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Record W4224022483 · doi:10.24032/ijeacs/0402/005

Mangrove Ecotourism Information System Based on Digital Book and Online Reservations

2022· article· en· W4224022483 on OpenAlexaboutno aff
I Gede Sujana Eka Putra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsEcotourismTourismVoucherBusinessMangroveQuarter (Canadian coin)PaymentGeographyPromotion (chess)Environmental planningPolitical scienceEcologyFinance

Abstract

fetched live from OpenAlex

Bali's tourism sector has faced serious challenges since the pandemic, with Bali's economic growth rate of -12.28% in the third quarter of 2020. Kampoeng Kepiting Mangrove Ecotourism located in Tuban, Kuta Badung district, Bali province is one of the tourism sectors which suffered a heavy impact. Before the pandemic, ecotourism visitors increased however during the pandemic, the number of visits decreased significantly. This study aims to develop a mangrove ecotourism information system, based on digital books and online reservations. The ecotourism digital book outlines the catalog of tour packages offered along with information on the mangrove tour packages for conservation and education. Based on the information from a digital book, potential visitors can use an online reservation application to make a reservation for tour packages and do payment by bank transfer. Once the payment process is done, visitors get digital vouchers to use the tour packages they have been reserved. The E-Voucher was used to visit the ecotourism of Kampoeng Kepiting. The development of a mangrove information system is expected to support the promotion of ecotourism in the recovery of ecotourism during the COVID-19 pandemic.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.252
Teacher spread0.240 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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