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Record W4401233419 · doi:10.55043/agroteknika.v7i2.251

Dampak Pencahayaan Sinar Lampu LED dan Bahan Organik pada Pertumbuhan dan Produktivitas Kedelai (Glycine Max (L.)

2024· article· id· W4401233419 on OpenAlexaff
Suharno Suharno, Arni Setyo Priambodo, Christina Yulaika, Bestari Sekar Kinasih, Ulya Nailus Sa’adah, Isna Tustiyani

Bibliographic record

VenueAgroteknika · 2024
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMathematicsHorticultureChemistryBiology

Abstract

fetched live from OpenAlex

Kedelai adalah tumbuhan hari pendek yang butuh pencahayaan 14-16 jam padahal negara Indonesia hanya memiliki pencahayaan 12 jam setiap hari. Penambahan penyinaran lampu LED diduga akan meningkatkan produktivitas kedelai namun akan menunda pembungaan dan jika ditambah pupuk organik tidak akan terjadi penundaan berbunga. Tuuan penelitian ini adalah untuk mempelajari interaksi kombinasi perlakuan penyinaran lampu LED dan bahan organik pada pertumbuhan dan produktivitas kedelai. Penelitian dilakukan pada bulan Juni – Desember 2023, di wilayah kerja BP4-VIII Prambanan, pada kelompok tani Ngudi Mulyo, Desa Sumberharjo, Kecamatan Prambanan, Kabupaten Sleman, DIY. Metode penelitian menggunakan RKLT Faktorial. Faktor pertama terdiri dari 3 taraf penyinaran (Tanpa penyinaran, Penyinaran sampai fase berbunga, Penyinaran sampai fase pengisian polong penuh). Faktor kedua 3 jenis bahan organik (Vermikompos; Biosaka; Pupuk Kandang Domba) yang diulang tiga kali. Hasil percobaan menunjukkan bahwa tidak ada interaksi antara penyinaran lampu LED dan bahan organik pada seluruh parameter pengamatan. Penyinaran berbeda sangat nyata terhadap pertumbuhan tanaman kedelai (tinggi, berat basah, jumlah cabang, jumlah ruas, berat kering), dan peubah produksi kedelai (jumlah polong hampa, jumlah polong isi, bobot biji, bobot 100 butir, dan produktivitas). Produktivitas bjii terbaik terjadi pada tanaman yang tidak diberi penyinaran.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.011
GPT teacher head0.214
Teacher spread0.202 · 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 designBench or experimental
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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