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The Studi Transformasi Deteksi Sinyal Farmakovigilans: Dari Spontaneous Reporting System (SRS) Menuju Integrasi Artificial Intelligence (AI): - Candra, Novita Diana Ayu; Nur Muhammad Herunda Putra; Endang Darmawan
Media Farmasi Indonesia Vol. 20 No. 2 (2025): Media Farmasi Indonesia
Publisher : SEKOLAH TINGGI ILMU FARMASI YAYASAN PHARMASI SEMARANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53359/mfi.v20i2.342

Abstract

Adverse Drug Reactions (ADR) menjadi ancaman serius terhadap keselamatan pasien dan beban finansial sistem kesehatan global. Sistem pelaporan spontan (Spontaneous Reporting System/SRS) merupakan pendekatan tradisional utama dalam deteksi sinyal farmakovigilans, namun dibatasi oleh underreporting, keterlambatan pelaporan, dan bias pelapor. Artikel ini bertujuan untuk membandingkan pendekatan SRS dengan pendekatan berbasis Artificial Intelligence (AI) dalam mendeteksi sinyal keamanan obat. Metode yang digunakan adalah kajian naratif literatur, dengan penelusuran literatur dari database yang sesuai kriteria inklusi yaitu artikel original dan terbit pada tahun 2015-2025. Data yang diperoleh dianalisis dan disajikan secara deskriptif. Hasil studi menunjukkan bahwa pelaporan ADR masih rendah akibat hambatan sistemik, namun dapat ditingkatkan melalui pelatihan dan intervensi multifaset. Integrasi AI, seperti model LGBM, dLBM, dan aTarantula, mampu mendeteksi ADR secara otomatis dengan akurasi tinggi, bahkan dari data tidak terstruktur. Kesimpulan artikel ini bahwa pendekatan integratif antara SRS dan AI merupakan strategi optimal untuk meningkatkan efektivitas deteksi sinyal farmakovigilans di masa depan, dengan menggabungkan kekuatan data real-world dari SRS dan kemampuan analitik canggih dari AI.
Formulation And Antibacterial Activity Test Of Betel Leaf (Piper Betle L.) Essential Oil Mouthwash Against Streptococcus mutans Andini, Prasti; Firdaus, Anisa; Candra, Novita Diana Ayu; Salamah, Nina; Mulyaningisih, Sri
Jurnal Ilmu Farmasi dan Farmasi Klinik Vol. 23 No. 1 (2026): Jurnal Ilmu Farmasi dan Farmasi Klinis (JIFFK)
Publisher : Universitas Wahid Hasyim Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31942/jiffk.v23i1.13872

Abstract

Dental caries is a prevalent oral health issue in Indonesia, largely caused by Streptococcus mutans. While Piper betle L. essential oil possesses known antibacterial properties, its utilization in a stable mouthwash formulation requires scientific validation. Objective: This study aimed to formulate Piper betle L. essential oil into a mouthwash emulsion and evaluate its antibacterial activity against S. mutans. Essential oil was obtained via steam distillation and formulated into mouthwashes at concentrations of 1%, 2%, and 4% (v/v) using Tween 80 as an emulsifier. Antibacterial activity was assessed using the well-diffusion method against S. mutans (0.5 McFarland standard) in independent triplicate wells (n=3). Vehicle control (without essential oil) and Povidone-Iodine 10% (positive control) were used for comparison. Data were analyzed using One-Way ANOVA followed by Tukey HSD post-hoc test (p<0.05). The formulation containing 4% essential oil exhibited the strongest antibacterial activity among the test groups, with an inhibition zone of 12.66 ± 1.76 mm, which was significantly higher than the vehicle control (9.29 ± 2.67 mm; p < 0.05). The positive control showed the highest inhibition (18.03 + 1.16 mm). Physical evaluation confirmed that all formulations remained stable during 7 days of storage at room temperature (27 ± 2°C), with no specific control of relative humidity, with pH values (6.46–6.82) and specific gravity (1.03–1.04 g/mL) within physiological limits. Piper betle L. essential oil mouthwash is physically stable and effective against S. mutans in a concentration-dependent manner, suggesting its promising potential as a natural alternative for oral hygiene maintenance