Identifikasi Variabel Pengembangan Pariwisata Berbasis Green Tourism
Bibliographic record
Abstract
Abstract. Tourism is an activity that involves people traveling to destinations outside their primary residence and contributes significantly to the global and local economy. Nonetheless, tourism in Indonesia faces challenges such as a lack of attention to the environment, inadequate infrastructure, and the low quality of human resources in the tourism sector. A case in point is the Sipin Lake Tourism Area in Jambi City, which shows problems with lake water quality, lack of facilities, and lack of coordination between stakeholders, hindering efforts to realize sustainable tourism. Sustainable tourism is important for long-term ecological, social and cultural balance. In its development, there are four main components known as 4A: attractions, amenities, accessibility, and ancillary. The concept of green tourism, which is in line with the 4As, integrates sustainability principles to create an environmentally friendly destination and contribute positively to local communities. However, there is no clear identification of variables in this green tourism-based tourism development. Therefore, this study aims to identify important variables in green tourism-based tourism development in order to achieve sustainable tourism. The research method was conducted through literature study and descriptive analysis. The result of this study is that there are seven important variables in the development of green tourism: environmental responsibility, strengthening the local economy, cultural diversity, enriching experiences, minimizing carbon emissions, waste management, and fostering long-term productivity in the development of green tourism. Abstrak. Pariwisata merupakan aktivitas yang melibatkan perjalanan manusia ke tujuan di luar tempat tinggal utama mereka dan berkontribusi signifikan terhadap ekonomi global dan lokal. Meskipun demikian, pariwisata di Indonesia menghadapi tantangan seperti kurangnya perhatian terhadap lingkungan, infrastruktur yang kurang memadai, dan rendahnya kualitas sumber daya manusia di sektor pariwisata. Contoh kasus di Kawasan Wisata Danau Sipin, Kota Jambi yang menunjukkan masalah kualitas air danau, kekurangan fasilitas, dan kurangnya koordinasi antar pemangku kepentingan sehingga menghambat upaya perwujudan pariwisata berkelanjutan. Pariwisata berkelanjutan penting untuk keseimbangan ekologi, sosial, dan budaya jangka panjang. Dalam pengembangannya, terdapat empat komponen utama yang dikenal sebagai 4A: attractions, amenities, accessibility, dan ancillary. Konsep green tourism, yang sejalan dengan 4A, mengintegrasikan prinsip keberlanjutan untuk menciptakan destinasi ramah lingkungan dan berkontribusi positif pada masyarakat lokal. Namun, belum ada identifikasi variabel yang jelas dalam pengembangan pariwisata berbasis green tourism ini. Oleh karena itu, penelitian ini bertujuan untuk mengidentifikasi variabel-variabel penting dalam pengembangan pariwisata berbasis green tourism guna mencapai pariwisata berkelanjutan. Metode penelitian dilakukan melalui studi literatur dan analisis deskriptif. Hasil studi ini adalah terdapat tujuh variabel penting dalam pengembangan pariwisata berbasis green tourism, yaitu tanggung jawab lingkungan, penguatan ekonomi lokal, keberagaman budaya, memperkaya pengalaman, meminimalisir emisi karbon, manajemen limbah, dan menumbuhkan produktivitas jangka panjang.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".