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All Journal Jurnal Farmasi Indonesia Jurnal An-Najat: Jurnal Ilmu Farmasi dan Kesehatan
Pudiastuti RSP
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Veterinary

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Pengembangan Dan Optimasi Formula Self Mikroemulsi Drug Delivery System (SMEDDS) Kurkumin Untuk Meningkatkan Bioavaibilitas Ilham kuncahyo; Pudiastuti RSP
Jurnal Farmasi Indonesia Vol 14 No 2 (2017): Jurnal Farmasi Indonesia
Publisher : Fakultas Farmasi Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (411.393 KB) | DOI: 10.31001/jfi.v14i2.294

Abstract

Curcumin has been shown to have activity as an anti-tumor, anti-inflammatory, anti-viral, anti-oxidizing and anti-HIV. The use of curcumin in a long-term treatment process provides a low toxicity so it is clinically very beneficial to develop. The active ingredient of curcumin derived from curcuma longa plant extract has a very low bioavaiblity. This is due to the poor solubility of curcumin in water (11 ng / ml, pH 5.0) so that it is slightly absorbed in the gastrointestinal tract. This problem can be overcome by making the preparation of curcumin in the form of Self Microemulsion Drug Delivery System (SMEDDS). Initial studies were screened for the solubility of curcumin with carriers of various types of oils, surfactants and cosurfactants. The screening results continued with the selection of optimum formula SMEDDS kurkumin using Simpelx Lattice Design (SLD) method. Three variables will give 14 SMEDDS curcumin formulas each of which the formula is tested for its characteristics as a critical point include:% transmittance, emulsification time and drug loading. The results of each test were analyzed with Exspert version 7 and continued validation of optimum formula with T test with 95% confidence level. The results showed that the initial screening of curcumin was found to be the highest solubility in olive oil, Tween 80 surfactant and PEG 400 cosurfactant. The three types of materials were optimized with SLD giving optimum formula of SMEDDS curcumin composition with 0,026 olive oil composition; 0.0913 Tween 80 and 0.061 PEG 400.
Evaluasi Penerapan Sistem Informasi Manajemen Rumah Sakit Pada Instalasi Farmasi Rsud Cilacap Dengan Metode End User Computing Satisfaction (Eucs) Windi Antika; Jason Merari Peranginangin; Pudiastuti RSP
An-Najat Vol. 2 No. 3 (2024): AGUSTUS - An-Najat: Jurnal Ilmu Farmasi dan Kesehatan
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/an-najat.v2i3.1421

Abstract

SIMRS is used to process and integrate all hospital services using system networks, reporting, and management or administration flows to obtain accurate information. Evaluation of the information system at Cilacap Regional Hospital was carried out to see whether the information system had been implemented well or not. The End User Computing Satisfaction (EUCS) method is used to compare user expectations and realities regarding information systems in order to determine the level of satisfaction. This research uses a descriptive method with a quantitative approach. This research method uses cross sectional. The research instrument used was a questionnaire. The sample for this research consisted of 48 users. The independent variables consist of content, accuracy, format, ease of use, and timelines. The dependent variable is the level of user satisfaction. Data analysis was carried out using correlation tests and multiple linear regression tests. Based on the results of the correlation test, the variables content, accuracy, format, ease of use, and timelines have a significant relationship with the level of SIMRS user satisfaction. Based on the multiple linear regression test, the variables content, accuracy, format, ease of use, and timelines together have a significant relationship with the level of satisfaction. Multiple linear regression model Y=5.610 + 0.129X1 + 0.143X2 + 0.201X3 + 0.462X4 + 0.3479X5.
Co-Authors Ilham Kuncahyo, Ilham Jason Merari Peranginangin Windi Antika