Sistem Rekomendasi Suku Cadang Berdasarkan Item Based Filtering

Christian Wibisono (PT. ATEJA Tritunggal)
Lucky Surya Haryadi (PT. Wijaya Adiputra Sentosa)
Juan Elisha Widyaya (PT. Yamaha Indonesia Motor Mfg.)
Swat Lie Liliawati

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Vol 7 No 1 (2021): JuTISI

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.