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Record W3109715619 · doi:10.22225/ah.2.3.2505.378-382

Kedudukan Hukum Lembaga Perkreditan Desa (LPD) Dalam Sistem Lembaga Keuangan Mikro

2020· article· id· W3109715619 on OpenAlexaff
Kadek Bagas Piadnyan, I Nyoman Putu Budiartha, Desak Gede Dwi Arini

Bibliographic record

VenueJurnal Analogi Hukum · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Abstrak—Lembaga Perkreditan Desa (LPD) sebagi suatu organisasi yang berdiri khususnya untuk masyarakat Desa Pakraman yang sejahtera, Lembaga Perkreditan Desa tidakmemberikan pelayanan diluar dari wilayah Desa Pakraman tempat Lembaga Perkreditan Desa yang bersangkutan melakukan operasional. Pendirian Lembaga Perkreditan Desa sudah dilaksanakan serta keberadaannya diatur didalam Peraturan Daerah yaitu PERDA Provinsi Bali Nomor 8 Tahun 2002 mengenai LPD, yang saat ini sudah tergantikan jadi PERDA Provinsi Bali Nomor 3 Tahun 2017. Peraturan Daerah itu berisikan aturan tentang syarat–syarat mendirikan Lembaga Perkreditan Desa. Adapun rumusan masalahnya yaitu: 1) Bagaimana kedudukan hukum LPD didalam sistem Lembaga Keuangan Mikro? 2) Bagaimana peran LPD didalam sistem Lembaga Keuangan Mikro? Metode penelitian yang digunakan adalah penelitian hukum normatif. Sumber bahan hukum yang akan digunakan yakni sumber penelitian dari bahan primer, sekunder dan tersier. Teknik pengumpulan bahan hukum primer ataupun sekunder terkumpul berdasar topik masalah yang sudah dibuat rumusannya menggunakan sistem bola salju serta disklasifikasi menurut sumber juga hierarki agar disajikan dengan lengkap. Analisa bahan hukum dengan interprestasi hukum dan disajikan didalam bentuk deskripsi analisis. Kedudukan hukum LPD yang memiliki basis masyarakat hukum adat di Bali didalam sistim Lembaga Keuangan Mikro berdasarkan UU Nomor 10 Tahun 1998 mengenai Perbankan yaitu tidak bisa disamakan. LPD memiliki fungsi yang sangat penting karena sampai saat ini sudah melakukan pelayanan UMK serta masyarakat pedesaan di Bali lewat layanan jasa keuangan yang dilaksanakan menyesuaikan kebutuhan pelanggan, pendekatan personal, juga dekatnya lokasi dengan pelanggan.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.071

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 studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.008

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 head0.041
GPT teacher head0.269
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; 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 designQualitative
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

Citations5
Published2020
Admission routes1
Has abstractyes

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