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Record W4376526068 · doi:10.37695/pkmcsr.v5i0.1716

PENDAMPINGAN PENGOLAHAN TAHU WALIK “ENAK DAN GURIH” DESA GODAN

2022· article· id· W4376526068 on OpenAlexaff
Syamsul Hadi, Adinda Khaerani, Dania Putri Ramadhani, Gideon Radinal, Hanifarif Rafi Rizaldy, Hasna Khairunnisa, Karina Anastasya Putri, Khafid Alfian Rosyadi, Ni’matus Sholikah, Syafa Putri Innasia

Bibliographic record

VenueProsiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsForestryArtGeography

Abstract

fetched live from OpenAlex

Perkembangan ekonomi di daerah-daerah di Indonesia telah mengalami perubahan, yang terutama disebabkan oleh pandemi Covid-19, salah satunya yaitu berdampak pada UMKM. Beberapa UMKM bahkan terpaksa harus berhenti karena produksi sudah tidak dapat dilakukan dan kegiatan jual beli yang terhambat pembatasan dari pemerintah. Oleh karena itu, pada saat ini, UMKM yang sebelumnya terkendala pandemi Covid-19 mulai berupaya untuk bangkit kembali. Desa Godan menjadi salah satu desa di Kabupaten Grobogan yang juga berupaya untuk meningkatkan perekonomian dengan menghidupkan kembali UMKM. Dengan ini, Tim KKN 358 UNS melakukan kegiatan pengabdian kepada masyarakat dengan melaksanakan program kerja utama yang bertajuk Pendampingan pengolahan tahu walik. Kegiatan ini dilakukan secara luring bersamaan dengan pelaksanaan PKK Bulanan di Desa Godan. Kegiatan ini berjalan dengan baik dan mendapat respon positif dari anggota PKK yang menghadiri kegiatan tersebut. Anggota PKK juga antusias untuk memproduksi tahu walik tersebut dalam skala rumahan. Kegiatan pendampingan pengolahan tahu walik ini sangat bermanfaat bagi masyarakat Desa Godan, terutama bagi masyarakat yang memiliki UMKM.

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)0.018
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.013
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.006
Science and technology studies0.0170.003
Scholarly communication0.0030.002
Open science0.0030.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.294
Teacher spread0.215 · 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 designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueProsiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR)Same topicSMEs Development and Digital MarketingFrench-language works237,207