STRATEGI PENGEMBANGAN BADAN USAHA MILIK DESA PONGGOK TIRTA MANDIRI DESA PONGGOK KABUPATEN KLATEN \nPROVINSI JAWA TENGAH \n
Bibliographic record
Abstract
This study aims to find out how the strategy taken by the Tirta Mandiri Village Owned Enterprises, Ponggok Village, Klaten Regency, Central Java in managing the assets of village wealth so as to make the village income source to improve the welfare of the people of Ponggok Village. BUMDes Tirta Mandiri awarded by Kemendesa PDTT as Trendy Village because it can develop potential assets of the village in accordance with the present style in the era of social media that can attract tourists. \n\tThis descriptive study was conducted at the office of BUMDES Tirta Mandiri and office Kemendesa PDTT Kalibata with purposive sampling technique with primary data in the form of interview with the specified sample and secondary data obtained from various sources. Referring to the Master Strategy by Dan Schendel and Charles Hofer Higgins (in Salusu, 2005: 101) and the flow of organizational development systems according to Karl Albrecht (1985) which is poured into the major stages of organizational development according to McGill (1982: 156-157) . \n\tThe result of this research is that there are several factors supporting the establishment of BUMDes Tirta Mandiri, among which there are 3 springs of water source that become asset of village, supporting physical infrastructure, positive support from village community, BUMDes cooperation with PT. BNI46 (Persero), tbk, well-educated and professional management. The development of BUMDes Tirta Mandiri organization is based on social, kinship, and professional that become the main key in organizational development in BUMDES Tirta Mandiri. \n
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".