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Record W4416539147 · doi:10.51878/knowledge.v5i4.7620

PERAN KELEMBAGAAN DALAM PENGEMBANGAN ECOTOURISM BERBASIS MANGROVE LIBSANGAJ DI DESA POHEA KECAMATAN SANANA UTARA KABUPATEN KEPULAUAN SULA

2025· article· W4416539147 on OpenAlexaff
Abdul Haris Soamangon, Andiah Nurhaeny, Rifyan Ruman

Bibliographic record

VenueKNOWLEDGE Jurnal Inovasi Hasil Penelitian dan Pengembangan · 2025
Typearticle
Language
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSWOT analysisEcotourismMangroveGovernment (linguistics)TourismSocializationHuman resources

Abstract

fetched live from OpenAlex

Libsangaj Mangrove Tourism is managed by BUMDes Manayana, there are findings that the lack of socialization and control function of institutions in the mangrove-based ecotourism development program in Pohea Village and the benefits are less felt by the surrounding community and the low quality of local human resources (limited reliable human resources in environmental management and tourism development) in addition to the lack of institutional roles as facilitators in cooperation between institutional concerns so that there is a lack of maintenance of existing infrastructure, as well as a lack of attention or cooperation with stakeholders. The number of respondents in this study was 35 respondents consisting of 20 people from the community elements directly adjacent to the mangrove ecosystem, 10 people from tourists and 5 people from government elements both from the Tourism Office and the Village Government. Qualitative Descriptive Analysis and SWOT Analysis, are used to describe the development plan and the role of institutions in the development of mangrove ecotourism. Stakeholders involved in the development of Mangrove ecotourism in Pohea Village, North Sanana District are classified into 6 elements which are included, including Bappeda of Sula Islands Regency, Environmental Service, Forestry Service, Tourism, Pohea Village Government and Village Community2. (Diversification Strategy) is one of the strategies that can be used based on the results of SWOT calculations to support the development of mangrove ecotourism in Pohea Village, North Sanana District. ABSTRAKWisata Mangrove Libsangaj dikelola oleh BUMDes Manayana terdapat temuan bahwa kurangnya sosialisasi dan fungsi kontrol dari kelembagaan pada program pengembangan ekowisata berbasis mangrove di Desa Pohea dan kurang dirasakan manfaatnya oleh masyarakat sekitar dan rendahnya kualitas sumber daya manusia lokal (keterbatasan sumber daya manusia yang handal dalam pengelolaan lingkungan dan pengembangan pariwisata) selain itu kurangnya peran kelembagaan sebagai fasilitator dalam kerja sama antar perhatian dari kelembagaan sehingga terdapat kurangnya perawatan terhadap infrastruktur yang telah tersedia, serta kurangnya perhatian atau kerja sama dengan para stakeholders. Jumlah Responden dalam penelitian ini berjumlah 35 responden yang terdiri dari 20 orang dari unsur Masyarakat berbatasan langsung dengan ekosistem mangrove, 10 orang dari wisatawan dan 5 orang dari unsur pemerintah baik dari Dinas Pariwisata dan Pemerintah Desa. Analisis Deskriptif Kualitatif dan Analisis SWOT, digunakan untuk mendeskripsikan rencana pengembangan serta peran kelambagaan dalam peengembangan ekowisata mangrove. Stakeholder yang terlibat dalam pengembangan ekowisata Mangrove Desa Pohea Kecamatan Sanana Utara diklasifikasikan menjadi 6 elemen yang tergabung antara lain Bappeda Kabupaten Kepulauan Sula, Dinas Lingkungan Hidup, Dinas Kehutanan, Pariwisata, Pemerintah Desa Pohea dan Masyarakat Desa2. (Diversifikasi Strategi) merupakan salah satu strategi yang dapat diguanakan berdasarkan hasil perhitungan SWOT agar mendukung pengembangan ekowisata mangrove di Desa Pohea Kecamatan Sanana Utara.

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)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0030.007
Science and technology studies0.0100.004
Scholarly communication0.0030.003
Open science0.0080.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.304
Teacher spread0.283 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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