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Record W4297808226 · doi:10.29313/bcsurp.v2i2.3424

Identifikasi Tingkat Partisipasi Masyarakat dalam Pengembangan Desa Wisata Lamajang Kabupaten Bandung

2022· article· en· W4297808226 on OpenAlexaff
Faizal Hamada, Gina Puspitasari

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTourismCommunity participationGeographyPolitical scienceSocioeconomicsSociology

Abstract

fetched live from OpenAlex

Abstract. Tourism is one of the leading sectors that contributes the highest foreign exchange in Indonesia. Tourism activities are unlikely to be successful if there is no participation from the community. Lamajang Village is one of the villages in Indonesia which has been a tourism village since 2011. The purpose of this study was to determine the level of community participation in the development of the Lamajang Tourism Village. The method used is quantitative descriptive statistics with scoring analysis methods and participation rate analysis. From the results of the analysis, it can be concluded that the level of participation of the people of Lamajang Village is high, seen from the 4 stages, namely the planning stage of 92%, the implementation stage of 85.4%, the utilization stage of the results of 87%, the evaluation stage of 81% and the average percentage of participation. the average is 86.25%. However, the enthusiasm of the community has not been optimally supported by the village government in terms of funding so that the development of the Lamajang Tourism Village has not been optimal. Abstrak. Pariwisata merupakan salah satu sektor unggulan penyumbang devisa tertinggi di Indonesia. Kegiatan Pariwisata tidak mungkin berhasil apabila tidak adanya partisipasi dari masyarakat. Desa Lamajang salah satu desa di Indonesia yang merupakan Desa Wisata sejak tahun 2011. Tujuan dari penelitian ini yaitu untuk mengetahui tingkat partisipasi masyarakat dalam pengembangan Desa Wisata Lamajang. Metode yang digunakan yaitu statistik deskriptif kuantitatif dengan metode analisis skoring dan Analisis tingkat partisipasi. Dari hasil analisis dapat disimpulkan bawah tingkat partisipasi masyarkat Desa Lamajang yaitu tinggi, dilihat dari 4 tahapan yaitu tahap perencanaan sebesar 92%, tahap pelaksanaan sebesar 85,4%, tahap pemanfaatan hasil sebesar 87%, tahap evaluasi sebesar 81% dan persentase partisipasi rata-rata yaitu sebsar 86,25%. Namun, antusias masyarakat tersebut belum didukung secara optimal oleh pemerintah desa dari segi pendanaan sehingga, pengembangan Desa Wisata Lamajang belum optimal.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.003

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 head0.061
GPT teacher head0.302
Teacher spread0.241 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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