Implementasi metode K-Means clustering berdasarkan aspek kognitif dan afektif siswa SMP pada game pembelajaran mitigasi bencana gunung api

Alfarisi, Muhammad Firyal, Nugroho, Fresy ORCID: https://orcid.org/0000-0001-9448-316X and Faisal, Muhammad ORCID: https://orcid.org/0000-0003-4884-7254 (2020) Implementasi metode K-Means clustering berdasarkan aspek kognitif dan afektif siswa SMP pada game pembelajaran mitigasi bencana gunung api. Matics : Jurnal Ilmu Komputer dan Teknologi Informasi, 12 (1). pp. 22-27. ISSN 1978-161X(p); 2477-2550(e)

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Abstract

Natural disaster many occurs in Indonesia, one of the natural disaster that occurs in Indonesia is the volcano disaster. In handling with volcanic disasters, the students need more knowledge about volcanic disaster mitigation from cognitive and affective aspects. Based on the importance of understanding volcanic disaster mitigation, games are used to measure students' levels of understanding of volcanic disaster mitigation. As well as grouping the results of students playing a volcano disaster mitigation game using the K-Means Clustering method consisting of 4 clusters with results less, sufficient, good, and very good criteria value. K-Means Clustering is a method of grouping data with k as a centroid. By taking data from 32 students at SMP Negeri 2 Tanjung Redeb, Berau, East Kalimantan, the students were asked to answer a number of questions related to cognitive and affective aspects three times attempts. Based on the results of students answering questions obtained values that will be grouped using K-Means Clustering. From the results of grouping 32 student data, cognitive values given with x coordinate and affective coordinates given with y coordinate were obtained with 4 centroid points in each cluster. Obtained the results of research conducted using the K-Means Clustering method that in the first cluster with fewer criteria value there are 4 students, the second cluster with enough criteria value there are 14 students, the third cluster with good criteria value there are 6 students, and the fourth cluster with very good criteria value there are 8 students. The assessment parameters for students were obtained from the 2013 curriculum guide by teachers of SMP Negeri 2 Tanjung Redeb, Berau, East Kalimantan.

Item Type:	Journal Article
Keywords:	affective; clustering; cognitive; K-means; volcanic disaster mitigation.
Subjects:	10 TECHNOLOGY > 1099 Other Technology > 109999 Technology not elsewhere classified
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Fresy Nugroho
Date Deposited:	23 Nov 2020 09:33

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