{"id":1381,"date":"2025-05-19T07:37:17","date_gmt":"2025-05-19T07:37:17","guid":{"rendered":"https:\/\/online.binus.ac.id\/computer-science\/?p=1381"},"modified":"2025-05-19T07:37:18","modified_gmt":"2025-05-19T07:37:18","slug":"market-basket-analysis-pada-bisnis-kedai-kopi-menggunakan-algoritma-apriori","status":"publish","type":"post","link":"https:\/\/online.binus.ac.id\/computer-science\/2025\/05\/19\/market-basket-analysis-pada-bisnis-kedai-kopi-menggunakan-algoritma-apriori\/","title":{"rendered":"Market Basket Analysis pada Bisnis Kedai Kopi Menggunakan Algoritma Apriori"},"content":{"rendered":"

oleh Jullend Gatc, S.T., M.Kom. <\/span>(Faculty Member PJJ CS)<\/strong><\/p>\n

Industri <\/span>kopi <\/span>di <\/span>Indonesia <\/span>mengalami <\/span>pertumbuhan <\/span>yang <\/span>pesat <\/span>dalam <\/span>beberapa <\/span>tahun <\/span>terakhir. <\/span>Menurut <\/span>data <\/span>dari <\/span>Badan <\/span>Pusat <\/span>Statistik <\/span>tahun <\/span><\/strong>2023<\/strong>, <\/span>produksi <\/span>kopi <\/span>nasional <\/span>mencapai <\/span>758,7 <\/span>ton, <\/span>dengan <\/span>kontribusi <\/span>besar <\/span>dari <\/span>beberapa <\/span>provinsi <\/span>seperti <\/span>Riau, <\/span>Sumatera <\/span>Utara, <\/span>Lampung, <\/span>Bengkulu, <\/span>dan <\/span>Aceh <\/span>yang <\/span>menyumbang <\/span>sekitar <\/span>69% <\/span>dari <\/span>total <\/span>produksi. <\/span>Tidak <\/span>hanya <\/span>di <\/span>pasar <\/span>domestik, <\/span>Indonesia <\/span>juga <\/span>mencatat <\/span>kinerja <\/span>ekspor <\/span>kopi <\/span>yang <\/span>sangat <\/span>baik, <\/span>dengan <\/span>nilai <\/span>mencapai <\/span>592 <\/span>juta <\/span>USD <\/span>pada <\/span>tahun <\/span>yang <\/span>sama. <\/span>Fakta <\/span>ini <\/span>menunjukkan <\/span>bahwa <\/span>industri <\/span>kopi <\/span>memegang <\/span>peranan <\/span>penting <\/span>dalam <\/span>perekonomian <\/span>nasional. <\/span>Namun, <\/span>seiring <\/span>dengan <\/span>pertumbuhan <\/span>tersebut, <\/span>para <\/span>pelaku <\/span>usaha <\/span>di <\/span>sektor <\/span>ini <\/span>juga <\/span>dihadapkan <\/span>pada <\/span>tantangan <\/span>baru, <\/span>khususnya <\/span>dalam <\/span>memahami <\/span>perilaku <\/span>konsumen <\/span>untuk <\/span>meningkatkan <\/span>strategi <\/span>pemasaran <\/span>dan <\/span>penjualan.<\/span><\/p>\n

\"\"<\/p>\n

Untuk <\/span>menjawab <\/span>tantangan <\/span>ini, <\/span>penelitian <\/span>dilakukan <\/span>dengan <\/span>menerapkan <\/span>metode <\/span>Market <\/span>Basket <\/span>Analysis (<\/span>MBA) <\/span><\/strong>menggunakan <\/span>algoritma <\/span>Apriori<\/strong>. <\/span>Tujuan <\/span>utamanya <\/span>adalah <\/span>mengidentifikasi <\/span>pola <\/span>pembelian <\/span>produk <\/span>yang <\/span>sering <\/span>dibeli <\/span>secara <\/span>bersamaan <\/span>oleh <\/span>pelanggan <\/span>pada <\/span>sebuah <\/span>kedai <\/span>kopi, <\/span>sehingga <\/span>dapat <\/span>dijadikan <\/span>dasar <\/span>untuk <\/span>pengembangan <\/span>model <\/span>rekomendasi <\/span>produk <\/span>yang <\/span>relevan. <\/span>Penelitian <\/span>dimulai <\/span>dengan <\/span>analisis <\/span>masalah <\/span>dan <\/span>studi <\/span>literatur, <\/span>dilanjutkan <\/span>dengan <\/span>pengumpulan <\/span>data <\/span>transaksi <\/span>pelanggan. <\/span>Selanjutnya, <\/span>data <\/span>tersebut <\/span>diolah <\/span>menggunakan <\/span>algoritma <\/span>Apriori <\/span>dengan <\/span>parameter <\/span>minimum <\/span>support <\/span>sebesar <\/span>1%, <\/span>minimum <\/span>confidence <\/span>25%, <\/span>dan <\/span>lift <\/span>ratio <\/span>lebih <\/span>dari <\/span><\/strong>1<\/strong>. <\/span>Melalui <\/span>proses <\/span>ini, <\/span>dihasilkan <\/span>total <\/span>14 <\/span>association <\/span>rules <\/span><\/em><\/strong>yang <\/span>menunjukkan <\/span>hubungan <\/span>antara <\/span>produk-<\/span>produk <\/span>yang <\/span>sering <\/span>dibeli <\/span>bersama.<\/span><\/p>\n

Hasil <\/span>analisis <\/span>menunjukkan <\/span>beberapa <\/span>kombinasi <\/span>produk <\/span>yang <\/span>memiliki <\/span>nilai <\/span>asosiasi <\/span>kuat. <\/span>Contohnya, <\/span>kombinasi <\/span>Indomie <\/span>Rebus <\/span>dan <\/span>Telur<\/span><\/strong> memiliki <\/span>nilai <\/span>lift <\/span>sebesar <\/span>6.403 <\/span>dan <\/span>confidence <\/span>sebesar <\/span>68%, <\/span>sementara <\/span>Telur <\/span>dan <\/span>Indomie <\/span>Goreng<\/span><\/strong> memiliki <\/span>lift <\/span>4.600 <\/span>dengan <\/span>confidence <\/span>66%. <\/span>Kombinasi <\/span>lain <\/span>seperti <\/span>Cappuccino <\/span>dan <\/span>Kentang <\/span>Goreng<\/span><\/strong>, <\/span>serta <\/span>Kopi <\/span>Susu <\/span>dan <\/span>Es <\/span>Cokelat<\/span><\/strong>, <\/span>juga <\/span>menunjukkan <\/span>pola <\/span>pembelian <\/span>yang <\/span>cukup <\/span>kuat. <\/span>Pola-<\/span>pola <\/span>ini <\/span>dapat <\/span>dimanfaatkan <\/span>oleh <\/span>pengelola <\/span>kedai <\/span>kopi <\/span>untuk <\/span>menyusun <\/span>strategi <\/span>promosi <\/span>yang <\/span>lebih <\/span>efektif, <\/span>seperti <\/span>bundling <\/span>produk <\/span>atau <\/span>penempatan <\/span>produk <\/span>secara <\/span>strategis <\/span>berdasarkan <\/span>kebiasaan <\/span>pelanggan.<\/span><\/p>\n

Sebagai <\/span>kesimpulan, <\/span>penerapan <\/span>algoritma <\/span>Apriori <\/span>dalam <\/span>analisis <\/span>keranjang <\/span>pasar <\/span>terbukti <\/span>memberikan <\/span>hasil <\/span>yang <\/span>signifikan <\/span>dalam <\/span>mengidentifikasi <\/span>pola <\/span>pembelian <\/span>konsumen <\/span>di <\/span>kedai <\/span>kopi. <\/span>Temuan <\/span>ini <\/span>tidak <\/span>hanya <\/span>memberikan <\/span>kontribusi <\/span>bagi <\/span>pengembangan <\/span>strategi <\/span>pemasaran <\/span>berbasis <\/span>data <\/span>di <\/span>sektor <\/span>industri <\/span>F&<\/span>B, <\/span>tetapi <\/span>juga <\/span>menjadi <\/span>referensi <\/span>penting <\/span>dalam <\/span>pengembangan <\/span>sistem <\/span>rekomendasi <\/span>produk. <\/span>Model <\/span>ini <\/span>mampu <\/span>meningkatkan <\/span>efisiensi <\/span>promosi, <\/span>memaksimalkan <\/span>penjualan, <\/span>dan <\/span>memberikan <\/span>pengalaman <\/span>yang <\/span>lebih <\/span>personal <\/span>kepada <\/span>pelanggan.<\/span><\/p>\n

 <\/p>\n

Sumber: Penelitian Dosen dan Mahasiswa PJJ CS<\/p>\n

Editor: Yudy Purnama, S.Kom., M.TI<\/span><\/p>\n

#BINUSRESEARCHPOINT #TEKNIKINFORMATIKA #COMPUTERSCIENCE #BINUS #BINUSUNIVERSITY<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

oleh Jullend Gatc, S.T., M.Kom. (Faculty Member PJJ CS) Industri kopi di Indonesia mengalami pertumbuhan yang pesat dalam beberapa tahun terakhir. Menurut data dari Badan Pusat Statistik tahun 2023, produksi kopi nasional mencapai 758,7 ton, dengan kontribusi besar dari beberapa provinsi seperti Riau, Sumatera Utara, Lampung, Bengkulu, dan Aceh yang menyumbang sekitar 69% dari total […]<\/p>\n","protected":false},"author":702,"featured_media":1382,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[19,20,18,17,15],"class_list":["post-1381","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article","tag-binus","tag-binusuniversity","tag-computerscience","tag-teknikinformatika","tag-binusresearchpoint"],"_links":{"self":[{"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/posts\/1381","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/users\/702"}],"replies":[{"embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/comments?post=1381"}],"version-history":[{"count":1,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/posts\/1381\/revisions"}],"predecessor-version":[{"id":1383,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/posts\/1381\/revisions\/1383"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/media\/1382"}],"wp:attachment":[{"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/media?parent=1381"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/categories?post=1381"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/tags?post=1381"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}