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Record W2761391378 · doi:10.25077/js.7.2.67-79.2010

TINJAUAN KUALITAS PUPUK ORGANIK DAN PENGAWASANNYA BAGI KEAMANAN DAN KETAHANAN PANGAN DI INDONESIA

2010· article· en· W2761391378 on OpenAlexaboutno aff
Agustian Agustian

Bibliographic record

VenueJurnal Solum · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsOrganic fertilizerCompostFertilizerOrganic productOrganic farmingAgricultureProduct (mathematics)HarmEnvironmental scienceSoil qualitySoil fertilityMaturity (psychological)BusinessQuality (philosophy)Agricultural scienceAgricultural engineeringMathematicsWaste managementEngineeringAgronomyGeographySoil waterPolitical sciencePhysics

Abstract

fetched live from OpenAlex

The use of organic fertilizers in agricultural production can not only increase soil fertility but also at the same time improve soil quality. Organic fertilizer is a unique product because it can improve physical properties, chemical, and biological soil as plant growth media. These characteristics bring the organic fertilizers into a valuable product that can be used in a variety of use. Today in Indonesia, there are so many outstanding varieties of organic fertilizer products either refined or imported products. Monitoring of the quality and feasibility of organic fertilizer materials is needed, so they will not harm the farmers as consumers. Each country develops criteria standard of organic fertilizer valuing each country's interest. United States, Canada, Australia and Europe use different compost quality criteria tailored to the needs and environmental rules that apply. So far in Indonesia rules used in determining quality is Permentan No. 02/Pert/HK.060/2/2006 which was then updated with Permentan No.28/PERMENTAN/OT.140/2/2009 on Organic Fertilizers and Soil Ameliorant. Basically, the appraisal made on the maturity and quality of organic fertilizers is based on observation of physical, chemical, and biological parameters. Review of the criteria used in the Regulation of the Minister of Agriculture was necessary in considering the criteria used which are very harmful to consumers, such as if it is satated that C-organic content is approximately 12%, which is low, it means that there might exist some follow-up materials such as glass, plastic in the fertilizer about 2%. If the rules are maintained, it will be very detrimental to Indonesia because of invasion from over seas. Import organic fertilizers would be siege to Indonesian farmers. Permentan No.28/PERMENTAN/SR.130/5/2009 has also set up institutions in charge of monitoring the quality of organic fertilizers. However, the quality control must be carried out. It is not only at the level of the end product, but it must also begin from the moment of the production process by establishing a supervisory agency competent. Since organic fertilizers can be produced by large industries, small and medium-scale farmers, the level of supervision is needed with different approaches. Keywords: organic fertilizer, quality, processes and controls

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 categoriesnone
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 score0.864
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.209
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2010
Admission routes1
Has abstractyes

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