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Record W3119977709 · doi:10.36587/wasananyata.v2i2.361

Pembentukan Koperasi Di Desa Luwang, Kecamatan Gatak, Kabupaten Sukoharjo

2018· article· id· W3119977709 on OpenAlexaff
Lilis Sulistyani, Ifah Lathifah, Shandy Marsono

Bibliographic record

VenueWASANA NYATA · 2018
Typearticle
Languageid
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Pengabdian ini bertujuan untuk memberikan pendampingan bagi warga Di Desa Luwang, Kecamatan Gatak, Kabupaten Sukoharjo berkaitan dengan pembentukan koperasi yang berbadan hukum. Kegiatan pendampingan pembentukan koperasi dilakukan dengan cara presentasi, diskusi dan simulasi. Sasaran dari kegiatan Pengabdian Kepada Masyarakat ini adalah warga atau masyarakat dan pengurus koperasi di Desa Luwang, Kecamatan Gatak, Kabupaten Sukoharjo. Solusi yang ditawarkan adalah warga masyarakat memahami fungsi dan peranan koperasi dalam menopang perekonomian masyarakat. Masyarakat utamanya pengurus koperasi mengetahui dan memahami cara mendirikan koperasi yang berbadan hukum, serta memahami keuntungan dan kerugian dari kegiatan koperasi. Tindak lanjut dari kegiatan ini yaitu akan dilakukan binaan dan pendampingan berkelanjutan, sehinga peserta pendampingan dapat menjalankan usaha perkoperasian yang sesuai dengan Anggaran Dasar dan Anggaran Rumah Tangga (ADRT) yang telah disepakati bersama oleh pengurus koperasi serta seluruh anggota koperasi. Kegiatan tindak lanjut berikutnya yang akan dilakukan oleh Tim PKM dari STIE-AUB- Surakarta yaitu akan memberikan pelatihan dan pendampingan tentang praktik akuntansi sederhana untuk koperasi sampai dengan penyusunan laporan keuangan koperasi.Kata Kunci : Koperasi, Asas Koperasi, Jenis Koperasi, Simpanan Koperasi.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0330.008

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 head0.040
GPT teacher head0.316
Teacher spread0.277 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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