Setyo Purwoto : Reaktor Pengolah Air Bersih IPTEK Bagi Masyarakat Untuk Daerah Rawan Banjir
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Air dari genangan banjir sebagai air baku diproses dengan model reactor kompak berupa 3 (tiga) kolom tabung dengan 7 treatment : filterisasi, kemudian dialirkan lewat kran untuk dikontakkan dengan PAC, lalu masuk pada adsorben Zeolit, dilanjutkan dengan exchange resin kation untuk mereduksi kation dari air, kemudian exchange diteruskan ke resin anion. Setelah keluar dari ion exchange, pembubuhan larutan kaporit diinjeksikan guna pembunuhan bakteri. Untuk menghilangkan bau, dilakukan absorbansi menggunakan CA. Dari hasil treatment diperoleh kesimpulan bahwa : Pengolahan air banjir dengan model reactor kompak berupa 3 (tiga) kolom tabung dengan 7 treatment, yaitu : Filter, Poly Aluminium Chloride (PAC), Zeolit, Resin Kation, Resin Anion, Kaporit, dan Karbon Aktip (CA) mampu menurunkan parameter parameter : Warna 8.00 TCU, TDS 142.00 ppm, Kekeruhan 4.80 NTU, Kesadahan Total 586.50 ppm, Kalsium Hardness 305.00 ppm, Magnesium Hardness 51.80 ppm, Klorida 69.00 ppm, Alkalinity P 14.40 ppm, Alkalinity M 194.00 ppm, e-Coli 3.00 sat/100 ml.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 it