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Record W4312459948 · doi:10.20527/jernih.v5i1.1422

PERENCANAAN BANK SAMPAH DI DESA SUNGAI SIPAI KABUPATEN BANJAR

2022· article· id· W4312459948 on OpenAlex
Nadiar Iswanto, Muhammad Firmansyah

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJernih Jurnal Tugas Akhir Mahasiswa · 2022
Typearticle
Languageid
FieldEnvironmental Science
TopicWaste Management and Recycling
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsForestryGeography

Abstract

fetched live from OpenAlex

Bank Sampah merupakan satu upaya dalam memanfaatkan potensi timbulan sampah yang bernilai ekonomi di Desa Sungai Sipai, Kabupaten Banjar. Bank sampah dinilai merupakan fasilitas pengelolaan sampah dengan konsep 3R yang efektif menyelesaikan masalah persampahan. Penelitian ini dilakukan untuk mengindentifikasi potensi timbulan sampah yang bernilai ekonomi dan merencanakan bank sampah di Desa Sungai Sipai. Diketahuinya potensi timbulan sampah yang ada di Desa Sungai Sipai, khususnya sampah yang memiliki nilai ekonomi. Desa Sungai Sipai memiliki potensi timbulan sampah yang bernilai ekonomi sebesar 1.704,7 kg/hari dengan nilai ekonomi mencapai Rp 1.474.774/hari. Hal tersebut menunjukan perlu adanya pengelolaan sampah yang bernilai ekonomi di Desa Sungai Sipai melalui perencanaan bank sampah. Perencanaan Bank Sampah yang dilakukan di Desa Sungai Sipai meliputi pengelolaan sampah, fasilitas bank sampah dan tata kelola bank sampah. Selain itu disertakan pula rancangan bangunan bank sampah dan rencana anggaran biaya perencanaan bank sampah sebagai upaya realisasi perencanaan ini.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0330.003

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.

Opus teacher head0.019
GPT teacher head0.228
Teacher spread0.209 · 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