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Record W3191235606 · doi:10.25047/j-dinamika.v7i1.2982

Pemberdayaan Masyarakat Dalam Pemanfaatan Limbah Rumah Tangga di Desa Kepuh Kecamatan Kertosono, Kabupaten Nganjuk

2022· article· id· W3191235606 on OpenAlexaff
Enny Istanti, Indah Noviandari

Bibliographic record

VenueJ-Dinamika Jurnal Pengabdian Masyarakat · 2022
Typearticle
Languageid
FieldEnvironmental Science
TopicWaste Management and Recycling
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstrak
 Desa Kepuh merupakan desa yang menjadi bagian dari wilayah Kecamatan Kertosono, Kabupaten Nganjuk. Sampah adalah bagian dari bahan sisa makanan yang terkadang sering dianggap tidak dibutuhkan karena tidak mempunyai manfaat yang dapat menyebabkan pencemaran lingkungan dan menimbulkan aroma yang tidak sedap. Tujuan dari program pengabdian masyarakat ini adalah memberikan edukasi kepada masyarakat desa Kepuh akan bahaya membuang sampah sembarangan dan manfaat dari pengolahan limbah sampah. Metode yang digunakan adalah kualitatif dengan cara memberikan sosialisasi dan bimbingan kepada warga Desa Kepuh. Populasi adalah seluruh warga yang berada di RW. 01 dan Ibu-ibu pkk merupakan sample dari kegiatan ini. Hasilnya, selain memberikan manfaat ekonomi, pengolahan sampah organik menjadi produk bernilai guna juga memberikan dampak sosial dan lingkungan berupa adanya pengetahuan dan pengalaman baru. Kesimpulan adalah [1] sampah memberikan dampak negatif jika dibiarkan, [2] Sampah akan berdampak positif jika diolah dengan baik, [3] Pengolahan sampah dilakukan dengan teknologi tepat guna, [4] Adanya komitmen bersama dari seluruh elemen masyarakar, [5] Memberikan manfaat ekonomi.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0060.001
Scholarly communication0.0010.002
Open science0.0050.006
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0190.005

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 head0.013
GPT teacher head0.216
Teacher spread0.204 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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