Metode dari Hybrid Recommender System di e-Learning Menggunakan Design Science Research Methodology

Eko Travada SP

Eko Travada SP Universitas Nasional Pasim

Keywords: Collaborative filtering, Machine Learning, Research Methodology, Clustering Method, Hybrid Similarity

Abstract

At this time, the use of learning independently and through online media is an inseparable part of the education segment, including the use of information retrieval technology to provide students with alternative learning stages. The Design Science Research Methodology is the topic of system creation methodology that is posed by this research, given that this approach does not attract much attention to researchers today, especially in the development of learning systems. This article addresses measures to build a learning framework that can provide learners with suggestions for the collection of the subject matter. The stages of device creation are addressed in phases via the Design Science Analysis Approach. This study includes several methods of system growth, including collaborative filtering, clustering process, and similarity to hybrids. This research is one of the foundations for methods of system creation, in particular for the implementation of e-learning, both in terms of methodology and technology application. Highlighting The stages of constructing a hybrid e-learning recommendation Implementation of creation using the methods of Design Science Analysis Creation of systems focused on collaborative filtering, machine learning, techniques of clustering, and similarities between hybrids.

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