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All Journal Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Algoritma, Logika dan Komputasi Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi)
Dian Novianto
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Library & Information Science

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Sistem Rekomendasi Hybrid untuk Pemesanan Hidangan Berdasarkan Karakteristik dan Rating Hidangan Lukas Tommy; Dian Novianto; Yohanes Setiawan Japriadi
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2687

Abstract

The method that was often applied in recommender systems was content-based filtering or collaborative filtering which had several drawbacks if applied singly so that its accuracy was not too high. This study intended to solve the drawbacks of both by combining these two methods into a hybrid method. Apriori algorithm was used to provided recommendations based on dishes’s category and price range in customer order history or wishlist. The similarity between dishes was calculated using adjusted-cosine similarity algorithm while customer’s rating for dishes prediction was calculated using weighted sum algorithm. The values generated by these two methods were then averaged for recommendation process. The proposed hybrid recommender system successfully combines content-based with collaborative filtering methods where its precision and recall values when measured by confusion matrix are 80.73% and 76.52%. By considering the characteristics of dishes that have been ordered by customer, the recommender system is able to recommend new dishes or dishes that have not been ordered as long as their characteristics are similar to the dishes the customer has ordered.
Co-Authors Budi Nugraha Cindy Aprilia Ellya Helmud Franli Chandra Thian Lukas Tommy Reza Oktaviani Samudra Samudra Yohanes Setiawan Japriadi