Potensi Penerapan Konsep Green Campus pada Atribut Green Open Space di Institut Teknologi Nasional (Itenas) Bandung
Bibliographic record
Abstract
ABSTRAKInstitut Teknologi Nasional (Itenas) merupakan salah satu perguruan tinggi yang memiliki visi untuk ikut berperan aktif dalam pembangunan berkelanjutan di lingkup nasional dan global. Pusat Studi Sumber Daya Alam dan Lingkungan (PUSDAL) Itenas menyatakan bahwa Itenas dianggap belum mampu merespon tantangan lingkungan saat ini, belum ada integrasi antara pusat studi dengan berbagai lumbung pengetahuan yang ada di jurusan, serta diperlukan perubahan institusi menuju arah pengembangan hijau. Oleh karena itu, perlu dilakukan penerapan konsep green campus dimulai dari atribut green open space menurut Program Pengembangan Kota Hijau (P2KH) oleh Kementerian Pekerjaan Umum (2017) yang peneliti anggap memiliki peranan penting dan krusial di dalam lingkungan kampus. Penelitian ini bertujuan untuk mengetahui potensi penerapan konsep green campus pada atribut green open space di Institut Teknologi Nasional (Itenas) Bandung. Pengumpulan data dilakukan melalui observasi langsung, penyebaran kuesioner, dan wawancara, sedangkan metode analisis yang digunakan adalah distribusi frekuensi, scoring, dan komparatif, juga Metode Gerarkis dan UI GreenMetric World University Rankings 2018. Hasil dari penelitian menunjukkan bahwa Itenas memiliki beberapa lokasi potensial ruang terbuka hijau, serta civitas akademika Itenas memiliki pengetahuan dan kepedulian yang tinggi, serta peran aktif yang sangat tinggi terhadap atribut green open space.Kata Kunci: Green Campus, Green Open Space ABSTRACTThe National Institute of Technology (Itenas) is one of the universities that has a vision to contibute in sustainable development in the national and global scope. The Center of Study for Natural Resources and Environment (PUSDAL) stated that Itenas was unable to respond to current environmental challenges, there was no integration between study centers with various knowledge in the department, and institutional changes needed towards green development direction. Therefore, it is necessary to implement the green campus concept starting from attributes of green open space according to the Green City Development Program (P2KH) by Ministry of Public Works (2017) which researchers consider to have an important and crucial role in the campus environment. This study aims to determine the potential application of the green campus concept to the attributes of green open space in National Institute of Technology (Itenas) Bandung. Data collection is done through direct observation, questionnaires, and interviews, while the analytical methods used are frequency distribution, scoring, and comparative, also the Gerarkis Method and the UI GreenMetric World University Rankings 2018. The results of the study show that Itenas has several potential locations for green open space and the academic community of Itenas have high knowledge and concern, and a very high contibution on the attributes of green open space.Keywords:Green Campus, Green Open Space
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.079 | 0.013 |
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".