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Record W4388463688 · doi:10.29303/wicara.v1i4.3392

PEMBUATAN ECOBRICK DARI SAMPAH PLASTIK MENJADI BARANG YANG BERMANFAAT

2023· article· id· W4388463688 on OpenAlexaff
Heri Sulistiyono, Adeyong Wira Putra, Baiq Nabila Taufik, Bintang Dwi Nur Khakiki, Dwiana Aulya Rahmatun, Fadillah Rabbiatul Utami, Nita Agustini Rahayu, Nofi Ramdani, Putri Rahayu Wilujeng, Rizal Hadi Frasitio, Wiwin Akarena Triyani

Bibliographic record

VenueJurnal Wicara Desa · 2023
Typearticle
Languageid
FieldEnvironmental Science
TopicWaste Management and Recycling
Canadian institutionsBarrick Gold (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Desa Batujai merupakan salah satu desa yang ada di Kecamatan Praya Barat Kabupaten Lombok Tengah. Desa ini memiliki penduduk yang cukup padat, dengan penduduk yang banyak ini tentunya membuat volume sampah semakin meningkat. Oleh karena hal itu, yang mendasari mahasiswa KKN PMD Desa Batujai Universitas Mataram tahun 2023 untuk membuat produk berupa ecobrick dengan melakukan daur ulang sampah 3R (Reduce, Reuse, Recycle). Melalui program kerja yang diupayakan telah berhasil menekan volume sampah yang dibuang masyarakat ke TPS, sesuai dengan tujuan dilaksanakannya kegiatan ini yaitu mengurangi volume sampah dengan mengubah sampah plastik menjadi barang yang lebih bermanfaat.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.006

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 head0.018
GPT teacher head0.243
Teacher spread0.225 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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