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Record W2965503404

Analisis Pengaturan Prinsip Fair Use Terkait Sarana Kontrol Teknologi Hak Cipta Dalam Undang-Undang Nomor 28 Tahun 2014 Tentang Hak Cipta.

2019· article· id· W2965503404 on OpenAlexaboutno aff
Ariesta Tri Utami

Bibliographic record

VenueKumpulan Jurnal Mahasiswa Fakultas Hukum · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicIndonesian Legal and Regulatory Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesLawPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Ariesta Tri Utami, Moch.Zairul Alam, S.H, M.H.,Setiawan Wicaksono, S.H., M.Kn Fakultas Hukum, Universitas Brawijaya ariestatriu@gmail.com ABSTRAK Prinsip fair use adalah pembatasan atau perkecualian dimana seseorang dapat menggunakan ciptaan tanpa izin pencipta, dengan alasan tertentu yang diperbolehkan. Sarana kontrol teknologi adalah teknologi, yang digunakan untuk mencegah atau membatasi tindakan yang tidak diizinan oleh pencipta. Permasalahan ini dilatarbelakangi oleh penggunaan sarana kontrol teknologi untuk melindungi ciptaan digital dan bagaimana analisis terkait pengaturan sarana kontrol teknologi apabila dikaitkan dengan prinsip fair use . Berdasarkan latarbelakang tersebut, permasalahan hukum dalam penelitian ini adalah 1) Bagaimana analisis pengaturan prinsip fair use pada pasal 44 ayat (1) Undang-Undang Nomor 28 Tahun 2014 apabila dikaitkan dengan pengaturan sarana kontrol teknologi dalam pasal 52 Undang-Undang Nomor 28 Tahun 2014. 2) Bagaimana pengaturan hukum yang seharusnya terkait sarana kontrol teknologi hak cipta pada Undang-Undang Nomor 28 Tahun 2014. Untuk menjawab permasalahan, penelitian hukum ini menggunakan metode penelitian yang digunakan adalah yuridis normatif. Berdasarkan pembahasan, maka dapat disimpulkan: 1) Berdasarkan analisis penulis, terdapat kekuranglengkapan pengaturan prinsip fair use apabila dikaitkan dengan sarana kontrol teknologi, sehingga perlunya dilakukan revisi terkait pengaturan sarana kontrol teknologi di Indonesia. 2) pengaturan yang seharusnya terkait sarana kontrol teknologi didapatkan melalui perbandingan dengan negara Kanada yang menerapkan prinsip fair use terhadap sarana kontrol teknologi Kata Kunci : Analisis, Pengaturan, Prinsip fair use, Sarana Kontrol Teknologi ABSTRACT Fair use principle is defined as a limitation or exclusion that allows a person to use a creation of another without consent of the creator for an acceptable particular reason. A means of technological control is defined as a technology utilised to avert or restrict any conducts not allowed by the creator. This issue embarks from users of a means of technological control to protect digital work and analysis regarding the regulation of a means of technological control when it is related to the principle of fair use. This research is aimed to study the following research problems: 1) how is the analysis of the regulation of fair use principle in Article 44 Paragraph (1) of Act Number 28 of 2014 when related to the regulation of a means of technological control in Article 52 of Act Number 28 of 2014, 2) how should the technological control over copyright in regards to Act Number 28 of 2014 be regulated? Normative juridical method was employed to answer the problems. The result of this research concludes that there seems to be incomplete regulation of fair use principle when it is related to a means of technological control, and this issue indicates that regulation of the means of technological control in Indonesia needs revising. Moreover, the recommendation of the regulation of the means of technological control is gained by comparing it with that in Canada applying the fair use principle for the means of technological control. Keywords : analysis, regulation, fair use principle, means of technological control

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, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.003

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 head0.018
GPT teacher head0.252
Teacher spread0.234 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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