PKM PENINGKATAN NILAI TAMBAH LIMBAH KULIT KOPI PADA KELOMPOK WANITA TANI DI KAWASAN WISATA KINTAMANI, BANGLI-BALI
Bibliographic record
Abstract
Belantih Village, which is located in the western part of the Kintamani tourist area with beautiful scenery and landscapes and fertile soil, is a dominant center for producing horticultural products, coffee and citrus plantations. Most of the people of Belantih Village still rely on working in the agricultural sector as their main source of income. Taking advantage of the development of tourism, farmers can fill tourism needs by cultivating plants properly. Until now, in Belantih Village, the most developed plants are beans, tomatoes, cabbage, eggplant, chilies covering 11.13 ha, while for citrus fruits it is 175 ha and coffee plants are 282 ha. To support the growth and development of plants in addition to using inorganic fertilizers, most farmers still use organic fertilizers derived from cow and chicken manure which are easily available in large quantities and can meet the needs of a fairly large planting area from outside the Belantih Village area. Until now, the source of organic fertilizer that can actually be utilized from coffee rind waste from the rest of the wet processing or other processing from factories around Belantih Village is still not processed further in order to improve the quality of the waste as a source of fertilizer. This opportunity can actually be used by women farmer groups as an opportunity to supply organic fertilizer from solid coffee husk waste. The nutrient content contained in coffee husk waste when given a touch of technology will be a source of nutrients for plants. The purpose of this PKM activity is to increase the knowledge and skills of partners in coffee cultivation and after post-harvest the use of coffee husk waste as organic fertilizer in substituting the use of inorganic fertilizers in partner areas. In addition, it can be an alternative that solid coffee husk waste for communities around partners can be used as organic fertilizer in fertilizing cultivated plants in addition to organic fertilizers from cows and chickens that have been used today. The touch of technology in the processing of coffee skin waste is expected to add value to the fertilizer produced. Activities are carried out with counseling, discussions, direct practice in the field. This PKM program was carried out in a women's farmer group "Merta Sari Sabang" in Belantih Village, Kintamani District - Bangli Regency, Bali Province. From this activity, the output target to be achieved is that partner groups are independently able to utilize solid waste properly into "solid organic fertilizer" (POP) so as to increase the income of partner groups.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".