Pengolahan Sampah Organik dan Limbah Biomassa dengan Teknologi Olah Sampah di Sumbernya
Bibliographic record
Abstract
Solid Waste Processing Technology at the Source (TOSS) is an alternative method in processing organic and biomass waste on a communal scale. The processing of organic and biomass waste material is carried out in three stages of the process: biodrying which utilizes the aerobic activity of microorganisms; chopping which is intended to refine the material, and pelletization to compact the material into biomass pellets. The biodrying process in bamboo boxes is able to reduce the water content in organic and biomass waste within 4-5 days. Sorting of non-organic materials can be done at an early stage before or after the biodrying process. Sorting is required before chopping and pelletizing process to avoid unnecessary machine break down. The biomass pellet which is the final product has a diameter of about 10 mm with a length between 10-40 mm, a calorific value between 3000-4000 kcal/kg, and a moisture content of up to 15%. Compared to coal, biomass pellets tend to have higher volatile and ash content, while lower ash and sulfur content.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".