Model Bangkitan Perjalanan Kota Lhokseumawe
Bibliographic record
Abstract
Kota Lhokseumawe merupakan salah satu Pusat Kegiatan Strategis Nasional (PKSN) di wilayah Aceh. PKSN ini berfungsi untuk melayani arus orang, barang, dan jasa dari luar ke dalam Kota Lhokseumawe ataupun sebaliknya baik dalam lingkup domestik maupun internasional. Kawasan perkotaan yang membentuk PKSN Lhokseumawe terdiri atas empat kecamatan di Kota Lhokseumawe, yaitu Kecamatan Banda Sakti, Kecamatan Blang Mangat, Kecamatan Muara Satu dan Kecamatan Muara Dua. Penelitian ini bertujuan untuk mengetahui variabel-variabel yang mempengaruhi Bangkitan di wilayah PKSN Kota Lhokseumawe sehingga didapatkan model yang dapat menjelaskan besarnya Bangkitan Perjalanan di wilayah PKSN Lhokseumawe. Penelitian ini dilakukan dengan cara cara menyebarkan kuesioner kepada 300 kepala keluarga (household interview) di kawasan PKSN Kota Lhokseumawe. Hasil survei household interview diolah dengan analisis regresi linier. Berdasarkan hasil pengujian regresi didapatkan model terbaik yaitu Y= 1,173 + 0,704 X1– 0,417 X5 + 1,702 X6 + 1,361 X7, dengan nilai determinasi (R2) sebesar 0,79. Berdasarkan model tersebut dapat diketahui bangkitan perjalanan pada Pusat Kegiatan Strategis Nasional (PKSN) Kota Lhokseumawe sebesar 79,0% ditentukan oleh pendapatan (X1), jumlah anggota keluarga (X5), jumlah anggota keluarga yang bersekolah (X6) dan jumlah anggota keluarga yang bekerja (X7).
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 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".