Motivasi Petani Terhadap Peremajaan Tanaman Kelapa Sawit di Kecamatan Sungai Bahar Kabupaten Muaro Jambi
Bibliographic record
Abstract
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%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".