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Author

Arif Setiawan

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2 papers indexed here

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Open access Aug 2026

Decision Support System for Furniture Product Recommendation Using Item-Based Collaborative Filtering and Min-Max Normalization

A web-based decision support system for furniture product recommendation is proposed by integrating the Item-Based Collaborative Filtering (IBCF) method with min–max normalisation and a content-based cold-start mechanism into a single recommendation framework for furniture product recommendation.

KharisatunNisa, E. Darmanto, Arif Setiawan · 0 citations
Review Open access Aug 2026

Sentiment Analysis of User Reviews for the Locket Widget Application on Google Play Store Using the Naive Bayes Classifier

User reviews on the Google Play Store contain valuable opinions that can be utilised to evaluate application quality, including the Locket Widget application. This study aims to classify user review sentiment into positive, neutral, and negative categories using the Naive Bayes Classifier algorithm with Term Frequency–...

Athia Aisy Bakhita, Arif Setiawan, E. Darmanto · 0 citations

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