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All Journal Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Jurnal Farmasi SYIFA
Syahran, Dayna Maharani
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Biochemistry, Genetics & Molecular Biology Chemistry Health Professions Medicine & Pharmacology Public Health

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METODE ALGORITMA PENENTUAN KEPUTUSAN TERKAIT PEMBELIAN OBAT Tangkas, Hansel Hens; Yuwindry, Iwan; Abdi, Muhammad Mahendra; Melviani, Melviani; Gumarus, Ellora Griselda; Syahran, Dayna Maharani
Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan 2023: Webinar Nasional & Call For Paper
Publisher : Sekolah Tinggi Ilmu Kesehatan ISFI Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36387/jiis.v8i3.1637

Abstract

Medication is one of the important or primary needs in health services used by the community. Cases of acute renal failure totaled 326 cases with 204 children dying as of July 19, 2023. A study explains that the safety of a product is significantly related to purchasing decisions. Decision methods related to drug purchases have never been found until now. Feelings of indecision or anxiety due to the rampant cases of acute renal failure can be eliminated by the existence of a method or fixed scale. This study generally aims to help the community in determining drug purchase decisions through a method. The design in this study is to use a descriptive observational design with a survey research design. Data were obtained by interview and analyzed by making verbatim tables. Then, the algorithm was tested for validity and reliability on 30 samples. The results explained that the interviewees prioritized quality, price, and opinions from others in deciding to buy drugs. Researchers created an algorithm based on indicators of drug purchase decisions, including drug needs, drug usage history, drug information, and drug needs. The algorithm has been said to be valid as evidenced by the value of r count> r table and reliable as an instrument that helps people determine as evidenced by the value of Cronbach's Alpha> 0.6. Indicators of drug purchase decisions are influenced by drug usage history, drug needs, drug information, and drug needs. The algorithm created has been tested valid and reliable.
Identifikasi Bahan Kimia Obat Natrium Diklofenak Dengan Metode KLT Dan Spektrofotometri Uv-Vis Pada Jamu Pegel Linu Di Kota Banjarmasin Jannah, Ghina Raudhatul; Syahran, Dayna Maharani; Husna, Hafizatul; Mutia, Desy; Azzahra, Fifi Alayda; Septianto, Gemilang; Hastika, Febby Yulia
Jurnal Farmasi SYIFA Vol 2 No 2 (2024): Jurnal Farmasi SYIFA
Publisher : CV. Wadah Publikasi Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63004/jfs.v2i2.425

Abstract

Jamu merupakan salah satu obat tradisional yang banyak digunakan oleh masyarakat Indonesia dan telah dikonsumsi sebagai pengobatan sejak dahulu. Masyarakat meyakini bahwa jamu tidak memiliki efek samping yang serius dan berpikir bahwa jamu sangat aman bila dikonsumsi dalam jangka waktu panjang jika dibandingkan dengan mengonsumsi obat-obatan dari bahan kimia atau sintesis pa Sedangkan, Bahan Kimia Obat (BKO) yang ditambahkan pada jamu biasanya tidak menyertakan informasi yang jelas pada kemasannya sehingga memungkinkan terjadinya efek buruk bagi kesehatan penggunanya. Penelitian ini bertujuan untuk mengetahui kadar BKO natrium diklofenak yang terkandung pada jamu pegel linu yang beredar. Penelitian ini menggunakan metode analisis kualitatif dengan Kromatografi Lapis Tipis (KLT) dan analisis kuantitatif Spektrofotometri UV-Vis. Hasil analisis kualitatif pada sampel jamu pegel linu memiliki nilai Rf yakni 0,85 sedangkan pada larutan standar natrium diklofenak memiliki nilai Rf 0,84. Pada analisis kuantitatif didapatkan hasil konsentrasi natrium diklofenak 17,363 ppm atau kadar sebanyak 0,0017363%. Hasil tersebut membuktikan bahwa adanya kandungan obat pada sampel jamu tersebut. Berdasarkan hasil yang didapatkan dapat disimpulkan bahwa produk jamu pegel linu positif mengandung natrium diklofenak.
Co-Authors Abdi, Muhammad Mahendra Azzahra, Fifi Alayda Gumarus, Ellora Griselda Hastika, Febby Yulia Husna, Hafizatul Jannah, Ghina Raudhatul Melviani, Melviani Mutia, Desy Septianto, Gemilang Tangkas, Hansel Hens Yuwindry, Iwan