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Record W4390958849 · doi:10.19109/tazir.v6i1.12901

PERAN DINAS PEMBERDAYAAN PEREMPUAN DAN PERLINDUNGAN ANAK PROVINSI SUMATERA SELATAN DALAM PENCEGAHAN KASUS KEKERASAN SEKSUAL ANAK DI MASA PANDEMI COVID-19 DITINJAU DARI HUKUM PIDANA ISLAM

2022· article· id· W4390958849 on OpenAlexaff
Natasya Khoirurizka, M. Tamudin, Fadillah Mursid

Bibliographic record

VenueTa zir Jurnal Hukum Pidana · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPolitical scienceIslamHumanitiesPsychologyPhilosophyTheology

Abstract

fetched live from OpenAlex

Tujuan penulisan ini adalah untuk menguraikan peran dinas pemberdayaan perempuan dan perlindungan anak provinsi sumatera selatan dalam pencegahan kekerasan seksual anak di masa pandemi Covid-19 ditinjau dari hukum pidana Islam. Metode penelitian yang digunakan adalah normatif empiris. Sumber data yang digunakan sumber hukum primer dan sekunder. Teknik pengumpulan data dilakukan dengan wawancara, observasi serta studi pustaka. Teknik Analisis data ditempuh dengan teknik deskriptif kualitatif. Hasil penelitian ini menunjukkan Pertama, Peran Dinas Pemberdayaan Perempuan dan Perlindungan Anak Provinsi Sumatera Selatan dalam pencegahan kasus kekerasan seksual pada anak belum berjalan optimal disebabkan adanya hambatan yaitu kurangnya Sumber Daya Manusia, terbatasnya anggaran dan wilayah geografis provinsi Sumatera Selatan yang luas. Kedua, Pandangan Hukum Pidana Islam terhadap peran Dinas Pemberdayaan Perempuan dan Perlindungan Anak Provinsi Sumatera Selatan dalam pencegahan kekerasan seksual pada anak sesuai dengan tujuan Hukum Pidana Islam yaitu ḥifzh ad-dīn, ḥifzh an-nafs, ḥifzh al-‘aql, ḥifzh an-nasb, ḥifzh al-māl, ḥifzh an-nasl, sesuai dengan kaidah fiqh yang menyatakan bahwa mencegah mafsadat lebih utama daripada mengambil manfaat serta termasuk kategori kajian Siyāsah Syar’iyyah. Kata Kunci : DPPA, Pencegahan, Kekerasan Seksual ABSTRACT The purpose of this paper is to describe the role of the women's empowerment and child protection service in the province of South Sumatra in preventing child sexual violence during the Covid-19 pandemic in terms of Islamic criminal law. The research method used is normative empirical. The data sources used are primary and secondary legal sources. Data collection techniques were carried out by interview, observation and literature study. Techniques Data analysis was carried out with qualitative descriptive techniques. The results of this study indicate: First, the role of the Office of Women's Empowerment and Child Protection in South Sumatra Province in preventing sexual violence against children is running optimally due to obstacles, namely the lack of Human Resources, limited budget and the wide geographical area of ​​the province of South Sumatra. Second, the view of Islamic Criminal Law on the Role of the Office of Women's Empowerment and Child Protection in South Sumatra Province in preventing sexual violence against children in accordance with the objectives of Islamic Criminal Law, namely ifzh ad-dīn, ifzh an-nafs, ifzh al-'aql, ifzh an-nasb, ifzh al-māl, ifzh an-nasl, in accordance with the rules of fiqh which state that preventing mafsadat is more important than taking advantage and belongs to the category of Siyāsah Syar'iyyah studies.Keywords : DPPA, Prevention, Sexual Violence

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.003

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 head0.037
GPT teacher head0.320
Teacher spread0.282 · 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 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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