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All Journal JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Journal of Informatics and Information Security ALMUSTOFA: Journal of Islamic Studies and Research Service
Intan Safira
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Religion Humanities Computer Science & IT Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Journal of Informatics and Information Security

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Penerapan Algoritma K-Means untuk Mengetahui Pola Persediaan Barang pada Toko Raja Bekasi Intan Safira; Ratna Salkiawati; Priatna, Wowon Priatna
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ykryzk32

Abstract

This study aims to determine how much the results of grouping goods affect the needs of consumers. Excess inventory will greatly fill the warehouse and be inefficient because of the expiration date on food products, beverages, etc. Currently Toko Raja still manages goods manually so it is not time efficient. To solve this problem, a technique is needed, namely data mining. The data mining technique that will be used in this research is the K-Means Clustering method. K-Means is one of the most popular algorithms because it is easy and simple to implement. However, the results of the clustering of K-Means are very dependent on theselection of the initial cluster center point. Calculation of accuracy in this study using the test results of the K-Means clustering method using the Davies-Bouldin Index (DBI) is 1.856 where the DBI value close to zero cluster is good enough. From the resulting accuracy, it can be concluded that the K-Means Clustering method can support the system well.
Co-Authors Aripin Aris Febriyanto Discha Zahra Amanina Giulia Salzano Badia Laila Sari Masyhur Liala Syarifah Wahdani Priatna, Wowon Priatna Ratna Salkiawati Riski Maulana Vita Susmita