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Record W4312700764 · doi:10.31869/jmp.v1i1.3455

PENINGKATAN PENGETAHUAN PADA LANSIA MENGENAI KOMPRES SERAI TERHADAP PENURUNAN SKALA NYERI RHEUMATOID ARTRITIS DI WILAYAH KERJA PUSKESMAS KALIDONI PALEMBANG

2022· article· id· W4312700764 on OpenAlexaff
Yofa Anggriani Utama

Bibliographic record

VenueMenara Pengabdian · 2022
Typearticle
Languageid
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecologyRheumatoid arthritisTraditional medicineInternal medicine

Abstract

fetched live from OpenAlex

Penyakit Rheumatoid Arthritis merupakan salah satu penyakit kronis yang dapat menimbulkan sensasi nyeri pada lansia, salah satu upaya untuk mengurangi nyeri dengan menggunakan terapi non farmakologis. Adapun tujuan penelitian dari dilaksnakannya kegiatan pengabdian kepada masyarakat ini untuk Peningkatan Pengetahuan Pada Lansia Mengenai Kompres Serai Terhadap Penurunan Skala Nyeri Rheumatoid, Metode pelaksanaan dilaksanakan secara off line di posyandu lansia anggrek Wilayah Kerja Puskesmas Kalidoni Palembang. Kegiatan ini diikuti oleh 25 orang lansia, Berdasarkan hasil kegiatan didapatkan bahwa tingkat pengetahuan sebelum diberikan penyuluhan sebanyak 19 orang peserta (76%) peserta memiliki pengetahuan yang kurang baik mengenai Kompres Serai Terhadap Penurunan Skala Nyeri Rheumatoid Arthritis. Setelah diberikan penyuluhan kesehatan terjadinya peningkatan pengetahuan sebanyak 21 orang peserta (84%) peserta memiliki pengetahuan baik mengenai Kompres Serai Terhadap Penurunan Skala Nyeri Rheumatoid Arthritis.
 
 Kata Kunci : Pengetahuan, Lansia, kompres serei Rheumatoid Artritis

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, 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 score0.311
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0080.000
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.006
Insufficient payload (model declined to judge)0.0560.002

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 head0.049
GPT teacher head0.366
Teacher spread0.317 · 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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