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Record W4306254374 · doi:10.25157/ag.v4i2.7690

PELATIHAN MANAJEMEN KEUANGAN SAAT PANDEMI COVID-19 BAGI PESERTA OPOP (ONE PESANTREN ONE PRODUCT) DI KABUPATEN CIAMIS

2022· article· id· W4306254374 on OpenAlexaff
Nina Herlina, Endah Puspitasari, Muhammad Zaki Rahman

Bibliographic record

VenueAbdimas Galuh · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Pandemi Covid 19 sangat berpengaruh terhadap sektor UMKM yang mana terkena imbasnya walaupun masih bisa bertahan dibandingkan dengan skctor yang lain. Banyak UMKM di Ciamis, salah satunya adalah UMKM peserta OPOP ( One Pesantren One Product ). Program OPOP digalakan oleh pemerintah propinsi Jawa Barat mulai tahun 2019 yang bertujuan untuk mengangkat berbagai produk yang tersebar di berbagai pesantren. Program OPOP ini bertujuan meningkatkan perekonomian pesantren maupun masyarakat di lingkungan pesantren. Manajemen keuangan yang berjalan dengan baik dapat mengetahui apakah rencana usahanya tercapai atau tidak serta membantu mencari tahu penyebabnya. Begitu juga dengan aspek permodalan, dengan memiliki administrasi keuangan yang tertib akan memudahkan UMKM dalam pengajuan pinjaman modal kepada pihak bank atau lembaga keuangan lainnya, sehingga perlu diadakan pelatihan manajemen keuangan bagi para peserta OPOP. Dengan diadakannya pelatihan manajemen keuangan tersebut diharapkan akan mampu memberikan bekal pengetahuan yang memadai, dan selanjutnya dapat diimplementasikan ke dalam usaha nyata sehingga pada akhirnya mampu membantu pengembangan UMKM untuk mewujudkan ekonomi Indonesia yang lebih kuat di masa mendatang.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.062
GPT teacher head0.312
Teacher spread0.250 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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