Combination of SOM-RBF for drought code prediction using rainfall and air temperature data
This study aims to predict Drought Code (DC) in Kabupaten Kubu Raya using a combination of SOM-RBF. The final weight value of SOM was used as a center on the RBF network. The input data variables are rainfall data and air temperature data for three days with three binary outputs to predict DC values...
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| Format: | Article |
| Language: | English |
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Diponegoro University
2020-01-01
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| Series: | Jurnal Teknologi dan Sistem Komputer |
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| Online Access: | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13265 |
| _version_ | 1797282498724495360 |
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| author | Dwi Marisa Midyanti |
| author_facet | Dwi Marisa Midyanti |
| author_sort | Dwi Marisa Midyanti |
| collection | DOAJ |
| description | This study aims to predict Drought Code (DC) in Kabupaten Kubu Raya using a combination of SOM-RBF. The final weight value of SOM was used as a center on the RBF network. The input data variables are rainfall data and air temperature data for three days with three binary outputs to predict DC values. This study also observed the effect of the number of neurons, learning rates, and the number of iterations on the results of the SOM-RBF network training. The smallest MSE of training result from the SOM-RBF network was 0.159933 using 65 neurons in the hidden layer, learning rate 0.007, and epoch 45000. The detection accuracy of SOM-RBF was 91.34 % from 245 test data. |
| first_indexed | 2024-03-07T17:13:55Z |
| format | Article |
| id | doaj.art-78ce60950fb44d249ad79a2e3ed8bba4 |
| institution | Directory Open Access Journal |
| issn | 2338-0403 |
| language | English |
| last_indexed | 2024-03-07T17:13:55Z |
| publishDate | 2020-01-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | Jurnal Teknologi dan Sistem Komputer |
| spelling | doaj.art-78ce60950fb44d249ad79a2e3ed8bba42024-03-02T23:51:26ZengDiponegoro UniversityJurnal Teknologi dan Sistem Komputer2338-04032020-01-0181646810.14710/jtsiskom.8.1.2020.64-6812806Combination of SOM-RBF for drought code prediction using rainfall and air temperature dataDwi Marisa Midyanti0Program Studi Rekayasa Sistem Komputer, Universitas Tanjung Pura, IndonesiaThis study aims to predict Drought Code (DC) in Kabupaten Kubu Raya using a combination of SOM-RBF. The final weight value of SOM was used as a center on the RBF network. The input data variables are rainfall data and air temperature data for three days with three binary outputs to predict DC values. This study also observed the effect of the number of neurons, learning rates, and the number of iterations on the results of the SOM-RBF network training. The smallest MSE of training result from the SOM-RBF network was 0.159933 using 65 neurons in the hidden layer, learning rate 0.007, and epoch 45000. The detection accuracy of SOM-RBF was 91.34 % from 245 test data.https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13265prediksi drought codeself organizing mapradial basis function |
| spellingShingle | Dwi Marisa Midyanti Combination of SOM-RBF for drought code prediction using rainfall and air temperature data Jurnal Teknologi dan Sistem Komputer prediksi drought code self organizing map radial basis function |
| title | Combination of SOM-RBF for drought code prediction using rainfall and air temperature data |
| title_full | Combination of SOM-RBF for drought code prediction using rainfall and air temperature data |
| title_fullStr | Combination of SOM-RBF for drought code prediction using rainfall and air temperature data |
| title_full_unstemmed | Combination of SOM-RBF for drought code prediction using rainfall and air temperature data |
| title_short | Combination of SOM-RBF for drought code prediction using rainfall and air temperature data |
| title_sort | combination of som rbf for drought code prediction using rainfall and air temperature data |
| topic | prediksi drought code self organizing map radial basis function |
| url | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13265 |
| work_keys_str_mv | AT dwimarisamidyanti combinationofsomrbffordroughtcodepredictionusingrainfallandairtemperaturedata |