<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "RECOMMENDER SYSTEMS USING\r\nHYBRID DEMOGRAPHIC AND CONTENT-BASED FILTERING\r\nMETHODS FOR UMKM PRODUCTS"^^ . "RECOMMENDER SYSTEMS USING\r\nHYBRID DEMOGRAPHIC AND CONTENT-BASED FILTERING\r\nMETHODS FOR UMKM PRODUCTS\r\nSalsa Nadira Putri1), Tjut Awaliyah Zuraiyah2), Dinar Munggaran Akhmad3)\r\n1,2,3 Department of Computer Science, Faculty of Mathematics and Natural Science, Pakuan University,\r\nBogor, West Java, 16143, Indonesia\r\nAbstract\r\nMarketing digitization such as e-commerce is needed by micro, small and medium enterprises\r\n(UMKM) in Bogor City and Regency so that the products are more easily accessible to consumers. One\r\nof the digital marketing that is commonly used by consumers is an e-commerce website. The\r\nRecommendation System is implemented into e-commerce websites to increase consumer convenience\r\nin online shopping. The recommendation systems method applied is Demographic Filtering and\r\nContent-based Filtering. Demographic Filtering uses IMDB Weighted Rating calculations which\r\ngenerate recommendations globally and give recommendations based on each product's IMDB\r\nWeighted score. Content-based Filtering uses Cosine Distance calculations which generate personal\r\nrecommendations and give recommendations based on the score cosine distance of each product in the\r\nform of a presentation of the similarity of products that have been purchased with other products. This\r\nresearch uses 107 UMKM fashion and craft product data that was obtained from Bogor City Regional\r\nCraft Center which sells various kinds of UMKM products from Bogor City and Regency. Data\r\npreprocessing is then carried out on the raw data, with the Data Cleaning, Data Transforming and Data\r\nSplitting stages which divide the data in a ratio of 80:20. The accuracy of Demographic Filtering\r\nRecommendation System reaches 82.7% and Content-based Filtering Recommendation System reaches\r\n100%.\r\nKeywords: UMKM; Recommender System; Demographic Filtering; Content-based Filtering"^^ . "2024-07-10" . . . "Universitas Pakuan"^^ . . . "Fakultas Matematika dan Pengetahuan Alam, Universitas Pakuan"^^ . . . . . . . . . . . . . . . . . . "Salsa"^^ . "Nadira Putri"^^ . "Salsa Nadira Putri"^^ . . "Dinar"^^ . "Dinar Munggaran Ahmad"^^ . "Dinar Dinar Munggaran Ahmad"^^ . . "Tjut"^^ . "Awaliyah Zuraiyah"^^ . "Tjut Awaliyah Zuraiyah"^^ . . "Universitas Pakuan"^^ . . . "Fakultas Matematika dan Ilmu Pnegetahuan Alam"^^ . . . "Program Studi Ilmu Komputer"^^ . . . . . . . "RECOMMENDER SYSTEMS USING\r\nHYBRID DEMOGRAPHIC AND CONTENT-BASED FILTERING\r\nMETHODS FOR UMKM PRODUCTS (Text)"^^ . . . "Laporan - Salsa Nadira Putri - 065118203.pdf"^^ . . "HTML Summary of #8899 \n\nRECOMMENDER SYSTEMS USING \nHYBRID DEMOGRAPHIC AND CONTENT-BASED FILTERING \nMETHODS FOR UMKM PRODUCTS\n\n" . "text/html" . . . "Ilmu Komputer"@en . .