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Record W4214820943 · doi:10.29303/jpmpi.v5i1.1446

Pemberdayaan Masyarakat Desa Mujur Kecamatan Praya Timur Melalui Pemanfaatan dan Pelatihan dalam Mengolah Sampah Plastik Menjadi Kerajinan Tangan

2022· article· id· W4214820943 on OpenAlex
M. Hasan Murdani, Nadilla Yasmiadi, Yuliatin Yuliatin, Dadi Setiadi

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

VenueJurnal Pengabdian Magister Pendidikan IPA · 2022
Typearticle
Languageid
FieldEnvironmental Science
TopicWaste Management and Recycling
Canadian institutionsImmunoPrecise (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Sampah di Desa Mujur merupakan salah satu masalah yang belum terselesaikan hingga saat ini. Kurangnya kesadaran masyarakat tentang pengelolaan sampah mengakibatkan pencemaran dan kerusakan lingkungan, khususnya pada pengolahan limbah sampah plastik. Untuk itu pentingnya pengadaan penyuluhan pemanfaatan limbah sampah dan pelatihan pembuatan kerajinan tangan dengan menggunakan sampah plastik. KKN Terpadu Unram mengusung program pemanfaatan daur ulang sampah plastik agar dapat digunakan kembali atau diolah menjadi barang yang bermanfaat bagi lingkungan sekitar. Tujuan dari program ini adalah memberdayakan masyarakat Desa Mujur dalam pengolahan sampah menjadi kerajinan tangan menggunakan sampah plastik. Metode yang digunakan berupa pelatihan yang lebih berbasis pada praktik langsung, sosialisasi dan pembimbingan yang sifatnya monitoring. Hasil menunjukan bahwakegiatan tersebut dapat mengurangi limbah plastik dan juga dapat mengasah kreativitas masyarakat Desa Mujur saat mengisi waktu luang dirumah.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0020.002
Open science0.0040.005
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0260.004

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.

Opus teacher head0.014
GPT teacher head0.225
Teacher spread0.211 · 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