IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/n9wxu.html
   My bibliography  Save this paper

Menghitung Penjualan Sepeda Motor Domestic Tahun 2019 Menggunakan Metode Simple Moving Average

Author

Listed:
  • Alfianto, Rendy
  • Sary, Indah Mustika
  • Azhari, Ade

Abstract

Knowing how many products are sold in a few months or years is helpful to know if the products sold by the company are experiencing a downturn or decline. In helping to know how many products will be sold in the future can use the Moving Average method, here we want to forecast motorcycle sales with moving average method and get different results with what has been predicted. These different results are commonly referred to as Margin of Error.

Suggested Citation

  • Alfianto, Rendy & Sary, Indah Mustika & Azhari, Ade, 2020. "Menghitung Penjualan Sepeda Motor Domestic Tahun 2019 Menggunakan Metode Simple Moving Average," OSF Preprints n9wxu, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:n9wxu
    DOI: 10.31219/osf.io/n9wxu
    as

    Download full text from publisher

    File URL: https://osf.io/download/5fe17aeec05e2d001c1c6221/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/n9wxu?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:n9wxu. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.