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Record W4310536106 · doi:10.33087/mea.v7i2.139

Motivasi Petani Terhadap Peremajaan Tanaman Kelapa Sawit di Kecamatan Sungai Bahar Kabupaten Muaro Jambi

2022· article· en· W4310536106 on OpenAlexaff
Siti Kurniasih, Fidi Kaseta Pratama, Arsyad Lubis, Endy Effran

Bibliographic record

VenueJurnal MeA (Media Agribisnis) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPalm oilRejuvenationAgricultural scienceResearch methodGeographyBiologyBusiness

Abstract

fetched live from OpenAlex

Motivation as a form of encouragement that arises from farmers both from outside and inside towards oil palm rejuvenation which encourages farmers to do rejuvenation and those who have not done rejuvenation in order to improve agricultural development through increasing the productivity of oil palm plants. This study aimed to: 1) To describe the condition of oil palm rejuvenation in Sungai Bahar Sub-district, Muaro Jambi Regency, 2) To find out the difference in motivation between farmers who had done rejuvenation and farmers who had not yet done oil palm rejuvenation in Sungai Bahar District, Muaro Jambi Regency. This research was carried out from July to August 2021 in Sungai Bahar District, Muaro Jambi Regency intentionally (purposively). The data used were primary data and secondary data. The population in this study were oil palm farmers in Sungai Bahar District. The sampling technique in this study used double sampling, namely random sampling and quota sampling. The number of sample farmers were 60 farmers with the distribution of 30 farmers who had not yet done oil palm rejuvenation in Suka Makmur and Marga Mulya villages and 30 farmers who had done oil palm rejuvenation in Suka Makmur and Marga Mulya villages. While the data analysis used was descriptive analysis and quantitative analysis using the Mann Withney test. The results showed that: 1) Rejuvenation of conventional techniques in Sungai Bahar District using BPDPKS funding sources began in 2018. There were two farmer groups that received rejuvenation funding from BPDPKS in Sungai Bahar District, namely KUD Sari Makmur which was established in 2012 and Gapoktan Rambutan which was established in 2017. 2) The intrinsic motivation of farmers who had not yet replanted was in the low category, i.e 39%, where debt wdas an obstacle to replanting oil palm plantations, on the external side, farmers who had replanted were in the high category 63.4 %, as well as those who had not yet done rejuvenation classified in the high category, i.e. 62.6%.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.000

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 head0.202
Teacher spread0.192 · 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 designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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