Identifikasi Gap antara Kapasitas Parkir dan Kebutuhan Parkir di Kampus Satu Universitas Islam Bandung dengan Metode Supply and Demand
Bibliographic record
Abstract
Abstract. Parking at the Islamic University of Bandung (Unisba) remains a complex problem even though the number of campus buildings has increased from six to nine. Unisba's Campus 1, which consists of nine buildings including FMIPA, Postgraduate, Foundation, LPPM, Medicine, Rectorate, Tamansari 1, Dean, and Unisba Pension, is still unable to meet the parking needs for two-wheeled and four-wheeled vehicles. The increase in the number of students carrying vehicles, especially two-wheelers, has led to a shortage of parking facilities. Parking congestion also often occurs during graduation events and milad celebrations. This research aims to identify the gap between the needs and parking capacity at Campus 1 of the Islamic University of Bandung. The method used is a quantitative approach with supply-demand analysis based on existing formulas and standards. The results of the study show that the total parking capacity is currently 2,030 Parking Space Units (SRP) with a land area of 6,295 m², while the total need reaches 2,234 SRP with a land area of 6,931 m². There are gaps of 204 SRP with a land area of 636 m². This gap consists of 171 SRP for two-wheeled vehicles and 33 SRP for four-wheeled vehicles. This research underlines the need for better planning and development of parking facilities at Unisba Campus 1 to overcome the existing shortcomings. Abstrak. Parkir di Universitas Islam Bandung (Unisba) tetap menjadi masalah kompleks meskipun jumlah gedung kampus telah meningkat dari enam menjadi sembilan. Kampus 1 Unisba, yang terdiri dari sembilan gedung termasuk FMIPA, Pascasarjana, Yayasan, LPPM, Kedokteran, Rektorat, Tamansari 1, Dekanat, dan Pensiun Unisba, masih belum mampu memenuhi kebutuhan parkir untuk kendaraan roda dua dan roda empat. Peningkatan jumlah mahasiswa yang membawa kendaraan, terutama roda dua, menyebabkan kekurangan fasilitas parkir. Kepadatan parkir juga sering terjadi selama acara wisuda dan perayaan milad. Penelitian ini bertujuan mengidentifikasi gap antara kebutuhan dan kapasitas parkir di Kampus 1 Universitas Islam Bandung. Metode yang digunakan adalah pendekatan kuantitatif dengan analisis supply-demand berdasarkan rumus dan standar yang ada. Hasil penelitian menunjukkan bahwa total kapasitas parkir saat ini sebesar 2.030 Satuan Ruang Parkir (SRP) dengan luas lahan 6.295 m², sedangkan total kebutuhan mencapai 2.234 SRP dengan luas lahan 6.931 m². Terdapat gap sebanyak 204 SRP dengan luas lahan sebesar 636 m². Gap ini terdiri dari 171 SRP untuk kendaraan roda dua dan 33 SRP untuk kendaraan roda empat. Penelitian ini menggarisbawahi perlunya perencanaan dan pengembangan fasilitas parkir yang lebih baik di Kampus 1 Unisba untuk mengatasi kekurangan yang ada.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".