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All Journal International Journal of Applied Power Engineering (IJAPE) TEKNOLOGI INFORMASI Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi IJIS - Indonesian Journal On Information System JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jiko (Jurnal Informatika dan komputer) Patria Artha Technological Journal BAKTI : Jurnal Pengabdian Kepada Masyarakat Jurnal Suara Pengabdian 45 KREATIF: Jurnal Pengabdian Masyarakat Nusantara Transaction on Informatics and Data Science
Amal Khairan
Universitas Khairun
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Social Sciences Transportation Other

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Journal : Transaction on Informatics and Data Science

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Determining Promotions at UD. Jakarta Pixel using Web-Based FP-Growth Association Model Potale, Lisa Elisia; Ahmad, Muhammad Sabri; Khairan, Amal
Transactions on Informatics and Data Science Vol. 2 No. 1 (2025)
Publisher : Department of Informatics, Faculty of Da'wah, UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v2i1.12208

Abstract

In the rapidly advancing digital era, the growth of e-commerce has significantly transformed the retail business paradigm. However, physical stores still play a crucial role in providing direct and personal experiences to customers. UD. Jakarta Pixel, a physical store specializing in photography and electronic products, faces increasingly intense competition from various e-commerce platforms. To remain competitive, sophisticated and effective promotional strategies are required. This research uses the FP-Growth association model as the method to determine effective website-based product promotions at UD. Jakarta Pixel. The research results indicate that the FP-Growth algorithm successfully analyzes customer purchasing patterns, identifies relationships between frequently purchased products, and enables the store to design more targeted promotions according to customer preferences. Implementing this system not only enhances operational efficiency in data analysis but also provides accurate information for strategic decision-making, optimizing product promotion strategies, and ultimately increasing sales. In conclusion, the application of the FP-Growth algorithm at UD. Jakarta Pixel is an innovative solution that strengthens the competitiveness and sustainability of physical stores amid the rapid growth of e-commerce, leveraging transaction data analysis for more effective and efficient promotion planning.
Co-Authors Abdul Mubarak ACHMAD FUAD Ahmad, Muhammad Sabri Albaar, Muhammad Ridha Anas Anas Arifin, Rohman Nur Assaf Arief, Assaf Dahlan, Sigrit A.M Faanzir, Faanzir Fauzan Maulana Kodja Fhadli, Muhamad Hairil Kurniadi Siradjuddin Harmianto, Harmianto Haryati Haryati Iswan Iswan Kaidani, Mira Kapita, Syarifuddin N mohamad jamil Mubarak, Abdul Muhammad Fadli Muhammad Randy Gelby Hattari Muhammad, Miftah Nasir, Dahlan Potale, Lisa Elisia Putra, Surya Adi Pratama Rahman, Muhammad Natsir Ramadhan, M Thaariq Ranjasmara, Muhammad Rasyid, Ramly Rofika Julianti Hablum Rosihan rosihan, rosihan Saiful Do Abdullah Salkin Lutfi Salman, Ardi Sirajuddin, Hairil Kurniadi Syarifuddin N. Kapita Tempola, Firman Umar Umar Yasir Muin