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Record W4400696239 · doi:10.31949/jb.v5i1.7000

Penyuluhan Dan Pelatihan Pengolahan Rimpang Menjadi Jamu Instan Di Kelompok Wanita Tani Karya Agung

2024· article· id· W4400696239 on OpenAlex
Zulkarnain Zulkarnain, Maryati Maryati, M. Adie Syaputra

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

VenueBERNAS Jurnal Pengabdian Kepada Masyarakat · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicAgricultural and Environmental Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTraditional medicineHumanitiesArtMedicine

Abstract

fetched live from OpenAlex

Tanaman obat merupakan tanaman dengan memiliki khasiat yang dapat digunakan sebagai obat-obatan dalam pencegahan dan penyembuhan penyakit. Pasca Covid-19, masyarakat tetap mengkonsumsi obat-obat tradisional untuk menjaga kesehatan. Hal ini yang dimanfaatkan oleh KWT Karya Agung untuk tetap memproduksi jamu instan, dimana permintaan jamu instan yang terus meningkat. KWT Karya Agung memiliki kendala terkait dengan pembuatan produksi yang lebih baik dan peralatan yang digunakan masih sangat sederhana, oleh karena itu perlu pemberdayaan KWT Karya Agung supaya lebih maju lagi terutama dalam memproduksi jamu instan. Anggota KWT Karya Agung berjumlah 25 orang yang bertempat di jalan 9 dusun V RT/RW 005/002 Kampung Terbanggi Besar Kecamatan Terbanggi Besar Kabupaten Lampung Tengah. Pengabdian yang dilakukan menjadi 3 tahap yaitu Focus Group Discousion (FGD), Penyuluhan dan Pelatihan

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), Science and technology studies, Scholarly communication, 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.004

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 head0.016
GPT teacher head0.248
Teacher spread0.232 · 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