KAJIAN TIPOLOGI RUANG TERBUKA HIJAU KAMPUS UNDIP DI TEMBALANG BERDASARKAN INDEKS HIJAU BIRU INDONESIA (IHBI) SEBAGAI UPAYA MEWUJUDKAN SUSTAINABLE CAMPUS
Bibliographic record
Abstract
Institusi pendidikan tinggi berperan dalam meningkatkan aspek keberlanjutan, salah satunya adalah lingkungan. Universitas Diponegoro (UNDIP) sebagai salah satu perguruan tinggi di Kota Semarang telah menerapkan konsep Green and Sustainable dalam pengembangan kampusnya. UNDIP saat ini memiliki kepadatan bangunan mencapai 48% dari luas kawasan, sehingga penyediaan RTH sangat penting untuk menjamin peningkatan ekologis kawasan Undip. Tujuan dalam penelitian ini adalah untuk menganalisis tipologi RTH di Kampus Undip Tembalang menggunakan tipologi RTH dengan pendekatan Indeks Hijau Biru Indonesia (IHBI) menurut Peraturan Menteri ATR/BPN nomor 14/2022, serta menggunakan analisis Sistem Informasi Geografis (SIG). Hasil dalam penelitian ini menunjukkan bahwa luas RTH dengan pendekatan IHBI adalah 99,67 hektar atau mencapai 66,81% dari luas kawasan. Luasan RTH terbesar adalah hutan kampus yaitu sebesar 43,86 hektar atau 44% dari luas RTH. Selain itu RTH publik di kawasan kampus saat ini hanya 16,77 hektar atau 16% sehingga perlu adanya peningkatan RTH Publik di Kawasan Kampus.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".