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Record W4312858189 · doi:10.25105/refor.v1i1.10464

ANALISIS YURIDIS PENANGKAPAN IKAN TANPA SIPI PADA WILAYAH PULAU BAWEAN BERDASARKAN UU NOMOR 45/2009 TENTANG PERUBAHAN ATAS UU NOMOR 31/2004 TENTANG PERIKANAN (STUDI PUTUSAN PENGADILAN NEGERI BATANG NOMOR: 23/PID.SUS/2014.PN.BTG)

2019· article· id· W4312858189 on OpenAlexaff
Aurelia Karunia Kinanti, Endang Pandamdari

Bibliographic record

VenueReformasi Hukum Trisakti · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Kegiatan penangkapan ikan tanpa memiliki SIPI merupakan kegiatan yang tidak dibenarkan untuk dilakukan. Meskipun ada peraturan UU yang mengatur mengenai larangan tersebut, masih ada pihak tertentu yang melanggar peraturan tersebut. Pokok permasalahan yang dibahas dalam skripsi ini adalah 1)Apakah penangkapan ikan tanpa Surat Izin Penangkapan Ikan (SIPI) yang dilakukan oleh KMN.BINTANG SAMUDRA II melanggar UU Nomor 45/2009 Tentang Perubahan Atas UU Nomor 31/2004 dan Perda Provinsi Jatim Nomor 4/2005 serta Perda Kabupaten Gresik Nomor 8/2007, 2)Apakah penangkapan ikan tanpa Surat Izin Penangkapan Ikan (SIPI) yang dilakukan oleh KMN.BINTANG SAMUDRA II melanggar UU Nomor 45/2009 Tentang Perubahan Atas UU Nomor 31/ 2004 dan Perda Provinsi Jatim Nomor 4/2005 serta Perda Kabupaten Gresik Nomor 8/2007. Untuk menjawab permasalahan tersebut dilakukan penelitian hukum normatif dengan sifat deskriptif analisis, data yang digunakan data sekunder, pengolahan data kualitatif, dan penarikan kesimpulan menggunakan logika deduktif. Hasil penelitian menunjukan ada dua Perda yang mengatur hal tersebut, yaitu Perda Kabupaten Gresik Nomor 8/2007 Tentang Perjanjian Usaha Perikanan dan Perda Provinsi Jatim Nomor 4/2005 Tentang Usaha Perikanan dan Usaha Kelautan Provinsi Jatim, Pertimbangan Hakim dalam Putusan PN Batang Nomor: 23/Pid.Sus/2014/PN.BTG berkesimpulan bahwa Yaspaun terbukti bersalah melakukan tindak pidana penangkapan ikan tanpa Surat Izin Penangkapan Ikan (SIPI).

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.003
Science and technology studies0.0060.002
Scholarly communication0.0020.003
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.003

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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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
Published2019
Admission routes1
Has abstractyes

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