Purwati, . (2020) PERAMALAN KUNJUNGAN WISATAWAN MANCANEGARA KE INDONESIA MENGGUNAKAN METODE SUPPORT VECTOR REGRESSION DAN BACKPROPAGATION. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Tourism is one of the important sectors in the growth of Indonesia’s economy. To be able to achieve the target and increase foreign tourist visits to Indonesia it is necessary to plan appropriate promotion and sustainable development that must be in line with the development of foreign touriststo be in target, effective and efficient. In this study forecasting to the level of foreign tourists visiting Indonesia in order to obtain accurate data. Forecasting is done by comparing 3 forecast methods, viz. traditional method, Support Vector Regression (SVR), and Backpropagation Neural Network (BPNN) method. In this research, there are 36 monthly visit data from 2017 to 2020 that are used to forecast. The result of this research indicates that the best forecasting is done by the Support Vector Regression (SVR) method with a MAPE value is 2.5614 % whereas, Backpropagation Neural Network (BPNN) has a MAPE value 31.3777%.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil: 1610312025] [Pembimbing 1: Donny Montreano] [Pembimbing 2: Alina Cynthia Dewi] [Penguji 1: Dr. Ir. Reda Rizal] [Penguji 2: Donny Montreano] |
| Uncontrolled Keywords: | Tourism, Forecasting, Support Vector Regression (SVR), Backpropagation Neural Network. |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Divisions: | Fakultas Teknik > Program Studi Teknik Industri (S1) |
| Depositing User: | Purwati - |
| Date Deposited: | 24 Jun 2021 07:34 |
| Last Modified: | 24 Jun 2021 07:34 |
| URI: | http://repository.upnvj.ac.id/id/eprint/6715 |
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