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PREDIKSI JUMLAH KASUS BARU COVID-19 DI INDONESIA DENGAN FUZZY TIME SERIES MODEL CHEN

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Coronavirus Diseases 2019 (Covid-19) is a disease caused by a virus that originated in Wuhan, China. This virus infects people rapidly to the country of Indonesia. According to the latest Covid-19 Development Team in Indonesia, as of 09/08/2021, there were around 3,686,740 people who were confirmed positive for Covid-19. With the numbers continuing to grow, predictions of new cases of Covid-19 in Indonesia were made using the time series method. The method used by the researcher is Chen's Fuzzy Time Series. The purpose of the researcher is to forecast, to find out the prediction of the number of new cases of Covid -19 in Indonesia using the FTS Chen method into software. In addition, in order to provide information to predict, so that the government knows and can make decisions. To measure the performance of the method, the Mean Absolute Percentage Error (MAPE) is used as a measure of the level of accuracy of the forecasting performed. The test data used were 363 data with several variations of parameters D_1 and D_2. From the results of the analysis that was tested by the researcher, with 50 trials of parameter input, better accuracy results were obtained at input D_1 = 135135 and D_(2 )= 2000 with MAPE = 35.55006797%.

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Inventory Code Barcode Call Number Location Status
2107004734T61091T610912021Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T610912021
Publisher
Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer.,
Collation
xv, iv-2 hlm. : ilus. ; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.110 7
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Teknik Informatika
Fuzzy Time Series Model Chen
Specific Detail Info
-
Statement of Responsibility
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