AHIRRU, CIPTO (2022) Perancangan Aplikasi WEB Point Of Sales dengan penerapan Algoritma K-Means Clustering sebagai Fitur Analisa data. S1 thesis, Universitas Mercu Buana.
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Abstract
Based on the 2020 report, internet users in Indonesia reached 175.4 million users. The development of information technology and the use of computers to help human activities achieve effectiveness and efficiency. Toqu-toqu is a retail kiosk ranging from basic necessities, furniture, design services and credit, in terms of transactions still traditionally without any transaction reports. The purpose of this study is to create a point of sales system, from the system that is built there are several features such as viewing stock of goods, transaction history and analysis of behavior, not selling and not selling well using the k-means clustering algorithm. K-means clustering is a data mining technique that aims to divide the cluster into separate parts. The clustering of data created by kmeans clustering is based on distance and only works with numeric attributes. This research produces a point of sale website that will be used as a transaction system. As for the results of the calculation of the analysis of k means clustering of 13 sample data shows the output in the form of goods that sell 49.8%, less sell 45.2% and do not sell 5%. Key words: Point of sales, k mean, clustering, Toqu-toqu Berdasarkan laporan tahun 2020 pengguna internet di Indonesia mencapai 175,4 juta pengguna. Perkembangan teknologi informasi dan penggunaan computer untuk membantu aktivitas manusia untuk mencapai efektifitas dan efisiensi. Toqu-toqu merupakan warung eceran mulai dari sembako, perabotan, jasa desain dab pulsa, dalam hhal transaki masih secara tradisonal tanpa adanya laporan transaksi. Tujuan penelitian ini membuat system point of sales, dari system yang dibangun terdapat beberapa fitur seperti, melihat stok barang, histori transaksi maupun Analisa laku, tidak laku dan kurang laku menggunakan algoritma k-means clustering. K-means clustering merupakan teknik data mining yang bertujuan untuk membagi cluster kebagian terpisah. Pengelompokan data yang kmeans clustering buat berdasarkan jarak dan hanya berfungsi dengan atribut numerik. Penelitian ini menghasilkan sebuah website point of sale yang akan digunakan sebagai system transaksi. Sedangkan untuk hasil perhitungan analisa k means clustering dari 13 data sampel menunjukan output berupa barang yang laku 49,8%, kurang laku 45,2% dan tidak laku 5 Kata kunci: Point of sales, k mean, clustering, Toqu-toqu
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