Bus Sekolah sebagai Pilihan Moda Transportasi di Kota Bandung dari Sisi Preferensi Pelajar sebagai Pengguna (Hal. 1-11)
Bibliographic record
Abstract
ABSTRAKPertumbuhan penduduk perkotaan yang tinggi dan masyarakat yang konsumtif terhadap penggunaan kendaraan bermotor menjadi faktor timbulnya permasalahan transportasi perkotaan salah satunya adalah kemacetan. Di Kota Bandung secara khusus salah satu penyebab timbulnya kemacetan di beberapa titik adalah tingginya jam operasional kendaraan pada pagi hari khususnya pada kendaraan pribadi. Para pelajar SD, SMP, dan SMA yang berangkat pagi hari dan sore hari ke sekolah banyak yang menggunakan kendaraan pribadi yang disebabkan oleh banyak hal, diantaranya kurang memadainya fasilitas angkutan umum saat ini. Sebagai salah satu upaya mengatasi kemacetan yang disebabkan oleh kendaraan pribadi yang digunakan oleh para pelajar tersebut, pihak Pemerintah Kota Bandung meluncurkan bus sekolah gratis bagi para pelajar. Pada penelitian ini teknik pengumpulan data yang digunakan adalah melalui teknik survey primer dengan menyebarkan kuesioner kepada siswa/i tingkat SD, SMP, SMA di Kota Bandung dengan Penentuan sampel berdasarkan metode Slovin. Data-data yang digunakan pada penelitian ini yaitu data primer yang merupakan hasil penyebaran kuesioner serta data sekunder yang diperoleh dari studi literatur atau penelitian serupa yang pernah dilakukan sebelumnya. Metode analisis yang digunakan pada penelitian ini adalah deskriptif kuantitatif serta Cross Tab (Tabulasi Silang).Kata kunci: bus sekolah, kemacetan, pelajar ABSTRACTThe high urban population growth and the consumptive society towards the use of motorized vehicles is a factor in the emergence of urban transportation problems, one of which is congestion. In the city of Bandung specifically one of the causes of congestion at some point is the high operating hours of vehicles in the morning, especially in private vehicles. Elementary, junior and senior high school students who leave in the morning and evening go to school many use private vehicles caused by many things, including inadequate public transport facilities at present. As one of the efforts to overcome congestion caused by private vehicles used by the students, the Bandung City Government launched a free school bus for students. In this study the data collection techniques used were through primary survey techniques by distributing questionnaires to students at the elementary, middle and high school level in the city of Bandung with sample determination based on Slovin method. The data used in this study are primary data which is the result of questionnaires and secondary data obtained from literature studies or similar studies that have been conducted before. The analytical method used in this study is quantitative descriptive and Cross Tabulation.Keywords: school bus, congestion, students
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 0.014 |
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".