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

Nur Laita Rizki Amalia, Nur Laita Rizki Amalia and Ahmad Afif Supianto, Ahmad Afif Supianto and Nanang Yudi Setiawan, Nanang Yudi Setiawan and Vicky Zilvan, Vicky Zilvan and Asri Rizki Yuliani, Asri Rizki Yuliani and Ade Ramdan, Ade Ramdan (2021) Student Academic Mark Clustering Analysis and Usability Scoring on Dashboard Development Using K-Means Algorithm and System Usability Scale. Jurnal Ilmu Komputer dan Informasi, 14 (2). pp. 137-143. ISSN e-ISSN 2502-9274

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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.

Item Type:	Article
Uncontrolled Keywords:	learning activity; clustering; k-means; silhouette width; system usability scale.
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Ni Made Yunia Dwi Savitri
Date Deposited:	18 Nov 2022 07:26
Last Modified:	18 Nov 2022 07:26
URI:	http://eprints.triatmamulya.ac.id/id/eprint/1859

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