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Record W4308473704 · doi:10.51817/bjp.v6i1.386

Evaluasi Kesesuaian Penyimpanan Obat Di Salah Satu Apotek Kota Cimahi

2022· article· id· W4308473704 on OpenAlexaff
Elis Susilawati Elis Susilawati

Bibliographic record

VenueBorneo Journal of Pharmascientech · 2022
Typearticle
Languageid
FieldHealth Professions
TopicArtificial Intelligence in Healthcare
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTraditional medicinePhysicsFood scienceChemistryMedicine

Abstract

fetched live from OpenAlex

Penyimpanan merupakan salah satu faktor utama dalam pemeliharaan mutu obat dengan menyimpan secara tepat dan sesuai dengan standar yang telah ditetapkan, jika hal tersebut tidak dilakukan akan menyebabkan mutu obat tidak terjamin selama penyimpanan di apotek. Tujuan penelitian ini untuk mengetahui bagaimana penyimpanan obat dan seberapa besar persentase kesesuaian sistem penyimpanan obat di salah satu Apotek Kota Cimahi Berdasarkan Petunjuk Teknis Standar Pelayanan Kefarmasian di Apotek Tahun 2019. Penelitian menggunakan metode observasional yang bersifat deskriptif dan evaluasi menggunakan lembar tabel checklist. Penyimpanan obat di salah satu Apotek Kota Cimahi disimpan berdasarkan bentuk sediaan, kelas terapi, stabilitas serta ditata secara alfabetis dengan sistem pengeluaran menggunakan sistem FEFO. Sistem penyimpanan obat di apotek yang sesuai dengan Petunjuk Teknis Standar Pelayanan Kefarmasian yaitu sebesar 86,36 % sedangkan yang tidak sesuai dengan Petunjuk Teknis Standar Pelayanan Kefarmasian yaitu sebesar 13,64% diantaranya penyimpanan LASA atau NORUM yang berdekatan, pencatatan pada kartu stok yang kurang optimal dan tidak adanya listrik cadangan. Sistem penyimpanan di salah satu Apotek Kota Cimahi belum sepenuhnya sesuai dengan Petunjuk Teknis Standar Pelayanan Kefarmasian.

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)0.014
metaresearch head score (Gemma)0.003
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 score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0060.001
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.008
Insufficient payload (model declined to judge)0.0130.001

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 head0.144
GPT teacher head0.471
Teacher spread0.327 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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