ANALISIS PERBANDINGAN ALGORITMA APRIORI DAN FP-GROWTH TERHADAP DATA TRANSAKSI PENJUALAN UNTUK MENGETAHUI POLA PEMBELIAN KONSUMEN (STUDI KASUS TOKO MAGENTA CELL)

Nelly Amalia, NIM.: 16650059 (2020) ANALISIS PERBANDINGAN ALGORITMA APRIORI DAN FP-GROWTH TERHADAP DATA TRANSAKSI PENJUALAN UNTUK MENGETAHUI POLA PEMBELIAN KONSUMEN (STUDI KASUS TOKO MAGENTA CELL). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Magenta Cell is a store with a variety of gadget products located at Indramayu district. More than just tens or even hundreds transactions happens from the sale of products everyday. However, that data is only continuously pilling up without being utilized. Meanwhile, this data can be used for being a useful information to support the business processes in the store that are also profitable. Therefore, with data mining techniques, transaction data at Magenta Cell stores in August, September, October 2019 will be processed to find consumer purchasing patterns. The data was previously grouped into 12 groups namely Accessories, SIM card, Vouchers, Headsets, Flashdisks, Memory, Tampered Glass, Cases, Power Banks, Batteries, Chargers, and Cables. The information to be obtained is obtained from the results of analyzing Apriori Algorithms and FP-Growth using Python and Weka tools. This research is able to implement data mining techniques using Apriori Algorithms and FP-Growth with Python and Weka tools. Then, the result of the research is analyzed to know the comparison from each algorithm, so that it will be known the estimated patterns of consumer purchases from the Magenta Cell store. From the result of the analysis, ut can be known that apriori algorithm is better if be seen from accuracy because it can reach the value of confidence 91 % on rule voucher => sim card, at the same time FP growth algorithm is better if be seen based on shorter time. There are 6 purchase pattern rule that can be known, i.e. tampered glass =>case, case =>headset, cables => case, accerssories + tampered glass =>case, voucher =>sim card, and tampered glass + headset => case.

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