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Record W3188409792 · doi:10.26751/jikk.v12i2.1150

PENGARUH PEMBERIAN JUS TOMAT TERHADAP TEKANAN DARAH PADA PENDERITA HIPERTENSI DI PUSKESMAS PURWOSARI KUDUS

2021· article· id· W3188409792 on OpenAlexaff
Noor Cholifah, Dewi Hartinah

Bibliographic record

VenueJurnal Ilmu Keperawatan dan Kebidanan · 2021
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Latar Belakang: Semakin tua kemampuan tubuh semakin berkurang sehingga diperlukan penanganan lanjutan terhadap penyakit hipertensi. Pola diit yang menitik beratkan pada buah-buahan dan produk-produk berkadar lemak rendah dapat menurunkan tekanan darah secara signifikan. Kandungan kalium dalam buah tomat dapat menurunkan tekanan darah dengan mengurangi natrium dalam urine dan air dengan cara yang sama seperti diuretik. Tujuan Penelitian: Mengetahui pengaruh pemberian jus tomat terhadap tekanan darah pada penderita hipertensi di Puskesmas Purwosari Kudus.Metode: Jenis penelitian quasi experiment design dengan pendekatan non equivalent control group. Populasi penelitian ini adalah semua penderita hipertensi di Puskesmas Purwosari Kudus bulan Januari-Maret 2021 sebanyak 62 orang, dengan sampel penelitian sebanyak 38 orang. Variabel independennya pemberian jus tomat, dan variabel dependennya tekanan darah. Analisa data menggunakan uji Wilcoxon. Hasil Penelitian: Hasil uji Wilcoxon didapatkan nilai p value 0,003 0,05 artinya ada pengaruh pemberian jus tomat terhadap tekanan darah pada penderita hipertensi di Puskesmas Purwosari Kudus.Kesimpulan: Terdapat pengaruh pemberian jus tomat terhadap tekanan darah pada penderita hipertensi di Puskesmas Purwosari Kudus.

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)0.002
metaresearch head score (Gemma)0.002
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 categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
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; 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

Citations6
Published2021
Admission routes1
Has abstractyes

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