PENERAPAN ALGORITMA COLABORATIVE FILTERING UNTUK PEMBERIAN REKOMENDASI PADA PRODUK KAIN TENUN (Studi Kasus Kain Tenun Parengan)
DOI:
https://doi.org/10.30736/jti.v2i1.27Keywords:
e-commerce, similarity, predictionAbstract
Electronic commerce (e-commerce) is a concept that can be described as a process of buying and selling goods on the internet or the process of buying and selling or exchange of products, services, and information through information networks including the Internet. In developing e-commerce should be able to provide recommendations to customers. This recommendation aims to provide an overview of information about products that are considered in accordance with the wishes of customers. The method used in this research is Item Based Collaborative Filtering, where the system will look for similarity purchase model (similarity item) With others. The system will search for ratings between items by level The similarities exist. Once the item-to-item rating is obtained, this rating will be used to calculate the value Similarity between items using the Adjusted Cosine Similarity approach. The last process is to calculate the rating prediction value that customers have never done to a particular item. This approach uses Weigted Sum formula results from predicted value will be made recommendations to customersDownloads
References
Suyanto, M. 2005. Aplikasi IT untuk UKM Menghadapi Persaingan Global. Yogyakarta: Kedaulatan Rakyat.
Uyun, S., Fahrurrozi, I., dan Mulyanto, A., 2011. Item Collaborative Filtering untuk Rekomendasi Pembelian Buku secara Online. JUSI, Vol. 1, No. 1 ISSN 2087-8737.
Pratama, Yudhistira Adhitya, et al. “Digital Cakery dengan Algoritma Collaborative Filtering.†JSM (Journal SIFO Mikroskil) 14.1 (2013):79-88.
Kurniawan, Arif, 2016. Sistem Rekomendasi Produk Sepatu Dengan Menggunakan Metode Collaborative Filtering. Seminar Nasional Teknologi Informasi dan Komunikasi 2016 (SENTIKA 2016), Yogyakarta, 18-19 Maret 2016, ISSN: 2089-9815.
Irfan, M, dkk., 2014. Sistem Rekomendasi: Buku Online Dengan Metode Collaborative Filtering. JURNAL TEKNOLOGI TECHNOSCIENTIA, Vol. 7 No. 1 Agustus 2014, ISSN: 1979-8415.
Wiranto., Winarko, E., 2010. Konsep Multicriteria Collaborative Filtering Untuk Perbaikan Rekomendasi. Seminar Nasional Informatika 2010 (semnasIF 2010). UPN â€Veteran†Yogyakarta, 22 Mei 2010. ISSN: 1979-2328.
Goldberg, K., Roeder, T., Gupta, D., and Perkins, C., 2001, Eigentaste : A Constant Time Collaborative Filtering Algorithms, Information Retrieval Journal
Kangas, S., 2002, Collaborative Filtering and Recommendation Systems, LOUHI , Project Research Report, VTT Information Technology
Sarwar, B., Karypis, G., Konstan, J., dan Riedi, J., 2001, Item Based Collaborative Filtering Recommendation Algorthms, University of Minnesota, Minnieapolis
Purwanto, D., 2015, Rekomendasi Paket Pembelian Barang Pada Toko Online Dengan Collaborative Filtering. Seminar Nasional Sains dan Teknologi Terapan III 2015, Institut Teknologi Adhi Tama Surabaya, ISBN 978-602-98569-1-0.
Hakim, I.A.N, 2010. Sistem Rekomendasi Film Berbasis Web Menggunakan Metode Item-Based Collaborative Filtering Berbasis K-Nearest Neighbor. Laporan skripsi sarjana, Program Studi Ilmu Komputer, Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam Universitas Pendidikan Indonesia.
Downloads
Published
How to Cite
Issue
Section
License
Joutica : Journal of Informatic Unisla is licensed under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license. You are free to:
- Share copy and redistribute the material in any medium or format
- Adapt remix, transform, and build upon the material for any purpose, even commercially. This license is acceptable for Free Cultural Works.
The licensor cannot revoke these freedoms as long as you follow the license terms.
- Attribution You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- Share Alike If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Copyright
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Joutica : Journal of Informatic Unisla by Universitas Islam Lamongan is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://jurnalteknik.unisla.ac.id/index.php/elektronika/index
