Manajemen Risiko pada Pelaksanaan Pekerjaan Bendung Batang Pagian Kabupaten Dharmasraya
Bibliographic record
Abstract
Risks in construction project work are events or occurrences that are uncertain but can have a positive or negative impact on the sustainability of a project. In this research, the author carried out an analysis of risks, impacts and risk responses caused by failure in the construction work of the Batang Pangian weir construction project. The aim is to identify potential risks and the impact of risks that occur in the implementation of the Batang Pagian weir project work, as well as to obtain risk responses that can be carried out. The research was conducted qualitatively through field surveys and interviews with respondents involved in the field. Next, a risk assessment was carried out referring to the Godfrey development method. Based on the results of research analysis, it was found that the flood disaster was the main trigger for failure in the implementation of construction work for the Batang Pangian Dam. The impact of the flood disaster resulted in the main irrigation canal being closed so that water flow became obstructed and had an impact on the agricultural sector. The risk responses carried out include creating alternative channels and conducting outreach to the community regarding this problem.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.005 |
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".