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Record W3135555003 · doi:10.46930/retentum.v3i1.904

ANALISIS YURIDIS PENEGAKAN HUKUM TERHADAP TINDAK PIDANA PEMAKAIAN BIDANG TANAH TANPA IZIN YANG BERHAK ATAU KUASANYA DI WILAYAH HUKUM KEPOLISIAN DAERAH SUMATERA UTARA (POLDA-SU)

2021· article· id· W3135555003 on OpenAlexaff
Nikson Silitonga, Mhd. Ansori Lubis, Syawal Amry Siregar

Bibliographic record

VenueJURNAL RETENTUM · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Rumusan masalah dalam penelitian ini adalah bagaimana aturan hukum tentang pemakaian bidang tanah tanpa izin yang berhak atau kuasanya, bagaimana penegakan hukum dan faktor kendalanya terhadap tindak pidana pemakaian bidang tanah tanpa izin yang berhak atau kuasanya di Wilayah Hukum Kepolisian Daerah Sumatera Utara. Diperoleh hasil bahwa aturan pidana pemakaian tanah tanpa izin diatur dalam Perpu Nomor 51 Tahun 1960 tentang Larangan Pemakaian Tanah Tanpa Izin Yang Berhak Atau Kuasanya. Pada pasal 2 dan pasal 6 Perpu tersebut dinyatakan bahwa pemakaian tanah tanpa izin dari yang berhak maupun kuasanya yang sah adalah perbuatan yang dilarang. Penegakan hukum dikepolisian diawali dengan menerima laporan dari masyarakat, kemudian dilanjutkan dengan penyidikan, dan berakhir dengan pelimpahan berkas perkara dan tersangkanya kepada jaksa penuntut umum. Faktor kendala adalah kesulitan membedakan perkara pidana dengan perkara perdata dalam kasus pertanahan, adanya dualisme aturan hukum, sering sulit membedakan keaslian bukti kepemilikan tanah, terdapat instansi yang berbeda mengeluarkan bukti kepemilikan atas bidang tanah yang sama pada pihak yang berbeda, serta adanya intervensi dari oknum-oknum dipemerintahan ataupun dari oknum kepolisian.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.288
Teacher spread0.264 · 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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