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All Journal Gorga : Jurnal Seni Rupa Jurnal Teknologi dan Manajemen Informatika DINAMIKA DOTCOM Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer PROFIT : Jurnal Administrasi Bisnis MUST: Journal of Mathematics Education, Science and Technology Systemic: Information System and Informatics Journal Academia Open Teknika J-Intech (Journal of Information and Technology) Mavis : Jurnal Desain Komunikasi Visual Procedia of Social Sciences and Humanities JUSIFOR : Jurnal Sistem Informasi dan Informatika SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Elang: Journal Of Interdisciplinary Research
Yekti Asmoro Kanthi
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Physics Social Sciences Other

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An Android-Based User Recommendation System for Social Network Platform Using Collaborative Filtering Method on Youth Break the Boundaries Foundation: Sistem Rekomendasi Pengguna Aplikasi Jejaring Sosial Berbasis Android dengan Algoritma Cosine Similarity pada Youth Break the Boundaries Foundation Suhendra; Kanthi, Yekti Asmoro; Tirtana, Arif
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.156

Abstract

The popularity of social networking services has been increasing in recent years. Hundreds of millions of active users can pose a risk of information overload. These popular services have recommender systems that can capture user interests and provide users with potentially interesting information. It is different from the relatively new Youth Break the Boundaries (YBB) social networking application, it does not yet have complete features, let alone a complex recommender system which causes user interest in using the application is low. Implementing this system on the YBB application will affect the flow of the existing system so that a comprehensive update is needed. The development uses the cosine similarity algorithm on the application search page. It is proven to be able to provide recommendations for users with an accuracy rate of 0.92. With this system, users are helped in expanding their network with other users who have the same interests.
Co-Authors Adaptian, Juan Areca Addin Aditya Adnan Zulkarnain Anita . Bagus Kristomoyo Kristanto Cahyono, Lukman Arief Daniel Rudiaman Sijabat Dedy Ari Purnomo Diah Arifah Hadi , Hilman Nuril Koko Wahyu Prasetyo Muhamad Tegar Maha Putra Muhammad Reyhan Firnas Adani Mujiarso, Firda Rosa Olivia Mukhlis Amien Nira Radita Prakoso, Sigit Teguh Putri, Mahsa Savira Berlianti Rina Nurfitri Saiful Yahya Siti Aminah Srikandi Kumadji Sugeng Widodo Sugeng Widodo Suharyono Suharyono Suhendra Sulistiyo , Muhadi Aan Sya’rawi, Muhammad Mutawalli Tirtana, Arif Triyuni Triyuni Pratiwi Vanda Fransiska Armanda Sari Widjaya, Baharudin Mukti Yudho Prasetyo, Yudho