Pemberdayaan Ekonomi Masyarakat Tani Lahana Kering Melalui Pengembangan Usahatani Terpadu Berbasis Ternak Sapi Bali di Desa Selengan Kecamatan Kayangan Kabupaten Lombok Utara
Bibliographic record
Abstract
In general, this community service activity aims to increase the knowledge and skills of the dry land farming community through the development of an integrated farming system based on Bali cattle in Selengan Village, Kayangan District, North Lombok District, while the specific objectives are: (1) Fostering interest and motivating the people of Selengan Village, Subdistrict Kayangan, North Lombok District for entrepreneurship in agriculture and animal husbandry, especially Bali cattle breeding; (2) Showing farmers about aspects of integrated farming technology based on Bali cattle; (3) Farmers can recognize the socio-economic aspects (sustainable increase in income) of an integrated farming system based on Bali cattle; and (4) Establishing relationships between universities, especially Mataram University with the community. Implementation is carried out using community development methods that emphasize adult learning (andragogy), involving 10 members of the target farmer group and carried out through counseling, demonstrations, and demonstration plots. The results of the implementation show that: (1) This community service activity has been able to increase the knowledge and skills of participants, especially those related to: (a) technical aspects and socio-economic aspects, especially related to improving the economy of land farming communities by developing an integrated farming system based on cattle. Bali; (b) Good, healthy, and environmentally friendly agricultural management; and (c) the ability of group management in an effort to take advantage of the existing potential; (2) The response of members of farmer groups to extension activities and economic empowerment of dry land farming communities is quite high; (3) The percentage rate of growth of fodder crops (turi and elephant grass) is quite high + 89%; (4) The average income of farmers from the development of cattle-based integrated farming is Rp. 4,270.00/person/year; and (5) This activity has also contributed to the intensification of reciprocal communication between the local government of North Lombok District universities, UNRAM and farming communities who are members of dryland farmer groups in Selengan Village, Kayangan District, North Lombok District.
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 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 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".