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PENYULUHAN PEMBERDAYAAN KELUARGA SAKINAH PADA PASANGAN YANG MEMILIKI PROBLEM KOMUNIKASI DI DESA LUBUK TERENTANG KABUPATEN KUANTAN SINGINGI

2023· article· id· W4382895101 on OpenAlexaff
Zulhaini Aini, Syamsul Arifin, Silvia Silvia, Maharani Puspitasari, Rista Kilana, Sandri Oktari, Adinda Putri, Kalimatul Hakmi, Yarmiati Yarmiati, Poni Yuspita

Bibliographic record

VenueBHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicMarriage and Family Dynamics
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Perkawinan merupakan aspek penting dari ajaran Islam untuk hidup rukun. Pernikahan merupakan titik awal bagi sebuah keluarga Muslim untuk meletakkan fondasi bagi kehidupan mereka. Ciri-ciri keluarga sakinah antara lain: Ia berfungsi sebagai tempat yang menumbuhkan cinta, saling menghormati, membawa kebahagiaan, kedamaian, keamanan dan ketentraman bagi keluarga. "Sakina" (artinya kebahagiaan) adalah nilai akhir dari setiap keluarga Muslim. Tujuan pelaksanaan penyuluhan di Desa Lubuk Terentang adalah untuk memberikan pemahaman kepada masyarakat mengenai pemberdayaan keluarga sakinah pada pasangan yang memiliki problem komunikasi. Metode pelaksanaan pengabdian dilaksanakan dengan tiga tahapan, dimana tahap pertama merupakan tahap persiapan, tahap kedua adalah tahap pelaksanaan pengabdiandan tahap ketiga adalah prmbuatan laporan. Tim penyuluhan memberikan pengetahuan mengenai pemberdayaan keluarga sakinah pada pasangan yang memiliki problem komunikasi. Penyuluhan dilakukan pada ibu PKK Desa Lubuk Terentang, Kecamatan Gunung Toar, Kabupaten Kuantan Singingi. Hasil dari kegiatan ini adalah Meningkatnya pengetahuan Ibu PKK tentang pembangunan keluarga sakinah pada pasangan yang memiliki problem komunikasi.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0370.010

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 head0.027
GPT teacher head0.281
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreOther

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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Citations0
Published2023
Admission routes1
Has abstractyes

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