2021
DOI: 10.34148/teknika.v10i1.328
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of Covid-19 Daily Case in Indonesia Using Long Short Term Memory Method

Abstract: The impact of this pandemic affects various sectors in Indonesia, especially in the economic sector, due to the large-scale social restrictions policy to suppress this case's growth. The details of the growth of Covid-19 in Indonesia are still fluctuating and cannot be fully understood. Recently it has been developed by researchers related to the prediction of Covid-19 cases in various countries. One of them is using a machine learning technique approach to predict cases of daily increase Covid-19. However, th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
5
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 14 publications
0
5
0
Order By: Relevance
“…In essence, the aim of all proposed neural networks is to emphasize the factors that can lead to an increased risk of mortality in a given population, with the aim of preparing effective measures to minimize the number of deaths. [ 14 15 16 17 18 ] Villegas et al . used deep learning techniques to predict COVID-19 mortality among patients.…”
Section: Discussionmentioning
confidence: 99%
“…In essence, the aim of all proposed neural networks is to emphasize the factors that can lead to an increased risk of mortality in a given population, with the aim of preparing effective measures to minimize the number of deaths. [ 14 15 16 17 18 ] Villegas et al . used deep learning techniques to predict COVID-19 mortality among patients.…”
Section: Discussionmentioning
confidence: 99%
“…Processing of data categorized as numerical data is carried out by normalizing the min-max scale. The min-max normalization preprocessing stage is the stage of changing the value of the actual numeric data (units, tens, hundreds, thousands, and so on) to a scaled value between 0 (as the minimum value) to 1 (as the maximum value) [3]. The data normalization process for all columns is intended as data input into the LSTM forecasting engine, which accepts input values with a distance between 0 to 1.…”
Section: B Preprocessingmentioning
confidence: 99%
“…Confirmed statistical data for the accumulation of the Covid-19 cases sourced from (https://corona.riau.go.id/datastatistik/), in Riau Province on June 7, 2021, as many as 63441 cases; on June 14, 2021 it increased to 65883 cases, on June 21, 2021 it increased to 67910, on June 28, 2021 it increased to 69830 cases, and so on. Since the beginning of the outbreak of this pandemic outbreak, it has been observed that case data continues to grow every week until this August [3]. Riau Province is one of the areas in Indonesia which is included in the dangerous zone.…”
Section: Introductionmentioning
confidence: 99%
“…LSTM itself was created by Hochreiter and Schmidhuber in 1997 [13]. Many other studies are also found in the fields of economy [14]- [17], air quality [18], [19], health [20]- [22] and even ecommerce which is currently growing rapidly [23], [24]. Weather and climate predictions have been carried out by several researchers, including Irkhana Indaka Zulfa by predicting the speed and direction of sea surface currents using the LSTM to obtain the smallest MAPE values for the U component and the V component of 14.15% and 8.43% [25].…”
Section: Introductionmentioning
confidence: 99%