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Analisis Cost-Benefit Terapi Simvastatin dengan Atorvastatin pada Pasien Dislipidemia di Apotek 71 Kota Kediri dengan Pendekatan Human Capital Method Prasetyawan, Fendy; Saristiana, Yuneka; Mildawati, Ratna; Fadel, Muhammad Nurul; Besan, Emma Jayanti; Astutik, Widhi; Arifin, Chandra; Rofiq, Abd; Rhomah, Eka Hayati
Business and Economic Publication Vol. 3 No. 2 (2025): Business and Economic Publication
Publisher : Fakultas Ekonomi Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/bep.v3i2.1571

Abstract

This study aims to analyze the cost-benefit of simvastatin therapy compared to atorvastatin in dyslipidemia patients at Apotek 71 Kediri City using the Human Capital Method. Using a cross-sectional study design, this study analyzed 60 patients (30 simvastatin users, 30 atorvastatin users). Productivity loss data was collected through a patient self-report questionnaire and valued monetarily using the assumption of a uniform daily wage. Results showed that direct costs of simvastatin were lower (IDR 75,000/month) than atorvastatin (IDR 210,000/month), but lost productivity in the simvastatin group was higher (IDR 384,000) than atorvastatin (IDR 180,000). The Net Benefit value of simvastatin therapy was -Rp 39,000 with a Benefit Cost Ratio (BCR) of 0.91, while atorvastatin produced a Net Benefit of +Rp 210,000 with a BCR of 1.54. The difference in Net Benefit was statistically significant based on an independent t-test (p=0.002). Thus, atorvastatin is more economically efficient than simvastatin because it provides higher productivity benefits despite higher direct costs.
Pharmacokinetics and Druglikeness of Amoxicillin Drug using SwissADME Prasetyawan, Fendy; Saristiana, Yuneka; Mildawati, Ratna; Rhomah, Eka Hayati; Fadel, Muhammad Nurul; Besan, Emma Jayanti
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 2 (2025): November
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i2.3

Abstract

Amoxicillin, a widely utilized semi-synthetic penicillin derivative, remains a cornerstone in treating various bacterial infections. Despite its extensive clinical application, a comprehensive in silico assessment of its pharmacokinetic and "druglikeness" properties using modern computational tools can provide valuable complementary insights. This study employed the SwissADME web platform to meticulously analyze the computed descriptors, physicochemical characteristics, ADME profile, druglikeness, and medicinal chemistry aspects of amoxicillin. The chemical structure of amoxicillin, represented by its SMILES string, was retrieved from the PubChem database and subsequently input into SwissADME for analysis. The results indicate that amoxicillin possesses a molecular weight of 365.40 g/mol and a hydrophilic nature, as evidenced by its consensus LogP value of -0.39 and high water solubility predictions. Its Topological Polar Surface Area (TPSA) is 158.26 Ų, and it contains 4 hydrogen bond donors and 6 hydrogen bond acceptors. While the in silico prediction for gastrointestinal (GI) absorption was "Low" (likely due to the high TPSA and hydrophilicity, suggesting reliance on active transport mechanisms in vivo), amoxicillin fully complies with Lipinski's Rule of Five, indicating good oral bioavailability potential. Furthermore, it is predicted not to permeate the Blood-Brain Barrier (BBB) and shows no inhibitory activity against major CYP450 enzymes (CYP1A2, CYP2C19, CYP2C9, CYP2D6, CYP3A4) or P-glycoprotein, minimizing potential drug-drug interactions. The absence of PAINS and Brenk alerts signifies a clean chemical profile regarding assay interference and toxicity flags. Although some stricter druglikeness filters were violated due to its polar nature, amoxicillin's overall in silico profile, combined with its established clinical efficacy, highlights the complex interplay of physicochemical properties and biological transport mechanisms. This study reaffirms amoxicillin's favorable attributes from a computational perspective, serving as a valuable reference for understanding established antibiotics and guiding future antimicrobial design.