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Record W4309735844 · doi:10.51172/jbmb.v3i3.229

Popularitas Empat Destinasi Wisata Pulau Terbaik Dunia Menggunakan Google Trends

2022· article· id· W4309735844 on OpenAlex
I Gusti Bagus Rai Utama, I Wayan Ruspendi Junaedi, PA Andiena Nindya Putri, I Made Sumartana

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJurnal Bali Membangun Bali · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHumanitiesArt

Abstract

fetched live from OpenAlex

Tujuan: Penelitian ini dilakukan untuk menganalisis popularitas empat destinasi wisata pulau di dunia yaitu Phuket, Bali, Hawaii, dan Langkawi.
 Metode penelitian: Penelitian ini menggunakan alat analisis statistik deskriptif dengan bantuan Google Trends untuk menentukan popularitas empat destinasi pulau tersebut.
 Hasil dan pembahasan: Analisis menunjukkan bahwa sejak awal tahun 2000 hingga akhir tahun 2021, destinasi Phuket sangat populer bagi wisatawan yang berasal dari Thailand sendiri, Russia, Turkey, Hong Kong, dan Singapore. Bali sangat populer di kalangan wisatawan Indonesia sendiri, Netherlands, India, Australia, dan Belgium. Hawaii sangat populer di kalangan wisatawan dari United States sendiri, Japan, Canada, Brazil, dan South Korea. Langkawi sangat populer di kalangan wisatawan yang berasal dari Malaysia sendiri, Singapore, Pakistan, Hong Kong, dan Egypt.
 Implikasi: Destinasi wisata yang paling populer adalah Hawaii, kemudian Bali, lalu Phuket, dan yang terakhir adalah Langkawi. Bali menduduki posisi kedua atau setelah Hawaii.

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.

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)0.006
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0060.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0140.000

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 head0.024
GPT teacher head0.294
Teacher spread0.269 · 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