Penerapan Teknologi Reverse Osmosis Berdaya Panel Surya Untuk Pemurnian Air Sumur dalam Rangka Penyediaan Air Bersih di SDN Inpres Arso X: Proyek Percontohan
Bibliographic record
Abstract
The Community Service (PkM) activity has been carried out with the PkM partner, SD Negeri Inpres Arso X, in Keerom District, Papua, Indonesia. The issue faced by the PkM partner is its dependence on well water as the primary source of water for daily activities. However, the well water does not meet hygiene standards and is contaminated by bacteria, chemicals, or other pollutants that pose health risks, especially for children. Additionally, the limited access to electricity in Arso X creates a need for alternative power to operate the water purification system. This PkM activity aims to address these issues by implementing a solar-powered Reverse Osmosis system to purify the well water owned by the PkM partner. The PkM activities consist of three stages. First is the preparation stage, where the PkM team surveyed the location and interviewed the PkM partner. The next step involved designing the solar panel mounts, the RO system, and supporting electrical components. During the implementation stage, the PkM team conducted awareness sessions via short interactive lecture on the importance of clean water and the role of renewable energy, followed by a demonstration of water purification using solar-powered RO technology. The monitoring and evaluation phase showed that the PkM partner has benefited from the application of the solar-powered RO technology. Furthermore, regular maintenance of the RO system and solar panels is necessary.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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".