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Record W4403238675 · doi:10.29313/bcsurp.v4i3.14510

Optimalisasi Potensi Pariwisata Halal Inklusif di Desa Alamendah melalui Pendekatan Neurosains

2024· article· en· W4403238675 on OpenAlexaff
Yasmin Arumi Nabila, Imam Indratno

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHalal products and consumer behavior
Canadian institutionsEncana (Canada)
FundersUniversitas Islam Bandung
KeywordsBusiness

Abstract

fetched live from OpenAlex

Abstract. Alamendah Village has a level of attention and interest in realizing the development of inclusive halal tourism, both for the community and its stakeholders. However, there is limited knowledge related to the implementation of halal tourism, even though the people of Alamendah Village have wanted the halal concept to be formed into a halal environment in Alamendah Village. Community empowerment is one of the solutions in improving the knowledge, skills, and quality of human resources to face social problems that arise in developing inclusive halal tourism, so that the community experiences a social transformation. Transformation in Alamendah Tourism Village can be realized by empowerment efforts aimed at increasing community motivation for inclusive halal tourism. The development of community motivation can be identified using the neuro islamic tourism approach by measuring the condition of individuals in real time using electroencephalography (EEG). The main purpose of this study is to identify the development of motivation of the people of Alamendah Village towards inclusive halal tourism based on electroencephalography measurements. This study reveals that the people of Alamendah Village still have a lack of understanding regarding inclusive halal tourism, due to the lack of detailed implementation guidelines related to the development of inclusive halal tourism, so that the condition of respondents' motivation level has decreased in supporting the development of inclusive halal tourism. Abstrak. Desa Alamendah memiliki tingkat perhatian dan ketertarikan dalam mewujudkan pengembangan pariwisata halal yang inklusif, baik pada masyarakat maupun stakeholder nya. Namun terdapat keterbatasan pengetahuan terkait penerapan pariwisata halal, meskipun masyarakat Desa Alamendah telah menginginkan konsep halal dapat terbentuk menjadi sebuah lingkungan halal di Desa Alamendah. Pemberdayaan masyarakat menjadi salah datu solusi dalam meningkatkan pengetahuan, keterampilan, dan kualitas SDM untuk menghadapi permasalahan sosial yang timbul dalam mengembangkan pariwisata halal inklusif, sehingga masyarakat mengalami sebuah transformasi sosial. Transformasi di Desa Wisata Alamendah dapat diwujudkan dengan upaya pemberdayaan yang bertujuan meningkatkan motivasi masyarakat terhadap pariwisata halal inklusif. Perkembangan motivasi masyarakat dapat diidentifikasi menggunakan pendekatan neuro islamic tourism dengan mengukur kondisi individu real time menggunakan elektroensefalografi (EEG). Tujuan utama penelitian ini yaitu mengidentifikasi perkembangan motivasi masyarakat Desa Alamendah terhadap pariwisata halal inklusif berdasarkan pengukuran elektroensefalografi. Penelitian ini mengungkapkan bahwa masyarakat Desa Alamendah masih memiliki pemahaman yang kurang terkait pariwisata halal inklusif, akibat kurangnya petunjuk pelaksanaan yang detil terkait pengembangan pariwisata halal secara inklusif, sehingga kondisi tingkat motivasi responden mengalami penurunan dalam mendukung perkembangan pariwisata halal inklusif.

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: none
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
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.002

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 head0.090
GPT teacher head0.333
Teacher spread0.243 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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