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Perundungan di Kalangan Mahasiswa dapat Menyebabkan Gangguan Psikologis

2023· article· id· W4386330313 on OpenAlexaff
Denaya Ayu Fadiah, Nazwa Nur Afifah, Rida Nurul Fadillah, Ridwan Effendi, Ratna Fitria

Bibliographic record

VenueJurnal Jendela Inovasi Daerah · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicCOVID-19 Prevention and Impact
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Perundungan merupakan tindakan kekerasan yang dapat menyebabkan gangguan psikologi pada seseorang. Tindakan perundungan yang dapat dilakukan dengan tujuan menyakiti seseorang baik secara verbal, fisik maupun melalui media sosial. Saat ini kasus perundungan sedang marak di kalangan mahasiswa di Indonesia. Dampak yang didapatkan oleh korban perundungan dapat menyebabkan kondisi psikis terganggu dan keluhan kesehatan fisik. Maka dari itu dibuatnya artikel ini yang bertujuan untuk menambahkan rasa kepedulian sosial terhadap kasus perundungan di lingkungan sekitar, mengimplementasikan nilai-nilai pancasila dalam bertindak dan perilaku, dan mengedukasi baik korban maupun pelaku perundungan. Metode yang digunakan pada penelitian ini bersifat kualitatif yang disebarkan melalui kuesioner terhadap kalangan mahasiswa. Hasil penelitian menunjukan bahwadikalangan remaja terutama mahasiswa perguruan tinggi, kasus perundungan masih sangat tinggi, korban tindakan perundungan akan mengalami pshycological distress yang memepengaruhi kesehatan mental korban. Kondisi ini dapat menyebabkan tingkat kecemasan tinggi, depresi dan semangat korban yang menurun. Nilai-nilai pancasila sudah semestinya diimplementasikan oleh seluruh masyarakat Indonesia terutama mahasiswa khususnya pada sila kedua yang berbunyi “Kemanusiaan yang adil dan beradab” yang berkaitan dengan kasus perundungan, dan kegiatan sosialisasi kasus perundungan merupakan salah satu upaya yang dapat mencegah kasus perundungan.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.005

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 head0.074
GPT teacher head0.371
Teacher spread0.297 · 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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Citations1
Published2023
Admission routes1
Has abstractyes

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