SHABRINI, SHABRINI (2020) ANALISA DAN PERANCANGAN SISTEM E-COMMERCE BERBASIS WEB MENGGUNAKAN METODE MARKET BASKET ANALYSIS (STUDI KASUS : UMKM CENTER KABUPATEN TEMANGGUNG). S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
UMKM is a type of business that is growing and contributing greatly to the economy in Indonesia. To face increasingly fierce economic competition, a strategy is needed to increase business activities. This study aims to design an e-commerce system at the UMKM Center in Temanggung Regency using the Market Basket Analysis method, which is one of the techniques of data mining, to analyze as well as find a pattern of rules through sales transaction data. The final result of this study is the formation of an itemset combination using a minimum standard of support of 30% and the formation of association rules with a minimum standard of confidence of 70%. It is known that the products with the highest value of sale bananas are mini crispy with a support value of 45% and 75% confidence and Sindoro Arabica coffee, mushroom chips with a support value of 30% and a confidence of 75%. The higher the support value and the confidence value, the stronger the relationship between product items which can help in determining product layout placement settings and determining future stock inventory. Key words: E-Commerce, Market Basket Analysis, Data Mining, UMKM UMKM merupakan salah satu jenis usaha yang berkembang dan memberikan kontribusi besar bagi perekonomian di Indonesia. Untuk menghadapi persaingan ekonomi yang semakin ketat dibutuhkan adanya strategi dalam upaya meningkatkan kegiatan usaha. Adapun penelitian ini bertujuan untuk merancang sistem e-commerce pada UMKM Center Kabupaten Temanggung menggunakan metode Market Basket Analysis yang merupakan salah satu teknik dari data mining, untuk melakukan analisis sekaligus menemukan suatu pola aturan melalui data transaksi penjualan. Hasil akhir dari penelitian ini berupa pembentukan kombinasi itemset menggunakan standar minimal support 30% dan pembentukan aturan asosiasi dengan standar minimal confidence 70%. Diketahui produk dengan nilai tertinggi pisang sale, mini crispy dengan nilai support 45% dan confidence 75% dan kopi sindoro arabica, keripik jamur dengan nilai support 30% dan confidence 75%. Semakin tinggi nilai support dan nilai confidence maka semakin kuat hubungan antar item produk yang dapat membantu dalam menentukan pengaturan penempatan tata letak produk dan menentukan persediaan stok dikemudian harinya. Kata kunci: E-Commerce, Market Basket Analysis, Data Mining, UMKM
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