Penerapan Data Mining Dalam Meningkatkan Penjualan Handphone Dengan Menggunakan Metode Algoritma Apriori (Studi Kasus: PT. Agung Sejahtera Makmur)
Keywords:
Data Mining, Algorithm Apriori, Association RuleAbstract
Competition in business is increasingly competitive, especially from the use of mobile phones which are the main tools that can help human work. It can be seen from the various brands that are offered with interesting facilities to use and so the market for the product is getting bigger. With that, it makes business actors compete with each other with all the marketing strategies used to get lots of consumers to buy. That way a marketing strategy is needed that can help increase product sales. One of the strategies is to make product patterns that can be recommended based on office databases with the application of data mining or data mining, as well as a priori algorithm calculations and using the RapidMiner assistance application to get accurate results and can also be determined with support and confidence values. With the aim of processing transaction data that was not originally processed into data that can be used for marketing strategies. And the results of this application become an association rule, namely forming a product pattern that can help design a marketing strategy for PT. Agung Sejahtera Makmur to increase sales.
References
Aisyah, S., & Normah, N. (2019). Penerapan Algoritma Apriori Terhadap Data Penjualan Di Swalayan Koperasi Bappenas Jakarta Pusat. Paradigma - Jurnal Komputer Dan Informatika, 21(2), 235–242. https://doi.org/10.31294/p.v21i2.6205
Arhami, Muhammad; Nasir, M. (2020). DATA MINING Algoritma dan Implementasi.
Delima Sikumbang, I. (2022). Penerapan Data Mining Untuk Menentukan Pola Penjualan Sepatu Menggunakan Metode Algoritma Apriori. Bina Insani Ict Journal, 9(1), 43. https://doi.org/10.51211/biict.v9i1.1758
Erwansyah, K., Andika, B., & Gunawan, R. (2021). Implementasi Data Mining Menggunakan Asosiasi Dengan Algoritma Apriori Untuk Mendapatkan Pola Rekomendasi Belanja Produk Pada Toko Avis Mobile. J-SISKO TECH (Jurnal Teknologi Sistem Informasi Dan Sistem Komputer TGD), 4(1), 148. https://doi.org/10.53513/jsk.v4i1.2628
Mahmud, R., & Hartanto, A. (2020). Penerapan Data Mining Rekomendasi Laptop Menggunakan Algoritma Apriori. Juisi, 06(02), 21–30.
Muhidin, A., Studi, P., Informatika, T., Tinggi, S., & Pelita, T. (2019). Klasifikasi Penduduk Tidak Mampu Desa Mandiraha Wetan Menggunakan Algoritma C4.5. Jurnal Pelitabangsa, 9(3), 13–18.
Nofitri, R., & Irawati, N. (2019). Analisis Data Hasil Keuntungan Menggunakan Software Rapidminer. JURTEKSI (Jurnal Teknologi Dan Sistem Informasi), 5(2), 199–204. https://doi.org/10.33330/jurteksi.v5i2.365
Qoniah, I., & Priandika, A. T. (2020). Analisis Market Basket Untuk Menentukan Asossiasi Rule Dengan Algoritma Apriori (Studi Kasus: Tb. Menara). Jurnal Teknologi Dan Sistem Informasi, 1(2), 26–33.
Riyanto Sidabutar, F., Ramadhan, M., Al Hafiz, A., Studi Sistem Informasi, P., & Triguna Dharma, S. (2020). Implementasi Data Mining Untuk Menganalisis Penjualan Barang Menggunakan Metode Apriori. Jurnal CyberTech Journal, 1(1), 54–66. https://ojs.trigunadharma.ac.id/
Sianturi, F. A. (2018). Penerapan Algoritma Apriori Untuk Penentuan Tingkat Pesanan. Jurnal Mantik Penusa, 2(1), 50–57. http://bowmasbow.blogspot.com/20
