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All Journal Asia-Pacific Management and Business Application Journal of Economic, Bussines and Accounting (COSTING) Journal on Education Ensiklopedia of Journal KOLOKIUM: Jurnal Pendidikan Luar Sekolah Jurnal Informatika Ekonomi Bisnis Emerging Markets : Business and Management Studies Journal Jurnal Manajemen Bisnis Eka Prasetya COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Indonesia Sosial Sains Cerdika: Jurnal Ilmiah Indonesia Jurnal Manajemen Kreatif dan Inovasi J-CEKI
Jerry Heikal
Bakrie University
Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Public Health Social Sciences

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Journal : Ensiklopedia of Journal

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KLASTERISASI MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING DENGAN MENGGUNAKAN INDIKATOR TOTAL DEBT TO TOTAL EQUITY RATIO, CURRENT RATIO DAN RETURN ON ASSETS UNTUK MENGETAHUI DAMPAK COVID-19 PADA 10 INDUSTRI DI BURSA EFEK INDONESIA Kevry Ramdany; Jerry Heikal
Ensiklopedia of Journal Vol 4, No 2 (2022): Vol 4 No. 2 Edisi 1 Januari 2022
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (115.443 KB) | DOI: 10.33559/eoj.v4i2.1013

Abstract

Clustering data is a data grouping method. This is a part of Data Mining, which is pattern extraction that interested of the big data. Clustering usually use in business intelligence, image pattern recognition, web search, field of biological sciences, and for security. Clustering is a process grouping data into clusters so that data in one cluster have the same maximum. Object in one cluster have the same characteristic between each others and different with other cluster. This research using K-means Clustering to grouping company in some industries based on available data in yahoo finance. Grouping aim to know about which good company to invest in during this pandemic. Data source financial statement in 2020 that available in yahoo finance. Analysis method using K-means clustering with software SPSS version 20. The result is 3 clusters, which is cluster 1 severely affected by covid, cluster 2 mildly affected by covid and cluster 3 moderately affected by covid. Result of analysis there is 7 companies in cluster 1, 1 companies in cluster 2, and 2 companies in cluster 3. Based on analysis result using K-means Clustering then suggested to invest on company that include in cluster 2 is Unilever Indonesia Tbk.
Co-Authors Abhiyoga Deyandra Putra Aditya Rachman Zarkasih Agus Sugiono Ahmad Julian Asti Apriani Dewi Anggini Dewi Lisdayanti Dwi Wuryantadi Dzaki Zakaria Elja Salwa Erwan Hendrawan Fidy Rachman Osthar Haby Kurniawan Hamka Putra Jaya Hamka Putra Jaya Helga Meilany Ika Sukmawati Isfan Ferli Kevry Ramdany Kholil Akhmad Lidya Hamdani Putri Lurinjani Akhsan Lurinjani Akhsan Maya Seruni Putri Meiriza Azwar Michael Muhammad Farhan Muhammad Feyzel Khalfani Putra Ardanesworo Muhammad Iqbal Fajri Nuria Soviatun Nuria Soviatun Nuria Soviatun Pahrul Rojih Raden Maart Adi Waskita Rama Rizqullah Fahrizal Samsul Arifin Sri Mulyaningsih Susan Ratna Salim Tasrika Azwar Vasya Theodora Givianty