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Use of Data Warehouse and Data Mining for Academic Data: A Case Study at a National University

International Journal of Cyber and IT Service Management · Vol. 1 No. 2 (2021) · hlm. 206–215

DOI
10.34306/ijcitsm.v1i2.55
ISSN
2808-554X, 2797-1325
Terbit
2021-10-31
Penerbit
Pandawan Sejahtera Indonesia
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0/

Abstrak

If an organisation has full, rapid, exact, and accurate information, it may perform better in terms of evaluation, planning, and decision-making. The essential information can be derived from operational data maintained in an integrated database by a university that already has an information system. This research looks at how to collect operational data into a data warehouse and then apply data mining techniques to analyse the data. This study yielded a comprehensive data warehouse with a web-based information reporting application. Furthermore, data mining techniques are used to analyse the data warehouse that has been created. The result of the application of data mining is the generation of characteristic patterns of students who take certain specialization programs.

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26 penulis · 53 tautan kepenulisan bersama · 30 lintas organisasi

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  • Universitas Raharja
  • Universitas Esa Unggul
  • Universiti Utara Malaysia
  • Veer Narmad South Gujarat University
  • Syarif Hidayatullah State Islamic University Jakarta
  • State University of Semarang
  • Coventry University
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Rekan penulisOrganisasiArtikel bersama
Nuke Puji Lestari SantosoUniversitas Raharja2
Husni Teja SukmanaSyarif Hidayatullah State Islamic University Jakarta1
Marviola Grace HardiniUniversitas Raharja1
Aditya MardiansyahUniversitas Raharja1
Leli LeliUniversiti Utara Malaysia1
Gunawan GunawanState University of Semarang1
Efa Ayu NabilaUniversitas Raharja1
Windy Yestina SariUniversitas Raharja1
Syarief Nur HusinCoventry University1
Amirsyah TambunanAfiliasi tidak diketahui1
Sugeng SantosoUniversitas Raharja1
HenderiAfiliasi tidak diketahui1
Riri SetiawatiUniversitas Raharja1
SaukaniAfiliasi tidak diketahui1
Lista MeriaUniversitas Esa Unggul1
Desy PrastyaniUniversitas Esa Unggul1
Sudaryono SudaryonoUniversitas Banten Jaya1
Lusyani SunaryaPelita Harapan University1
Al HusainUniversitas Raharja1
M Budi DjatmikoAfiliasi tidak diketahui1
Leli NirmalasariUniversiti Utara Malaysia1
Tatik MariyantiUniversitas Trisakti1
Muhammad Hakimi Mohd ShafiaiNational University of Malaysia1

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Sumber metadata: OAI-PMH (metadata jurnal) https://iiast.iaic-publisher.org/ijcitsm/index.php/IJCITSM/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Use of Data Warehouse and Data Mining for Academic Data : A Case Study at a National University</dc:title>
	<dc:creator xml:lang="en">Edastama, Primasatria</dc:creator>
	<dc:creator xml:lang="en">Dudhat, Amitkumar</dc:creator>
	<dc:creator xml:lang="en">Maulani, Giandari</dc:creator>
	<dc:subject xml:lang="en">Data Warehouse, Data Mining, Academic Data.</dc:subject>
	<dc:description xml:lang="en">If an organisation has full, rapid, exact, and accurate information, it may perform better in terms of evaluation, planning, and decision-making. The essential information can be derived from operational data maintained in an integrated database by a university that already has an information system. This research looks at how to collect operational data into a data warehouse and then apply data mining techniques to analyse the data. This study yielded a comprehensive data warehouse with a web-based information reporting application. Furthermore, data mining techniques are used to analyse the data warehouse that has been created. The result of the application of data mining is the generation of characteristic patterns of students who take certain specialization programs.</dc:description>
	<dc:publisher xml:lang="en">Pandawan Sejahtera Indonesia</dc:publisher>
	<dc:date>2021-10-31</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://iiast.iaic-publisher.org/ijcitsm/IJCITSM/article/view/55</dc:identifier>
	<dc:identifier>10.34306/ijcitsm.v1i2.55</dc:identifier>
	<dc:source xml:lang="en">International Journal of Cyber and IT Service Management; Vol. 1 No. 2 (2021): October; 206-215</dc:source>
	<dc:source>2808-554X</dc:source>
	<dc:source>2797-1325</dc:source>
	<dc:source>10.34306/ijcitsm.v1i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://iiast.iaic-publisher.org/ijcitsm/IJCITSM/article/view/55/18</dc:relation>
	<dc:relation>10.34306/ijcitsm.v1i2.55.g18</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2021 Primasatria Edastama, Amitkumar Dudhat, Giandari Maulani.</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0/</dc:rights>
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