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Record W4417266986 · doi:10.1051/e3sconf/202567706002

Cost analysis of repairing damage to coastal protection structures in Pariaman City, West Sumatra

2025· article· fr· W4417266986 on OpenAlexaff
Monika Natalia, Rahmi Hidayati, Anik Rapis, Masrillayanti, Zulfira Mirani, Suhendrik Hanwar, Jumyetti Jumyetti, Sulleyman Sourkan

Bibliographic record

VenueE3S Web of Conferences · 2025
Typearticle
Languagefr
FieldEngineering
TopicEarthquake and Tsunami Effects
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsRevetmentRubbleSafeguardPrioritizationShoreGovernment (linguistics)Cost–benefit analysisCost analysis

Abstract

fetched live from OpenAlex

Pariaman City is in West Sumatra Province, with a land area of 73.36 km² and a coastline length of 12.7 km. The local government has constructed coastal protection structures such as groins, jetties, and revetments to safeguard the shoreline and preserve the coastal ecosystem from damage caused by waves, abrasion, accretion, and erosion. Over time, several components of the groin, jetty, and revetment structures have experienced deterioration, necessitating repair. This study aims to identify the damage to each structure, propose appropriate repair solutions, and estimate the repair cost budget.The assessment of damage, repair guidelines, and prioritization of interventions are carried out based on the Regulation of the Minister of Public Works No. 09/PRT/M/2010 and the Circular Letter of the Minister of Public Works No. 01/SE/M/2011. This study found that the primary cause of damage was the disintegration of the rubble arrangements in several sections. The recommended repair solution involves adding new rocks and rearranging existing ones to interlock securely. The estimated cost of repairs is IDR 662,014,140.00.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.277
Teacher spread0.252 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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