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Record W4392731136 · doi:10.31943/gw.v14i1.280

Aplikasi bio P60 dan bio T10 serta macam media tumbuh terhadap pertumbuhan tanaman melon

2023· article· id· W4392731136 on OpenAlexaff
Didi Carsidi, Faisal Al Asad, Catur Raharjo Febrayanto, Taufik Hidayah

Bibliographic record

VenueGema Wiralodra · 2023
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMelonBiologyHorticultureBotany

Abstract

fetched live from OpenAlex

Penggunaan media tumbuh dan hormon pertumbuhan tepat menentukan pertumbuhan tanaman melon. Penelitian bertujuan untuk mengetahui pengaruh kombinasi larutan Bio P60 + Bio T10 pada media tumbuh tertentu yang dapat mencapai pertumbuhan optimal. Penelitian dilaksanakan menggunakan rancangan Split Plot 3 x 3 diulang sebanyak 4 kali. Petak utama yaitu media tumbuh dengan 3 taraf: tanah + Sekam bakar, tanah + Cocopeat dan tanah + Bokhasi sedangkan anak petak yaitu kombinasi Bio P60 + Bio T10 dengan 3 taraf: tanpa larutan Bio P60 + Bio T10, larutan Bio P60 + Bio T10 200 ml.tanaman-1 .2 minggu-1 serta larutan Bio P60 + Bio T10 300 ml.tanaman-1 .2 minggu-1. Parameter diamati yaitu tinggi tanaman, jumlah daun, luas daun, diameter batang, umur berbunga dan kadar klorofil. Hasil penelitian menunjukkan media tumbuh kombinasi tanah dan bokhasi mampu meningkatkan pertumbuhan; tinggi tanaman (197,19 cm) dengan laju pertumbuhan 6,28 cm, jumlah daun (27,97 helai) dengan laju pertumbuhan 0,84 helai, umur berbunga (23,67 hari), klorofil a (0,81 mg.g-1), klorofil b (0,86 mg.g-1) dan klorofil total (1,67 mg.g-1). Volume dosis kombinasi Bio P60 + Bio T10 dengan tanpa larutan Bio P60 + Bio T10, larutan Bio P60 + Bio T10 200 ml.tanaman-1 .2 minggu-1 serta larutan Bio P60 + Bio T10 300 ml.tanaman-1 .2 minggu-1 pada semua media memiliki pengaruh yang sama.
 

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 score0.594
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 science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.019
GPT teacher head0.215
Teacher spread0.196 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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