Industri ritel di Indonesia mengalami pertumbuhan yang pesat setiap tahunnya. Pertumbuhan tersebut membuat tingkat kompetisi dan tantangan pada industri ini semakin tinggi. Salah satu tantangan yang harus dihadapi antara lain perubahan pola belanja masyarakat. Dalam memahami perilaku pola belanja masyarakat, pencarian pola asosiasi antar produk yang dibeli konsumen dapat dilakukan dengan menggunakan metode Market Basket Analysis. Dua algortima yang digunakan yaitu algoritma Apriori dan Speaker-listener Label Propagation Algorithm SLPA. Dari hasil aturan yang didapat berdasarkan algoritma Apriori diperoleh tiga belas aturan dan berdasarkan hasil algoritma SLPA diperoleh 41 komunitas dari kategori produk sebagai luaran akhir penelitian.

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The retail industry in Indonesia has been rapidly growing each year. The growth and development of retail industry in Indonesia also causes higher level of competition and challenge within the scope of industrial environment. One of the challenges is the pattern of public spending. In order to understand this challenge, it is necessary to conduct a research about pattern between products purchased by the customers which can be done using Market Basket Analysis Method. There are two algorithms used in this research, which are Apriori algorithm and Speaker listener Label Propagation Algorithm SLPA. In the result, Apriori algorithm obtained 13 rules whilst SLPA algorithm resulted in 41 communities from the product category as the final output of the research.