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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Techno.Com: Jurnal Teknologi Informasi Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics EMITTER International Journal of Engineering Technology KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Technomedia Journal Applied Technology and Computing Science Journal GUYUB: Journal of Community Engagement Proceeding ISETH (International Summit on Science, Technology, and Humanity) Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Jurnal Informatika: Jurnal Pengembangan IT
Tessy Badriyah, Tessy
Politeknik Elektronika Negeri Surabaya
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Building a Recommendation System for Online Shopping Based on Item-Based Collaborative Filtering Badriyah, Tessy; Prasetyaningrum, Ira; Adhi P., Basik
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2373

Abstract

This research applied an innovation in developing online shopping, using recommendation system. Recommendation System applies finding knowledge technique which is called itembased Collaborative Filtering. This works with by building information about items that are preferred by the customers. Collaborative Filtering filters data based on similarities or certain characteristics, so that the system is able to provide information based on patterns from a certain group of data that are almost the same.With recommendation system, customers could benefit from the recommended items which they may favour, generated automatically by the system. It is hoped that it could improve the convenience to shop and reduce the time needed by customers to search for items. Therefore it could increase the competitiveness of online shops that use a recommendation system.
Co-Authors Achmad Basuki Achmad Basuki Adhi P., Basik Afifah, Izza Nur Agung Muliawan Ali Ridho Barakbah Alwan Fauzi Andri Permana Wicaksono APRIANDY, KEVIN ILHAM Arna Fariza Assidiqi, Moh Hasbi Assodiky, Hilmy Bima Sena Bayu Dewantara Binti Kholifah Dadet Pramadihanto Daisy Rahmania Syarif Deyana Kusuma Wardani Dimas Bagus Santoso Faradisa, Rosiyah Fitri Setyorini Hamida, Silfiana Nur Hardiyanti, Fitriani Rohmah Hilmy Assodiky Huda, Achmad Thorikul Idris Winarno Ika Restuningtyas Ira Prasetyaningrum iwan Syarif Kholifah, Binti Maulana, Hanan Ammar Maulana, Yufri Isnaini Rochmat Muhlis Tahir Nur Sakinah Pahlevi, Muhammad Nur Riza Prasetyo Wibowo Rabiatul Adawiyah Rachmawati, Oktavia Citra Resmi Ria Rahmawati Rosiyah Faradisa Rudi Kurniawan Rulisiana Widodo Selvia Ferdiana Kusuma Sesulihatien, Wahjoe Tjatur Setiawardhana, Setiawardhana Solichul Huda Susanti, Puspasari Tri Harsono Wicaksono, Andri Permana Willy Sandhika Yufri Isnaini Rochmat Maulana