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SINTA 2
The Strategy of Enhancing Employee Reward Using TOPSIS Method as a Decision Support System
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 14 No. 4 (2020) · pp. 387–396
ISSN 2460-7258, 1978-1520
Published 2020-10-31
Publisher IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language eng
Abstract
Giving rewards for good performance and achievement of tasks needs to be done as a form of recognition and appreciation by the organization/institution to employees, as well as being part of the process of achieving organizational goals. This study aims to develop a Decision Support System that uses the Technique for Order of Preference by Similarity (TOPSIS) method with the PHP programming language to select reward recipients at University. The data used came from 2 groups, namely educational staff (lecturers) and non-educative staff (employees). Determination criteria applied to the educative group are 10 things, namely: tenure, DP3 value, the value on the percentage of work attendance, value on the percentage of teaching attendance, value on lecturer functional position, value on research implementation, the value on implementation of community service, value on the results of the questionnaire by students, the value of employment status, and the value of sanctions. There are 5 determinant criteria used in the non-educative group, namely: tenure, DP3 value, percentage of work attendance, the value of employment status, and value of sanctions. The results of this study are in the form of an information system program as a decision-making tool for the process of selecting reward recipient employees.
Collaboration network of the authors
22 authors ·
63 co-authorship links
· 24 across different organisations
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Universitas Raharja Satya Wacana Christian University Universitas Catur Insan Cendekia Cirebon
Different organisations
Same organisation
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Metadata source: OAI-PMH (metadata jurnal) https://journal.ugm.ac.id/ijccs/oai,
first harvested 26 Okt 2026,
last seen 26 Okt 2026.
Original metadata (oai_dc)
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<dc:title xml:lang="en-US">The Strategy of Enhancing Employee Reward Using TOPSIS Method as a Decision Support System</dc:title>
<dc:creator>Rahardja, Untung</dc:creator>
<dc:creator>Lutfiani, Ninda</dc:creator>
<dc:creator>Sudaryono, Sudaryono</dc:creator>
<dc:creator>Rochmawati, Rochmawati</dc:creator>
<dc:subject xml:lang="en-US">Computer Science</dc:subject>
<dc:subject xml:lang="en-US">TOPSIS Method, Employee; Reward; Decision Support System</dc:subject>
<dc:description xml:lang="en-US"> Giving rewards for good performance and achievement of tasks needs to be done as a form of recognition and appreciation by the organization/institution to employees, as well as being part of the process of achieving organizational goals. This study aims to develop a Decision Support System that uses the Technique for Order of Preference by Similarity (TOPSIS) method with the PHP programming language to select reward recipients at University. The data used came from 2 groups, namely educational staff (lecturers) and non-educative staff (employees). Determination criteria applied to the educative group are 10 things, namely: tenure, DP3 value, the value on the percentage of work attendance, value on the percentage of teaching attendance, value on lecturer functional position, value on research implementation, the value on implementation of community service, value on the results of the questionnaire by students, the value of employment status, and the value of sanctions. There are 5 determinant criteria used in the non-educative group, namely: tenure, DP3 value, percentage of work attendance, the value of employment status, and value of sanctions. The results of this study are in the form of an information system program as a decision-making tool for the process of selecting reward recipient employees.</dc:description>
<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
<dc:contributor xml:lang="en-US"></dc:contributor>
<dc:date>2020-10-31</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en-US"></dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/58298</dc:identifier>
<dc:identifier>10.22146/ijccs.58298</dc:identifier>
<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 14, No 4 (2020): October; 387-396</dc:source>
<dc:source>2460-7258</dc:source>
<dc:source>1978-1520</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/58298/29700</dc:relation>
<dc:rights xml:lang="en-US">Copyright (c) 2020 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)</dc:rights>
<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>
Citations and indexing
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23 citations
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8 citations
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Cite this article
APA 7
Rahardja, U., Lutfiani, N., Sudaryono, S., & Rochmawati, R. (2020). The Strategy of Enhancing Employee Reward Using TOPSIS Method as a Decision Support System. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 14(4), 387–396. https://doi.org/10.22146/ijccs.58298
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IEEE
U. Rahardja, N. Lutfiani, S. Sudaryono, and R. Rochmawati, “The Strategy of Enhancing Employee Reward Using TOPSIS Method as a Decision Support System,” IJCCS (Indonesian Journal of Computing and Cybernetics Systems), vol. 14, no. 4, pp. 387–396, 2020, doi: 10.22146/ijccs.58298.
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