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Manajemen Risiko pada Pelaksanaan Pekerjaan Bendung Batang Pagian Kabupaten Dharmasraya

2024· article· en· W4402627750 on OpenAlexaff
Junaidi Junaidi, Zarfinal Zarfinal, Bahrul Anif

Bibliographic record

VenueJurnal Talenta Sipil · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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.

Opus teacher head0.031
GPT teacher head0.227
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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