Analisis Penerapan Manajemen Proyek dalam Perencanaan Instalasi Pengolahan Air Limbah (IPAL) di Perkotaan (Studi Kasus di Kawasan Tb. Simatupang)
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
Urban WWTP development in the Simatupang area will integrating water life cycle, from managing waste water flow to reservoir, and then the raw water will be treated for drinking water. The most important effluent of waste water must be store first in the reservoir, and then treated for drinking water; it is possible direct converted from waste water to drinking water, however, the culture and religion of the community was not accepted. Construction of WWTP will be applied for business/mixuse area along 8 km and utilize 9 Ha land in the commercial area. The formulation of the problem of analyzing the application of project management in urban WWTP planning in the TB Simatupang area, is how the application of project management can affect the smoothness and success of the planning process for Urban WWTP development in the TB Simatupang area. In this problem formulation, the focus is placed on the effect of project management implementation on Simatupang WWTP planning. This led to research on evaluating the project management steps taken and their impact on the smoothness and success of the WWTP planning.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| 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 it