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Record W2952990992 · doi:10.31942/jiffk.v15i01.2169

UJI AKTIVITAS ANTIPIRETIK EKSTRAK DAUN SISIK NAGA(Pyrrosia piloselloides (L.) M.G. Price) TERHADAP TIKUS PUTIH (Rattus norvegicus) JANTAN GALUR WISTAR YANG DIINDUKSI PEPTON 5%

2018· article· id· W2952990992 on OpenAlexaff
Ratna Widyasari, Dina Yuspitasari, Fadli Fadli, Athiah Masykuroh, Winda Tahuhiddah

Bibliographic record

VenueJIFFK Jurnal Ilmu Farmasi dan Farmasi Klinik · 2018
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicMedicinal Plant Research
Canadian institutionsDawson College
Fundersnot available
KeywordsTraditional medicinePhysicsMedicine

Abstract

fetched live from OpenAlex

INTISARI Demam adalah keadaan ketika suhu tubuh meningkat melebihi suhu tubuh normal. Demam terjadi karena pelepasan pirogen dari dalam leukosit yang sebelumnya telah terangsang oleh pirogen eksogen yang dapat berasal dari mikroorganisme atau merupakan suatu hasil reaksi imunologik yang tidak berdasarkan suatu infeksi. Sementara itu, banyak negara telah mengembangkan pengobatan menggunakan herbal. Salah satu usaha yang dilakukan adalah dengan penggunaan obat tradisional. Penelitian ini bertujuan untuk membuktikan bahwa daun Sisik Naga (Pyrrosia piloselloides (L.) M.G Price) dengan konsentrasi 0,062%, 0,125% dan 0,25% memiliki aktivitas antipiretik dengan menggunakan penginduksi demam Pepton 5%. Penelitian ini merupakan penelitian eksperimental dengan Rancang Acak Lengkap (RAL). Pengukuran suhu rektal tikus menggunakan termometer infra red. Hewan uji dibagi menjadi 5 kelompok yaitu kelompok kontrol negatif (suspensi Na-CMC 1%), kelompok kontrol positif (suspensi parasetamol) dan kelompok uji yaitu pemberian ekstrak daun sisik naga 0,062%, 0,125% dan 0,25%. Data yang diperoleh dianalisis dengan menggunakan uji anova dan uji LSD (Least Significant Different). Hasil dari penelitian ini bahwa ekstrak daun sisik naga (Pyrrosia piloselloides (L.) M.G Price) konsentrasi 0,25% mempunyai aktivitas antipiretik pada tikus putih (Rattus norvegicus) jantan galur wistar. Kata kunci: Antipiretik, Daun Sisik Naga (Pyrrosia piloselloides (L.) M.G Price), Pepton 5% ABSTRACT A fever is a condition when the body temperature rises beyond the normal body temperature. Fever occurs due to the release of pyrogytes from within leukocytes that have previously been stimulated by exogenous pyrogens that may originate from microorganisms or are a result of immunologic reactions that are not based on an infection. Meanwhile, many countries have developed treatments using herbs. One of the efforts done is with the use of traditional medicine. This study aims to prove that the leaves of the Dragon Scales (Pyrrosia piloselloides (L.) M.G Price) with concentrations of 0.062%, 0.125% and 0.25% have antipyretic activity using Pepton fever induction 5%. This research is an experimental research with Completely Random Design (RAL). Rectal temperature measurements of mice using infra red thermometer. Test animals were divided into 5 groups: negative control group (1% Na-CMC suspension), positive control group (paracetamol suspension) and the test group were 0.062%, 0.125% and 0.25%. The data obtained were analyzed using anova test and LSD (Least Significant Different) test. The results of this study showed that the extract of leaf scales (Pyrrosia piloselloides (L.) M.G Price) concentrations of 0.25% had antipyretic activity in white rats (Rattus norvegicus) male wistar strain. Keywords: Antipyretics, Leaf Scales Dragon (Pyrrosia piloselloides (L.) M.G Price), Pepton 5%

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.281
Teacher spread0.247 · 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 designBench or experimental
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

Citations12
Published2018
Admission routes1
Has abstractyes

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