Sistem Rekomendasi Suku Cadang Berdasarkan Item Based Filtering
Main Article Content
Replaceable spare part on workshop have many transaction and possibility thus recommender system is needed to simplify the selection process. We propose recommender system with item collaborative filtering, with high data sparsity. With Single Value Decomposition we reduce the matriks to improve the system and decrease “noise” value. Model will be evaluated using MAE, RMSE, and FCP metrics. The results of recommendation model are MAE = 1.2752, RMSE = 1.4882, dan FCP = 0.4947.
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How to Cite
C. Wibisono, L. S. Haryadi, J. E. Widyaya, and S. L. Liliawati, “Sistem Rekomendasi Suku Cadang Berdasarkan Item Based Filtering”, JuTISI, vol. 7, no. 1, Apr. 2021.
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial used, distribution and reproduction in any medium.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.