Kajian Timbulan dan Komposisi Sampah di Kampus Institut Teknologi Nasional Bandung (Itenas)
Bibliographic record
Abstract
ABSTRACT Educational institutions are places to conduct research and innovation to improve the quality of an independent environment. This study aims to determine the amount of waste generation and composition of institutions, especially the Bandung National Institute of Technology (Itenas). The sampling method is based on SNI 19-3964-1994 by measuring the production and composition of waste for eight consecutive days. The study results obtained an average generation of Itenas waste of 0.015 kg/m2/day or 0.156 kg/person/day in units of weight and 0.242 liters/m2/day or 2.446 liters/person/day in units of volume. The composition of Itenas waste is dominated by organic waste by 50.78%, which consists of food scraps and leaves, while other waste compositions include 14.09% plastic; 4.54% cardboard; 2.33% paper; 1.93% fabric; 1.21% glass; 0.08% cans; 0.03% metal; and 24.99% residue or other waste. The highest activities that produce organic waste in Itenas are canteen activities, while the Student Center (SC) activities make the highest amount of recyclable waste. Keywords: institutional solid waste, solid waste generation, waste composition, Bandung National Institution of Technology (Itenas) ABSTRAK Institusi pendidikan adalah tempat untuk melakukan penelitian dan inovasi untuk meningkatkan kualitas lingkungan yang mandiri. Penelitian ini bertujuan untuk menentukan besaran timbulan dan komposisi sampah dari institusi khususnya Institut Teknologi Nasional Bandung (Itenas). Metode sampling yang dilakukan berdasarkan SNI 19-3964-1994 dengan cara melakukan pengukuran timbulan dan komposisi sampah selama 8 hari berturut-turut. Berdasarkan hasil penelitian diperoleh rata-rata timbulan sampah Itenas sebesar 0,015 kg/m2/hari atau 0,156 kg/orang/hari dalam satuan berat dan 0,242 liter/m2/hari atau 2,446 liter/orang/hari dalam satuan volume. Komposisi sampah Itenas didominasi oleh sampah organik sebesar 50,78% yang terdiri dari sisa makanan dan dedaunan, sedangkan komposisi sampah lainnya antara lain 14,09% plastik; 4,54% kardus; 2,33% kertas; 1,93% kain; 1,21% kaca; 0,08% kaleng; 0,03% logam; dan 24,99% residu atau sampah lainnya. Kegiatan yang paling tinggi menghasilkan sampah organik di Itenas adalah kegiatan kantin sedangkan kegiatan Student Center (SC) menghasilkan sampah daur ulang yang paling tinggi. Kata kunci: sampah institusi, timbulan sampah, komposisi sampah, Institut Teknologi Nasional Bandung (Itenas)
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".