MétaCan
Menu
Back to cohort
Record W4392077596 · doi:10.51826/piper.v19i2.920

PERANAN MIKRO ORGANISME LOKAL (MOL) TAPAI UBI DALAM MENINGKATKAN PERTUMBUHAN DAN HASIL TANAMAN MENTIMUN (Cucumis sativus L)

2023· article· id· W4392077596 on OpenAlexaff
Syarif Nizar Kartana, Marselinus Maysra, Budi Fitriani

Bibliographic record

VenuePIPER · 2023
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCucumisBiologyCucurbitaceaeHorticulture

Abstract

fetched live from OpenAlex

Mentimun termasuk salah satu sayuran buah yang memiliki banyak manfaat dalam kehidupan masyarakat sehari-hari, akan tetapi produksinya di Kabupaten Sintang masih rendah karena sebagian besar lahan untuk budidayanya adalah jenis tanah PMK yang kurang subur. Salah satu usaha yang dapat dilakukan untuk memperbaiki kesuburan tanah PMK tersebut adalah dengan pemberian MOL tapai ubi sehingga diharapkan mampu meningkatkan produksi mentimun. Penelitian ini bertujuan untuk mengetahu pengaruh dan dosis terbaik MOL tapai ubi dalam meningkatkan pertumbuhan serta hasil tanaman mentimun. Penelitian ini disusun menggunakan metode Rancangan Acak Kelompok (RAK) dengan 5 taraf perlakuan dan 5 ulangan. Taraf perlakuan dalam penelitian ini adalah : M0 : tanpa pemberian MOL tapai, M1 : pemberian 50 ml MOL tapai ubi/liter air, M2 : pemberian 100 ml MOL tapai ubi/liter air, M3 : pemberian 150 ml MOL tapai ubi/liter air, M3 : pemberian 200 ml MOL tapai ubi/liter air. Hasil penelitian menunjukkan bahwa pemberian MOL tapai ubi dapat meningkatkan pertumbuhan dan hasil tanaman mentimun dimana dosis terbaik adalah dengan pemberian MOL tapai ubi 200ml/liter air yang menghasilkan rerata berat basah berangkasan 213,33 gram, rerata jumlah buah per tanaman 0,933 buah, dan rerata berat buah per tanaman 160,00 gram. Hasil penelitian ini diharapkan dapat menjadi alternatif bagi para petani di daerah pedalaman Kabupaten Sintang dalam mengatasi kelangkaan pupuk.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.016
GPT teacher head0.216
Teacher spread0.200 · 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 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePIPERSame topicPlant Growth and Agriculture TechniquesFrench-language works237,207