Author

W. Caesarendra

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Open access Aug 2026

Comparing Recommender System Algorithms: From Traditional Collaborative Filtering to Deep Learning Autoencoder on MovieLens Datasets

With the increasing prevalence of digital platforms, recommender systems play a crucial role in personalizing user experiences. However, selecting an appropriate recommender system algorithm remains challenging due to inconsistent evaluation procedures and limited comparative studies that simultaneously address accurac...

Imam Fahrur Rozi, Triyanna Widiyaningtyas, W. Caesarendra · Jurnal Teknik Informatika (J... · 0 citations

Open access Sep 2026

Meta-level based recommender system using knowledge graph-based neural collaborative filtering

Cold-start remains a major challenge in collaborative filtering, especially when only limited user interactions are available. This study introduces Meta KG-NCF, a hybrid recommender that combines knowledge graph semantics, neural collaborative filtering, and first-order model-agnostic meta-learning (FOMAML). The knowl...

Erfan Ainul Yakin, Triyanna Widiyaningtyas, H. Suswanto et al. · Discover Artificial Intellig... · 0 citations

Conference Open access 2026

Numerical analysis of WoW sensor architecture for energy efficient e-VTOL systems

The rapid development of electric Vertical Take off and Landing (e-VTOL) aircraft as a sustainable urban air mobility solution has highlighted the critical role of avionic systems in overall energy efficiency. Weight on Wheel (WoW) sensors responsible for detecting ground-air transition states directly influence power...

Siti Thoifatun Najiah, R. F. Naryanto, Ninda Kurniadi et al. · E3S Web of Conferences · 0 citations