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Open access Jurnal 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

DOI
10.22146/ijccs.58298
ISSN
2460-7258, 1978-1520
Published
2020-10-31
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

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.

Keywords

Collaboration network of the authors

22 authors · 63 co-authorship links · 24 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Raharja
  • Satya Wacana Christian University
  • Universitas Catur Insan Cendekia Cirebon
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Qurotul AiniUniversitas Raharja4
Indri HandayaniUniversitas Raharja2
Fitra Putri OgandaUniversitas Raharja2
Sudaryono SudaryonoUniversitas Raharja2
Firman HanafiUniversitas Raharja2
Irwan SembiringSatya Wacana Christian University2
Iwan SetyawanSatya Wacana Christian University2
Adi SetiawanSatya Wacana Christian University2
Sulistio SulistioUniversitas Raharja2
Alfiah KhoirunisaUniversitas Raharja1
Chandra LukitaUniversitas Catur Insan Cendekia Cirebon1
Suwandi SuwandiUniversitas Catur Insan Cendekia Cirebon1
Eka Purnama HarahapUniversitas Raharja1
Chairun NasUniversitas Catur Insan Cendekia Cirebon1
Nuke Puji Lestari SantosoUniversitas Raharja1
Danny ManonggaSatya Wacana Christian University1
Eko SediyonoSatya Wacana Christian University1
Sri Yulianto Joko PrasetyoSatya Wacana Christian University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

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>
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	<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>