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Record W2927330983 · doi:10.36805/jjih.v2i1.399

PERLINDUNGAN HUKUM TERHADAP DEBITOR YANG WANPRESTASI DALAM PERJANJIAN UTANG PIUTANG DARI ANCAMAN HUKUM PIDANA

2018· article· id· W2927330983 on OpenAlexaff
Muhammad Gary Gagarin Akbar, Zarisnov Arafat

Bibliographic record

VenueJustisi Jurnal Ilmu Hukum · 2018
Typearticle
Languageid
FieldSocial Sciences
TopicIndonesian Legal and Regulatory Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Abstrak Perjanjian merupakan perbuatan hukum yang paling sering kita lihat dalam kehidupan sehari-hari, khususnya perjanjian utang piutang. Dari masyarakat kelas atas sampai kelas bawah pernah melakukan perjanjian utang piutang untuk menutupi kebutuhan hidupnya. Dalam pelaksanaan perjanjian utang piutang mengandung resiko bahwa adanya kemungkinan terjadinya wanprestasi. Kasus wanprestasi yang dilakukan debitor dalam perjanjian utang piutang membawa masalah baru manakala kreditor yang merasa dirugikan melaporkan debitor kepada pihak kepolisian karena ketidakmampuannya membayar utang. Debitor harus mendapatkan perlindungan hukum dari ancaman pidana karena masalah perjanjian merupakan masalah hukum perdata yang jika terjadi permasalahan harus diselesaikan dengan jalur perdata pula. Lokasi dilakukannya penelitian ini yakni di beberapa wilayah Kabupaten Karawang dan Polres Karawang sebagai tempat dalam memperoleh data-data terkait kasus wanprestasi utang piutang. Metode yang digunakan dalam penelitian ini adalah penelitian lapangan (field research) dengan cara melakukan observasi, catatan lapangan, dan wawancara terhadap pihak terkait di lokasi penelitian tersebut. Hasil penelitian ini menjelaskan mengenai perlindungan hukum terhadap debitor wanprestasi apabila debitor pada saat melakukan negosiasi sebelum tercapainya kesepakatan melakukan tipu daya seperti nama palsu ataupun martabat palsu sebagaimana yang tercantum dalam Pasal 378 KUHP. Kemudian pola penyelesaian sengketa yang ideal dalam sengketa utang piutang adalah melalui negosiasi agar tercapainya win-win solution.
 Kata Kunci : Debitor, Perjanjian, Wanprestasi.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0080.005
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
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 head0.021
GPT teacher head0.288
Teacher spread0.267 · 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 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
Published2018
Admission routes1
Has abstractyes

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