IDEAS home Printed from https://ideas.repec.org/p/osf/inarxi/vm32c.html
   My bibliography  Save this paper

Pengaruh Pelatihan Terhadap Kinerja Karyawan Pada Hotel Santika Premiere Dyandra Medan

Author

Listed:
  • Sukma, STIM

Abstract

The purpose of this research is to find out if the impact of training towards employees’ performance at Santika Premiere Dyandra Hotel Medan. The samples of this research are 38 Front of House employees. Sampling technique is incidental sampling which is a sample determination technique based on chance, i.e. anyone whom are accidentally/ incidentally met by the researcher can be used as a sample, when viewed as appropriate to be data source. Data analysis using quantitative descriptive with the model of Simple Regression test analysis, hypothesis test using coefficient of determination test (R2) and partial test (t test), while data processing using SPSS 2.2. Based on Partial Test (t test), the result of this research shows that partially, training has positive effects towards Front of House employees’ performance at Santika Premiere Dyandra Hotel Medan. However, based on Coefficient of Determination test (R2), training variable has a little impact towards performance variable at Santika Premiere Dyandra Hotel Medan. This is proven by the coefficient determination value of 0,092.

Suggested Citation

  • Sukma, STIM, 2018. "Pengaruh Pelatihan Terhadap Kinerja Karyawan Pada Hotel Santika Premiere Dyandra Medan," INA-Rxiv vm32c, Center for Open Science.
    • Handle: RePEc:osf:inarxi:vm32c
    DOI: 10.31219/osf.io/vm32c
    as

    Download full text from publisher

    File URL: https://osf.io/download/5afe465acaf5d000107d5acc/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/vm32c?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:inarxi:vm32c. 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://ios.io/preprints/inarxiv/discover .

    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.