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Home > Volume 1, Number 1, June 2018 > Pranata
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Asep Rusyana
Department of Statistics, Faculty of Mathematics and Natural Sciences, Syiah Kuala University
Jalan Syech Abdurrauf No.3, Kopelma Darussalam, Banda Aceh 23111, Aceh, Indonesia
Email: jda@unsyiah.ac.id
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Penerapan Metode Pemulusan Eksponensial Ganda dan Tripel Untuk Meramalkan Kunjungan Wisatawan Mancanegara ke Indonesia

Aditya Pranata, Muhajir Akbar Hsb, Teuku Akhdansyah, Samsul Anwar

Abstract

ABSTRAK. Penelitian ini bertujuan untuk memprediksi jumlah kunjungan wisatawan asing ke Indonesia pada tahun 2018 dengan menggunakan metode Double Exponential Smoothing dan Triple Exponential Smoothing. Data yang digunakan adalah jumlah kunjungan wisatawan asing ke Indonesia sejak Januari 2008 hingga Desember 2017 yang diperoleh dari Badan Pusat Statistik (BPS) Indonesia. Hasil peramalan dengan menggunakan metode Double Exponential Smoothing menunjukkan bahwa jumlah kunjungan wisatawan asing pada tahun 2018 akan meningkat sebesar 5,49%. Sedangkan berdasarkan metode Triple Exponential Smoothing, diperkirakan jumlah kunjungan wisatawan asing akan meningkat sebesar 6,89%. Dengan demikian, dapat disimpulkan bahwa akan ada peningkatan yang signifikan dalam jumlah kunjungan wisatawan asing ke Indonesia pada tahun 2018.

 

ABSTRACT. This study aims to predict the number of foreign tourist visiting to Indonesia in 2018 using Double Exponential Smoothing and Triple Exponential Smoothing. The data used is the number of foreign tourist visiting to Indonesia since January 2008 to December 2017 that obtained from the Indonesian Central Bureau of Statistics (BPS). The forecasting result using Double Exponential Smoothing method shows that the number of foreign tourist visiting in 2018 will increase by 5.49%. While based on Triple Exponential Smoothing method, it is estimated that the number of foreign tourists visiting will increase by 6.89%. Thus, it can be concluded that there will be a significant increase in the number of foreign tourist visiting to Indonesia in 2018.

 Keywords

Tourist visiting; Multiple exponential smoothing; Triple Exponential Smoothing; Forecasting

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References

Aritara, R. 2011. Analisis Intervensi Fungsi Step Pada Kenaikan Tarif Dasar Listrik (TDL) Terhadap Besarnya Pemakaian Listrik. Skripsi. Universitas Negeri Yogyakarta, Yogyakarta.

Budiarti, L., Tarno, T. dan Warsito, B. 2013. Analisis Intervensi dan Deteksi Outlier Data Wisatawan Domestik. Jurnal Gaussian. 2(1): 39 – 48.

Bowerman, B.L and O’Connell, R.T. 1987. Time Series Forecasting, Unified Concepts and Computer Implementation 2nd ed. Duxbury Press, Boston USA.

Makridakis, S., Wheelwright, S.C. dan McGee, V.E. 1999. Metode dan Aplikasi Peramalan. Jakarta”. Penerbit Binarupa Aksara, Jakarta.

Spillane, J.J. 1987. Ekonomi Pariwisata: Sejarah dan Prospeknya”. Penerbit Kanisius, Jakarta.

Wei, W.W.S. 2006. Time Series Analysis: Univariate and Multivariate Methods 2nd ed. Pearson Education, Inc., London, UK.

DOI: https://doi.org/10.24815/jda.v1i1.11873

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About The Authors

Aditya Pranata
Syiah Kuala University
Indonesia

Department of Statistics

Muhajir Akbar Hsb
Syiah Kuala University
Indonesia

Department of Statistics

Teuku Akhdansyah
Syiah Kuala University
Indonesia

Department of Statistics

Samsul Anwar orcid
Syiah Kuala University
Indonesia

Department of Statistics

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Keywords ARIMA Analisis Regresi Aset Bank Bayesian Biplot Canonical correlation analysis Complete lingkage Computer Network Degree of poverty Development areas Forecasting MANOVA Mean lingkage Model Panel Spasial Multidimensional Nutritonal status Poverty indicators Quality of Service SAR Sensitivitas Software-defined Network
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