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Record W4226268521 · doi:10.23960/snip.v1i1.134

Pembangunan Tampungan Air Hujan (ABSAH) Pada Daerah Kekeringan Di Kabupaten Tulang Bawang Barat

2022· article· id· W4226268521 on OpenAlexaff
Amalia Rahayu

Bibliographic record

VenueSeminar Nasional Insinyur Profesional (SNIP) · 2022
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsForestryPhysicsGeography

Abstract

fetched live from OpenAlex

Kajian ini bertujuan untuk memanfaatkan bangunan tampungan air dalam menyediakan air baku pada daerah kekeringan di Kabupaten Tulang Bawang Barat. Katalog Desa Kelurahan Rawan Kekeringan BNPB 2019, menunjukkan bahwa Desa Way Sido Kecamatan Tulang Bawang Udik, Desa Margo Dadi Kecamatan Tumijajar, dan Desa Penumangan Baru Kecamatan Tulang Bawang Tengah merupakan salah satu wilayah kekeringan dengan kelas bahaya tinggi. Untuk mengurangi dampak bencana kekeringan, Balai Besar Wilayah Sungai Mesuji Sekampung memprogramkan pembangunan ABSAH pada ketiga desa tersebut. Dimensi bangunan didesain berdasarkan jumlah penduduk yang dilayani dan besar curah hujan harian dengan kapasitas tampung ABSAH sebesar 45 m3. Proses pembangunan dilaksanakan dengan skema padat karya yang yang mempekerjakan warga sekitar bangunan ABSAH yang nantinya akan memanfaatkan bangunan tersebut sebagai sumber air mereka.

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), Science and technology studies, Open science, 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 score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0020.008
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0080.002

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 head0.015
GPT teacher head0.230
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 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
Published2022
Admission routes1
Has abstractyes

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