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All Journal IJEBA (International Journal of Economic, Business & Applications) JURNAL PENDIDIKAN TAMBUSAI Gravitasi: Jurnal Pendidikan Fisika dan Sains Jurnal Serambi Abdimas Jurnal Pengabdian Masyarakat Bangsa TIFDA : Journal Technology Information and Data Analytic
Agustin, Ririn
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Journal : TIFDA : Journal Technology Information and Data Analytic

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Implementasi Data Mining Analisa Pola Belanja Customer Dengan menggunakan FP-Growth pada Produk Fashion Agustin, Ririn; Budiman, Adam Arif
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 1 (2024): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i1.28

Abstract

This study applies data mining to analyze customer patterns and fashion product predictions. The FP-Growth method is used to identify frequently occurring itemset patterns,The dataset contains customer purchase history and fashion product attributes. The results of customer pattern analysis and fashion product predictions can help fashion companies in making strategic decisions. This study contributes to the use of data mining to understand customer preferences and improve business decisions for fashion companies. The use of datasets consisting of customer purchase history and fashion product attributes. First, using the FP-Growth algorithm, an analysis is carried out to identify frequently occurring itemset patterns in customer data. The results of the analysis are used to understand customer preferences and shopping habits.
Co-Authors Adam Arif Budiman, Adam Arif Afifa, Jihan Irba Agus Mulyana Alfarisy, Muhamad Salman Asiyah, Rina Nur Lubis, Nur Azizah Nurfajriani, Ani Nurmasyitah Pratama, Biang Purwanto Purwanto Putri, Nabilah Salwaa Syawalan Rianti, Risa Saputra, Dimas Siregar, Mita Susi Hendriani Sutarmin Sutarmin, Sutarmin Syapsan, Syapsan Umi Pratiwi, Umi Undri Rastuti Widiyawati, Nian Eka