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dc.contributor.authorAiny, Sofyani Ramdhatul
dc.date.accessioned2017-08-16T08:42:16Z
dc.date.available2017-08-16T08:42:16Z
dc.date.issued2017-07-22
dc.identifier.citationBadar, Muhammad. 2011. Analisa Strategi Program Visit Lombok-Sumbawa 2012 (Studi Kasus Pada Dinas Kebudayaan dan Pariwisata Provinsi NTB). Thesis. Universitas Indonesia. Jakarta Gitapati, Dolina. 2012. Analisis Kunjungan Wisatawan Objek Wisata Nglimut Kecamatan Limbangan Kabupaten Kendal. Skripsi. Universitas Diponegoro. Semarang Hidayat, Wahyu. 2011. Faktor-Faktor Yang Mempengarhi Kunjungan Wisata Di Taman Nasional Way Kambas Propinsi Lampung. Thesis. Universitas Indonesia. Jakarta Lestari, Novida., Wahyuningsih N. 2012. Peramalan Kunjungan Wisata dengan Pendekatan Model SARIMA (Studi Kasus: Kusuma Agrowisata). Jurnal. Institut Teknologi Sepuluh Nopember. Surabaya Lindberg,K.,Hawkins Donald E. 1995. The Ecotourism Society. Cetakan pertama. Yayasan Alam Mitra Indonesia. Jakarta Maghfiroh, Niswatul. 2012. Peramalan Jumlah Wisatawan di Agrowisata Kusuma Batu Menggunakan Metode Analisis Spektral. Skripsi. Institut Teknologi Sepuluh Nopember. Surabaya Makridakis. 1999. Metode dan aplikasi peramalan. Edisi 2. Binarupa Aksara. Jakarta Munawaroh, Astin N. 2010. Peramalan Jumlah Penumpang pada PT. Angkasa Pura I (Persero) Kantor Cabang Bandar Udara Internasional Adisutjipto Yogyakarta denga Metode Winter's Exponential Smoothing dan Seasonal Arima. Skripsi. Universitas Negeri Yogyakarta Peraturan Daerah Provinsi Nusa Tenggara Barat Nomor 7 Tahun 2013 tentang Rencana Induk Pembangunan Kepariwisataan Daerah Tahun 2013-2028. Dinas Kebudayaan dan Pariwisata Provinsi Nusa Tenggara Barat Rencana Induk Pariwisata Berkelanjutan Pulau Lombok 2015-2019. Badan Perencanaan dan Pembangunan Daerah Provinsi Nusa Tenggara Barat Rosadi. Dedi. 2012. Ekonometrika dan Analisis Runtun Waktu Terapan dengan Eviews. C.V Andi Offset. Yogyakarta Sitohang. Ranto. 2008. Promosi Kepariwisataan dan Peningkatan Jumlah Kunjungan Wisatawan. Skripsi. Fakultas Ilmu Sosial dan Ilmu Politik Universitas Sumatera Utara Spillane, James J. 1987. Ekonomi Pariwisata, Sejarah dan Prospeknya. Kanisius Sejarah Pariwisata NTB. http://blogdinaspariwisata. blogspot.co. id/2014_ 10_01_ archive. html. Diunduh tanggal 8 Desember 2015 pukul 22.25 WIB Tyas, Yuhestike P. 2014. Analisis SARIMA (Seasonal Autoregressive Integrated Moving Average) sebagai Alat Bantu Prediksi Harga Minyak Mentah di Indonesia Menggunakan Backpropagation . Skripsi. UIN Sunan Kalijaga. Yogyakarta Undang - Undang Republik Indonesia Nomor 10 Tahun 2009 Tentang Kepariwisataan Yoeti, Oka A. 1996. Pemasaran Wisata. Angkasa. Bandungin_ID
dc.identifier.issn2460-0784
dc.identifier.urihttp://hdl.handle.net/11617/9253
dc.description.abstractTourism is an industry sector that has the potential to be developed to the economy of a region. With the development of the economy of an area with the increasing number of visitors in the area, Central Lombok is one of the existing districts of Lombok island which has a quite varied tourist attraction ranging from coastal tourism, waterfalls, the use of culture to. The purpose of this study aims to determine the best SARIMA model for forecasting the number of foreign tourists visit in Central Lombok Regency using SARIMA method and to know the forecasting for the number of foreign tourists visit in Central Lombok Regency using SARIMA (Seasonal Autoreggresive Integrated Moving Average) method. The benefit of this study is to predict the number of tourists coming to Central Lombok to improve services and provide decision support methods, including costing and also for services. In this research, the researcher uses secondary data obtained from the cultural and tourism office and Central Lombok BPS in 2015. This research uses SARIMA (Seasonal Autoreggresive Integrated Moving Average) method as the development of ARIMA method where the data used in this research is data from 2010 to 2015 The results obtained that the data of foreign tourists visiting the district of Central Lombok contain trend patterns that continue to increase every year. Although there are seasonal peak season differences from year to year, there is a tendency to increase the number of tourists each year. The best model is SARIMA (2,1, 3) (1, 1, 0) ^12.in_ID
dc.language.isoidin_ID
dc.publisherMuhammadiyah University Pressin_ID
dc.subjectVisitsin_ID
dc.subjectNumber of Foreign Travelersin_ID
dc.subjectCentral Lombokin_ID
dc.subjectSARIMA (Seasonal Autoreggresive Integrated Moving Average)in_ID
dc.titlePeramalan Jumlah Kunjungan Wisatawan Mancanegara di Kabupaten Lombok Tengah pada Tahun 2010-2015 Menggunakan Metode Sarima (Seasonal Autoregressive Integrated Moving Average )in_ID
dc.typeArticlein_ID


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