Strategi Pengembangan Pantai Matras dengan Konsep Waterfront City di Kecamatan Sungailiat, Kabupaten Bangka
Bibliographic record
Abstract
Abstract. The location of Bangka Belitung Island, which is surrounded by the sea, means that Bangka Belitung Island has many scattered beaches. This results in competitiveness to compete in attracting visitors' attention. Matras Beach has a lot of potential and superior power that can be utilized for development. This research aims to identify the potential and problems in developing Matras Beach in Sungailiat City, Bangka Regency and develop a strategy for developing Matras Beach with a Waterfront concept in Sungailiat City, Bangka Regency. Through a mixed method or combining qualitative and quantitative methods. The variables used in this research are beach shape, coastal topography, coastal area infrastructure, coastal area accessibility, supporting activities, oceanography, economic conditions, socio-cultural conditions, and population. The research results show that several potentials, weaknesses, opportunities and problems were found in developing Matras Beach with the Waterfront City concept, and there are several development strategies that have been formulated. Abstrak. Letak Pulau Bangka Belitung yang dikelilingi oleh lautan menjadikan Pulau Bangka Belitung memiliki banyak pantai yang tersebar. Hal tersebut berakibat pada adanya daya saing untuk berkompetisi dalam memikat perhatian pengunjung. Pantai Matras memiliki banyak potensi dan daya unggul yang dapat dimanfaatkan untuk dilakukannya sebuah pengembangan. Penelitian ini bertujuan untuk mengidentifikasi potensi dan masalah dalam pengembangan Pantai Matras di Kota Sungailiat, Kabupaten Bangka dan menyusun strategi pengembangan Pantai Matras dengan konsep Waterfront di Kota Sungailiat, Kabupaten Bangka. Melalui metode mixed method atau menggabungkan dari metode kualitatif dan kuantitatif. Variabel yang digunakan dalam penelitian ini adalah bentuk pantai, topografi kawasan pesisir, sarana prasarana kawasan pesisir, aksesibilitas kawasan pesisir, aktivitas penunjang, oceanography, kondisi ekonomi, kondisi sosial budaya, dan kependudukan. Hasil penelitian menunjukkan bahwa ditemukannya beberapa potensi, kelemahan, peluang, dan masalah dalam melakukan pengembangan Pantai Matras dengan konsep Waterfront City, dan terdapat beberapa strategi pengembangan yang telah dirumuskan.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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".