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Record W4407003308 · doi:10.56071/sintesi.v2i1.1086

Penerapan Struktur Parapet dan Tanggul Tanah dalam Pengendalian Banjir Kali Jeroan Hilir di Desa Balerojo, Kab. Madiun, Jawa Timur

2024· article· id· W4407003308 on OpenAlexaff
Samuel Harjanto, Muhammad Zaini Arief, Rifki Maulana, Diwi Jelia Fitri, Fanny Aliza Savitri

Bibliographic record

VenueSeminar Nasional Teknik Sipil · 2024
Typearticle
Languageid
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsKaliGeology

Abstract

fetched live from OpenAlex

Kali Jeroan merupakan salah satu sungai yang hampir setiap tahunnya terjadi curah hujan yang tinggi sehingga mengakibatkan banjir dan ketidakmampuan sungai mengaliri debit air dari hulu yang begitu besar. Banjir yang menggenangi area pemukiman yang berada di sekitar sempadan sungai setinggi 0,5 – 1,50 m dan menutupi akses jalan antar desa di daerah Balerejo, Kab. Madiun mengakibatkan aktivitas warga menjadi terhenti selama banjir. Akibat dari tata ruang yang berahli fungsi paada daerah hulu serta ilegal dalam pemanfaatan sumber daya alam sehingga regim Kali Jeroan mejadi terpengaruh. Adanya ketidakmampuan penampang sungai kali jeroan adalah salah satu penyebab banjir di beberapa titik pemukiman di daerah Balerejo. Sehingga dilakukan pembangunan infrastruktur pengendalian banjir berupa Parapet dan Tanggul Tanah di beberapa titik meluapnya banjir tersebut. Penelitian bertujuan menganalisis efektifitas pembangunan pencegah banjir terhadap banjir yang dapat dikurangi, yang ditunjukkan dengan penurunan elevasi muka air di Kali Jeroan melalui pemodelan HEC-RAS. Simulasi HEC-RAS menunjukkan hasil untuk kondisi eksisting dengan rencana debit banjir siklus 100 tahun, bahwa muka air banjir meluap dengan ketinggian antara 0,5 m hingga 1,59 m. Setelah dilakukannya peningkatan parapet dan peningkatan tanggul tanah, didapatkan elevasi muka air banjir tidak mengalami overtopping, sehingga banjir dapat diantisipasi.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.012
GPT teacher head0.227
Teacher spread0.215 · 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 designNot applicable
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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