Susanto, Fajar Annas and Anshori, Mohamad Yusak and Rahmalia, Dinita and Oktafianto, Kresna and Adzkiya, Dieky and Katias, Puspandam and Herlambang, Teguh (2022) Estimation of Closed Hotels and Restaurants in Jakarta as Impact of Corona Virus Disease (Covid-19) Spread Using Backpropagation Neural Network. Nonlinear Dynamics and Systems Theory: An International Journal of Research and Surveys, 22 (4). pp. 457-467. ISSN 1813-7385
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Abstract
Corona Virus Disease (Covid-19) has become the focus of world attention because it attacked many people in the world and many people died. The effect of Covid-19 is not only on the health of people, it is negatively affecting all aspects of life including the social area, economy, sport, and tourism. Hotels and restaurants that are an important part of the tourism industry have got a big negative impact from Covid-19. Since this disease has spreaded in many countries including Indonesia, the Indonesian goverment adopted regulations to close the hotels and restaurants to prevent the spread of Covid-19. This research comes from the need to find out the estimated number of hotels and restaurants to be closed due to Covid-19. The estimation method will involve the Backpropagation Neural Network. The backpropagation Neural Network can make estimation of the number of closed hotels and restaurants approaching the target. Simulations are applied by splitting the dataset into training data (80%) and testing data (20%). From Backpropagation Neural Network simulations, the Backpropagation Neural Network can make estimation of the number of closed hotels and restaurants in training data with optimal RMSE being 9.2422 and testing data with optimal RMSE being 8.9419.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | backpropagation; neural network; estimation; Covid-19. |
| Subjects: | Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources |
| Divisions: | Faculty of Technique > Program Study of Information Systems |
| Depositing User: | Mr. . Adit |
| Date Deposited: | 11 Nov 2022 08:12 |
| Last Modified: | 11 Nov 2022 08:12 |
| URI: | http://repository.unusa.ac.id/id/eprint/9040 |
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