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Record W4383000431 · doi:10.53810/jt.v23i2.452

REDESAIN KAWASAN PARIWISATA MENARA SIGER DI BAKAUHENI HARBOUR CITY

2022· article· id· W4383000431 on OpenAlexaff
Wahyu Krismanto, Dwi Jati Lestariningsih, Yohanes Wahyu Dwi Yudono

Bibliographic record

VenueTeodolita Media Komunkasi Ilmiah di Bidang teknik · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Menara siger sebagai monumen yang menjadi kebanggaan masyarakat Lampung, sebagai perwujudan dari mahkota pengantin perempuan dari adat Lampung. Arsitek Menara siger adalah Ir.Hi. Anshori Djausal M.T. (putra Lampung). Untuk lokasi menara siger sendiri berada di Kecamatan Bakauheni Kabupaten Lampung Selatan yang lokasinya di area penyeberangan antara Pulau Jawa dan Sumatera atau penyeberangan (ASDP) bakauheni.
 Dari beberapa isu / berita mengenai perencanaan area pariwisata berbasis internasional di area bakauheni dengan sebutan bakauheni harbour city, tahap awal direncanakan pengembangan area menara siger menjadi area pendidikan, kebudayaan dan pengenalan kepada wisatawan. Dari alasan tersebut laporan ini menjelaskan beberapa ide yang ingin penulis angkat sebagai tugas akhir dalam mendapatkan gelar setara S1 fakultas teknik dengan meredesain/mengembangkan kawasan pariwisata menara siger menjadi area pengenalan, pendidikan, kesenian, kebudayaan dan keberagaman yang dimiliki oleh Provinsi Lampung dengan tetap mempertahankan menara siger menjadi inti dari area tersebut. 
 Kata Kunci : Redesain, Kawasan Pariwisata, Menara Siger, Bakauheni Harbour City.

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)0.011
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0070.002
Scholarly communication0.0010.001
Open science0.0050.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.039
GPT teacher head0.286
Teacher spread0.248 · 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.

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
Published2022
Admission routes1
Has abstractyes

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