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Record W4413183142 · doi:10.31004/jerkin.v4i1.2160

Pembuatan Sabun Cuci Piring Ecobubbles di Kelurahan Kramat Jati

2025· article· en· W4413183142 on OpenAlex
Vinda Cahya, Rachma Ikmaliya, Rahma Dania Larasaty, Rizky Yulia Nuraini, Sari Ayu, Shafaersa Saefullah, Siti Rahmaniyanti, Via Erista Nurjannah, Wardatul Ajwa, Wirdatul Laila Rohmah, Yansasni, Mayarni

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 Masyarakat dan Riset Pendidikan · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWaste Management and Recycling
Canadian institutionsVancouver Infectious Diseases Centre
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Household chemical pollution is a global concern, and one solution is producing eco-friendly dishwashing soap. This community engagement activity aimed to empower women of the PKK RW 02, Kramat Jati, East Jakarta, through training on making “Eco Bubbles” soap using simple ingredients: texapon, salt, and water. A participatory and demonstrative method was applied through initial observation, hands-on training, and evaluation via pre- and post-tests. Results showed 92% of participants understood the soap-making process, and 78% could perform it independently. The program also boosted participants’ confidence and encouraged household entrepreneurship. Success factors included high enthusiasm, strong teamwork, locally available materials, and community support, despite challenges like limited training time and low digital literacy. In conclusion, the activity effectively built new skills and created opportunities for sustainable micro-enterprises, with potential for replication in other areas to support eco-friendly households.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.007
GPT teacher head0.236
Teacher spread0.228 · 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