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Record W3184919997 · doi:10.36418/jist.v2i7.186

Strategi Bagian Pengelola Perbatasan dalam Pengembangan Potensi Pariwisata Kabupaten Karimun

2021· article· id· W3184919997 on OpenAlexaff
Roli Sambuardi

Bibliographic record

VenueJurnal Indonesia Sosial Teknologi · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesBusiness administrationPolitical sciencePhysicsBusinessPhilosophy

Abstract

fetched live from OpenAlex

Penelitian ini berawal dari masih banyaknya masalah pariwisata yang ada di Kabupaten Karimun yang belum dikembangkan. Hal ini dikarenakan adanya potensi pariwisata yang sangat startegi di Kabupaten Karimun karena masih alaminya wilayah Kabupaten Karimun namun tidak dikelola dengan baik, sarana dan prasarana di tempat wisata belum merata. Oleh karena itu tujuan dari penelitian ini adalah untuk mendeskripsikan dan menganalisis strategi Bagian Pengelola Perbatasan dalam Pengembangan Potensi Pariwisata di Kabupaten Karimun. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan jenis primer dan sekunder yang diperoleh dari Observasi, Wawancara, dan Pengalaman langsung. Adapun focus dari penelitian adalah (Strengths) Kekuatan (Weaknesses) Kelemahan (Opportunities) Peluang (Threats) Ancaman yang dimiliki Kabupaten Karimun seperti, Kekuatan: masih alaminya wilayah Kabupaten Karimun dan memiliki Potensi Pariwisata yang banyak sehingga menjadi daya tarik pengunjung mancannegara untuk berkunjung ke Kabupaten Karimun; Kelemahan: Sarana dan Prasarana yang sangat masih kurang dalam menarik daya tarik pengujung untuk serta anggaran yang ada sangat terbatas dalam pengembang potesi pariwisata; Peluang: Situasi keamanan dan kenyamanan yang kondusif serta Kabupaten Karimun menjadi branda terdepan Republik Indonesia menjadi daya tarik pengunjung dari Negara tetangga seperti Malaysia dan Singapura; Ancaman: Pusat wisata diluar Kabupaten Karimun lebih berkembang pesat dan lebih banyak menwarkan destinasi wisata yang beragam.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.293
Teacher spread0.259 · 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
Published2021
Admission routes1
Has abstractyes

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