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All Journal Jurnal Informatika
Y Utami
Universitas Muhammadiyah Malang
Computer Science & IT

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Classifying the characteristics of insurance shares: a k-means clustering approach Y Utami; I Zuhroh; V Prasetya; Mochamad Rofik
Jurnal Informatika Vol 15, No 3 (2021): September 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jifo.v15i3.a23372

Abstract

This study aims to apply the k-means clustering method in understanding the characteristics of insurance shares. The eight issuers are divided into three clusters based on price and rate of return. The k-means method's application shows that each cluster has different characteristics, especially for the price variable. Test with panel data regression also discovers different patterns between clusters 2 and 3 in responding to changes in interest rates. The findings of this study indicate that k-means clustering can be used as an initial analysis to understand the characteristics of issuers that investors can use to increase the optimal probability of return.
Co-Authors I Zuhroh Mochamad Rofik V Prasetya