IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/k43we.html
   My bibliography  Save this paper

Analisis Efektivitas Penerapan Tally Count Pada Aplikasi Java Support Di Departemen Warehouse Cv. Java (Jati Vision Raya) Cirebon Dengan Sistem Hci

Author

Listed:
  • Riyanto, Aris
  • Julfah, Aldani

Abstract

This research is about Analysis of the Effectiveness of Tally Count Application in Java Support Applications in Warehouse Department CV. JAVA (Jati Vision Raya) Cirebon uses HCI system. This study aims to determine the results of analysis, obstacles and solutions regarding the application of tally count in java support applications using the HCI system. In addition, this study also aims to provide input for companies and add insight into literature at Politeknik LP3I Cirebon. The research method used is a qualitative method with a descriptive approach, where the author describes the results of observations and analyzes data obtained in the field using the HCI system analysis model. Data collection techniques used in this study are interviews, literature studies, and observations carried out directly in CV. JAVA. After analyzing and discussing the problem, the author concludes that in the application of tally count in the java support application there are still some obstacles in its application but the HCI system has been implemented well so that the application of tally count in the java support application in the warehouse department CV. JAVA (Jati Vision Raya) is already effective.

Suggested Citation

  • Riyanto, Aris & Julfah, Aldani, 2023. "Analisis Efektivitas Penerapan Tally Count Pada Aplikasi Java Support Di Departemen Warehouse Cv. Java (Jati Vision Raya) Cirebon Dengan Sistem Hci," OSF Preprints k43we, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:k43we
    DOI: 10.31219/osf.io/k43we
    as

    Download full text from publisher

    File URL: https://osf.io/download/64d1da8e2fe496465761b206/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/k43we?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:k43we. 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.