Improvements of fuzzy C-means clustering performance using particle swarm optimization on student grouping based on learning activity in a digital learning media

Supianto, Ahmad Afif; Sa'diyah, Nur Kamilah; Dewi, Candra; Rokhmawati, Retno Indah; Wicaksono, Satrio Agung; Az-Zahra, Hanifah Muslimah; Wijoyo, Satrio Hadi; Hayashi, Yusuke; Hirashima, Tsukasa

doi:10.1145/3427423.3427449

Cited by 2 publications

(1 citation statement)

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“…According to Singh et al [8], clustering is an unsupervised learning method where conclusions are drawn from a set of unlabeled data. The base rule utilized on clustering techniques is to amass the information by amplifying the intraclass probability and interclass probability [9]. The clustering method's effectiveness depends on the nature of the data used [10].…”

Section: Introductionmentioning

confidence: 99%

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

Amalia

Supianto

Setiawan

et al. 2021

Jurnal Ilmu Komputer dan Informasi

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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.

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Section: Introductionmentioning

confidence: 99%