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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Social Economics and Ecology International Journal (SEEIJ) ComTech: Computer, Mathematics and Engineering Applications Jutis (Jurnal Teknik Informatika) Jurnal Sistem Komputer & Kecerdasan Buatan
Condrobimo, A. Raharto
Universitas Bina Nusantara
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

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Journal : ComTech: Computer, Mathematics and Engineering Applications

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The Application Of K-Means Algorithm For LQ45 Index on Indonesia Stock Exchange Condrobimo, A. Raharto; Sano, Albert V. Dian; Nindito, Hendro
ComTech: Computer, Mathematics and Engineering Applications Vol 7, No 2 (2016): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v7i2.2256

Abstract

The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.
The Application Of K-Means Algorithm For LQ45 Index on Indonesia Stock Exchange A. Raharto Condrobimo; Albert V. Dian Sano; Hendro Nindito
ComTech: Computer, Mathematics and Engineering Applications Vol. 7 No. 2 (2016): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v7i2.2256

Abstract

The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.
Co-Authors Albert V. Dian Sano Andwiyan, Denny Arifin, Yulyani Diana Syarifah Permai Dicky Hida Syahchari Erick Fernando Erick Fernando Erick Fernando B311087192 Meyliana Meyliana Mohammad Rizky Yudho Nindito, Hendro Sano, Albert V. Dian Surjandy Surjandy