MétaCan
Menu
Back to cohort
Record W2513906445 · doi:10.14710/jkt.v18i2.522

Konversi Tinggi Pasang Surut Di Perairan Cilacap Terhadap Energi Yang Dihasilkan

2015· article· id· W2513906445 on OpenAlexaff
Gentur Handoyo, Agus A.D Suryoputro, Ibnu Pratikyo

Bibliographic record

VenueJurnal Kelautan Tropis · 2015
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Pasang surut merupakan parameter yang penting dalam memperoleh besaran energi pasang surut yang berdasarkan nilai muka air pasang tertinggi dan surut terendah. Perairan Kabupaten Cilacap, propinsi Jawa Tengah merupakan perairan yang terletak di Samudera Hindia yang diduga terdapat potensi energi pasang surut yang tinggi. Selain itu faktor lokal yang mempengaruhi adalah bentuk morfologi pantai yang berbentuk alamiah dan diperairan pantai seperti teluk dan selat sempit serta kedalaman perairan. Tipe pasang surut dan nilai muka air pasang tertinggi dan muka air surut terendah diperoleh menggunakan Metode Admiralty. Hasil yang didapt tipe pasang surut di perairan Kabupaten Cilacap Campuran Condong ke Harian Ganda dengan nilai formzahl 0,3. Sedangkan nilai muka air pasang tertinggi sebesar 2,3m dan surut terendah sebesar 0,05m. Hasil simulasi untuk luasan kolam tunggal 1,1 km2 diperoleh energi pasang surut sebesar 61.161 kWh selama kurun waktu satu tahun di perairan Kabupaten Cilacap, Propinsi Jawa Tengah. Maka dapat disimpulkan, bahwa pemanfaatan perencanaan kedepannya untuk memperoleh energi pasang surut yang maksimal sebagai sumber energi alternatif.Kata kunci : Energi, Pasang Surut, Perairan CilacapTidal is an important parameter in obtaining tidal energy quantities are based on the face value of the highest high water level and the lowest low water level. Cilacap Regency waters, Central Java province is located in the waters of the Indian Ocean which is allegedly contained the high potential tidal energy. Tidal are caused by the influece of the force attraction of the moon and the sun. Besides that the local factors affecting is the shaped of morphology coastal which is natural-shaped and in coastal waters such as gulf, narrow strait and the waters depth. The type and tidal value of the highest high water level and the lowest low water level is obtained by using admiralty methods, the results obtained in the tidal type Cilacap Regency waters mixed tide prevailing semi diurnal is formhazl value 0,3. While the face value of the highest high water level is 2,3 m and the lowest low water level is 0,05 m. Simulation results for expressing a single pool of 1,1 km2 of tidal ebergy acquired 61.161 kWh for one year in the waters of Cilacap Regency, Central Java province. Thus it can be inferred that the utilization of energy obtained can be refference in the future construction planning in the future to obtain the maximum tidal energy as a source alternative energy.Keywords : Energy, Tidal, Waters of Cilacap

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.021
GPT teacher head0.217
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJurnal Kelautan TropisSame topicCoastal Management and DevelopmentFrench-language works237,207