Kajian Dampak Proses Pengolahan Air di IPA Siwalanpanji Terhadap Lingkungan dengan Menggunakan Metode Life Cycle Assessment (LCA)
Bibliographic record
Abstract
Proses pengolahan air minum secara konvensional dapat menyebabkan dampak lingkungan akibat konsumsi energi dan pemakaian bahan kimia. Penelitian ini mengidentifikasi dampak pencemaran yang dihasilkan dari proses pengolahan air di IPA Siwalanpanji menggunakan life cycle assessment. Life Cycle Assessment (LCA) merupakan metode untuk menganalisis dampak suatu produk terhadap lingkungan sepanjang siklus hidupnya. Siklus hidup dari suatu produk terdiri dari ekstraksi bahan baku, proses produksi hingga proses pembuangan akhir. Dari hasil analisis LCA, menggunakan software Simapro 7.33 dampak pencemaran yang terjadi berupa pencemaran udara yang disebabkan oleh penggunaan klorin, polyaluminium chloride (PAC) dan konsumsi listrik. Dampak pencemaran terbesar terjadi pada penggunaan listrik dalam pemakaian satu hari yaitu menyebabkan respiratory inorganics sebesar 0,748 kg PM2.5, ozone layer depletion sebesar 0,000295 kg CFC-11 dan global warming sebesar 1000 kg CO2. Solusi untuk mengurangi dampak lingkungan yang dapat dilakukan instalasi pengolahan air adalah dengan cara peningkatan efesiensi peralatan.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".