Anisha Fhuza Hasibuan
Universitas Islam Negeri Sumatera Utara

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Sistem Pendukung Keputusan Rekomendasi Obat Sakit Gigi Menggunakan Metode MOORA Muhammad Yasin Simargolang; Anisha Fhuza Hasibuan; Diana Asmarani Siregar
Sistem Pendukung Keputusan dengan Aplikasi Vol 1 No 1 (2022): Maret 2022
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.368 KB) | DOI: 10.55537/spk.v1i1.106

Abstract

Toothache medicine is an ingredient that is intended to ward off, eliminate and restore disease or signs of dental disease that attacks. Diseases of the teeth and mouth can also trigger the arrival of other diseases. People basically often underestimate a disease, then when the patient is treated by the medical staff, the patient feels the situation is getting worse than before. The purpose of this study was to determine the representation of the administration of toothache medicines in our drugstore which includes the form, dosage, side effects, price, and also the interactions that occur in drugs using the MOORA method. The MOORA method can determine decisions from several criteria and is easy to understand in dividing subjective evaluation techniques into weighted criteria with decision weight attributes. The research analysis of this data aims to produce recommendations for toothache drugs. The criteria and weights included are C1 = side (30%), C2 = side effect (25%), C3 = price (20%), C4 = form (15%), C5 = interaction (10%). Of the 25 alternatives used, the results of the study, namely alternative A1 = Aspirin, got the highest-ranking results with an optimization value of 0.2730876006569. This study resulted in a decision using the MOORA method for toothache drug recommendations. So it can be concluded that this topic is very good for research so that we are not wrong in choosing drugs if we are experiencing a toothache.