Rendra Soekarta, Muhammad Yusuf, Muh. Fadli Hasa, Nurul Annisa Basri
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IMPLEMENTASI DEEP LEARNING UNTUK DETEKSI JENIS OBAT MENGGUNAKAN ALGORITMA CNN BERBASIS WEBSITE
Medicine refers to substances or mixtures of materials, including biological products, used to influence or investigate physiological systems with the aim of diagnosing, preventing, curing, restoring, and improving health. There are several issues related to the increasing prevalence of brands and types of drugs on the market, where each brand may have the same or different active ingredients and indications. In the rapidly evolving pharmaceutical environment, the need for automation in drug management is crucial. This is due to various factors, including the increasing volume of drugs, the complexity of pharmaceutical products, and the goal of improving efficiency and accuracy in inventory management. Deep learning plays a key role in meeting these needs. In this study, a system was created with the aim of automatically classifying types of drugs. Deep Learning is a machine learning area that uses artificial neural networks to solve problems with large datasets. The algorithm used in the deep learning system is the Convolutional Neural Network (CNN). The process of classifying the types of drug dosage forms, such as tablets and capsules, involves data collection, data preprocessing, splitting the data into 70