Swiss German University Library

  • Home
  • Information
  • News
  • Help
  • Librarian
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
No image available for this title

print

Predictive analysis on employee performance

Tendean, Steven Leonardo - Personal Name; Mashudi, Mulya R. - Personal Name; Budiarto, Eka - Personal Name;

Human resources management have key roles during running some business. Some good invesment in this human resources managements gives some benefit for company to gain more income. Hiring good employee and build some good organization inside company are needed to achieve good running business. The objective in this thesis is to determine some parameters from some performance record in X company that have key roles for human resources management to give some good hiring affecting business income. The Data that used got from the X company from 2014-2018 with around 14 parameters and 10 performance record parameters. From this data the selection of parameters from perfomance record will be applied by using model like Regression Analysis and Statistical Correlation to determine our selection parameters is good and can be applied to X Company for good hiring and running business and validate with Random Forest method.


Availability
M00561 (Rack Thesis)Available
Detail Information
Series Title
-
Call Number
561
Publisher
: Swiss German University., 2019
Collation
-
Language
English
ISBN/ISSN
-
Classification
-
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
MIT
Human resources management
Regression analysis
Performance Record
Random Forest, Statistical Correlation
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

File Attachment
No Data
Comments

You must be logged in to post a comment

Swiss German University Library
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2026 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search