PENERAPAN ALGORITMA K-MEANS UNTUK MENGANALISIS DATA PENJUALAN PADA TOKO AYU COLLECTION BERASIS WEB
Abstract
The Ayu Collection store sells various types of clothing and accessories. One way to maintain the customers’ satisfaction is by keeping the stock of goods so that no items are empty. The seller must analyze which item data are selling well and which item data is not selling well, based on the sales report data. This problem can be solved by using one of the techniques in data mining, namely the K-Means Clustering algorithm. This research was intended to help the Ayu Collection, a shop in Blora City that sells clothing and accessories, classify its sales data to maximize its stock management. The variables used were the name of the goods, the data of incoming goods, the data of outgoing goods, and the stock of goods. The shop owner can see the results of grouping clothes and accessories that are best-selling and not selling well. Therefore, if there are products that are not selling well, the shop owner can look for other alternatives so that clothes and accessories that are not selling well can be sold. The methods used in the data collection were observation and interviews with the shop owner of the Ayu Collection store. The accuracy of this system reached 83.33%
References
M. Nawang, L. Kurniawati, D. Duta, K. Akuntansi, S. Informasi, and K. Akuntansi, “Rancang Bangun Sistem Informasi Pengolahan Data Persediaan Barang Berbasis Dekstop Dengan Model,” vol. 13, no. 2, pp. 233–238, 2017.
R. P. Hastanti, “Analisis Dan Perancangan Sistem Penjualan Berbasis Web ( E-Commerce ),” pp. 1–8, 2011.
M. Taufani, R. Riyadi, and R. Dewantara, “Analisis Dan Desain Sistem Informasi Pemasaran (Studi pada Sistem Informasi Pemasaran untuk Promosi CV. Intan Catering),” J. Adm. Bisnis S1 Univ. Brawijaya, vol. 38, no. 2, pp. 1–10, 2016.
B. S. Sutejo, “Internet Marketing : Konsep Dan,” J. Manaj., vol. 6, no. 1, pp. 41–57, 2006.
D. T. Hernandhi, E. S. Astuti, and S. Priambada, “Desain Sistem Informasi Pemasaran Berbasis Website Untuk Promosi ( Studi Kasus pada Kedai Ayam Geprak & Sambal Bawang Malang ),” J. Adm. Bisnis, vol. 55, no. 1, pp. 1–10, 2018.
M. H. Siregar, “Data Mining Klasterisasi Penjualan Alat-Alat Bangunan Menggunakan Metode K-Means (Studi Kasus Di Toko Adi Bangunan),” J. Teknol. Dan Open Source, vol. 1, no. 2, pp. 83–91, 2018.
E. Muningsih and S. Kiswati, “Penerapan Metode K-Means Untuk Clustering Produk Online Shop Dalam Penentuan Stok Barang,” J. Bianglala Inform., vol. 3, no. 1, pp. 10–17, 2015.
A. E. Permana, A. M. Reyhan, H. Rafli, and N. Aini, “Analisa Transaksi Belanja Online Pada Masa Pandemi,” J. TEKNOINFO, vol. 15, no. 1, pp. 32–37, 2021.
D. N. P. Sari and Y. L. Sukestiyarno, “Analisis Cluster dengan Metode K-Means pada Persebaran Kasus Covid-19 Berdasarkan Provinsi di Indonesia,” Prism. Pros. Semin. Nas. Mat., vol. 4, pp. 602–610, 2021.
A. A. Rismayadi, N. N. Fatonah, and E. Junianto, “Algoritma K-Means Clustering Untuk Menentukan Strategi Pemasaran Di Cv. Integreet Konstruksi,” J. Responsif Ris. Sains dan Inform., vol. 3, no. 1, pp. 30–36, 2021.
S. Suliman, “Implementasi Data Mining Terhadap Prestasi Belajar Mahasiswa Berdasarkan Pergaulan dan Sosial Ekonomi Dengan Algoritma K-Means Clustering,” Simkom, vol. 6, no. 1, pp. 1–11, 2021.
D. R. Ningrat, D. A. I. Maruddani, and T. Wuryandari, “Analisis cluster dengan algoritma K-Means dan Fuzzy C-Means clustering untuk pengelompokan data obligasi korporasi,” None, vol. 5, no. 4, pp. 641–650, 2016.
W. Dhuhita, “Clustering Menggunakan Metode K-Mean Untuk Menentukan Status Gizi Balita,” J. Inform. Darmajaya, vol. 15, no. 2, pp. 160–174, 2015.
I. N. Rachmawati, “Pengumpulan Data Dalam Penelitian Kualitatif: WaRachmawati, I. N. (2007). Pengumpulan Data Dalam Penelitian Kualitatif: Wawancara. Jurnal Keperawatan Indonesia, 11(1), 35–40. https://doi.org/10.7454/jki.v11i1.184wancara,” J. Keperawatan Indones., vol. 11, no. 1, pp. 35–40, 2007.
H. Hasanah, “Teknik-Teknik Observasi (Sebuah Alternatif Metode Pengumpulan Data Kualitatif Ilmu-ilmu Sosial),” At-Taqaddum, vol. 8, no. 1, p. 21, 2017.
A. T. Mirzaqon and B. Purwoko, “Studi Kepustakaan Mengenai Landasan Teori Dan Praktik Konseling Expressive Writing Library,” J. BK UNESA, pp. 1–8, 2017.
C. Oktarina, K. A. Notodiputro, and I. Indahwati, “Comparison of K-Means Clustering Method and K-Medoids on Twitter Data,” Indones. J. Stat. Its Appl., vol. 4, no. 1, pp. 189–202, 2020.
N. Harianto Kristanto, A. LA Christopher, and H. S. Budi, “Implemantasi K-Means Clustering untuk Pengelompokan Analisis Rasio Profitabilitas dalam Working Capital,” Juisi, vol. 02, no. 01, 2016.
N. Wakhidah, “Clustering Menggunakan K-Means Algorithm ( K-Means Algorithm Clustering ),” Fak. Teknol. Inf., vol. 21, no. 1, pp. 70–80, 2014.
Full Text: Vol. 15 No. 1. pp 1-9
Refbacks
- There are currently no refbacks.
