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Record W4390147379 · doi:10.20527/jukung.v9i2.17578

ANALISIS KINERJA LINGKUNGAN PT. X TERHADAP PROGRAM PENILAIAN PERINGKAT KINERJA PERUSAHAAN (PROPER)

2023· article· id· W4390147379 on OpenAlexaff
Muhammad Firdaus Kamal, Arie Dipareza Syafei

Bibliographic record

VenueJukung (Jurnal Teknik Lingkungan) · 2023
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsBusiness

Abstract

fetched live from OpenAlex

PT. X merupakan perusahaan agrobisnis di Indonesia yang bergerak dalam bidang industri pakan ternak yang dalam aktivitas produksinya menghasilkan berbagai macam limbah yang berpotensi berdampak terhadap kualitas lingkungan. Tujuan penelitian ini yaitu melakukan analisis kinerja lingkungan berdasarkan Program Penilaian Peringkat Kinerja Perusahaan (PROPER). Metode penelitian yang diterapkan yaitu analisis deskriptif-kualitatif untuk menganalisis data mengenai pelaksanaan UKL-UPL dan penilaian PROPER di PT. X dengan fokus pada dokumen lingkungan, pengendalian pencemaran air, pengendalian pencemaran udara, dan pengelolaan Limbah B3. Kesimpulan penelitian ini adalah diperlukan pembaruan matriks UKL-UPL agar tolak ukur yang digunakan memenuhi peraturan perundang-undangan terbaru, terdapat aspek pengendalian pencemaran air dan pengendalian pencemaran udara yang belum memenuhi penilaian PROPER, dan mempertahankan konsistensi dalam pengelolaan Limbah B3, serta disarankan untuk melakukan kajian timbulan Limbah B3 guna mengantisipasi kapasitas TPS Limbah B3 dalam menampung limbah. Kata kunci: industri pakan ternak, kinerja lingkungan, program penilaian peringkat kinerja perusahaan

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.002

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.

Opus teacher head0.023
GPT teacher head0.265
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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