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Record W4389212006 · doi:10.61902/cerata.v13i2.611

UJI DAYA HAMBAT AMOKSISILIN DAN KOTRIMOKSAZOL TERHADAP ISOLAT ESCHERICHIA COLI PADA SUMBER AIR BAKU SUNGAI CITARUM

2023· article· id· W4389212006 on OpenAlexaff
Nuraeni Putri, Ahsanal Kasasiah, Lely Sulfiani Saula

Bibliographic record

VenueCERATA Jurnal Ilmu Farmasi · 2023
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsBiologyMedicineTraditional medicine

Abstract

fetched live from OpenAlex

Sungai Citarum merupakan sungai terpanjang di wilayah Provinsi Jawa Barat. Aliran sungai ini di daerah Kabupaten Karawang memiliki banyak manfaat bagi kehidupan manusia, salah satunya sebagai sumber air baku untuk layanan air bersih. Sungai Citarum telah dilaporkan mengalami pencemaran sehinggga mengindikasikan keberadaan bakteri patogen E. coli. Bakteri ini mampu menyebabkan infeksi pada manusia seperti infeksi saluran pencernaan (diare) dan infeksi saluran kemih (ISK). Penggunaan antibiotik menjadi salah satu solusi untuk mengobati infeksi akibat bakteri pada manusia, namun antibiotik seringkali mengalami resistensi. Hal ini berbahaya bagi kehidupan manusia karena dapat mengakibatkan terapi menjadi tidak efektif, meningkatkan morbiditas dan mortalitas. Sensitivitas suatu antibiotik berpengaruh terhadap keberhasilan pengobatan, maka penelitian ini bertujuan untuk menguji daya hambat antibiotik amoksisilin dan kotrimoksazol.yang digunakan untuk mengobati infeksi akibat bakteri E. coli. Penelitian ini adalah penelitian eksperimental yang meliputi uji pendugaan, uji penegasan, pewarnaan gram, dan uji daya hambat antibiotik terhadap bakteri dengan metode difusi cakram. Berdasarkan hasil penelitian, amoksisilin dan kotrimoksazol masih bersifat sensitif terhadap isolat E. coli. Uji daya hambat yang dilakukan pada amoksisilin menunjukkan diameter zona hambat ≥17 mm sedangkan pada kotrimoksazol menunjukkan diameter zona hambat ≥16 mm.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.030
GPT teacher head0.301
Teacher spread0.271 · 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 teacher head, not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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