyarakat · 2022
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHorticultureBiology

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui Pengaruh Penggunaan Pupuk Kandang Terhadap Pertumbuhan Tanaman Bayam (Amaranthus tricolor L) di Desa Hilisondrekha Kecamatan Telukdalam Kabupaten Nias Selatan”. Jenis pengabdian ini adalah menggunakan penelitian kuantitatif dengan metode eksperimen murni (true eksperimen). yang menjadi populasi dalam pengabdian ini adalah tanaman bayam yang terdiri 60 polibag, sedangkan yang menjadi sampelnya adalah tanaman bayam itu sendiri yang terdiri dari 30 polibag. Hasil pengabdian menunjukkan bahwa tinggi batang tanaman bayam diperoleh nilai Fhitung = 43.399 > Ftabel = 2.98, dan signifikan 0,21>0,05; jumlah helaian daun tanaman bayam diperoleh nilai Fhitung = 83.203 > Ftabel = 2.98 dan signifikan 0,390 > 0,05; dan diameter batang tanaman bayam diperoleh nilai Fhitung = 18.592 > Ftabel = 2.98 dan signifikan 0,261 > 0,05. Maka dapat disimpulkan bahwa ada pengaruh penggunaan pupuk kandang terhadap pertumbuhan tinggi, diameter dan jumlah daun tanaman bayam.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
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 studies0.0040.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.013
GPT teacher head0.197
Teacher spread0.183 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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