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Student Academic Mark Clustering Analysis and Usability Scoring on Dashboard Development Using K-Means Algorithm and System Usability Scale

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 14 No. 2 (2021) · pp. 137–143

DOI
10.21609/jiki.v14i2.980
ISSN
2502-9274, 2088-7051
Published
2021-07-04
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

Learning activities are one of the processes of delivering information or messages from teachers to students. SMPN 4 Sidoarjo is a State Junior High School (JHS) located in Sidoarjo Regency. During the learning process, the collected academic score data were still not well organized by teachers and school principals in monitoring student learning performance. The score data is from Bahasa Indonesia subject from a teacher with 222 data included at 2019/2020 school year. The method used in student clustering is K-Means. The number of clusters are determined using the elbow method and displayed in graphic form. Clustering result can be used as a reference for teachers in determining study groups and determining the best treatment for each cluster. The best clustering results are proven by validation score using Davies-Bouldin Index, Silhouette Width, and Calinski-Harabasz Index. Three clusters were obtained for each class level of data, while the cluster ranges from two to five for the data for each study group. The dashboard is used in order to visualize the clustering result. Usability testing using System Usability Scale (SUS) has a score value of 87.5, which means that the dashboard can be accepted by SMPN 4 Sidoarjo.

Keywords

Collaboration network of the authors

40 authors · 93 co-authorship links · 42 across different organisations · showing the 40 most connected

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  • University of Brawijaya
  • National Research and Innovation Agency
  • Indonesian Institute of Sciences
  • Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW
  • Institut Teknologi Sepuluh Nopember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Hilman Ferdinandus PardedeNational Research and Innovation Agency6
Tibyani TibyaniUniversity of Brawijaya4
Mochammad IzzuddinUniversity of Brawijaya3
Sutrisno .Affiliation unknown2
Wahyu Teja KusumaInstitut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW2
Herman TolleUniversity of Brawijaya2
Welly PurnomoUniversity of Brawijaya2
Dian Eka RatnawatiUniversity of Brawijaya2
Syaiful AnamUniversity of Brawijaya2
Onky PrasetyoUniversity of Brawijaya2
R. Budiarianto Suryo KusumoNational Research and Innovation Agency2
Satrio Hadi WijoyoUniversity of Brawijaya2
Fawwaz Roja MahardikaUniversity of Brawijaya2
Raden Sandra YuwanaNational Research and Innovation Agency2
Endang SuryawatiNational Research and Innovation Agency2
Reza Andria SAffiliation unknown1
Sarwosri SarwosriInstitut Teknologi Sepuluh Nopember1
Imam CholissodinUniversity of Brawijaya1
Budi Darma SetiawanUniversity of Brawijaya1
Farhanna Mar’iUniversity of Brawijaya1
Rizal Arif ZulfikarUniversity of Brawijaya1
I Putu Pradnyana IswaraUniversity of Brawijaya1
Irvi OktanisaUniversity of Brawijaya1
Fitra Abdurrachman BachtiarUniversity of Brawijaya1
Iqbal Taufiq Ahmad NurUniversity of Brawijaya1
Aditya Hari BawonoUniversity of Brawijaya1
Nabila Divanadia LuckyanaUniversity of Brawijaya1
Yusi Tyroni MursityoUniversity of Brawijaya1
Yustinus Radityo PradanaUniversity of Brawijaya1
Komang Candra BrataUniversity of Brawijaya1
Santi Yunika SufianaUniversity of Brawijaya1
Abdul Harris WicaksonoUniversity of Brawijaya1
Didik KrisnandiNational Research and Innovation Agency1
Ana HeryanaNational Research and Innovation Agency1

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">Student Academic Mark Clustering Analysis and Usability Scoring on Dashboard Development Using K-Means Algorithm and System Usability Scale</dc:title>
	<dc:creator>Amalia, Nur Laita Rizki</dc:creator>
	<dc:creator>Supianto, Ahmad Afif</dc:creator>
	<dc:creator>Setiawan, Nanang Yudi</dc:creator>
	<dc:creator>Zilvan, Vicky</dc:creator>
	<dc:creator>Yuliani, Asri Rizki</dc:creator>
	<dc:creator>Ramdan, Ade</dc:creator>
	<dc:subject xml:lang="en-US">learning activity</dc:subject>
	<dc:subject xml:lang="en-US">clustering</dc:subject>
	<dc:subject xml:lang="en-US">k-means</dc:subject>
	<dc:subject xml:lang="en-US">silhouette width</dc:subject>
	<dc:subject xml:lang="en-US">system usability scale.</dc:subject>
	<dc:description xml:lang="en-US">Learning activities are one of the processes of delivering information or messages from teachers to students. SMPN 4 Sidoarjo is a State Junior High School (JHS) located in Sidoarjo Regency. During the learning process, the collected academic score data were still not well organized by teachers and school principals in monitoring student learning performance. The score data is from Bahasa Indonesia subject from a teacher with 222 data included at 2019/2020 school year. The method used in student clustering is K-Means. The number of clusters are determined using the elbow method and displayed in graphic form. Clustering result can be used as a reference for teachers in determining study groups and determining the best treatment for each cluster. The best clustering results are proven by validation score using Davies-Bouldin Index, Silhouette Width, and Calinski-Harabasz Index. Three clusters were obtained for each class level of data, while the cluster ranges from two to five for the data for each study group. The dashboard is used in order to visualize the clustering result. Usability testing using System Usability Scale (SUS) has a score value of 87.5, which means that the dashboard can be accepted by SMPN 4 Sidoarjo.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2021-07-04</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/980</dc:identifier>
	<dc:identifier>10.21609/jiki.v14i2.980</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 14 No. 2 (2021): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 137-143</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v14i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/980/449</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Jurnal Ilmu Komputer dan Informasi</dc:rights>
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