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All Journal Perfecting a Video Game with Game Metrics ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Budimas : Jurnal Pengabdian Masyarakat Reswara: Jurnal Pengabdian Kepada Masyarakat Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Pengabdian Masyarakat (JAPAMAS) VISA: Journal of Vision and Ideas
Rusydi, Ibnu
Universitas Dharmawangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : Perfecting a Video Game with Game Metrics

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Implementation of K-means algorithm in data analysis Asyahri Hadi Nasyuha; Zulham Zulham; Ibnu Rusydi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 2: April 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i2.21986

Abstract

Some large companies have difficulty in providing products even though the products are still available in the warehouse. Based on these problems, a solution is needed in managing cosmetic products and can find the right strategy so that it can increase business in the field of sales and improve sales services by using algorithms in data mining that can overcome these problems, such as clustering techniques that use the K-means clustering algorithm as a way to measure proximity data between cosmetic products based on transactions that have occurred. The specialty of the analysis of the management of cosmetic products in this study is that it produces data on products that are not sold enough so that it can provide prevention so that the accumulation of these products does not occur. The use of K-means clustering also makes it easier to collect cosmetic sales transaction data, can solve problems in classifying cosmetic product sales transaction data and find out which products should be in cosmetics stock so as to increase sales profits
Co-Authors Asyahri Hadi Nasyuha Ayu Andini Eli Triaulia Heru Pahlevi Jessica Syahvira M. Arif Rahman Muhammad Asnawi Puji Sari Ramadhan Sekar Yulianda Siti R Nur Aisyiyah Sri Wahyuni Sri Wahyuni Sriani Tajrin Tajrin Tajrin Tajrin Welnof Satria Zelvi Gustiana Zulham Zulham