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Record W4411523152 · doi:10.53276/dedikasi.v4i1.242

DAGUSIBU untuk Desa Sehat: Edukasi Pengelolaan Obat yang Benar bagi Karang Taruna

2025· article· id· W4411523152 on OpenAlexaff
Najuah Najuah, ⁠Leni Nurlinayanti, Mudita Mudita, Refranisa Refranisa, Lucky Nugroho, Adhy Purnama, Yananto Mihadi Putra

Bibliographic record

VenueDedikasi Jurnal Pengabdian Kepada Masyarakat · 2025
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

Rendahnya tingkat pemahaman masyarakat terkait cara memperoleh, menggunakan, menyimpan, dan membuang obat secara benar menjadi tantangan serius dalam menjaga kesehatan dan kelestarian lingkungan. Kegiatan Pengabdian Kepada Masyarakat ini bertujuan meningkatkan literasi pengelolaan obat yang aman di kalangan Karang Taruna Desa Ciputri melalui pendekatan edukasi berbasis komunitas dengan mengedepankan prinsip DAGUSIBU (Dapatkan, Gunakan, Simpan, dan Buang). Program dilaksanakan melalui sosialisasi interaktif, simulasi, serta pendampingan yang didukung dengan media edukasi cetak dan digital. Hasil kegiatan menunjukkan adanya peningkatan signifikan pengetahuan dan keterampilan peserta, terbentuknya kader Duta Literasi Obat, serta meningkatnya kesadaran masyarakat terhadap pentingnya pengelolaan obat yang tepat. Rekomendasi utama mencakup pendampingan berkelanjutan, penguatan peran perpustakaan sebagai pusat edukasi, serta kolaborasi lintas sektor guna memperluas jangkauan dan dampak edukasi 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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.004
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 head0.014
GPT teacher head0.295
Teacher spread0.281 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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