Analisis Pola Pembelian Produk Pada E-Commerce Panenmart

Authors

  • Tsalis Kurniawan Husain Universitas Muslim Indonesia
  • Farizah Dhaifina Amran Universitas Muslim Indonesia

DOI:

https://doi.org/10.25181/jofsa.v4i2.1618

Abstract

The purpose of this study was to determine and analyze the purchase patterns of products on Panenmart e-commerce. The basic method used is the experimental method. The sampling technique in this study is saturation sampling. The data used in the study were sourced from secondary data obtained from shopping transaction data of the sales transaction database on the website and the Panenmart’s mobile application. To determine the pattern of product purchase association rules, Market Basket Analysis (MBA) is used based on three metrics, namely support, confidence and lift ratio. This study used a minimum value of support of 0.1 and a minimum value of confidence of 0.3. The results showed 3 patterns of product purchase association rules that have a strong and valid relationship to be purchased simultaneously because they had a confidence value of more than 0.3 and lift ratio value > 1. The product items had a rule pattern namely, cayenne pepper à green bean, corn à spinach, and spinach à green bean.

Downloads

Download data is not yet available.

References

Ariana, A. G. B., & Asana, I. M. D. P .(2013). Analisis Keranjang Belanja Dengan Algoritma Apriori Pada Perusahaan Retail’, Seminar Nasional Sistem Informasi Indonesia (hal 522-527). 2-4 Desember 2013. Surabaya:ITS.

Adisti, A. et al. (2019) ‘Panen Mart ’ s Existence in using Marketing Communication Strategies of Selling Agriculture Products’, 13(12), pp. 43–50. doi: 10.22587/aeb.2019.13.12.8.

Badrul, M. (2016). Algoritma Asosiasi dengan Algoritma Apriori untuk Analisa Data Penjualan. Jurnal Pilar Nusa Mandiri. 12(2), 121-129.

Pranata, M. A. K. I. & Darma, G. S.(2014). Strategi Penerapan E-Commerce dalam Meningkatkan Keunggulan Bersaing. Jurnal Manajemen dan Bisnis, 11(1), 69-81.

Dewantara, H., Santosa, P. B. and Setyanto, N. W. (2018). Perancangan Aplikasi Data Mining dengan Algoritma Apriori untuk Frekuensi Analisis Keranjang Belanja pada Data Transaksi Penjualan (Studi Kasus di Swalayan KPRI Universitas Brawijaya). Jurnal Rekayasa dan Manajemen Sistem Industri, 1(3). 415-426.

Ghozali, M. I., Ehwan, R. Z. and Sugiharto, W. H. (2017). Analisa Pola Belanja Menggunakan Algoritma FP Growth, Self Organizing Map (SOM) dan K Medoids. Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer. 8(1), 317-326. doi: 10.24176/simet.v8i1.995.

Irmawati, D. (2011). Pemanfaatan E-Commerce dalam Dunia Bisnis. Jurnal Ilmiah Orasi Bisnis, (4), 95-112

Kamakura, W. A. (2012). Sequential Market Basket Analysis. Marketing Letters. 23(3), 505-516. doi: 10.1007/s11002-012-9181-6.

Prasidya, A. K. & Fibriani, C. (2017). Analisis Kaidah Asosiasi Antar Item dalam Transaksi Pembelian Menggunakan Data Mining dengan Algoritma Apriori (Studi Kasus: Minimarket Gun Bandungan, Jawa Tengah). JUTI: Jurnal Ilmiah Teknologi Informasi. 15(2), 173-184. doi: 10.12962/j24068535.v15i2.a629.

Sutarni, S., Irawati, L., Unteawati, B., & Yolandika, C. (2019). Proses Pengambilan Keputusan Pembelian Sayuran Hidroponik di Kota Bandar Lampung. Journal of Food System & Agribusiness. 2 (1). 17-24 doi: 10.25181/jofsa.v2i1.1107.

Downloads

Published

2020-10-30

How to Cite

Husain, T. K., & Amran, F. D. (2020). Analisis Pola Pembelian Produk Pada E-Commerce Panenmart. Journal of Food System and Agribusiness, 4(2), 76–82. https://doi.org/10.25181/jofsa.v4i2.1618

Issue

Volume 4 Nomor 2 Tahun 2020

Section

Artikel

License

Copyright (c) 2020 Journal of Food System & Agribusiness

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with Journal of Food System and Agribusiness (JoFSA) agree to the following terms:

Authors retain copyright and grant the Journal of Food System and Agribusiness (JoFSA) right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially) with an acknowledgment of the work's authorship and initial publication in Journal of Food System and Agribusiness (JoFSA).

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Journal of Food System and Agribusiness (JoFSA). Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.