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Record W4409616396 · doi:10.38035/dit.v1i4.1130

Gunung Padang Megalithic Site Management Strategy: SWOT Analysis Approach for Sustainable Tourism Development

2024· article· en· W4409616396 on OpenAlex
Risma Viantara, Hilman Rismayadi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDinasti Information and Technology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSWOT analysisTourismEnvironmental planningSustainable developmentGeographyMegalithEnvironmental resource managementBusinessPolitical scienceEnvironmental scienceArchaeologyMarketing

Abstract

fetched live from OpenAlex

This study focuses on the development and preservation of the Megalithic Site of Gunung Padang in Cianjur, West Java, which is one of the largest megalithic sites in Southeast Asia. The purpose of this research is to identify the potential and challenges in managing this site as a sustainable cultural tourism destination. The research methods used include a SWOT (Strength, Weakness, Opportunity, Threat) analysis to evaluate aspects of topography, accessibility, and environmental sustainability. The findings show that proper management and the development of educational tourism facilities are crucial to maintaining the site's preservation and enhancing visitor experiences. The study also recommends improving accessibility and implementing sustainable waste management as part of conservation efforts. Thus, this research provides significant contributions to the preservation of cultural heritage and the development of sustainable tourism in West Java.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.011
GPT teacher head0.270
Teacher spread0.260 · 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