Penerapan Metode Weighted Product Berbasis Visualisasi Graph Database dalam Merekomendasikan Parfum Isi Ulang

 Defy Lukbatul Qolbiah (Universitas Nahdlatul Ulama Blitar, Blitar, Indonesia)
 Abd. Charis Fauzan (Universitas Nahdlatul Ulama Blitar, Blitar, Indonesia)
 (*)Tito Prabowo Mail (Universitas Nahdlatul Ulama Blitar, Blitar, Indonesia)

(*) Corresponding Author

Submitted: May 23, 2023; Published: June 30, 2023

Abstract

Perfume is useful for increasing self-confidence, creating satisfaction, eliminating bad odors, and making self-assessment more attractive. Refill perfumes are made from certain perfume seeds dissolved in a suitable solvent. Perfume has many types and strengths of aroma, but there are obstacles when people want to choose the desired perfume scent. This problem becomes research material because it is expected that this problem can be solved. To determine perfume recommendations, it is calculated using the Weighted Product method and visualized using a graph database. In the Neo4j Graph Database visualization, the perfume category and perfume name are used as nodes and the ranking results are used as edges. From the ranking results using the Weighted Product method, 21 perfumes for each category are entered into the Graph Database visualization and a total of 63 perfumes will appear in the perfume recommendation system.Refill perfume is a perfume made from certain perfume seeds dissolved in the appropriate solvent.

Keywords


Weighted Product; Graph Database; Perfume

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Copyright (c) 2023 Defy Lukbatul Qolbiah, Abd. Charis Fauzan, Tito Prabowo

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