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Record W4401063642 · doi:10.37893/jbh.v13i1.717

Perlindungan Hukum Pekerja Perjanjian Kerja Waktu Tertentu: Studi Kasus Divisi OPJT PT. Hutama Karya (Persero)

2024· article· id· W4401063642 on OpenAlexaff
Emy Ferdos, Suartini Suartini, Yusup Hidayat

Bibliographic record

VenueBinamulia Hukum · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Pekerja merupakan aset perusahaan yang berpengaruh di dalam menjalankan proses bisnisnya. Pekerja lebih lemah posisinya dibandingkan pemberi kerja. Sesuai perjanjian ketenagakerjaan terbagi menjadi dua jenis, yaitu Perjanjian Kerja Waktu Tertentu (PKWT) dan Perjanjian Kerja Waktu Tidak Tertentu (PKWTT). Dalam pelaksanaannya untuk penerapan PKWT yang dilaksanakan oleh perusahaan ada yang kurang sesuai dengan ketentuan perjanjian kerja yang diatur dalam Undang-Undang Ketenagakerjaan, sehingga aturan mengenai ketenagakerjaan masih terkendala dan menimbulkan permasalahan serta tantangan yang harus dihadapi dan memerlukan penyelesaian melalui pengadilan. Penulis bertujuan untuk mengetahui bentuk perlindungan hukum pekerja PKWT di Divisi Operasional Pemeliharaan Jalan Tol (OPJT) PT. Hutama Karya (Persero). Penelitian ini menggunakan jenis penelitian yuridis normatif dengan pendekatan peraturan perundang-undangan, adapun sumber hukum yang digunakan baik primer maupun sekunder diperoleh melalui studi pustaka. Hasil penelitian ini menunjukkan bahwa Divisi OPJT PT. Hutama Karya (Persero) sudah menerapkan perjanjian kontrak kerja PKWT sesuai dengan ketentuan regulasi terkait ketenagakerjaan UU Ciptaker termasuk untuk perubahan kontrak dari PKWT ke PKWTT serta perubahan perjanjian kontrak PKWT menjadi karyawan tetap.

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)0.003
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 score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.031
GPT teacher head0.310
Teacher spread0.279 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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