Analisis Strategi Peningkatan Penjualan Toko Online Danangshoop Dengan Metode Market Basket Analysis
DOI:
https://doi.org/10.37090/indstrk.v8i2.1410Abstract
Danangshoop is an online store that focuses on agriculture and sells plant seeds. On its journey, Danangshoop encountered a problem in its e-commerce system, specifically the unsequential arrangement of products in the best-selling column. This research are meant to change the sequence of best-selling products in order according to the total number of purchases per product. Market Basket Analysis is the method used to analyze consumer purchasing patterns, and the results are the basis for marketing strategies that enhance sales targets. The implementation of Market Basket Analysis helps in designing promotions and product placements intelligently. This research uses a quantitative approach, analyzing data by calculating confidence and support values. The lift analysis results indicate that a combination of vegetable seeds and fruit seedlings has the most significant impact on the purchase of vegetable seeds. The conclusion highlights a variety of products, especially vegetable seeds that are in demand among consumers. The store can enhance promotions by featuring vegetable seed products in the "best-selling products" menu, as vegetable seeds are the most purchased products based on previous research. Additionally, another option is to offer combined purchase packages. These recommendations are expected to boost the sales of vegetable seeds at Danangshoop.
Keywords: Market Basket Analysis, Lift, Seeds, Online Shop
References
Badrul, M., Studi, P., & Informasi, S. (2016). 227549-Algoritma-Asosiasi-Dengan-Algoritma-Apri-F4245Cc8. Jurnal Pilar Nusa Mandiri , XII(ALGORITMA ASOSIASI DENGAN ALGORITMA APRIORI UNTUK ANALISA DATA PENJUALAN), 121–129.
Edward, Nathaniel, Rolly Intan, and Alvin Nathaniel Tjondrowiguno. "Analisis Consumer Behaviour Pada Toko Retail Dengan Metode APRIORI-SD." Jurnal Infra 7, no. 2 (2019): 185-189.
Ependi, U. dan Putra, A. 2019. Solusi Prediksi Persediaan Barang dengan Menggunakan Algoritma Apriori (Studi Kasus: Regional Part Depo Auto 2000 Palembang). Jurnal Edukasi dan Penelitian Informatika (JEPIN) 5(2): 139– 145.
Gunadi, G., & Sensuse, D. I. (2012). Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Buku Dengan Menggunakan Algoritma Apriori Dan Frequent Pattern Growth ( Fp-Growth ) : Telematika, 4(1), 118–132.
Hakim, M. J., & Akbar, Y. (2018). Market Basket Analysis Menggunakan Algoritma Apriori Berbasis Bahasa R (Studi Kasus Transretail Indonesia). Jurnal CKI On SPOT, 11(2), 173–180.
Kaur, M. dan Kang, S. 2016. Market Basket Analysis: Identify the Changing Trends of Market Data Using Association Rule Mining. Procedia Computer Science 85(Cms): 78–85.
Kurnia, D. A., Mohd, O., Abdollah, F., Sudrajat, D., & Wijaya, Y. A. (2021). Face Recognition Techniques : a Systematic Literature Review (Research Trends, Datasets, and Methods). Journal of Theoretical and Applied Information Technology, 15(21), 5217–5231. Retrieved from http://www.jatit.org/volumes/Vol99No21/25Vol99No21.pdf
Kurnia, D. A., Setiawan, A., Amalia, D. R., Arifin, R. W., & Setiyadi, D. (2021). Image Processing Identifacation for Indonesian Cake Cuisine using CNN Classification Technique. Journal of Physics: Conference Series, 1783(1). https://doi.org/10.1088/1742-6596/1783/1/012047
Masnur, Alkadri. "Analisa Data Mining Menggunakan Market Basket Analysis untuk Mengetahui Pola Beli Konsumen." SATIN-Sains Dan Teknologi Informasi 1, no. 2 (2015): 32-40.
Nurdin, Abdullah, D., Fatimah, W., Ratnadewi, R., Kurniasih, N., Rianita, D., … Sudarsana, I. K. (2019). Sms Encryption Application Using 3Des (Triple Data Encryption Standard) Algorithm Based on Android. Journal of Physics: Conference Series, 1363(1). https://doi.org/10.1088/1742-6596/1363/1/012077
Pada, W., Ibu, T., Saemutullah, F., & Kurnia, D. A. (2021). JURNAL DATA SCIENCE & INFORMATIKA ( JDSI ) Rancang Bangun Sistem Informasi Penjualan Barang Berbasis. 1(2), 63–70.
Salam, A., & Sholik, M. (2018). Implementasi Algoritma Apriori untuk Mencari Asosiasi Barang yang dijual di E-commerce OrderMas. Techno.Com, 17(2), 158–170. https://doi.org/10.33633/tc.v17i2.1656
Sihombing E. S., A. S. Honggowibowo, and D. Nugraheny, “Implementasi Data Mining Menggunakan Metode Apriori Pada Transaksi Penjualan Barang (Studi Kasus Di Chorus Minimarket),” Compiler, vol. 1, no. 1, pp. 17–30, 2012, doi: 10.28989/compiler.v1i1.2.
Sukri, M. Iqbal Abdullah, Syifa Nur Fauziah, Agus Fatkhurohman, and Dhani Ariatmanto. "Data Mining Untuk Klasifikasi Produk Menggunakan Algoritma K-Nearest Neighbor Pada Toko Online." Prosiding SISFOTEK 5, no. 1 (2021): 141-145.
Triyanto, W. A., Suhartono, V., & Himawan, H. (2015). Analisis Keranjang Pasar Menggunakan K-Medoids Dan FP-Growth. Pseudocode, Vol. 1, pp. 129–142. https://doi.org/10.33369/pseudocode.1.2.129-142
Wahidmurni. (2017). "Pemaparan metode penelitian kualitatif." . Ekp, 13(3), 1576–1580.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.