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Record W3116135624 · doi:10.24167/shk.v6i2.2683

Perlindungan Hukum Bagi Anak Korban Bullying Yang Mengakibatkan Gangguan Kesehatan Jiwa

2020· article· id· W3116135624 on OpenAlexaff
Try Ahmad Mirza

Bibliographic record

VenueSOEPRA · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMental healthChild protectionPsychiatryPsychologyGovernment (linguistics)MedicineEmpowermentClinical psychologyNursingPolitical scienceLaw

Abstract

fetched live from OpenAlex

Bullying has become a concerning phenomenon in any part of the world. Bullying of children has a serious impact, victims can experience psychosomatic when going to school, feel worthless, feel alienated, depressed, even commit suicide. This study discusses how the legal protection for children victim of bullying which causing mental health disorder is reviewed based on Law Number 35 the Year 2014 Regarding Child Protection and Law Number 18 the Year 2014 Regarding Mental Health and is associated with the implementation of child protection in the Social Service for Women's Empowerment and Child Protection in Cirebon City and prevention of mental health disorders in one of the hospitals in West Java. Based on the results of the study it can be concluded that children victim of bullying who had mental health disorders receive special protection as victims of psychological and physical violence (bullying) and special protection for children with disabilities who are also included in the term of People With Mental Disorder in the terminology of mental health. Legal protection also includes promotive and preventive efforts to prevent bullying children from falling into mental health disorders as well as curative and rehabilitative conditions for children who had experienced mental health disorders. All the efforts are carried out by the Government, Regional Government, Community, Family, and Parents. Integration of all components of this legal protection is expected to reduce the incidence of bullying against children and also be able to suppress mental health disorders as an outcome. Keywords: Legal protection of children, Bullying, Mental Health Disorder Abstrak: Bullying menjadi fenomena yang sangat memprihatinkan di belahan dunia manapun Bullying terhadap anak membawa dampak yang serius, korban dapat mengalami psikosomatis ketika akan berangkat sekolah, merasa tidak berharga, merasa terasingkan, depresi hingga melakukan bunuh diri. Penelitian ini membahas bagaimana Perlindungan Hukum bagi Anak Korban Bullying yang Mengakibatkan Gangguan Kesehatan Jiwa dikaji berdasarkan Undang-Undang Nomor 35 Tahun 2014 Tentang Perlindungan Anak dan Undang-Undang Nomor 18 Tahun 2014 Tentang Kesehatan Jiwa serta dikaitkan dengan pelaksanaan perlindungan anak di Dinas Sosial Pemberdayaan Perempuan dan Perlindungan Anak (DSPPPA) Kota Cirebon dan penanggulangan gangguan kesehatan jiwa di salah satu Rumah Sakit di Jawa Barat. Berdasarkan hasil penelitian dapat disimpulkan bahwa Anak Korban Bullying yang Mengalami Gangguan Kesehatan Jiwa mendapat perlindungan khusus sebagai korban kekerasan psikis dan fisik ( bullying ) serta perlindungan khusus anak penyandang disabilitas yang juga termasuk dalam istilah ODGJ (Orang Dengan Gangguan Jiwa) dalam terminologi Kesehatan Jiwa. Perlindungan hukum tersebut mencakup upaya promotif dan preventif untuk menghindari anak korban bullying jatuh kepada kondisi gangguan kesehatan jiwa serta kuratif dan rehabilitatif bagi anak korban bullying yang sudah mengalami gangguan kesehatan jiwa. Semua upaya di atas dilaksanakan secara simultan oleh Pemerintah, Pemerintah Daerah, Masyarakat, Keluarga, dan Orang Tua. Integrasi semua komponen perlindungan hukum di atas diharapkan dapat menekan angka kejadian bullying terhadap anak dan akhirnya juga dapat menekan luarannya yaitu gangguan kesehatan jiwa. Kata kunci : Perlindungan hukum anak, Bullying , Gangguan Kesehatan Jiwa

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.054
GPT teacher head0.303
Teacher spread0.249 · 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
Published2020
Admission routes1
Has abstractyes

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