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All Journal Indonesian Journal of Multidisciplinary Science
Janson Hendryli
Tarumanagara University
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences

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Implementing Hybrid Filtering on Korean Drama Recommendation Through K Nearest Neighbor Algorithm Mutiara Ramadhani Sugiri; Viny Christanti Mawardi; Janson Hendryli
Indonesian Journal of Multidisciplinary Science Vol. 1 No. 4 (2022): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1596.895 KB) | DOI: 10.55324/ijoms.v1i4.72

Abstract

Over time, many cultures from South Korea entered Indonesia, such as music, food, and drama series. From year to year, the number of Korean dramas released increased as well as fans of the Korean drama. Therefore, the researcher aimed to create a system that might help K-drama lovers to sort recommendations regarding favorite dramas. The researcher designed the system, starting from collecting data to calculating adjusted cosine similarity. Based on the results of the user acceptance testing and the answers of the respondents, it can be concluded that the Korean drama recommendation system website's function is effective and provide suggestions based on user ratings.
Co-Authors Mutiara Ramadhani Sugiri Viny Christanti M