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IMPLEMENTATION OF GENETIC ALGORITHM FOR STUDENT PLACEMENT PROCESS OF COMMUNITY DEVELOPMENT PROGRAM IN UNIVERSITAS GADJAH MADA

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 6 No. 2 (2013) · pp. 70–75

DOI
10.21609/jiki.v6i2.226
ISSN
2502-9274, 2088-7051
Published
2013-11-28
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

Community Development Program (CDP) is a required subject in Universitas Gadjah Mada for undergraduate students to earn a bachelor’s degree. One of the big problem in CDP implementation is student placement process into available thematic units. Each unit as much as possible filled by students which have balanced composition based on specified criteria. Balances in gender ratio and clusters composition are needed to have an objective assigned team students in a unit. In this paper, a genetic algorithm is proposed to solve this placement problem. The results of this paper is a simulation in CDP student placement process which using genetic algorithm to produce recommendation units which have good composition.

Keywords

Collaboration network of the authors

4 authors · 4 co-authorship links

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  • State University of Semarang
  • Universitas Gadjah Mada
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Sri HaryaniState University of Semarang1
Siti Sundari MiswadiState University of Semarang1

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://jiki.cs.ui.ac.id/index.php/jiki/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">IMPLEMENTATION OF GENETIC ALGORITHM FOR STUDENT PLACEMENT PROCESS OF COMMUNITY DEVELOPMENT PROGRAM IN UNIVERSITAS GADJAH MADA</dc:title>
	<dc:creator>Arfandi, Nanang</dc:creator>
	<dc:creator>., Faizah</dc:creator>
	<dc:subject xml:lang="en-US">Community Development Program</dc:subject>
	<dc:subject xml:lang="en-US">criteria</dc:subject>
	<dc:subject xml:lang="en-US">genetic algorithm.</dc:subject>
	<dc:description xml:lang="en-US">Community Development Program (CDP) is a required subject in Universitas Gadjah Mada for undergraduate students to earn a bachelor’s degree. One of the big problem in CDP implementation is student placement process into available thematic units. Each unit as much as possible filled by students which have balanced composition based on specified criteria. Balances in gender ratio and clusters composition are needed to have an objective assigned team students in a unit. In this paper, a genetic algorithm is proposed to solve this placement problem. The results of this paper is a simulation in CDP student placement process which using genetic algorithm to produce recommendation units which have good composition.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2013-11-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/226</dc:identifier>
	<dc:identifier>10.21609/jiki.v6i2.226</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 6 No. 2 (2013): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 70-75</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v6i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/226/306</dc:relation>
</oai_dc:dc>