PERBANDINGAN ALGORITMA NEURAL NETWORK DAN K-NEAREST NEIGHBOR UNTUK PREDIKSI PENGUNJUNG DI OBJEK WISATA KABUPATEN GORONTALO
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Institusion
Universitas Muhammadiyah Gorontalo
Author
Gomba, Ridwan Y.
Subject
QA75 Electronic computers. Computer science
Datestamp
2023-07-20 01:44:03
Abstract :
Statistically not yet known and accurate data related to tourist visits in Gorontalo Regency, therefore it can't be determined whether Gorontalo Regency is a Tourist Visiting Area or Popular Tourist Destination Area or not, thus in this research, researchers contributed data on tourist visitors in Gorontalo Regency by use comparison, and K-Nearest Neighbor for Visitors Prediction at Tourism Objects in Gorontalo Regency, from the results of prediction data processing it was found that the Neural Network Algorithm has an RMSE of 0.078 and K-Nearest Neighbor with an RMSE value of 0.083, then the best algorithm for prediction used is Neural Network
Statistically not yet known and accurate data related to tourist visits in Gorontalo Regency, therefore it can't be determined whether Gorontalo Regency is a Tourist Visiting Area or Popular Tourist Destination Area or not, thus in this research, researchers contributed data on tourist visitors in Gorontalo Regency by use comparison, and K-Nearest Neighbor for Visitors Prediction at Tourism Objects in Gorontalo Regency, from the results of prediction data processing it was found that the Neural Network Algorithm has an RMSE of 0.078 and K-Nearest Neighbor with an RMSE value of 0.083, then the best algorithm for prediction used is Neural Network
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