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Record W4399775781 · doi:10.33474/jp2m.v5i2.21587

Legalitas usaha kelompok wanita tani

2024· article· id· W4399775781 on OpenAlexaff
Dita Yuzianah, Isnaeni Maryam, Zulfanita, Eko Harianto

Bibliographic record

VenueJurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) · 2024
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicLivestock Farming and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Pemanfaatan hasil kebun untuk berwirausaha adalah salah satu upaya untuk meningkatkan ekonomi. Disatu sisi mereka ingin mengembangkan usahanya di sisi lain mereka terkendala dari segi legalitas usaha, karena syarat usaha bisa masuk ke minimarket dan supermarket adalah adanya legalitas usaha, sedangkan warga desa semangung masih minim informasi tentang legalitas usaha. Sehingga sementara ini produk dari desa semangun hanya dipasarkan di daerah sekitar karena sebagian besar produk belum memiliki legalitas usaha seperti pirt dan halal. Karena itu tujuan dari diadakanya pengabdian ini diantaranya: mengenalkan berbagai macam legalitas usaha dan mendampingi pelaku usaha di desa semangung untuk mengurus legalitas usaha. Metode pengabdian yaitu mengunakan metode PAR (Participatory Action Research). Dengan tahap pelaksanaan: tahap to know yaitu mengetahui kondisi riel komunitas, tahap to Understand (Memahami Problem Komunitas), tahap to Plann (Merencanakan Pemecahan Masalah Komunitas), tahap to Act (Melakukan Program Aksi Pemecahan Masalah), tahap to Change (Membangun Kesadaran untuk perubahan dan keberlanjutan). Kegiatan ini memberikan dampak yang signifikan yaitu dari 90% pelaku usaha yang belum memiliki legalitas usaha mendapatkan legalitas usaha dari NIB, PIRT dan juga legalitas halal. Tentunya setelah mendapatkan legalitas usaha produk masyarakat desa Semangung semakin biasa dipasarkan secara luas seperti minimarket dan juga supermarket atau di pusat oleh-oleh dan memiliki kekuatan hukum. Kedepanya kami akan mendampingi dari segi pemasaran dan juga memaksimalkan produk pertanian menjadi suatu produk.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
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 studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.010

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 head0.020
GPT teacher head0.248
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

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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