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Lembaga Penelitian Pengabdian Masyarakat Universitas Nusa Mandiri
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IMPLEMENTATION OF SUPPORT VECTOR REGRESSION IN THE PREDICTION OF THE NUMBER OF TOURIST VISITS TO THE PROVINCE WEST NUSA TENGGARA (NTB)
Keywords:
NTB Tourism, Support vector regression
Abstract
Abstract — Indonesia has a variety of interesting tourist destinations to visit in each region. One area that is used as a favorite tourist destination is the Province of West Nusa Tenggara (NTB). Data The number of tourists visiting the NTB province from 2014 to 2020 tends to change based on data obtained from the Website of the NTB Provincial Tourism Office. The data on the number of visitors will continue to change, even if there is a possibility that it will increase. This can lead to the unpreparedness of the government and other tourism actors in providing the facilities and infrastructure needed by visitors when there is an increase in the number of tourist visits coming to NTB. Therefore, it is necessary to predict the number of tourist visits to NTB with accurate results. In this study, predictions of the number of tourist visits to the Province of NTB were made using the support vector regression method. This research resulted in an application to predict the number of tourist visits to NTB based on Event, Month, and Year. so that it can provide predictive results that are close to the actual value under normal conditions. The data used in this study is data on the number of tourist visits in 2017-2021 and events held in 2017-2021.
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References
Furi, R. P., Si, M., & Saepudin, D. (2015). Prediksi Financial Time Series Menggunakan Independent Component Analysis dan Support Vector Regression Studi Kasus : IHSG dan JII. ISSN : 2355-9365 E-Proceeding of Engineering :, 2(2), 1–10.
Kincowati, T., Furqon, M. T., & Rahayudi, B. (2019). Prediksi Jumlah Kunjungan Wisatawan Mancanegara Ke Indonesia Menggunakan Metode Average-Based Fuzzy Time Series Models. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(6), 5250–5256.
Lestari, K. T. N., Albar, M. A., & Afwani, R. (2019). Penerapan Metode Backpropagation Dalam Memprediksi Jumlah Kunjungan Wisatawan Ke Provinsi Nusa Tenggara Barat (NTB). Journal of Computer Science and Informatics Engineering (J-Cosine), 3(1), 39–48. https://doi.org/10.29303/jcosine.v3i1.236
Maulana, N. D., Setiawan, B. D., & Dewi, C. (2019). Implementasi Metode Support Vector Regression (SVR) Dalam Peramalan Penjualan Roti (Studi Kasus : Harum Bakery). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(3), 2986–2995.
Meimela, A. (2021). Prediksi Jumlah Kunjungan Wisatawan Mancanegara ke Indonesia. Media Wisata, 19(1), 34–41. https://doi.org/10.36276/mws.v19i1.64
Prakoso, B. H. (2019). Implementasi Support Vector Regression pada Prediksi Inflasi Indeks Harga Konsumen. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 19(1), 155–162. https://doi.org/10.30812/matrik.v19i1.511
Putri, W. L., Naja, F., Pratama, T., & Widodo, E. (2021). Prediksi Kunjungan Wisatawan Mancanegara Ke Dki Jakarta Pada Masa Covid-19 Menggunakan Metode Des Holt. Journal of Mathematics Education and Science, 4(2), 81–90. https://doi.org/10.32665/james.v4i2.243
Putriwijaya, Novi Nur & Wijayaningrum, V. N. (2019). Support Vector Regression Untuk Memprediksi Jumlah Kunjungan Wisatawan Mancanegara di Pulau Bali. Machine Learning: Methods and Applications to Brain Disorders, 11(January), 123–140.
Rizal, A. A., & Hartati, S. (2017). Prediksi Kunjungan Wisatawan di Pulau Lombok dengan Menerapkan Recurrent Neural Network dengan Algoritma Training Extended Kalman Filter. Jurnal Ilmiah ILMU KOMPUTER, X(1), 7–18.
Surtiningsih, L., Furqon, M. T., & Adinugroho, S. (2018). Prediksi Jumlah Kunjungan Wisatawan Mancanegara Ke Bali Menggunakan Support Vector Regression dengan Algoritma Genetika. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(8), 2578–2586. Retrieved from http://j-ptiik.ub.ac.id
http://www.disbudpar.ntbprov.go.i/
Kincowati, T., Furqon, M. T., & Rahayudi, B. (2019). Prediksi Jumlah Kunjungan Wisatawan Mancanegara Ke Indonesia Menggunakan Metode Average-Based Fuzzy Time Series Models. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(6), 5250–5256.
Lestari, K. T. N., Albar, M. A., & Afwani, R. (2019). Penerapan Metode Backpropagation Dalam Memprediksi Jumlah Kunjungan Wisatawan Ke Provinsi Nusa Tenggara Barat (NTB). Journal of Computer Science and Informatics Engineering (J-Cosine), 3(1), 39–48. https://doi.org/10.29303/jcosine.v3i1.236
Maulana, N. D., Setiawan, B. D., & Dewi, C. (2019). Implementasi Metode Support Vector Regression (SVR) Dalam Peramalan Penjualan Roti (Studi Kasus : Harum Bakery). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(3), 2986–2995.
Meimela, A. (2021). Prediksi Jumlah Kunjungan Wisatawan Mancanegara ke Indonesia. Media Wisata, 19(1), 34–41. https://doi.org/10.36276/mws.v19i1.64
Prakoso, B. H. (2019). Implementasi Support Vector Regression pada Prediksi Inflasi Indeks Harga Konsumen. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 19(1), 155–162. https://doi.org/10.30812/matrik.v19i1.511
Putri, W. L., Naja, F., Pratama, T., & Widodo, E. (2021). Prediksi Kunjungan Wisatawan Mancanegara Ke Dki Jakarta Pada Masa Covid-19 Menggunakan Metode Des Holt. Journal of Mathematics Education and Science, 4(2), 81–90. https://doi.org/10.32665/james.v4i2.243
Putriwijaya, Novi Nur & Wijayaningrum, V. N. (2019). Support Vector Regression Untuk Memprediksi Jumlah Kunjungan Wisatawan Mancanegara di Pulau Bali. Machine Learning: Methods and Applications to Brain Disorders, 11(January), 123–140.
Rizal, A. A., & Hartati, S. (2017). Prediksi Kunjungan Wisatawan di Pulau Lombok dengan Menerapkan Recurrent Neural Network dengan Algoritma Training Extended Kalman Filter. Jurnal Ilmiah ILMU KOMPUTER, X(1), 7–18.
Surtiningsih, L., Furqon, M. T., & Adinugroho, S. (2018). Prediksi Jumlah Kunjungan Wisatawan Mancanegara Ke Bali Menggunakan Support Vector Regression dengan Algoritma Genetika. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(8), 2578–2586. Retrieved from http://j-ptiik.ub.ac.id
http://www.disbudpar.ntbprov.go.i/
Published
2022-09-13
How to Cite
Zaeniah, Z. (2022). IMPLEMENTATION OF SUPPORT VECTOR REGRESSION IN THE PREDICTION OF THE NUMBER OF TOURIST VISITS TO THE PROVINCE WEST NUSA TENGGARA (NTB). Jurnal Pilar Nusa Mandiri, 18(2), 117-122. https://doi.org/10.33480/pilar.v18i2.3454
Section
Articles
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