Jalur Kereta Api Parangtritis – Bandara Yogyakarta International Airport (YIA) sebagai Pendukung Mobilitas, Pariwisata, dan Angkutan Barang
Bibliographic record
Abstract
Sebagai salah satu perwujudan konsep “among tani dagang layar” pada pengembangan wilayah sisi selatan Bandara Daerah Istimewa Yogyakarta (DIY), Pemda DIY berencana mengembangkan jalur kereta api Parangtritis – Bandara Kulon Progo untuk mendukung mobilitas masyarakat, memajukan perekonomian, dan mendorong pengembangan pariwisata. Artikel ini bertujuan untuk melakukan kajian jalur kereta api Parangtritis – Bandara YIA sebagai pendukung mobilitas, pariwisata, dan angkutan barang. Kajian titik simpul multimoda dilakukan dengan mempertimbangkan Rencana Induk Perkeretaapian Provinsi 2017-2036, RTRW DIY Tahun 2019-2039, Rencana Induk Transportasi DIY, serta Rencana Strategis Dinas Perhubungan DIY. Sementara itu kajian aspek manajemen risiko mencakup identifikasi, analisis dan mitigasi risiko. Hasil analisis menunjukkan bahwa dengan tersedianya jalur kereta api Parangtritis – Bandara YIA serta implementasi simpul-simpul alih moda transportasi, wisatawan dapat menggunakan moda transportasi umum menuju ke berbagai kawasan pariwisata di Kabupaten Kulon Progo, Bantul, dan Gunungkidul tanpa perlu menggunakan kendaraan pribadi. Selain itu, dengan adanya jalur kereta api Parangtritis – Bandara YIA memungkinkan angkutan barang dari pertambangan, pertanian, dan perikanan di Kulon Progo dan Bantul diangkut menggunakan kereta api menuju berbagai kota lain. Namun, untuk mewujudkan jalur kereta api Parangtritis – Bandara YIA perlu dilakukan pengendalian risiko aspek lahan, fluktuasi finansial, dan tingkat keterisian penumpang, serta mitigasi terhadap risiko desain, konstruksi, dan keselamatan, kesehatan kerja, dan lingkungan.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".