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Record W4389338660 · doi:10.37695/pkmcsr.v6i0.1872

PENINGKATAN KOMPETENSI EMKM DAN BUMDES: PELATIHAN DAN PENDAMPINGAN AKUNTANSI KEUANGAN DI WILAYAH CIGANITRI, KABUPATEN BANDUNG

2023· article· id· W4389338660 on OpenAlexaff
Koenta Adji Koerniawan, Dewa Putra Krishna Mahardika, Ali Riza Fahlevi

Bibliographic record

VenueProsiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsMathematicsArt

Abstract

fetched live from OpenAlex

Fakta empiris yang terjadi saat ini, pengusaha EMKM dan BUMDES di wilayah Ciganitri, tidak memahami apa dan bagaimana laporan keuangan disajikan sesuai standar. Implikasinya, mereka tidak dapat menyajikan laporan keuangan, sehingga posisi keuangan usaha tidak dapat ditentukan secara akurat, akibatnya penilaian kinerja keuangan gagal dilakukan, pelaporan pajak tidak dapat ditentukan secara tepat. Peningkatan kompetensi di bidang akuntansi keuangan melalui pelatihan dan pendampingan menjadi solusi yang mendesak dilakukan. Kegiatan ini diikuti oleh 25 orang peserta dari berbagai unit usaha EMKM dan BUMDES. Tujuan dari abdimas ini adalah untuk membantu entitas EMKM dan BUMDES memahami keuangan dasar dan mengenalkan penggunaan aplikasi akuntansi si Apik dan SIABDES untuk penyusunan laporan keuangan sesuai standar akuntansi keuangan (SAK) EMKM. Metode yang digunakan dalam Abdimas meliputi, identifikasi masalah, survei lapangan, pelatihan, pendampingan pasca pelatihan, serta asesmen, guna mengukur pencapaian hasil abdimas. Hasil yang diperoleh menunjukkan peningkatan pemahaman peserta Abdimas. Mereka mulai tertarik menerapkan aplikasi akuntansi si Apik atau SIABDES untuk tujuan penyajian laporan keuangan sesuai standar, sehingga kewajiban mereka dalam mewujudkan transparansi dan akuntabilitas dapat dibantu diwujudkan.

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)0.014
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.017
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.009
Science and technology studies0.0100.003
Scholarly communication0.0040.003
Open science0.0030.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0000.001

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 head0.090
GPT teacher head0.303
Teacher spread0.213 · 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

Citations1
Published2023
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