MétaCan
Menu
Back to cohort
Record W4390956701 · doi:10.21274/an.v10i2.8295

HALAL TOURISM AS AN ALTERNATIVE TO IMPROVE THE ECONOMY OF LOCAL COMMUNITIES IN PAMEKASAN DISTRICT

2023· article· id· W4390956701 on OpenAlexaff
Fadllan Fadllan, Lailatul Maufiroh

Bibliographic record

VenueAn-Nisbah Jurnal Ekonomi Syariah · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicHalal products and consumer behavior
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsTourismBusiness administrationPolitical scienceBusinessLaw

Abstract

fetched live from OpenAlex

Abstrak: Pariwisata halal bukanlah hal baru bagi masyarakat. Potensi kekayaan alam, budaya, tradisi, adat istiadat, serta agama dapat menjadi potensi besar bagi Kabupaten Pamekasan. Jumlah Pariwisata yang sudah banyak dikelola di setiap daerah yang ada di Kabupaten Pamekasan menjadi bukti bahwa Pamekasan memiliki SDA dan SDM yang sangat kolaboratif, terlebih lagi letak wilayah Pamekasan berada di lintas jalan Kabupaten Sampang dan Sumenep, bahkan Pamekasan memiliki pesantren-pesantren besar, sehingga potensi pariwisata halal dapat dikomunikasikan dengan tokoh-tokoh agama setempat. Namun demikian, persentase kemiskinan di Kabupaten Pamekasan masi atas 13% selama lima tahun terakhir. Potensi Pariwisata halal ini dapat menopang perekonomian masyarakat lokal dengan mengurangi tingkat pengangguran, meningkatkan pendapatan masyarakat, pemberdayaan masyarakat, serta menjaga kelestarian lingkungan. Penelitian ini menggunakan metode kualitatif dengan mengeksplorasi pengembangan pariwisata halal sebagai upaya peningkatan ekonomi masyarakat lokal di Kabupaten Pamekasan. Data Primer diperoleh melalui observasi secara personal pada beberapa kecamatan di Kabupaten Pamekasan dan data sekunder diperoleh dari berbagai literatur tentang pariwisata halal dan ekonomi lokal. Hasil dari penelitian ini menyatakan bahwa sektor pariwisata syariah diyakini mampu meningkatkan perekonomian lokal masyarakat; pemerintah dan masyarakat diharapkan dapat berkolaborasi sebagai pemangku kebijakan dan pengelola pariwisata halal; optimalisasi SDA dan SDM diperlukan untuk meningkatkan kompetensi dan kualitasnya; serta optimalisasi pariwisata halal dapat dikembangkan mengikuti perkembangan teknologi seperti promosi yang ada di media sosial. Kata kunci: pariwisata halal; ekonomi lokal, manajemen SDA, manajemen SDI Abstract: Halal tourism is not a new term for the society. The potential for natural wealth, culture, traditions, customs, and religion can be a great potential for Pamekasan Regency. The number of tourism destinations that has been managed in many areas in Pamekasan Regency is proved that Pamekasan has very collaborative natural resources and human resources, moreover Pamekasan area is on the crossroads of Sampang and Sumenep Regencies. Eventhough, Pamekasan has large Islamic boarding schools, so the potential Halal tourism can be communicated with local religious leaders. This potential of halal tourism can support the economy of local communities by reducing unemployment rates, increasing people's income, empowering society, and preserving the environment. This research uses a qualitative method by exploring the development of halal tourism as an effort to improve the economy of local society in Pamekasan. Primary data was obtained through personal observation in several sub-districts in Pamekasan Regency and secondary data was obtained from various literature on halal tourism and the local economy. The results of this study state that the sharia tourism sector is believed to be able to improve the local society’s economy; the government and the community are expected to be able to collaborate as policy makers and managers of halal tourism; optimization of natural resources and human resources is needed to improve competence and quality; and optimization of halal tourism can be developed following technological developments such as promotions on social media. Keywords: halal tourism, economy of local society, SDA management, SDI management.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.320
Teacher spread0.281 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAn-Nisbah Jurnal Ekonomi SyariahSame topicHalal products and consumer behaviorFrench-language works237,207