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Peramalan Jumlah Penumpang di Bandar Udara Soekarno-Hatta dengan menggunakan Pemulusan Eksponensial Tripel tipe Holt-Winter dan tipe Brown Rahmah Aziz; Helma Helma
Journal of Mathematics UNP Vol 7, No 3 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.558 KB) | DOI: 10.24036/unpjomath.v7i3.12524

Abstract

The main airports in Indonesia, including at Soekarno-Hatta, are deserted, due to government policies to overcome the Covid-19 disease outbreak. The number of passengers has fallen drastically, every month the plane is erratic in carrying passengers. With a pandemic like this, the airline must make a strategy to avoid losses. To overcome this problem, the purpose of this study is to predict the number of passengers at Soekarno-Hatta Airport during the pandemic using triple exponential smoothing of Brown type and Holt-Winter type. In the triple exponential smoothing method, trend analysis is carried out and followed by smoothing three times.