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All Journal Jurnal Ilmiah Sains dan Teknologi
Renaldi Renaldi
Universitas Banten Jaya
Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Physics

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IDETIFIKASI UKURAN PAKAIAN BERBASIS IMAGE PROCESSING Widyawati Widyawati; Ahmad Fatoni; Renaldi Renaldi
Jurnal Ilmiah Sains dan Teknologi Vol 5 No 1 (2021): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.819 KB) | DOI: 10.47080/saintek.v5i1.1200

Abstract

Data becomes a valuable asset today. With so much data, current technology can open up the possibility to process and make predictions. Machine Learning (ML) is part of Artificial Intelligence (AI) which has become an important tool in software systems in optimizing running systems. Image Classification is one of the topics of Machine Learning that is widely used in machine learning. The application of image classification on the server-side is often done in every complex classification problem because it requires large computing power. This application uses the ml5.js library as a javascript library to process data in machine learning. The application of machine learning for clothing measurement allows users to make it easier to determine the size of clothes at the Reevant Supply IND store. Meanwhile, to support the use of machine learning on the website, a pre-trained model is needed. This study examines neural network settings such as epoch and optimal learning rate. In addition, to prove that you can be superior in training time and loss function values. The results of this study prove that it is easier for users to determine the size of clothes purchased at the Reevant Supply IND store much faster than prior consultation with the store admin
Co-Authors Ahmad Fatoni Widyawati, Widyawati