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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi Instal : Jurnal Komputer Jurnal Masyarakat Indonesia
Yati, Nurhayati
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education

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Journal : Instal : Jurnal Komputer

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Performance Analysis Of The K-Means Algorithm On Intensity Of Science Laboratory Use And Science Skills Yati, Nurhayati; Simatupang, Baharis Setia Adisahputra; Arisman
Bahasa Indonesia Vol 16 No 02 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i02.201

Abstract

This research aims to analyze the performance of the K-Means algorithm concerning the intensity of use of the Natural Sciences (IPA) laboratory and its impact on students' science skills. The study utilizes data on the intensity of science laboratory use and the results of science skills tests from a group of students. The analysis leverages the K-Means algorithm's ability to cluster students based on their laboratory use patterns and determine qualifications based on their science skills. The performance metrics employed in this study include evaluating cluster suitability and conducting correlation analysis between science laboratory use patterns and students' science skills. Therefore, the research focuses on demonstrating how the K-Means algorithm can effectively group data on the intensity of science laboratory use and its correlation with students' science skills.
Co-Authors Arisman Barus, Apriwati Sembiring, Terang Muly Simangunsong, Pandi Barita Nauli Simatupang, Baharis Setia Adisahputra Simbolon, Hasanal Fachri Satia Syahrial Sitorus