Kajian Kebutuhan Perlengkapan Jalan Penunjang Sektor Pariwisata Ruas Trowulan-Pacet Kabupaten Mojokerto
Bibliographic record
Abstract
Kawasan pariwisata merupakan salah satu sektor yang berkembang pesat di Kabupaten Mojokerto, sehingga diperlukan peningkatan kualitas infrastruktur penunjang, khususnya di sektor keselamatan transportasi. Tingginya volume pergerakan yang diakibatkan oleh daya tarik pariwisata berpotensi menimbulkan risiko keamanan dan gangguan kenyamanan bagi pengguna jalan, termasuk pengguna fasilitas di sekitar jalan. Salah satu upaya yang dilakukan untuk menekan risiko keselamatan dan menjaga kelancaran pergerakan lalulintas adalah dengan menyediakan perlengkapan jalan yang memadai. Kajian ini bertujuan untuk mengetahui kebutuhan perlengkapan jalan pada ruas jalan utama yang menghubungkan titik-titik pariwisata terbanyak di Kabupaten Mojokerto, meliputi wilayah administrasi Kecamatan Trowulan, Kecamatan Jatirejo, Kecamatan Gondang, dan Kecamatan Pacet. Penentuan kebutuhan perlengkapan jalan didasarkan pada evaluasi beberapa kondisi, seperti kondisi perlengkapan jalan yang ada, fungsi jalan, penggunaan lahan mikro, persimpangan jalan, perubahan geometri jalan baik vertikal maupun horizontal, bahaya fisik alam, serta lokasi kecelakaan atau blackspot. Hasil penelitian menunjukkan perlunya penyelenggaraan perlengkapan jalan yang meliputi kegiatan penempatan, penggantian, pengadaan baru, pemeliharaan, dan/atau penghapusan
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.010 |
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".