Prediksi Pelaku Perjalanan Luar Negeri Di Masa Pandemi COVID-19 Menggunakan Metode Regresi Linier Sederhana
Abstract
Indonesia is a country that has natural beauty and cultural diversity, making tourists from abroad visit Indonesia. The purpose of tourists coming to Indonesia is to travel with their families. Over time, tourists or foreign travellers have decreased, due to the COVID-19 outbreak in Indonesia that has not ended. As a result of the COVID-19 outbreak, several airports and ports were temporarily closed to avoid the development of an increasingly virulent COVID-19. The purpose of the study was to determine the prediction of the number of arrivals of foreign travelers using the linear regression method. The simple linear regression method is a method consisting of one or more ordinary independent variables with the notation X and one dependent variable represented by the notation Y. The independent variable is the number of foreign travelers to Indonesia as notation X and the dependent variable is the number of COVID-19 cases in Indonesia. Indonesia as Y notation.
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References
M. Antara and M. Vairagya Yogantari, “Keragaman Budaya Indonesia Sumber Inspirasi Inovasi Industri Kreatif,” in Seminar Nasional Desain dan Arsitektur (SENADA) 2018, 2018, pp. 1–24.
M. R. Habibi, “Perencanaan Pelabuhan Kapal Wisata Di Kota Waisai Kepulauan Raja Ampat,” Universitas Darma Persada, 2019.
B. Q. Sadida, “Pesona Pantai Kuta Lombok Sebagai Destinasi Wisata Di Nusa Tenggara Barat,” Domest. Case Study 2018, 2018.
L. D. W. Handayani, B. Tjahjono, and B. H. Trisasongko, “Geomorfologi Gunungapi Guntur (Garut, Jawa Barat) dan Analisis Aliran Lava Menggunakan Data Synthetic Aperture Radar Polarimetri Penuh (Fully Polarimetry),” Institut Pertanian Bogor, 2011.
A. S. N. Putra, “Pesona Gunung Bromo Sebagai Wisata Unggulan Di Pasuruan Jawa Timur,” Domest. Case Study 2018, pp. 1–11, 2018.
Kementerian Pariwisata dan Ekonomi Kreatif, Tren Pariwisata 2021. Jakarta: Celsius Creative Lab.
R. N. Nugraha, T. Yuliantini, and S. Karyatun, “Tren Pariwisata DKI Jakarta,” J. Ris. Manaj. dan Bisnis Fak. Ekon. UNIAT, vol. 4, no. 2, pp. 317–328, 2019.
A. B. Sulistya, “Tren Perkembangan Pariwisata Daerah Istimewa Yogyakarta Periode 2006-2014,” Universitas Sanata Dharma, 2016.
V. Agapa, P. H. N. Merdeka, Q. W. Sari, and S. R. Anggraeni, “Pola Minat Wisata dan Pengetahuan dalam Pengelolaan Sampah di Era Pandemi,” J. Berdaya J. Pengabdi. Kpd. Masy., vol. 1, no. 1, pp. 39–46, 2021.
S. Gössling, D. Scott, and C. M. Hall, “Pandemics, Tourism and Global Change: A Rapid Assessment of COVID-19,” J. Sustain. Tour., vol. 29, no. 1, pp. 1–20, 2020.
N. Al Rahman, “10 Prediksi Tren Wisata Indonesia di 2021, Wisata Alam Jadi Prioritas,” Idntimes.Com. Idntimes.Com, Jakarta, 2021.
T. Kristanto, D. Rahmawati, A. E. Wahyuni, M. Nasrullah, R. A. Fadillah, and A. Amalia, “The Effect of Covid-19 Pandemic on Increasing Rice Tiwul Business Income Using System Dynamic Approach,” in The 3rd International Conference on Vocational Innovation and Applied Sciences (ICVIAS) 2021, 2022, vol. 2022, pp. 17–23.
A. Sadikin and A. Hamidah, “Pembelajaran Daring di Tengah Wabah Covid-19,” Biodik J. Ilm. Pendidik. Biol., vol. 6, no. 2, pp. 214–224, 2020.
T. Kristanto, A. F. Azizah, F. S. Akbar, A. S. Albana, and N. P. Istyanto, “Sosialisasi Pencegahan Penanganan Wabah Covid-19 Terhadap Komunitas Tunarungu Di Kota Surabaya,” Abdidas J. Pengabdi. Masy., vol. 1, no. 2, pp. 43–47, 2020.
E. Putra, “Pengaruh Harga Terhadap Kepuasan Konsumen Pada Citra Swalayan Dengan Variabel Intervening Service Quality,” J. Apresiasi Ekon., vol. 2, no. 2, pp. 89–94, 2018.
P. Katemba and R. K. Djoh, “Prediksi Tingkat Produksi Kopi Menggunakan Regresi Linear,” J. Ilm. Flash Elektro, vol. 3, no. 1, pp. 42–51, 2017.
M. I. A. Imran, “Pengaruh Kepuasan Pelanggan Terhadap Minat Beli Ulang Makanan Di Rumah Makan Ayam Bakar Wong Solo Alauddin Kota Makassar,” J. Profitab. Fak. Ekon. Dan Bisnis, vol. 2, no. 1, pp. 50–64, 2018.
W. M. Baihaqi, M. Dianingrum, and K. A. N. Ramadhan, “Regresi Linier Sederhana Untuk Memprediksi Kunjungan Pasien Di Rumah Sakit Berdasarkan Jenis Layanan Dan Umur Pasien,” J. Simetris, vol. 10, no. 2, pp. 671–680, 2019.
A. Hijriani, K. Muludi, and E. A. Andini, “Implementasi Metode Regresi Linier Sederhana Pada Penyajian Hasil Prediksi Pemakaian Air Bersih PDAM Way Rilau Kota Bandar Lampung Dengan Sistem Informasi Geografis,” J. Inform. Mulawarman, vol. 11, no. 2, 2016.
Halimah, “Pengaruh Brand Image Rokok Dunhill Terhadap Keputusan Pembelian Di Kota Pontianak,” Fak. Ekon. Univ. Muhammadiyah Pontianak, 2015.
Badan Pusat Statistik, “Jumlah Kunjungan Wisatawan Mancanegara per bulan ke Indonesia Menurut Pintu Masuk, 2017 - sekarang (Kunjungan), 2021,” 2021. [Online]. Available: https://www.bps.go.id/indicator/16/1150/2/jumlah-kunjungan-wisatawan-mancanegara-per-bulan-ke-indonesia-menurut-pintu-masuk-2017---sekarang.html.
I. M. Yuliara, Modul Regresi Linier Sederhana. Denpasar: Universitas Udayana, 2016.
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