Jurnal ICT : Information Communication & Technology Vol. 19, No.1, Juli 2020, pp. 50-59 p-ISSN: 2302-0261, e-ISSN: 2303-3363, DOI: 10.36054/jict-ikmi.v19i1.143 https://ejournal.ikmi.ac.id/index.php/jict-ikmi 50 Sistem Customer Relationship Management (CRM) Menggunakan Metode Asosiasi Algoritma Apriori Untuk Menentukan Rekomendasi Produk Risma Restu Ramadina 1* , Tacbir Hendro Pudjiantoro 2 , Irma Santikarama 3 1,2,3 Program Studi Teknik Informatika, Universitas Jenderal Achmad Yani, Indonesia Email: 1 resturisma18@gmail.com, 2 tacbir.hendro@lecture.ac.id, 3 irma.santikarama @lecture.unjani.ac.id INFORMASI ARTIKEL ABSTRAK Histori artikel: Naskah masuk, 10 Juli 2020 Direvisi, 25 Agustus 2020 Diiterima, 1 September 2020 Abstract- There are companies in the fashion sector that sell clothing for both women and men at affordable prices and quality. Currently, there are many competitors everywhere, especially in the Cimahi City area. The current SR Fashion Store boutique has a target of increasing the number of customers and retaining existing customers. However, because this fashion company has problems, namely delivery and determining recommendations that are directly in place, resulting in inconvenience for customers who make recommendations that are not in accordance with the tastes of these customers, because the services provided by the boutique have not been maximized causing customer loyalty to decline. Solutions to overcome these problems must be made a Customer Relationship Management System (CRM) that can be managed by a fashion company besides that the system to be built can also be accessed by customers. The system built will provide recommendations based on the customer's transaction history. To provide recommendations in a system by applying the association method using a priori algorithm, these recommendations are received by member subscribers via email messages. By looking at the transaction history of a customer who has made transactions more than five times, the recommendation will automatically be sent to the customer. The application of the association method using this a priori algorithm shows an attitude to determine product recommendations based on transaction history, by taking 5 product samples and 7 transaction histories in one member producing 2 recommendation rules with a support value of 42.8% and 75% trust. Kata Kunci: CRM Rekomendasi Transaksi Abstrak- Terdapat perusahaan pada bidang fashion dengan menjual pakaian baik wanita mau pun pria dengan harga dan kualitas terjangkau. Perusahaan fashion saat ini sudah banyak pesaing dimana-mana khususnya di daerah Kota Cimahi. Butik SR Fashion Store saat ini memiliki target yaitu meningkatkan jumlah pelanggan serta mempertahankan pelanggan lama. Namun karena perusahaan fashion ini mempunyai permasalahan yaitu penyampaian dan menentukan rekomendasi masih dilakukan secara langsung ditempat, sehingga mengakibatkan ketidaknyamanan bagi pelanggan apabila rekomendasi yang ditawarkan tidak sesuai dengan selera pelanggan tersebut, karena pelayanan yang diberikan oleh pihak butik belum maksimal menyebabkan loyalitas pelanggan semakin menurun. Solusi mengatasi permasalahan tersebut harus dibuatnya Sistem Customer Relationship Management (CRM) yang dapat dikelola oleh perusahaan fashion selain itu sistem yang akan dibangun juga dapat diakses oleh pelanggan. Sistem yang dibangun akan memberikan rekomendasi secara sistem berdasarkan histori transaksi pelanggan.