K-Means to Determine the e-commerce Sales Model in Indonesia

Ririn Restu Aria

Abstract


Sales of e-commerce in Indonesia are currently experiencing a pretty good increase by starting to switch sales that are done traditionally or offline to online sales using the use of internet media to facilitate trade transactions between sellers and buyers can be done anywhere and anytime. In this study using the K-means clustering method algorithm. The data source used in this study is based on sales using e-commerce based on provinces in Indonesia in 2018. The criteria used in the calculation are divided into 3 clusters, namely seller, reseller and dropship. Centroid data for cluster 1 = 68.30,33,58,4.95 namely Aceh, Riau, West Kalimantan, East Kalimantan, and Maluku. Centroid data for cluster 2 = 78.58,22,25.4,22 i.e. North Sumatra, West Sumatra, Jambi, Bangka Belitung Islands, D.K.I Jakarta, Central Java, East Java, Banten, Bali, Central Kalimantan, South Kalimantan, South Sulawesi and Papua  and Centroid data for cluster 3 = 86.36,13.34,4.38 namely South Sumatra, Bengkulu, Lampung, Riau Islands, West Java, D.I Jogyakarta, West Nusa Tenggara, East Nusa Tenggara, North Kalimantan, Central Sulawesi, Gorontalo, West Sulawesi, North Maluku and West Papua.


Full Text:

PDF

References


G. L. Pritalia, “Penerapan Algoritma C4.5 untuk Penentuan Ketersediaan Barang E-commerce,” Indones. J. Inf. Syst., vol. Vol.1, no. No.1, pp. 47–56, 2018.

A. P. Windarto, “Penerapan Data Mining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering,” J. Teknol. Inf. Tecno.com, vol. vol.16, no. no.4, pp. 348–357, 2017.

D. Achjari, “Potensi Manfaat Dan Problem Di E-Commerce,” J. Ekon. dan Bisnis Indones., vol. Vol. 15, no. No.3, pp. 388–395, 2000.

R. Shabur Miftah Maulana, Heru Susilo, “Implementasi E-Commerce Sebagai Media Penjualan Online (Studi Kasus Pada Toko Pastbrik Kota Malang),” J. Adm. Bisnis, vol. Vol.29, no. No.1, pp. 1–9, 2015.

F. P. Jaroji, Danuri, Putra, “K-Means Untuk Menentukan Calon Penerima Beasiswa Bidik Misi Di Polbeng,” J. INOVTEK POLBENG - SERI Inform., vol. vol.1, no. no.1, pp. 87–94, 2016.

Y. D. Gustientiedinaa, M.Hasmil adiya, “Penerapan Algoritma K-Means Untuk Clustering Data Obat-Obatan Pada RSUD Pekanbaru,” J. Nas. Teknol. dan Sist. Inf., vol. Vol.5, no. No.1, pp. 17–24, 2019.

D. H. Sadewo, Mhd Gading, Agus Perdana Windarto, “Penerapan Datamining Pada Populasi Daging Ayam Ras Pedaging Di Indonesia Berdasarkan Provinsi Menggunakan K-Means Clustering,” J. Nas. Inform. dan Teknol. Jar., vol. vol.2, no. no.1, pp. 60–67, 2017.

D. Wyatt, J. C, Spiegelhalter, “Field Trials of Medical Decision-Aids: PotentialProblems and Solutions,” in Proc. 15th Symposium on ComputerApplications in Medical Care, 1991, vol. vol.1, no. ed.2.




DOI: https://doi.org/10.30645/ijistech.v3i2.47

Refbacks

  • There are currently no refbacks.


Jumlah Kunjungan: View My Stats

IJISTECH (International Journal Of Information System & Technology)
Online ISSN : 2580-7250

Published by

STIKOM Tunas Bangsa Pematangsiantar

Jl. Sudirman Blok A No. 1/2/3, Siantar Barat, Kota Pematang Siantar, Sumatera Utara, Kode Pos: 21127, Phone: (0622), e-Mail: ijistech@gmail.com

 IJISTECH Published Papers Indexed/Abstracted By: