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Record W4381621919 · doi:10.31315/psb.v4i1.8911

Kesesuaian Wisata di Pantai Pasir Panjang, Kelurahan Sedau, Kecamatan Singkawang Selatan, Kota Singkawang, Provinsi Kalimantan Barat

2023· article· id· W4381621919 on OpenAlexaff
Aisya Rahmanita, Muammar Gomareuzzaman, Johan Danu Prasetya

Bibliographic record

VenueProsiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMI · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsBiology

Abstract

fetched live from OpenAlex

Kota Singkawang adalah salah satu tujuan destinasi wisata yang ada di Kalimantan Barat. Kawasan pesisir Kota Singkawang dikembangkan sebagai objek wisata pantai. Pantai Pasir Panjang merupakan salah satu objek wisata pantai yang terkenal di Kota Singkawang. Pantai Pasir Panjang memiliki panorama berupa Laut Natuna dan pulau-pulau kecil yang ada di seberangnya. Aktivitas wisata di pantai harus mempertimbangkan faktor kenyamanan, keamanan, dan keselamatan pengunjung, sehingga perlu dilakukan evaluasi kesesuaian wisata pantai. Tujuan dari penelitian ini adalah untuk mengevaluasi tingkat kesesuaian wisata di Pantai Pasir Panjang. Metode yang digunakan terdiri dari metode survei lapangan, metode wawancara, serta metode skoring dan pembobotan. Skoring dan pembobotan dilakukan dengan sepuluh parameter berupa tipe pantai, lebar pantai, material dasar perairan, kecepatan arus, kecerahan perairan, kemiringan pantai, tutupan lahan pantai, biota berbahaya, dan ketersediaan air tawar. Hasil kesesuaian wisata rekreasi pantai pada Pantai Pasir Panjang bernilai sebesar 77,78% yang termasuk kategori sesuai (S2). Upaya pengelolaan perlu dilakukan guna meningkatkan kesesuaian wisata di Pantai Pasir Panjang.Kata Kunci: Evaluasi; Kesesuaian Wisata; Pantai; Pesisir; Wisata

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.006
Science and technology studies0.0090.002
Scholarly communication0.0020.002
Open science0.0040.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0000.001

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 head0.034
GPT teacher head0.309
Teacher spread0.274 · 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 designBench or experimental
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueProsiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMISame topicCommunity-based Tourism Development and SustainabilityFrench-language works237,207