International Transactions on Data Science, Engineering and Technology
Vol. 2, No. 1, May 2019
Employee Enrollment Decision Support System Using Analytical Hierarchy Process and Promethee Methods | Original Paper
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a Universitas Multimedia Nusantara, Tangerang, Indonesia b Universitas Multimedia Nusantara, Tangerang, Indonesia c Universitas Multimedia Nusantara, Tangerang, Indonesia
Mr. Seng Hansun
Corresponding Author Affiliation: Universitas Multimedia Nusantara, Tangerang, Indonesia Tel: +622154220808 E-mail: senghansun@gmail.com Mr. Seng Hansun's publications in ICSES
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This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publicationcall_made |
Retraction Note by the Editor-in-Chief
Highlights and Novelties
1- We built an employee enrollment DSS using the combination of AHP and Promethee methods.
2- The study case was taken based on the real problems faced by PT Sumber Berkat Anugerah.
3- Usability testing was conducted by using USE questionnaire to the real client, i.e. HRD department personnel of PT Sumber Berkat Anugerah.
Manuscript Abstract
Perseroan Terbatas (PT) Sumber Berkat Anugerah is one of the companies engaged in spare parts, vehicle accessories, home audio, and others. The stages of prospective employees’ enrollment in this company are still done manually, which causes many problems, such as the long processing time for the selection and the occurrence of human error during data saving. Based on the problems that occur, the Human Resources Department (HRD) wants a decision support system for new employees’ enrollment, which is expected to solve the problems that occur and produce a better and more accurate calculation result. This system was designed and built using the Analytical Hierarchy Process (AHP) method, which has advantage in determining priority weights and Promethee method that has advantage in the alternative rating process. The result of this system is the prospective employees ranking sorted from the highest to the lowest. The system has been built and tested by comparing the manual calculation results with the calculation results generated by the system. Usability testing on the system was done using the Usefulness, Satisfaction, and Ease of use (USE) Questionnaire and it can be concluded that the results of overall system user satisfaction have reached 85.2%.
Keywords
Analytical Hierarchy Process Decision Support System Employee Enrollment Promethee
Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
Cite this manuscript as
Seng Hansun, Indah Kurniati, Farica Perdana Putri, "Employee Enrollment Decision Support System Using Analytical Hierarchy Process and Promethee Methods," International Transactions on Data Science, Engineering and Technology, vol. 2, no. 1, pp. 1-8, May 2019.
For External Scientific Databeses
--BibTex--
@article{al._283 title="Employee Enrollment Decision Support System Using Analytical Hierarchy Process and Promethee Methods", author="Seng Hansun", author="Indah Kurniati", author="Farica Perdana Putri", journal="International Transactions on Data Science, Engineering and Technology (ITDSET)", volume="2", number="1", pages="1-8", year="2019", month="05", day="30", publisher= "International Computer Science and Engineering Society (ICSES)", doi="", url="http://www.i-cses.com/files/download.php?pID=283"}
--EndNote--
%0 Journal Article %T Employee Enrollment Decision Support System Using Analytical Hierarchy Process and Promethee Methods %A Seng Hansun %A Indah Kurniati %A Farica Perdana Putri %J International Transactions on Data Science, Engineering and Technology (ITDSET) %V 2 %N 1 %P 1-2019 %D 2019-05-30 %I International Computer Science and Engineering Society (ICSES) %U http://www.i-cses.com/files/download.php?pID=283 %8 2019-05-30 %R %@ 2467-297X
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