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PEMETAAN POTENSI EKOWISATA WILAYAH PESISIR DI KABUPATEN BULELENG

2016· article· id· W2582378919 on OpenAlexaff
I Putu Ananda Citra

Bibliographic record

VenueJurnal Ilmu Sosial dan Humaniora · 2016
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsForestryEcotourismGeographyEnvironmental scienceTourismArchaeology

Abstract

fetched live from OpenAlex

wilayah pesisir Kabupaten Buleleng dengan tujuan 1) mendeskripsikan potensi ekowisata yang dimiliki DTW wilayah pesisir Kabupaten Buleleng, 2) Menganalisis peranan masyarakat desa adat untuk pengembangan potensi ekowisata di pesisir Kabupaten Buleleng, 3) memetakan sebaran tingkat potensi ekowisata di kawasan pesisir Kabupaten Buleleng. Metode penelitian yang digunakan dalam penelitian ini adalah survai didukung dengan metode observasi. Pengambilan sampel dengan teknik purposive sampling. Analisis data dilakukan dengan teknik analisis deskriptif kualitatif. Hasil penelitian menunjukkan, 1) Potensi ekowisata yang berada di wilayah pesisir Kabupaten Buleleng secara umum dapat dikembangkan sebagai ekowisata. 2) Peranan Desa Adat dalam pengembangan ekowisata pesisir dalam kategori tinggi. DTW yang dikelola oleh desa adat memberikan tanggung jawab langsung untuk mengembangkan potensi yang dimiliki. 3) Sebaran tingkat potensi ekowisata pada kawasan timur masih perlu ditingkatkan, sedangkan wilayah pesisir bagian dan bagian barat memiliki potensi tinggi. Nilai tertinggi pada pesisir bagian barat. Hal ini karena DTW biorock di Desa Pemuteran melibatkan wisatawan untuk turut menjaga lingkungan dan berpartisipasi dalam melestarikan terumbu karang sebagai daya tarik utama. Kata kunci: Pemetaan, Ekowisata, Wilayah Pesisir Abstract This research was conducted in the coastal areas of Buleleng with the purpose of 1) describe the potential of ecotourism owned DTW coastal areas of Buleleng, 2) to analyze the role of indigenous villagers for potential development of ecotourism in the coastal district of Buleleng, 3) to map the distribution of the level of potential eco-tourism in the coastal area district Buleleng. The method used in this study is a survey supported by the observation method. Sampling with purposive sampling technique. Data was analyzed using qualitative descriptive analysis techniques. Results showed that 1) The potential for ecotourism in the coastal areas of Buleleng in general can be developed as an ecotourism. 2) Role of the Village People in coastal ecotourism development in the high category. DTW managed by indigenous villages provide direct responsibility for developing potential. 3) Distribution rate ecotourism potential in the eastern region still needs to be improved, while the coastal areas and western parts have a high potential. The highest value on the western coast. This is because the DTW biorock in the village of Pemuteran involving tourists to participate in maintaining the environment and participate in the preservation of coral reefs as the main attraction. Keywords: Mapping, Ecotourism, Coastal Areas

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)0.001
metaresearch head score (Gemma)0.001
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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.032
GPT teacher head0.287
Teacher spread0.255 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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