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All Journal Jurnal Farmasi Sains dan Terapan (Journal of Pharmacy Science and Practice) Jurnal Surya Medika International Journal of Clinical Inventions and Medical Sciences (IJCIMS) Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Health Research Journal of Indonesia Indonesian Journal of Pharmacy and Natural Product
Yuwindry, Iwan
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Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Journal : Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan

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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.
Co-Authors Abdi, Muhammad Mahendra Arzyki, Saftia Ballo, Gitria Putri Gumarus, Ellora Griselda Halisah Hawini, Laudia Irawan, Angga Kamilah, Zahrah Karlina, Delva Warti Kurniawati, Darini Melviani Melviani, Melviani Mustaqimah Mustaqimah Mutaharah, Siti Nastiti, Kunti Noval Noval Nurhikmah Nurhikmah Palimbo, Andriana Riduansyah, Muhammad Syahran, Dayna Maharani Tangkas, Hansel Hens TM, Muhammad Fajriannor Umi Hasanah, Umi Widianto, Argo Yusri Yusri Yusri