Open AccessStudent Academic Mark Clustering Analysis and Usability Scoring on Dashboard Development Using K-Means Algorithm and System Usability Scale
Author(s) -
Nur Laita Rizki Amalia,
Ahmad Afif Supianto,
Nanang Yudi Setiawan,
Vicky Zilvan,
Asri Rizki Yuliani,
Ade Ramdan
Publication year - 2021
Publication title -
jurnal ilmu komputer dan informasi (journal of computer science and information)/jurnal ilmu komputer dan informasi
Language(s) - English
Resource type - Journals
eISSN - 2502-9274
pISSN - 2088-7051
DOI - 10.21609/jiki.v14i2.980
Subject(s) - usability , cluster analysis , computer science , dashboard , scale (ratio) , silhouette , class (philosophy) , index (typography) , cluster (spacecraft) , mathematics education , psychology , database , artificial intelligence , human–computer interaction , world wide web , geography , cartography , programming language
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.