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Record W4387585317 · doi:10.31942/jafin.v2i1.8277

AKUNTABILITAS DAN TRANSPARANSI PENGELOLAAN DANA DESA PADA MASA PANDEMI COVID-19

2023· article· id· W4387585317 on OpenAlexaff
Atieq Amjadallah Alfie, Nur Fatchiyah Surya Ningrum, Agus Triyani

Bibliographic record

VenueJournal of Accounting and Finance · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Akuntabilitas merupakan bentuk pertanggungjawaban pemerintah dalam rangka melaporkan dan mempresentasikan kepada masyarakat atas tindakan yang telah dilaksanakan. Pertanggungjawaban ditegakkan supaya pemerintah transparan tentang komitmen yang dibuat dalam pelaksanaannya. Pemerintah desa Kerso kecamatan Kedung kabupaten Jepara memegang prinsip akuntabilitas dan transparansi. Tujuan penelitian ini yaitu untuk menilai akuntabilitas dan transparansi pengelolaan Dana Desa pada masa pandemi Covid-19 di desa Kerso, kecamatan Kedung, kabupaten Jepara dalam urutan prioritas penggunaan tahun anggaran 2021. Pendekatan yang peneliti gunakan dalam penelitian adalah pendekatan kualitatif berbasis studi kasus di lapangan dengan teknik pengumpulan data berbentuk wawancara terstruktur. Wawancara dilakukan dengan pemerintah desa, BPD dan tokoh masyarakat desa Kerso dengan jumlah 6 (enam) informan. Penelitian menunjukkan pengelolaan Dana Desa (DD) yang dilaksanakan pemerintah desa Kerso sudah sesuai pada ketentuan dari undang-undang dan peraturan yang ditetapkan. Prinsip transparansi dilaksanakan pemerintah desa Kerso menerapkan informasi berbasis  digital, banner publikasi dan papan informasi yang dipasang di Balai Desa.Kata kunci: Akuntabilitas, Covid-19, Dana Desa, Transparansi

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.303
Teacher spread0.270 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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