SISTEM REKOMENDASI PEMBELIAN SMARTPHONE
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Abstract
The development of communication technology allows people to interconnected with each other without being limited by distance, space and time. Smartphone is one of the communication tools that is now widely used by everyone as a communication tool between people. And now many companies offer a variety of smartphone products, but it provides difficulties to everyone in choosing the most suitable smartphone for them. Therefore a recommendation system is needed to overcome these difficulties. In this study a smartphone purchase recommendation system was made based on other user ratings, a smartphone brand that uses the collaborative filtering method. This system can recommend a smartphone brand based on the results of the similarity calculation of the users who later one user will be compared to another user then from the comparison results between users searched for the Similarity value that is closest to 1 which means similar.
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Jurnal Komunikasi Creative Commons Attribution-ShareAlike 4.0 International License.
References
Daeng, I. T. M., Mewengkang, N. N., & Kalesaran, E. R. (2017). Penggunaan smartphone dalam menunjang aktivitas perkuliahan oleh mahasiswa FISPOL UNSRAT Manado. Acta Diurna Komunikasi, 6(1).
Timbowo, D. (2016). Manfaat Penggunaan Smartphone Sebagai Media Komunikasi (Studi pada Mahasiswa Jurusan Ilmu Komunikasi Fakultas Ilmu Sosial dan Politik Universitas Sam Ratulangi). Acta Diurna Komunikasi, 5(2).
Yuen, K. K. F. (2017). The fuzzy cognitive pairwise comparisons for ranking and grade clustering to build a recommender system: An application of smartphone recommendation. Engineering Applications of Artificial Intelligence, 61, 136-151.
Kusnadi, A., Widiarso, C. K., & Hugeng, H. (2016). Rancang Bangun Sistem Rekomendasi Pemilihan Smartphone Berbasis Web. Ultima InfoSys: Jurnal Ilmu Sistem Informasi, 7(1), 31-37.
Jayadi, E., Mulyawan, B., & Lauro, M. D. (2020). Implementasi Metode Collaborative Filtering untuk Analisis Data Belanja Konsumen Berbasis Website (Studi Kasus Restoran MyKitchen). Jurnal Ilmu Komputer dan Sistem Informasi, 9(1), 57-61.
Daniel, D., Mulyawan, B., & Sutrisno, T. PEMBUATAN APLIKASI E-COMMERCE BERBASIS WEB DENGAN FITUR REKOMENDASI MENGGUNAKAN METODE CONTENT-BASED FILTERING. Jurnal Ilmu Komputer dan Sistem Informasi, 10(1).
Marlius, D. (2017). Keputusan pembelian berdasarkan faktor psikologis dan bauran pemasaran pada PT. Intercom Mobilindo Padang. Jurnal pundi, 1(1).
Rahman, N. T., & Kholifah, I. N. (2020). Sistem Pendukung Keputusan Untuk Pemilihan Smartphone Dengan Menggunakan Metode Smart (Simple Multy Attribute Rating). JURNAL FASILKOM (teknologi inFormASi dan ILmu KOMputer), 10(3), 184-191.
Arbaini, P. (2020). Pengaruh consumer online rating dan review terhadap keputusan pembelian pada pengguna marketplace tokopedia. Jurnal Bisnis dan Manajemen, 7(1).
Mulyandi, M. R. (2022). PENGARUH ONLINE CUSTOMER REVIEW DAN ONLINE CUSTOMER RATING TERHADAP MINAT BELI PELANGGAN E-COMMERCE. Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan, 1(1), 121-125.
Februariyanti, H., Laksono, A. D., Wibowo, J. S., & Utomo, M. S. (2021). IMPLEMENTASI METODE COLLABORATIVE FILTERING UNTUK SISTEM REKOMENDASI PENJUALAN PADA TOKO MEBEL. Jurnal Khatulistiwa Informatika, 9(1).
Ramadhanty, E. (2020). Penerapan Metode Collaborative Filtering Pada Sistem Informasi Penjualan dan Pembelian Studi Kasus: Website Toko Helda Collection. Jurnal STRATEGI-Jurnal Maranatha, 2(2), 564-580.
Prasetyo, B., Haryanto, H., Astuti, S., Astuti, E. Z., & Rahayu, Y. (2019). Implementasi Metode Item-Based Collaborative Filtering dalam Pemberian Rekomendasi Calon Pembeli Aksesoris Smartphone. Jurnal Eksplora Informatika, 9(1), 17-27.