It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
This study aims to predict Covid-19 data in Indonesia using LSTM machines learning and GRU using python. As a comparison, two datasets from other countries which have strong correlation were used. The dataset is of the ourworldindata.org page. The results of the LSTM model with epoch 15, RMSE 68,417 require rapid processing time and better accuracy than GRU with epoch 400, RMSE 90,173. The results from Covid-19 data processing in Indonesia have a robust correlation with Covid-19 data in Azerbaijan, Bangladesh, Bhutan, Cape Verde, Curacao, Slovenia, South Africa, and Thailand. The epoch characteristics of LSTM and GRU are a challenge since the amount of Covid-19 data is relatively minor.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Information Systems Department, Institut Teknologi dan Bisnis Ahmad Dahlan, Indonesia
2 Information Systems Department, Gunadarma University, Indonesia
3 Politeknik Penerbangan Indonesia Curug, Indonesia
4 Managemen Department, Institut Teknologi dan Bisnis Ahmad Dahlan, Indonesia
5 Information Systems Department, STMIK Jakarta STI&K, Indonesia